[ { "id": "rozana-2026-vcfd", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visual Composition and Exploration of Financial Dataflows", "date": "2026-04", "abstract": "This thesis investigates how interactive visualization techniques can improve transparency\nin node-based editors for financial time-series data. Existing tools in this domain\nsupport workflow construction but provide limited means for inspecting intermediate\nvalues or tracing dataflow through a processing pipeline. Following a Data–Users–\nTasks design triangle, the work derives seven design requirements from the literature\nand implements them in a web-based node-based editor. The system provides nodelevel\nprobes for intermediate-state inspection, coordinated graph and chart views with\ncolor-coded linking, execution-based dataflow highlighting, and integrated backtesting\nvisualization. A case study using a moving average crossover workflow demonstrates\nthe system in operation. The results show that for static, fully visible time-series data,\ntemporal scrubbing provides no benefit over direct crosshair navigation, contrasting\nwith reactive visualization systems where timeline replay is necessary. Persistent color\nencoding replaces interactive brushing-and-linking, and user-controlled layout flexibility\nsupports both superposition and juxtaposition depending on the inspection task.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5586 ], "date_end": "2026-04", "date_start": "2025-08", "matrikelnr": "12024732", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "rozana-2026-vcfd-thesis.pdf", "type": "application/pdf", "size": 2278889, "path": "Publication:rozana-2026-vcfd", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/rozana-2026-vcfd/rozana-2026-vcfd-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/rozana-2026-vcfd/rozana-2026-vcfd-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2026/rozana-2026-vcfd/", "__class": "Publication" }, { "id": "muth-2026-clouds", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Real-Time Volumetric Rendering of Meteorological Cloud Data", "date": "2026-03-25", "abstract": "Traditional meteorological visualizations collapse the vertical structure of the atmosphere\ninto two-dimensional map overlays, losing precisely the information most relevant in\ncomplex terrain. Expert tools for three-dimensional atmospheric exploration exist, but\ntarget domain scientists on dedicated workstation infrastructure. This thesis presents a\npipeline for the real-time volumetric rendering of meteorological cloud data within the\nweBIGeo web-based geographic visualization platform, with the goal of making cloud\nstructure intuitively readable to general users in a standard web browser.\nThe pipeline transforms hourly ICON-D2 forecast output into a compressed, streamable\ntile hierarchy that a WebGPU ray-marcher samples at interactive frame rates. Preprocessing\na single forecast timestamp completes in approximately 33 s of compute time,\nproducing a tile hierarchy of roughly 86MiB on average. Rendering cost is well within\ninteractive bounds: even under high cloud coverage, the cloud pass consumes around\n2.25ms of GPU time, a small fraction of the 33ms budget for 30 fps. Qualitative evaluation\nagainst EUMETSAT satellite imagery shows that large-scale cloud patterns are\nreproduced with reasonable fidelity. Comparison against webcam imagery reveals three\nconcrete limitations: the coarse and non-uniform vertical resolution of the source data\nis insufficient to resolve sharp fog layer boundaries, the sub-grid density distribution\ndoes not preserve the character of small cloud elements such as wispy puffs, and the tile\nresolution is too coarse to encode the surface texture of individual cumulus cells. The\nsystem is best understood as a large-scale atmospheric context layer rather than a precise\nlocal forecast tool.", "authors_et_al": false, "substitute": null, "main_image": { "description": "clouds in weBIGeo", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1958, "image_height": 1159, "name": "muth-2026-clouds-teaser.png", "type": "image/png", "size": 4142519, "path": "Publication:muth-2026-clouds", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5585 ], "date_end": "2026-03", "date_start": "2025-10", "matrikelnr": "12226614", "supervisor": [ 1110 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [ { "href": "https://github.com/Qendolin/webigeo-clouds", "caption": "GitHub Cloud Renderer", "description": null, "main_file": 0 }, { "href": "https://github.com/Qendolin/webigeo-clouds-server", "caption": "GitHub Cloud Preprocessing Server", "description": null, "main_file": 0 } ], "files": [ { "description": "clouds in weBIGeo", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1958, "image_height": 1159, "name": "muth-2026-clouds-teaser.png", "type": "image/png", "size": 4142519, "path": "Publication:muth-2026-clouds", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "muth-2026-clouds-thesis.pdf", "type": "application/pdf", "size": 20583815, "path": "Publication:muth-2026-clouds", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-thesis:thumb{{size}}.png" }, { "description": "Short video sequence zooming into a cloudy scene", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "muth-2026-clouds-video.mp4", "type": "video/mp4", "size": 8692035, "path": "Publication:muth-2026-clouds", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-video:video.mp4" } ], "projects_workgroups": [ "d9555" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/", "__class": "Publication" }, { "id": "Musleh_PhD", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/224040", "title": "Guided Visual Analytics for Decision Making under Uncertainty", "date": "2026-03", "abstract": "Visual Analytics (VA) has emerged from the need to optimize decision making by involving human reasoning in sense making. The development of VA has been facilitated by significant technological advances in modern computer graphics and data processing capabilities. Involving humans in the loop aims to address high-risk scenarios where artificial intelligence (AI) automated approaches are insufficient. One active area of research with VA is the development of methods that enable the user to make efficient and effective decisions under high uncertainty. Yet, the field of VA research has not fully understood how user attitude, namely trust and confidence, interplay in VA decision making under uncertainty. Properties of the user attitude play a crucial role in optimizing VA decision making, but they are challenging to externalize and evaluate. For instance, user confidence in their decision emerges as an important indicator of effectiveness when the correctness of the decision cannot be measured. In this dissertation, we explore the use of guidance techniques to address uncertainties in VA decision making, focusing on scenarios where the correctness of decisions cannot be definitively established. Throughout this work, we learned that a multidimensional guidance mechanism can address uncertainties more effectively when uncertainties are challenging to quantify and visualize, especially in the case of subjective uncertainty. However, evaluating the effectiveness of guidance approaches requires a more comprehensive analysis of the interplay between trust and confidence within the sense-making process. Using provenance networks and SNA metrics can provide a more reliable and comprehensive assessment of user confidence, indicating that such approaches can be employed to support co-adaptive guidance.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "title,abstract,date,keywords", "repositum_presentation_id": null, "authors": [ 1867 ], "ac_number": "AC17745765", "date_end": "2025", "date_start": "2021", "doi": "10.34726/hss.2026.137814", "open_access": "yes", "pages": "185", "reviewer_1": [ 5252 ], "reviewer_2": [ 5243 ], "rigorosum": "2025-11", "supervisor": [ 1410 ], "research_areas": [ "InfoVis", "MedVis" ], "keywords": [ "Visualization", "Visual Analytics", "Guidance", "Trust", "Confidence" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Musleh_PhD-thesis.pdf", "type": "application/pdf", "size": 6169556, "path": "Publication:Musleh_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/Musleh_PhD/Musleh_PhD-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/Musleh_PhD/Musleh_PhD-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2026/Musleh_PhD/", "__class": "Publication" }, { "id": "kovacs-2026-sbg", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/226679", "title": "Style Brush: Guided Style Transfer for 3D Objects", "date": "2026-02-16", "abstract": "We introduce Style Brush, a novel style transfer method for textured meshes designed to empower artists with fine-grained control over the stylization process. Our approach extends traditional 3D style transfer methods by introducing a novel loss function that captures style directionality, supports multiple style images or portions thereof and enables smooth transitions between styles in the synthesized texture. The use of easily generated guiding textures streamlines user interaction, making our approach accessible to a broad audience. Extensive evaluations with various meshes, style images and contour shapes demonstrate the flexibility of our method and showcase the visual appeal of the generated textures. Finally, the results of a user study indicate that our approach generates visually appealing mesh textures that adhere to user-defined guidance and enable users to retain creative control during stylization. Our implementation is available on: https://github.com/AronKovacs/style-brush.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1950, 5415, 1410 ], "articleno": "e70308", "doi": "10.1111/cgf.70308", "issn": "1467-8659", "journal": "Computer Graphics Forum", "pages": "18", "publisher": "WILEY", "research_areas": [], "keywords": [ "3D style transfer", "directional guidance", "mesh texture synthesis", "user guidance" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2026/kovacs-2026-sbg/", "__class": "Publication" }, { "id": "chaves-de-plaza-2026-logcc", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/226667", "title": "LoGCC: Local-to-Global Correlation Clustering for Scalar Field Ensembles", "date": "2026-02", "abstract": "Correlation clustering (CC) offers an effective approach to analyze scalar field ensembles by detecting correlated regions and consistent structures, enabling the extraction of meaningful patterns. However, existing CC methods are computationally expensive, making them impractical for both interactive analysis and large-scale scalar fields. We introduce the Local-to-Global Correlation Clustering (LoGCC) framework, which accelerates pivot-based CC by leveraging the spatial structure of scalar fields and the weak transitivity of correlation. LoGCC operates in two stages: a local step that uses the neighborhood graph of the scalar field's spatial domain to build highly correlated local clusters, and a global step that merges them into global clusters. We implement the LoGCC framework for two well-known pivot-based CC methods, Pivot and CN-Pivot, demonstrating its generality. Our evaluation using synthetic and real-world meteorological and medical image segmentation datasets shows that LoGCC achieves speedups—up to 15 × for Pivot and 200 × for CN-Pivot—and improved scalability to larger scalar fields, while maintaining cluster quality. These contributions broaden the applicability of correlation clustering in large-scale and interactive analysis settings.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5565, 1410, 5566, 5567, 5568, 5569, 5570 ], "doi": "10.1109/TVCG.2025.3630550", "issn": "1941-0506", "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "2", "pages": "12", "pages_from": "2260", "pages_to": "2271", "publisher": "IEEE COMPUTER SOC", "volume": "32", "research_areas": [], "keywords": [ "Correlation Clustering", "Clustering Algorithms", "Uncertainty Visualization", "Ensemble Visualization", "Scalar Field Ensemble Analysis" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2026/chaves-de-plaza-2026-logcc/", "__class": "Publication" }, { "id": "kaipel_nikolas-2025-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Noisy Change Detection", "date": "2026-01-30", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 312, "image_height": 241, "name": "kaipel_nikolas-2025-baa-image2.png", "type": "image/png", "size": 24842, "path": "Publication:kaipel_nikolas-2025-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/kaipel_nikolas-2025-baa/kaipel_nikolas-2025-baa-image2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/kaipel_nikolas-2025-baa/kaipel_nikolas-2025-baa-image2:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5444 ], "co_supervisor": [ 948 ], "date_end": "2026-01-30", "date_start": "2025-02-13", "matrikelnr": "12140073", "supervisor": [ 193 ], "research_areas": [ "Geometry" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 312, "image_height": 241, "name": "kaipel_nikolas-2025-baa-image2.png", "type": "image/png", "size": 24842, "path": "Publication:kaipel_nikolas-2025-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/kaipel_nikolas-2025-baa/kaipel_nikolas-2025-baa-image2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/kaipel_nikolas-2025-baa/kaipel_nikolas-2025-baa-image2:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kaipel_nikolas-2025-baa-thesis.pdf", "type": "application/pdf", "size": 900294, "path": "Publication:kaipel_nikolas-2025-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/kaipel_nikolas-2025-baa/kaipel_nikolas-2025-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/kaipel_nikolas-2025-baa/kaipel_nikolas-2025-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2026/kaipel_nikolas-2025-baa/", "__class": "Publication" }, { "id": "Kovacs_PhD", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/224033", "title": "3D Style Transfer: Lifting 2D Methods to 3D and Enabling Interactive Guidance", "date": "2026", "abstract": "3D style transfer refers to altering the visual appearance of 3D objects and scenes to match a given (artistic) style, usually provided as an image. 3D style transfer presents significant potential in streamlining the creation of 3D assets such as game environment props, VFX elements, or largescale virtual scenes. However, it faces challenges such as ensuring multi-view consistency, respecting computational and memory constraints, and enabling artist control. In this dissertation, we propose three methods that aim at stylizing 3D assets while addressing these challenges. We focus on optimization-based methods due to the higher quality of results compared to single-pass methods. 0ur contributions advance the state-of-the-art by introducing: (i) novel surface-aware CNN operators for direct mesh texturing, (ii) the first Gaussian Splatting (GS) method capable of transferring both high-frequency details and large scale patterns, and (iii) an interactive method that allows directional and region-based control over the stylization process. Each of these methods outperforms existing baselines in visual fidelity and robustness. Across three complementary projects, we explore different facets of 3D style transfer. In the first project, we propose a method that creates textures directly on the surface of a mesh. By replacing the standard 2D convolution and pooling layers in a pre-trained 2D CNN with surface-based operations, we achieve seamless, multi-view-consistent texture synthesis without relying on proxy 2D images. In the second project, we transfer both high-frequency and large-scale patterns using GS, while addressing representation-specific artifacts such as oversized or elongated Gaussians. Furthermore, we design a style loss capable of transferring style patterns at multiple scales, resulting in visually appealing stylized scenes that preserve both intricate details and large-scale motifs. In the third project, we propose an interactive method that allows users to guide stylization by drawing lines to control pattern direction, and painting regions on both the 3D surface and style image to specify where and how specific style patterns should be applied. Through our extensive qualitative and quantitative evaluations, we show that our methods surpass state-of-the-art techniques. We also demonstrate their robustness across diverse 3D objects, scenes, and styles, highlighting the flexibility of the presented methods. Future work may explore extensions such as geometry modification for style-driven shape changes, more efficient !arge-scale pattern synthesis, temporal coherence in dynamic or video-based scenes, and refined interactive controls informed by direct artist feedback to better integrate creative intent into the stylization pipeline.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "title,abstract,date,keywords,type_id", "repositum_presentation_id": null, "authors": [ 1950 ], "ac_number": "AC17745734", "co_supervisor": [ 5572 ], "date_end": "2024", "date_start": "2021", "doi": "10.34726/hss.2026.137815", "open_access": "yes", "pages": "104", "supervisor": [ 1410 ], "research_areas": [ "MedVis" ], "keywords": [ "Style transfer", "Texture synthesis", "Neural Networks", "Neural rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kovacs_PhD-thesis.pdf", "type": "application/pdf", "size": 4807053, "path": "Publication:Kovacs_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/Kovacs_PhD/Kovacs_PhD-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/Kovacs_PhD/Kovacs_PhD-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2026/Kovacs_PhD/", "__class": "Publication" }, { "id": "komon-2025-dco", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/224640", "title": "Data-Driven Compute Overlays for Interactive Geographic Simulation and Visualization", "date": "2025-12-30", "abstract": "We present interactive data-driven compute overlays for native and web-based 3D geographic map applications based on WebGPU. Our data-driven overlays are generated in a multi-step compute workflow from multiple data sources on the GPU. We demonstrate their potential by showing results from snow cover and avalanche simulations, where simulation parameters can be adjusted interactively and results are visualized instantly. Benchmarks show that our approach can compute large-scale avalanche simulations in milliseconds to seconds, depending on the size of the terrain and the simulation parameters, which is multiple orders of magnitude faster than a state-of-the-art Python implementation.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Rendered 2.5D terrain with avalanche simulation output as overlay, color encodes velocity.", "filetitle": "Teaser image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2527, "image_height": 1270, "name": "komon-2025-dco-Teaser image.png", "type": "image/png", "size": 3968804, "path": "Publication:komon-2025-dco", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-dco/komon-2025-dco-Teaser image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-dco/komon-2025-dco-Teaser image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1859, 1869, 1013, 1110 ], "booktitle": "2025 IEEE Visualization and Visual Analytics (VIS)", "date_from": "2025-11-01", "date_to": "2025-11-07", "doi": "10.1109/VIS60296.2025.00043", "event": "IEEE VIS 2025", "isbn": "979-8-3315-6613-5", "lecturer": [ 1869 ], "location": "Vienna", "pages": "5", "pages_from": "186", "pages_to": "190", "publisher": "IEEE", "research_areas": [], "keywords": [ "3D geographic visualization", "geographic simulation", "WebGPU" ], "weblinks": [ { "href": "https://arxiv.org/abs/2506.23364", "caption": "Paper preprint", "description": null, "main_file": 1 }, { "href": "https://webigeo.alpinemaps.org/", "caption": "Online demo", "description": null, "main_file": 1 }, { "href": "https://youtu.be/pZq0H_l-8Bs?t=1580", "caption": "Talk recording", "description": null, "main_file": 0 }, { "href": "https://github.com/weBIGeo/webigeo", "caption": "GitHub repository", "description": null, "main_file": 0 } ], "files": [ { "description": "Rendered 2.5D terrain with avalanche simulation output as overlay, color encodes velocity.", "filetitle": "Teaser image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2527, "image_height": 1270, "name": "komon-2025-dco-Teaser image.png", "type": "image/png", "size": 3968804, "path": "Publication:komon-2025-dco", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-dco/komon-2025-dco-Teaser image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-dco/komon-2025-dco-Teaser image:thumb{{size}}.png" } ], "projects_workgroups": [ "d9555" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-dco/", "__class": "Publication" }, { "id": "miklautsch_florian-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "First-time Localization of Scans", "date": "2025-12-30", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 414, "image_height": 616, "name": "miklautsch_florian-baa-image.png", "type": "image/png", "size": 406923, "path": "Publication:miklautsch_florian-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/miklautsch_florian-baa/miklautsch_florian-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/miklautsch_florian-baa/miklautsch_florian-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5466 ], "co_supervisor": [ 948 ], "date_end": "2025-12-30", "date_start": "2025-04-07", "matrikelnr": "12023974", "supervisor": [ 193 ], "research_areas": [ "Geometry" ], "keywords": [ "slam", "registration", "mobile" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 414, "image_height": 616, "name": "miklautsch_florian-baa-image.png", "type": "image/png", "size": 406923, "path": "Publication:miklautsch_florian-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/miklautsch_florian-baa/miklautsch_florian-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/miklautsch_florian-baa/miklautsch_florian-baa-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "miklautsch_florian-baa-thesis.pdf", "type": "application/pdf", "size": 862347, "path": "Publication:miklautsch_florian-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/miklautsch_florian-baa/miklautsch_florian-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/miklautsch_florian-baa/miklautsch_florian-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/miklautsch_florian-baa/", "__class": "Publication" }, { "id": "xmas-2025", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": " X-Mas Card 2025", "date": "2025-12-24", "abstract": "The Research Unit of Computer Graphics wishes you a Merry Christmas with this brilliantly illuminated Christmas tree.\nIts temperature field is simulated using GPU-accelerated photon tracing: millions of perfectly traced rays\ncontributing to a radiative transport operator driving a non-linear Newton-Raphson solver. In this season of light, let us\ncelebrate the beauty that emerges when physics meets festive geometry, Monte Carlo convergence brings tidings of joy,\nand your RTX card finally earns its keep doing something other than training yet another diffusion model. Wishing you\nlow RMSE in your experiments, convergence in your solvers, and just enough noise to make the magic feel real.\nMerry Christmas and a radiantly rendered New Year!", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "name": "xmas-2025-image.jpg", "type": "image/jpeg", "size": 669944, "path": "Publication:xmas-2025", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/xmas-2025-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/xmas-2025-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5496, 1128, 1946 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "xmas-2025-card.pdf", "type": "application/pdf", "size": 2292169, "path": "Publication:xmas-2025", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/xmas-2025-card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/xmas-2025-card:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "name": "xmas-2025-image.jpg", "type": "image/jpeg", "size": 669944, "path": "Publication:xmas-2025", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/xmas-2025-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/xmas-2025-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/", "__class": "Publication" }, { "id": "lanzarotti-2025-viseps", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/225225", "title": "VisEPS: a visual explorer of parameter spaces for networked models", "date": "2025-12-23", "abstract": "Simulations of complex social systems, such as those represented by epidemiological models, have been very useful in supporting decision makers during the last pandemic. These models generally comprise a high number of parameters, which makes it hard to identify the values that best reproduce the empirical data. Furthermore, different combinations of parameters may achieve a good fit, which renders an automatic solution ill-suited to the task. A human expert is required to make the final decisions about the optimal parameter values. We present VisEPS (Visual Explorer of Parameter Spaces), a framework for visually analyzing the effects of a very large set of parameters, with the aim of fitting a geographically explicit networked model to data obtained during the COVID-19 pandemic. We use a networked extension of a susceptible-infected-recovered (SIR) model to reproduce the epidemic dynamics in the city of Buenos Aires and its neighboring interconnected districts. We overlay binned scatterplots on a map, which facilitates the visual identification of each district and its connections. To further explore the model’s performance against data, additional views, such as parallel coordinates and histograms, along with drill-down mechanisms, have been incorporated. Finally, a use case is described in which the level of connectivity between districts is included in the analysis. The identification of suitable parameter ranges is facilitated by an iterative and incremental process, whereby new sets of simulations are incrementally requested, guided by interactive visual inspections. This permits the exploration of a parameter space that would otherwise be impossible to fully explore.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": "20.500.12708/225781", "authors": [ 5537, 235, 5538, 166, 5539 ], "date_from": "2025-07-03", "date_to": "2025-07-04", "doi": "10.1007/s12650-025-01093-2", "event": "The 2nd Japan Visualization Symposium (JapanVis 2025)", "issn": "1875-8975", "journal": "Journal of Visualization", "lecturer": [ 235 ], "location": "Tokyo", "pages": "15", "publisher": "SPRINGER", "research_areas": [], "keywords": [ "Interactive visual exploration", "Networked simulation models", "Scalable visual parameter tuning", "Visual model parameter fitting" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/lanzarotti-2025-viseps/", "__class": "Publication" }, { "id": "sakai-2025-stater", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/222799", "title": "Statistical Error Reduction for Monte Carlo Rendering", "date": "2025-12-14", "abstract": "Denoising is an important post-processing step in physically based Monte Carlo (MC) rendering. While neural networks are widely used in practice, statistical analysis has recently become a viable alternative for denoising. In this paper, we present a general framework for statistics-based error reduction of both estimated radiance and variance. Specifically, we introduce a novel denoising approach for variance estimates, which can either improve variance-aware adaptive sampling or provide additional input for image denoising in a cascaded manner. Furthermore, we present multi-transform denoising: a general and efficient correction scheme for non-normal distributions, which typically occur in MC rendering. All these contributions combine to a robust denoising pipeline that does not require any pretraining and can run efficiently on current GPU hardware. Our results show distinct advantages over previous denoising methods, especially in the range of a few hundred samples per pixel, which is of high practical relevance. Finally, we demonstrate good convergence behavior as the number of samples increases, providing predictable results with low bias that are free of hallucinated neural artifacts. In summary, our statistics-based algorithms for adaptive sampling and denoising deliver fast, consistent, low-bias variance and radiance estimates.", "authors_et_al": false, "substitute": null, "main_image": { "description": "“Veach, Bidir Room” scene by Benedikt Bitterli, dedicated to the public domain under CC0 1.0 Universal (https://benedikt-bitterli.me/resources/).", "filetitle": "Representative Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1500, "image_height": 1000, "name": "sakai-2025-stater-Representative Image.png", "type": "image/png", "size": 711915, "path": "Publication:sakai-2025-stater", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-Representative Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-Representative Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1129, 1128, 193, 1946 ], "booktitle": "Proceedings of the SIGGRAPH Asia 2025 Conference Papers", "date_from": "2025-12-15", "date_to": "2025-12-18", "doi": "10.1145/3757377.3763995", "event": "SIGGRAPH Asia 2025 Conference", "isbn": "979-8-4007-2137-3", "lecturer": [ 1129 ], "location": "Hong Kong", "open_access": "yes", "pages": "12", "pages_from": "1", "pages_to": "12", "publisher": "ACM", "research_areas": [ "Rendering" ], "keywords": [ "Monte Carlo rendering", "path tracing", "denoising", "image filtering", "statistics" ], "weblinks": [ { "href": "https://www.cg.tuwien.ac.at/StatER", "caption": "Project Page", "description": null, "main_file": 1 } ], "files": { "0": { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "sakai-2025-stater-paper.pdf", "type": "application/pdf", "size": 10120331, "path": "Publication:sakai-2025-stater", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-paper:thumb{{size}}.png" }, "1": { "description": "“Veach, Bidir Room” scene by Benedikt Bitterli, dedicated to the public domain under CC0 1.0 Universal (https://benedikt-bitterli.me/resources/).", "filetitle": "Representative Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1500, "image_height": 1000, "name": "sakai-2025-stater-Representative Image.png", "type": "image/png", "size": 711915, "path": "Publication:sakai-2025-stater", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-Representative Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-Representative Image:thumb{{size}}.png" }, "3": { "description": null, "filetitle": "Supplementary Document", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sakai-2025-stater-Supplementary Document.pdf", "type": "application/pdf", "size": 29341520, "path": "Publication:sakai-2025-stater", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-Supplementary Document.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-Supplementary Document:thumb{{size}}.png" } }, "projects_workgroups": [ "d9259" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/", "__class": "Publication" }, { "id": "stauss-2025-gfd", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/225556", "title": "Green Facade Digital Twin : GreenFDT", "date": "2025-11-28", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5429, 5548, 1303, 5549, 5550, 5551, 1799 ], "date_from": "2025-11-28", "date_to": "2025-11-28", "event": "GCD Symposium on Geometry and Computational Design 2025 (GCD_25)", "lecturer": [ 5429, 1799 ], "location": "Wien", "research_areas": [], "keywords": [ "Green Facades", "Digital Twin" ], "weblinks": [], "files": [], "projects_workgroups": [ "d10070" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/stauss-2025-gfd/", "__class": "Publication" }, { "id": "gruber-2025-vps", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visualising the Permutation Space", "date": "2025-11-11", "abstract": "Seriations, i.e. arranging multidimensional data in a list that follows a logical sequence, are part of a technique called Exploratory Data Analysis. They reduce dimensions\nand give experts a way to assess images and other complex data, enabling them to compare their content and find similarities and differences. But only a few are used at a\nregular basis, e.g. the historgram seriation. The tool described here tries to add a more wholesome approach by showing all possible seriations in the permutation space. The\nspace grows factorially with the input size, i.e. the number of pixels, and by far not all are meaningful. The goal is to look for patterns in the space, as patterns may indicate\nfurther interesting seriations beside the historgram ones. The question is whether one is able to see such patterns when ordering the permutations and/or comparing two ordered\nspaces. Based on mathematical findings and algorithmic constraints, it will be shown that some patterns can be found even in a simplified setting using images with a size of\n3-by-2.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5517 ], "date_end": "2025-11-11", "date_start": "2025-04-19", "matrikelnr": "00121092", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "gruber-2025-vps-Bachelor thesis.pdf", "type": "application/pdf", "size": 1805314, "path": "Publication:gruber-2025-vps", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/gruber-2025-vps/gruber-2025-vps-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/gruber-2025-vps/gruber-2025-vps-Bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 312, "image_height": 356, "name": "gruber-2025-vps-image.png", "type": "image/png", "size": 29267, "path": "Publication:gruber-2025-vps", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/gruber-2025-vps/gruber-2025-vps-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/gruber-2025-vps/gruber-2025-vps-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/gruber-2025-vps/", "__class": "Publication" }, { "id": "wolter-2025-mdv", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/225940", "title": "Multi-Agent Data Visualization and Narrative Generation", "date": "2025-11-03", "abstract": "Recent advancements in the field of AI agents have impacted the way we work, enabling greater automation and collaboration between humans and agents. In the data visualization field, multiagent systems can be useful for employing agents throughout the entire data-to-communication pipeline. We present a lightweight multi-agent system that automates the data analysis workflow, from data exploration to generating coherent visual narratives for insight communication. Our approach combines a hybrid multi-agent architecture with deterministic components, strategically externalizing critical logic from LLMs to improve transparency and reliability. The system delivers granular, modular outputs that enable surgical modifications without full regeneration, supporting sustainable human-AI collaboration. We evaluated our system across 4 diverse datasets, demonstrating strong generalizability, narrative quality, and computational efficiency with minimal dependencies.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5534, 5552, 5553, 5554, 1892 ], "date_from": "2025-11-03", "date_to": "2025-11-03", "event": "1st Workshop on Logo GenAI, Agents, and the Future of VIS (IEEE VIS 2025)", "lecturer": [ 5534 ], "location": "Vienna", "research_areas": [], "keywords": [ "Multiagentensystem" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/wolter-2025-mdv/", "__class": "Publication" }, { "id": "weydemann-2025-noo", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/221804", "title": "Non-uniform offsetting of surfaces", "date": "2025-11", "abstract": "Offset surfaces are fundamental in computer graphics applications, such as computer-aided design or tool-path generation. However, generating them while preserving geometric details and handling self-intersections remains challenging, particularly for surfaces with sharp features. This thesis presents a robust method for non-uniform offset surface generation, extending volumetric, feature-preserving uniform offset approaches to allow per-vertex control over offset distances. This enables greater flexibility in handling complex geometries and user-defined specifications.To achieve a smooth distribution of offsets across the input mesh, the method introduces a Radial Basis Function interpolation combined with Dijkstra-based distance propagation. The method supports the extraction of both inner and outer offset components through an octree data structure and a modified Dual Contouring algorithm adapted for non-uniform distances, ensuring accurate and manifold surface generation. This approach's adaptability and robustness are demonstrated across diverse input models with varying offset assignments. They showcase successful extraction of inner and outer components and the ability to capture localized asymmetries while preserving geometric integrity.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1211, "image_height": 494, "name": "weydemann-2025-noo-teaser.png", "type": "image/png", "size": 321957, "path": "Publication:weydemann-2025-noo", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/weydemann-2025-noo/weydemann-2025-noo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/weydemann-2025-noo/weydemann-2025-noo-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date,projects", "repositum_presentation_id": null, "authors": [ 5531 ], "ac_number": "AC17720179", "date_end": "2025-11-24", "date_start": "2016-08-11", "diploma_examina": "2025-11-24", "doi": "10.34726/hss.2025.40588", "matrikelnr": "00925369", "open_access": "yes", "pages": "92", "supervisor": [ 193 ], "research_areas": [ "Geometry" ], "keywords": [ "Offset Surfaces", "Non-Uniform Offset", "Volumetric Method", "Octree", "Dual Contouring", "Radial Basis Function", "Per-Vertex Control", "k-d Tree", "Signed Distance Field", "Computer Graphics" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1211, "image_height": 494, "name": "weydemann-2025-noo-teaser.png", "type": "image/png", "size": 321957, "path": "Publication:weydemann-2025-noo", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/weydemann-2025-noo/weydemann-2025-noo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/weydemann-2025-noo/weydemann-2025-noo-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "weydemann-2025-noo-thesis.pdf", "type": "application/pdf", "size": 1778290, "path": "Publication:weydemann-2025-noo", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/weydemann-2025-noo/weydemann-2025-noo-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/weydemann-2025-noo/weydemann-2025-noo-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/weydemann-2025-noo/", "__class": "Publication" }, { "id": "north-2025-aog", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/221703", "title": "Analysis of the GPU Acceleration Potential of the FFT-Based Pressure Solver in the PALM-4U Model System", "date": "2025-11", "abstract": "Due to climate change, the frequency and severity of extreme weather events is increasing, which endangers human livelihoods and key infrastructures. Decision support tools can guide the development of climate-resilient cities by providing information on the potential effectiveness of specific measures during the planning process. In urban environments,decision support tools that incorporate accurate micro-climate models are particularly effective. PALM-4U, a state-of-the-art, scientifically validated microclimate model, could offer this functionality, however it remains largely inaccessible outside the scientific community as it is optimised to run on HPC clusters. However, with the rise of high-performance GPUs, a shift towards single workstations is possible.This study investigates the potential for performance increase of the PALM-4U’s pressuresolver, by utilising the GPU’s acceleration potential in combination with a change intarget architecture. Performance increase is measured using three parameters: speed up,validity (via NMSE, R, and FB), and memory efficiency. Also the effect on the runtime of the full simulation is measured and possible bottlenecks identified. Finally, the fullmodel is analysed to assess the overall feasibility of GPU optimisation, providing insights to guide future development.The pressure solver transforms the 3D Poisson equation using Fast Fourier Transform and solves the resulting 1D system via the Thomas algorithm. The code structure is optimised, CUDA-optimised kernels are implemented and the cuFFT library is integrated.In addition a mixed-precision approach is tested to evaluate its impact on performance and accuracy.The single core GPU implementation achieves a speed up of up to 65.5 times in single precision and up to 49.3 times for double precision for large domain sizes. The stability of the system remains unaffected by the mixed-precision approach, and no significant variation is observed between FP32 and FP64 runs. After 45 × 103 simulation steps, NMSE (0.02), FB (-0.017) and R (0.96), demonstrate a stable and accurate performance consistent across precisions. Additionally, the memory requirement is reduced up to 68% compared to the baseline CPU solver. The optimisations leads to a runtime reduction ofthe full model by 15%, demonstrating the potential for accessible, scientifically validated microclimate models.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "date,projects", "repositum_presentation_id": null, "authors": [ 5514 ], "ac_number": "AC17718798", "date_end": "2025-11", "date_start": "2025-04", "diploma_examina": "2025-11-24", "doi": "10.34726/hss.2025.133062", "matrikelnr": "51803598", "open_access": "yes", "pages": "86", "supervisor": [ 193 ], "research_areas": [], "keywords": [ "GPU Acceleration", "Computational Fluid Dynamics", "CUDA", "Urban Microclimate Modeling", "Poisson Equation Solver", "Fast Fourier Transform", "Mixed-Precision Methods", "Climate-Resilient Urban Planning" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "north-2025-aog-thesis.pdf", "type": "application/pdf", "size": 2124368, "path": "Publication:north-2025-aog", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/north-2025-aog/north-2025-aog-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/north-2025-aog/north-2025-aog-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/north-2025-aog/", "__class": "Publication" }, { "id": "dhanoa-2025-ave", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/225028", "title": "Agentic Visualization: Extracting Agent-Based Design Patterns From Visualization Systems", "date": "2025-11", "abstract": "Autonomous agents powered by large language models are transforming artificial intelligence (AI), creating an imperative for the visualization area. However, our field's focus on a human in the sensemaking loop raises critical questions about autonomy, delegation, and coordination for such agentic visualization that preserve human agency while amplifying analytical capabilities. This article addresses these questions by reinterpreting existing visualization systems with semiautomated or fully automatic AI components through an agentic lens. Based on this analysis, we extract a collection of design patterns for agentic visualization, including agentic roles, communication, and coordination. These patterns provide a foundation for future agentic visualization systems that effectively harness AI agents while maintaining human insight and control.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "abstract,projects", "repositum_presentation_id": null, "authors": [ 1892, 5534, 5535, 5536, 5434 ], "doi": "10.1109/MCG.2025.3607741", "issn": "1558-1756", "journal": "IEEE Computer Graphics and Applications", "number": "6", "pages": "12", "pages_from": "89", "pages_to": "100", "publisher": "IEEE COMPUTER SOC", "volume": "45", "research_areas": [], "keywords": [ "agents", "visualization", "design patterns" ], "weblinks": [], "files": [], "projects_workgroups": [ "d10027" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/dhanoa-2025-ave/", "__class": "Publication" }, { "id": "oda-2025-artevoviewer", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/225534", "title": "ArtEvoViewer: A System for Visualizing Interpersonal Influence Among Painters", "date": "2025-10-31", "abstract": "Large-scale and objective painting analyses have recently gained attention. In particular, analyzing influence between individual painters requires substantial effort and is hard to reproduce due to subjectivity. Despite increasing demand for automatic estimation, this remains unresolved because such influence is complex and often directional, making it difficult to model. In this paper, we develop an interactive system that visualizes, manipulates, and analyses chains of painterly influence as a network. Using 32,401 paintings, the system infers directional links from color and brushstroke features. The resulting network based on color style features captures stylistic lineages such as landscape-focused and portrait-focused streams, while a multifaceted analysis of Picasso shows that Cézanne's impact appears in brushwork rather than color. Our contributions are twofold: (1) the use of an evolutionary model to assign explicit direction to painter influence and support art historical interpretation, and (2) providing a visualization system that allows dynamic comparison of influence networks based on multiple image features.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5544, 5545, 1813, 1850, 166, 1410, 1754 ], "booktitle": "2025 29th International Conference Information Visualisation (IV)", "date_from": "2025-08-05", "date_to": "2025-08-08", "doi": "10.1109/IV68685.2025.00041", "event": "29th International Conference Information Visualisation (IV)", "isbn": "979-8-3315-7741-4", "lecturer": [ 5544 ], "location": "Darmstadt", "pages": "6", "pages_from": "171", "pages_to": "176", "publisher": "IEEE", "research_areas": [], "keywords": [ "artist influence estimation", "cultural evolution", "digital humanities", "paintings", "system", "visualization" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/oda-2025-artevoviewer/", "__class": "Publication" }, { "id": "kazda-tmd", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Design and Implementation of an AI-Based Edge Device for Automated Traffic Counting", "date": "2025-10-27", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 239, "image_height": 137, "name": "kazda-tmd-image.png", "type": "image/png", "size": 53206, "path": "Publication:kazda-tmd", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kazda-tmd/kazda-tmd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kazda-tmd/kazda-tmd-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5474 ], "co_supervisor": [ 948 ], "date_end": "2025-10-27", "date_start": "2025-02-28", "matrikelnr": "11909468", "supervisor": [ 193 ], "research_areas": [ "Geometry" ], "keywords": [ "traffic supervision", "object detection", "vehicle classification" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 239, "image_height": 137, "name": "kazda-tmd-image.png", "type": "image/png", "size": 53206, "path": "Publication:kazda-tmd", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kazda-tmd/kazda-tmd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kazda-tmd/kazda-tmd-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kazda-tmd-thesis.pdf", "type": "application/pdf", "size": 1131160, "path": "Publication:kazda-tmd", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kazda-tmd/kazda-tmd-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kazda-tmd/kazda-tmd-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kazda-tmd/", "__class": "Publication" }, { "id": "tekaya-2025-amo", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/221607", "title": "A Matter of Time: Revealing the Structure of Time in Vision-Language Models", "date": "2025-10-27", "abstract": "Large-scale vision-language models (VLMs) such as CLIP have gained popularity for their generalizable and expressive multimodal representations. By leveraging large-scale training data with diverse textual metadata, VLMs acquire open-vocabulary capabilities, solving tasks beyond their training scope. This paper investigates the temporal awareness of VLMs, assessing their ability to position visual content in time. We introduce TIME10k, a benchmark dataset of over 10,000 images with temporal ground truth, and evaluate the time-awareness of 37 VLMs by a novel methodology. Our investigation reveals that temporal information is structured along a low-dimensional, non-linear manifold in the VLM embedding space. Based on this insight, we propose methods to derive an explicit ''timeline'' representation from the embedding space. These representations model time and its chronological progression and thereby facilitate temporal reasoning tasks. Our timeline approaches achieve competitive to superior accuracy compared to a prompt-based baseline while being computationally efficient. All code and data are available at https://tekayanidham.github.io/timeline-page/.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1536, "image_height": 458, "name": "tekaya-2025-amo-teaser.png", "type": "image/png", "size": 4646052, "path": "Publication:tekaya-2025-amo", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/tekaya-2025-amo/tekaya-2025-amo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/tekaya-2025-amo/tekaya-2025-amo-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date,keywords,projects", "repositum_presentation_id": null, "authors": [ 5330, 1110, 5370 ], "booktitle": "MM '25: Proceedings of the 33rd ACM International Conference on Multimedia", "date_from": "2025-10-27", "date_to": "2025-10-31", "doi": "10.1145/3746027.3758163", "event": "ACM International Conference on Multimedia 2025", "isbn": "979-8-4007-2035-2", "lecturer": [ 5330 ], "location": "Dublin", "open_access": "yes", "pages": "10", "pages_from": "12371", "pages_to": "12380", "research_areas": [ "InfoVis" ], "keywords": [ "Multimodal representations", "Vision-language models", "Time modeling", "Time estimation", "Benchmark dataset" ], "weblinks": [ { "href": "https://tekayanidham.github.io/timeline-page/", "caption": null, "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1536, "image_height": 458, "name": "tekaya-2025-amo-teaser.png", "type": "image/png", "size": 4646052, "path": "Publication:tekaya-2025-amo", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/tekaya-2025-amo/tekaya-2025-amo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/tekaya-2025-amo/tekaya-2025-amo-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "d9522", "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/tekaya-2025-amo/", "__class": "Publication" }, { "id": "hofmann_julia-2025", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visualization of Points of Interest in 3D Digital Maps", "date": "2025-10-21", "abstract": "Landmarks are central to spatial orientation, yet the design of landmarks in rural environments has not been investigated so far. This thesis investigates how landmark visualization modes should be designed to support spatial exploration and landmark comprehension on rural 3D maps. A modular, web-based prototype integrates Points of Interest (PoIs) from OpenStreetMap in an asynchronous preprocessing pipeline that cleans, categorizes, and partitions data for client-side use. A quadtree-based data management approach provides dynamic level-of-detail (LoD) to regulate density and maintain legibility across scales. Within this framework, interchangeable visualization modes (text labels, abstract symbols, pictorial icons, 3D models, and heatmaps) are implemented on a 3D terrain map of Austria, complemented by category-based filtering and details-on-demand interactions.\nThe thesis combines system design with a literature-grounded analysis to articulate the trade-offs among these modes. The resulting guidance emphasizes scale-dependent staging of encodings, control of density before the introduction of detail, and a task-and scale-sensitive balance between abstraction and realism, with semantics exposed\nthrough lightweight interaction rather than persistent annotation. The contributions are twofold: a functional technical framework that operationalizes landmark visualization for rural 3D terrain, and a structured synthesis that clarifies when and why particular visualization methods are advantageous. Evaluation proceeds theoretically rather than through user studies, and the thesis outlines implications and hypotheses for future empirical validation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 792, "image_height": 585, "name": "hofmann_julia-2025-teaser.png", "type": "image/png", "size": 892799, "path": "Publication:hofmann_julia-2025", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/hofmann_julia-2025/hofmann_julia-2025-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/hofmann_julia-2025/hofmann_julia-2025-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5499 ], "date_end": "2025-10-04", "date_start": "2024-10-23", "matrikelnr": "11827004", "supervisor": [ 1110, 1937 ], "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://github.com/JulesC99/landmark-visualization", "caption": "GitHub", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 792, "image_height": 585, "name": "hofmann_julia-2025-teaser.png", "type": "image/png", "size": 892799, "path": "Publication:hofmann_julia-2025", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/hofmann_julia-2025/hofmann_julia-2025-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/hofmann_julia-2025/hofmann_julia-2025-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "hofmann_julia-2025-thesis.pdf", "type": "application/pdf", "size": 113508424, "path": "Publication:hofmann_julia-2025", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/hofmann_julia-2025/hofmann_julia-2025-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/hofmann_julia-2025/hofmann_julia-2025-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "abteilung" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/hofmann_julia-2025/", "__class": "Publication" }, { "id": "harisch-mvs", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Measuring vehicle speed with video", "date": "2025-10-14", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 458, "image_height": 255, "name": "harisch-mvs-image.png", "type": "image/png", "size": 186667, "path": "Publication:harisch-mvs", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/harisch-mvs/harisch-mvs-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/harisch-mvs/harisch-mvs-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5472 ], "co_supervisor": [ 948 ], "date_end": "2025-10-14", "date_start": "2025-03-14", "matrikelnr": "11705361", "supervisor": [ 193 ], "research_areas": [ "Geometry" ], "keywords": [ "speed measurement", "traffic supervision", "vehicle detection" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 458, "image_height": 255, "name": "harisch-mvs-image.png", "type": "image/png", "size": 186667, "path": "Publication:harisch-mvs", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/harisch-mvs/harisch-mvs-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/harisch-mvs/harisch-mvs-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "harisch-mvs-thesis.pdf", "type": "application/pdf", "size": 801019, "path": "Publication:harisch-mvs", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/harisch-mvs/harisch-mvs-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/harisch-mvs/harisch-mvs-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/harisch-mvs/", "__class": "Publication" }, { "id": "ott-rgi", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Real-Time Global Illumination for Voxel Worlds", "date": "2025-10-13", "abstract": "Achieving realistic real-time rendering of 3D worlds using path tracing remains a significant challenge due to the high sample count required for noise-free images. With voxel-worlds there are some opportunities for optimizations from its unique geometric structure. Typically, real-time applications are constrained to only a few samples per pixel, requiring additional processing to result in a noise-free image. Traditional solutions attempt to address this issue through spatial and temporal reuse of samples or other image data, but implementations frequently introduce undesirable artifacts such as blurring, ghosting, or flickering. In voxel worlds this is especially undesireable because of its sharp geometric features.\nIn this work, we explore a specialized rendering pipeline for voxel-based worlds. We adapt existing techniques to voxel geometry and use a different approach for temporal reuse in order to minimize image artifacts. We begin by generating a low-sample image using path tracing, which is then refined using temporal and spatial resampling. A simple denoiser optimized for preserving details is then applied to remove most of the noise. As a last step, our specialized approach to Temporal Anti-Aliasing (TAA) is applied, which is a central contribution of our pipeline as it removes almost all common artifacts.\nTo evaluate our approach, we conduct a series of qualitative and quantitative experiments. Visual comparisons against standard techniques show an improvement in image clarity. Performance benchmarks demonstrate that our pipeline operates within real-time constraints on modern GPUs, validating its practical applicability for interactive voxel-based applications such as video games.\nBy combining sample refinement adapted to voxel words with lightweight denoising and a data-driven TAA strategy, our method achieves realistic real-time rendering of voxel environments using path tracing with minimal artifacts.", "authors_et_al": false, "substitute": null, "main_image": { "description": "rendering of a voxel world", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2398, "image_height": 1219, "name": "ott-rgi-image.png", "type": "image/png", "size": 4981831, "path": "Publication:ott-rgi", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ott-rgi/ott-rgi-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ott-rgi/ott-rgi-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5405 ], "co_supervisor": [ 1954 ], "date_end": "2025-10-13", "date_start": "2024-11-18", "matrikelnr": "12121278", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "Real-Time Rendering", "Voxels", "Global Illumination", "Ray Tracing" ], "weblinks": [], "files": [ { "description": "rendering of a voxel world", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2398, "image_height": 1219, "name": "ott-rgi-image.png", "type": "image/png", "size": 4981831, "path": "Publication:ott-rgi", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ott-rgi/ott-rgi-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ott-rgi/ott-rgi-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ott-rgi/", "__class": "Publication" }, { "id": "macho_jonas-2024-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Ray traversal with omnidirectional distance fields in voxel worlds", "date": "2025-10-10", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1137, "image_height": 667, "name": "macho_jonas-2024-baa-image.jpg", "type": "image/jpeg", "size": 201809, "path": "Publication:macho_jonas-2024-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/macho_jonas-2024-baa/macho_jonas-2024-baa-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/macho_jonas-2024-baa/macho_jonas-2024-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5441 ], "co_supervisor": [ 948 ], "date_end": "2025-10-10", "date_start": "2024-06-28", "matrikelnr": "12122403", "supervisor": [ 193, 948 ], "research_areas": [ "Geometry", "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1137, "image_height": 667, "name": "macho_jonas-2024-baa-image.jpg", "type": "image/jpeg", "size": 201809, "path": "Publication:macho_jonas-2024-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/macho_jonas-2024-baa/macho_jonas-2024-baa-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/macho_jonas-2024-baa/macho_jonas-2024-baa-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "macho_jonas-2024-baa-thesis.pdf", "type": "application/pdf", "size": 1938594, "path": "Publication:macho_jonas-2024-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/macho_jonas-2024-baa/macho_jonas-2024-baa-thesis.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/macho_jonas-2024-baa/", "__class": "Publication" }, { "id": "schrammel_sebastian_baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Meshing Sparse SDFs", "date": "2025-10-06", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 503, "image_height": 405, "name": "schrammel_sebastian_baa-image.png", "type": "image/png", "size": 134613, "path": "Publication:schrammel_sebastian_baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schrammel_sebastian_baa/schrammel_sebastian_baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/schrammel_sebastian_baa/schrammel_sebastian_baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5385 ], "co_supervisor": [ 948 ], "date_end": "2025-10-06", "date_start": "2024-10-14", "matrikelnr": "1526197", "supervisor": [ 193 ], "research_areas": [ "Geometry" ], "keywords": [ "signed distance functions", "meshing", "sparse data structures" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 503, "image_height": 405, "name": "schrammel_sebastian_baa-image.png", "type": "image/png", "size": 134613, "path": "Publication:schrammel_sebastian_baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schrammel_sebastian_baa/schrammel_sebastian_baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/schrammel_sebastian_baa/schrammel_sebastian_baa-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "schrammel_sebastian_baa-thesis.pdf", "type": "application/pdf", "size": 1326879, "path": "Publication:schrammel_sebastian_baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schrammel_sebastian_baa/schrammel_sebastian_baa-thesis.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schrammel_sebastian_baa/", "__class": "Publication" }, { "id": "komon-2025-webigeo", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/221523", "title": "weBIGeo: Interaktive Lawinensimulation im Web", "date": "2025-10", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2556, "image_height": 1303, "name": "komon-2025-webigeo-teaser.png", "type": "image/png", "size": 5204641, "path": "Publication:komon-2025-webigeo", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-webigeo/komon-2025-webigeo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-webigeo/komon-2025-webigeo-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date,projects", "repositum_presentation_id": null, "authors": [ 1859, 1869, 5510, 5511, 5512, 5513, 1013, 1110 ], "ac_number": "AC17717665", "booktitle": "Tagungsband des 6. internationalen Lawinensymposiums", "date_from": "2025-10-18", "date_to": "2025-10-18", "doi": "10.34726/11439", "event": "6. Lawinen Symposium Graz 2025", "lecturer": [ 1859, 1110 ], "location": "Graz", "open_access": "yes", "pages": "4", "pages_from": "150", "pages_to": "153", "research_areas": [ "InfoVis", "Modeling" ], "keywords": [ "Visualisierung", "Lawinen", "3D Karten" ], "weblinks": [ { "href": "https://webigeo.alpinemaps.org/", "caption": "demo", "description": "weBIGeo demo: requires WebGPU-ready browser! ", "main_file": 1 }, { "href": "https://lawinensymposium.naturfreunde.at/", "caption": "Lawinensymposium", "description": "Lawinensymposium", "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "komon-2025-webigeo-paper.pdf", "type": "application/pdf", "size": 1611394, "path": "Publication:komon-2025-webigeo", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-webigeo/komon-2025-webigeo-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-webigeo/komon-2025-webigeo-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2556, "image_height": 1303, "name": "komon-2025-webigeo-teaser.png", "type": "image/png", "size": 5204641, "path": "Publication:komon-2025-webigeo", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-webigeo/komon-2025-webigeo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-webigeo/komon-2025-webigeo-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "d9555", "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-webigeo/", "__class": "Publication" }, { "id": "casares-magaz-2025-rog", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/221525", "title": "Risk of genitourinary late effects after radiotherapy for prostate cancer associated with early changes in bladder shape", "date": "2025-10", "abstract": "Background and purpose: The risk of genitourinary late effects is a major dose-limiting factor in radiotherapy for prostate cancer. By using shape analysis and machine learning, the aim of this study was to evaluate whether bladder shape descriptors from the first week of treatment could identify patients experiencing genitourinary late effects.\r\nMaterial and methods: From a cohort of 258 prostate cancer patients treated with daily cone-beam computed tomography (CBCT)-guided radiotherapy (prescription doses of 77.4–81.0 Gy), 7 pre-treatment asymptomatic cases experiencing RTOG genitourinary late effects ≥Grade 2 and 21 matched controls were selected. The bladder was manually contoured on each CBCT, and a 17-D vector comprising shape descriptors was used for patient clustering, focusing on bladder contours from the first week of treatment. ANOVA was used to test statistical significance of descriptors across and within clusters.\r\nResults: Of the contours from the first week of treatment, 84 % could be classified in two main clusters with distinct bladder shape characteristics. This cluster stratification remained identical when bladder contours from the entire course of treatment were used. Convexity, elliptic variance and compactness were significantly different between patients with vs. without genitourinary late effects ≥Grade 2 (p < 0.05). Dice Coefficients between predictive models using descriptors of the first week and the voxels’ probability of belonging to the bladder were above 93 ± 6 % (median ± interquartile range).\r\nConclusion: Bladder shape descriptors in the first week of treatment showed potential to predict the risk of developing genitourinary late effects after radiotherapy for prostate cancer.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1444, 1410, 5406, 5505, 1568, 5506, 5507, 5508, 5509 ], "articleno": "100855", "doi": "10.1016/j.phro.2025.100855", "issn": "2405-6316", "journal": "Physics and Imaging in Radiation Oncology", "open_access": "yes", "pages": "5", "publisher": "Elsevier Inc.", "volume": "36", "research_areas": [], "keywords": [ "Adaptive radiotherapy", "Machine learning", "Prostate cancer radiotherapy", "Radiation-induced late effects" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "casares-magaz-2025-rog-paper.pdf", "type": "application/pdf", "size": 3013928, "path": "Publication:casares-magaz-2025-rog", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/casares-magaz-2025-rog/casares-magaz-2025-rog-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/casares-magaz-2025-rog/casares-magaz-2025-rog-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/casares-magaz-2025-rog/", "__class": "Publication" }, { "id": "ehlers-2025-www", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/217489", "title": "Wiggle! Wiggle! Wiggle! Visualizing uncertainty in node attributes in straight-line node-link diagrams using animated wiggliness", "date": "2025-10", "abstract": "Uncertainty is common to most types of data, from meteorology to the biomedical sciences. Here, we are interested in the visualization of uncertainty within the context of multivariate graphs, specifically the visualization of uncertainty attached to node attributes. Many visual channels offer themselves up for the visualization of node attributes and their uncertainty. One controversial and relatively under-explored channel, however, is animation, despite its conceptual advantages. In this paper, we investigate node “wiggliness”, i.e. uncertainty-dependent pseudo-random motion of nodes, as a potential new visual channel with which to communicate node attribute uncertainty. To study wiggliness’ effectiveness, we compare it against three other visual channels identified from a thorough review of uncertainty visualization literature—namely node enclosure, node fuzziness, and node color saturation. In a larger-scale, mixed method, Prolific-crowd-sourced, online user study of 160 participants, we quantitatively and qualitatively compare these four uncertainty encodings across eight low-level graph analysis tasks that probe participants’ abilities to parse the presented networks both on an attribute and topological level. We ultimately conclude that all four uncertainty encodings appear comparably useful—as opposed to previous findings. Wiggliness may be a suitable and effective visual channel with which to communicate node attribute uncertainty, at least for the kinds of data and tasks considered in our study.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1850, 1813, 5488, 5417, 1464, 1410 ], "articleno": "104290", "doi": "10.1016/j.cag.2025.104290", "issn": "1873-7684", "journal": "COMPUTERS & GRAPHICS-UK", "publisher": "PERGAMON-ELSEVIER SCIENCE LTD", "volume": "131", "research_areas": [], "keywords": [ "Network Visualization", "Uncertainty Visualization", "Animation", "Fuzziness", "Enclosure", "Saturation" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ehlers-2025-www/", "__class": "Publication" }, { "id": "trenovatz-lpd", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "License Plate detection with video", "date": "2025-09-30", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 499, "image_height": 446, "name": "trenovatz-lpd-image.png", "type": "image/png", "size": 157000, "path": "Publication:trenovatz-lpd", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/trenovatz-lpd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/trenovatz-lpd-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5473 ], "co_supervisor": [ 948 ], "date_end": "2025-09-30", "date_start": "2025-02-28", "matrikelnr": "11924505", "supervisor": [ 193, 948 ], "research_areas": [ "Geometry" ], "keywords": [ "license plate recognition", "traffic supervision", "traffic counting" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 499, "image_height": 446, "name": "trenovatz-lpd-image.png", "type": "image/png", "size": 157000, "path": "Publication:trenovatz-lpd", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/trenovatz-lpd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/trenovatz-lpd-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "trenovatz-lpd-thesis.pdf", "type": "application/pdf", "size": 983093, "path": "Publication:trenovatz-lpd", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/trenovatz-lpd-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/trenovatz-lpd-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/", "__class": "Publication" }, { "id": "tretyak-2025-tacmedvr", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/225648", "title": "TacMedVR: Immersive VR Training for Tactical Medicine—Evaluating Interaction and Stress Response", "date": "2025-09-25", "abstract": "This paper presents the development and evaluation of a virtual reality (VR) training simulation for tactical emergency medicine, created in Unity and optimized for the Meta Quest 3 headset. The simulation places users in a high-stress scenario inspired by real knife attacks and incorporates natural hand tracking for interaction. Core training elements include triage, bleeding control, and communication with victims and bystanders. A qualitative study with ten participants, all with prior first aid or tactical medical training, explored three key research questions: (1) To what extent does the realistic recreation of real-world events affect trainees' perceived psychological stress and sense of immersion in virtual reality simulations? (2) How do hand tracking and traditional controllers compare in terms of usability? (3) How is VR perceived as a complementary or alternative method to conventional training? Thematic analysis revealed that visual and auditory realism enhanced immersion but did not consistently increase perceived stress. Hand tracking was considered intuitive but occasionally unreliable. Participants generally viewed VR as a valuable complement to traditional training, particularly for practicing workflows and rapid decision-making under pressure. The results underscore VR's potential as a scalable, engaging, and safe tool for preparing responders for high-threat environments.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 5476, 166 ], "booktitle": "2025 11th International Conference on Virtual Reality (ICVR)", "date_from": "2025-07-09", "date_to": "2025-07-11", "doi": "10.1109/ICVR66534.2025.11172647", "event": "11th International Conference on Virtual Reality (ICVR 2025)", "isbn": "979-8-3503-9273-9", "lecturer": [ 5476 ], "location": "Wageningen", "pages": "6", "pages_from": "345", "pages_to": "350", "publisher": "IEEE", "research_areas": [], "keywords": [ "Hand Tracking", "Interaction Design", "Medical Simulation", "Simulation-Based Training", "Virtual Reality in Education" ], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/tretyak-2025-tacmedvr/", "__class": "Publication" }, { "id": "kummer-2025-fvo", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/219860", "title": "Flattening-based visualization of supine breast MRI", "date": "2025-09-22", "abstract": "We propose two novel visualization methods optimized for supine breast images that “flatten” breast tissue, facilitating examination of larger tissue areas within each coronal slice. Breast cancer is the most frequently diagnosed cancer in women, and early lesion detection is crucial for reducing mortality. Supine breast magnetic resonance imaging (MRI) enables better lesion localization for image-guided interventions; however, traditional axial visualization is suboptimal because the tissue spreads over the chest wall, resulting in numerous fragmented slices that radiologists must scroll through during standard interpretation. Using a human-centered design approach, we incorporated user and expert feedback throughout the co-design and evaluation stages of our flattening methods. Our first proposed method, a surface-cutting approach, generates offset surfaces and flattens them independently using As-Rigid-As-Possible (ARAP) surface mesh parameterization. The second method uses a landmark-based warp to flatten the entire breast volume at once. Expert evaluations revealed that the surface-cutting method provides intuitive overviews and clear vascular detail, with low metric (2–2.5%) and area (3.7–4.4%) distortions. However, independent slice flattening can introduce depth distortions across layers. The landmark warp offers consistent slice alignment and supports direct annotations and measurements, with radiologists favoring it for its anatomical accuracy. Both methods significantly reduced the number of slices needed to review, highlighting their potential for time savings and clinical impact — an essential factor for adopting supine MRI.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5500, 5501, 5502, 1410, 231 ], "ac_number": "AC17670018", "articleno": "104395", "doi": "10.1016/j.cag.2025.104395", "issn": "1873-7684", "journal": "COMPUTERS & GRAPHICS-UK", "open_access": "yes", "pages": "9", "publisher": "PERGAMON-ELSEVIER SCIENCE LTD", "volume": "133", "research_areas": [], "keywords": [ "Image reformation", "Medical visualization", "Breast imaging", "Radiology" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kummer-2025-fvo-paper.pdf", "type": "application/pdf", "size": 3063948, "path": "Publication:kummer-2025-fvo", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kummer-2025-fvo/kummer-2025-fvo-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kummer-2025-fvo/kummer-2025-fvo-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kummer-2025-fvo/", "__class": "Publication" }, { "id": "huber-2025-eed", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/220017", "title": "Enhancing Environmental Data Communication Through VR", "date": "2025-09-12", "abstract": "This paper examines how environmental data can be effectively communicated to non-experts in interactive, immersive 3D spaces. Utilizing a use case centered on global spatio-temporal CO2 emissions and population dynamics over the past six decades, we explore techniques for presenting both absolute (country-level) and per capita data within meaningful spatial and temporal contexts. We developed a VR prototype visualizing these data on an interactive 3D globe and conducted a qualitative user study to evaluate its clarity and interpretability for non-expert audiences. Our findings suggest that incorporating clear geographical context, intuitive representations, and user-centered interactions can enhance engagement and certain aspects of understanding. We thereby offer a practical contribution to tackling environmental data visualization and communication in immersive environments. This promotes transparency and mitigates the risk of misinterpretation or misinformation in data communication across emerging digital media platforms.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3835, "image_height": 1551, "name": "huber-2025-eed-teaser.PNG", "type": "image/png", "size": 4027742, "path": "Publication:huber-2025-eed", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/huber-2025-eed-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/huber-2025-eed-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date,pages_from,pages_to", "repositum_presentation_id": null, "authors": [ 5456, 1653, 1030, 5485 ], "ac_number": "AC17672916", "booktitle": "Computer Graphics & Visual Computing (CGVC) 2025 : Eurographics UK Chapter Proceedings : Liverpool John Moores University, UK : 11 - 12 September 2025", "date_from": "2025-09-11", "date_to": "2025-09-12", "doi": "10.2312/cgvc.20251220", "event": "Computer Graphics & Visual Computing 2025 (CGVC 2025)", "isbn": "978-3-03868-293-6", "lecturer": [ 5456 ], "location": "Liverpool John Moores University", "open_access": "yes", "pages": "5", "pages_from": "1", "pages_to": "5", "publisher": "The Eurographics Association", "research_areas": [ "InfoVis", "VR" ], "keywords": [ "Human-centered computing", "User studies", "Virtual reality", "Information visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "huber-2025-eed-paper.pdf", "type": "application/pdf", "size": 4585623, "path": "Publication:huber-2025-eed", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/huber-2025-eed-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/huber-2025-eed-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3835, "image_height": 1551, "name": "huber-2025-eed-teaser.PNG", "type": "image/png", "size": 4027742, "path": "Publication:huber-2025-eed", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/huber-2025-eed-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/huber-2025-eed-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "d10164" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/", "__class": "Publication" }, { "id": "mueller-2024-rbt", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Real-time bike-related traffic violation detection of cars", "date": "2025-09-12", "abstract": "Multi-modal object detection offers more significant results than 3D object de-\ntection within a single domain[Shi20]. In the case of autonomous driving, a\n\ncombination of modalities is used to complement other modalities weaknesses.\nWhile LIDAR sensors offer great depth and reflection information precision, the\noutput is a sparsely populated point cloud. RGB images, on the other hand,\noffer great resolution and improve object detection and classification results.\nHowever, to be able to extract precise 3D bounding cuboids, it is often fusioned\nwith point clouds or other depth information.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 742, "image_height": 468, "name": "mueller-2024-rbt-image.png", "type": "image/png", "size": 493687, "path": "Publication:mueller-2024-rbt", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/mueller-2024-rbt/mueller-2024-rbt-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/mueller-2024-rbt/mueller-2024-rbt-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5355 ], "date_end": "2025-09-12", "date_start": "2024-03-07", "matrikelnr": "01417912", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "sensors", "bicycle", "traffic rules" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 742, "image_height": 468, "name": "mueller-2024-rbt-image.png", "type": "image/png", "size": 493687, "path": "Publication:mueller-2024-rbt", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/mueller-2024-rbt/mueller-2024-rbt-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/mueller-2024-rbt/mueller-2024-rbt-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mueller-2024-rbt-thesis.pdf", "type": "application/pdf", "size": 1095091, "path": "Publication:mueller-2024-rbt", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/mueller-2024-rbt/mueller-2024-rbt-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/mueller-2024-rbt/mueller-2024-rbt-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/mueller-2024-rbt/", "__class": "Publication" }, { "id": "KOEPPEL-2025-Nearfield", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Nearfield Viewer", "date": "2025-09-11", "abstract": "In lighting design, simulations rely on far-field photometry, which represents a luminaire\nby a point source with 2D angular luminous-intensity distribution. Moreover, lighting tools\nfocus on luminaire’s illumination while neglecting their visual appearance. For luminaires\nwith optically complex fixtures, far-field data is inaccurate. Near-field scans capture the\nrequired detail, but have large memomry requirements and are slow to render using current\napproaches. We present a real-time viewer that displays the luminaire appearance directly\nfrom near-field measurements rather than running a global illumination simulation. For every\nscreen pixel, we find the best measurement point and sample the corresponding data. Through\nour viewer, we showcase that near-field data can be used interactively on consumer hardware\nby using our data packing and sampling approach. Our approach provides a practical baseline\nfor future work on neural compression and using higher resolution scans, aiming to further\nimprove visual quality in lighting design.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "name": "KOEPPEL-2025-Nearfield-image.png", "type": "image/png", "size": 146541, "path": "Publication:KOEPPEL-2025-Nearfield", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/KOEPPEL-2025-Nearfield-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/KOEPPEL-2025-Nearfield-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5237 ], "date_end": "2025-09-11", "date_start": "2025-02-18", "matrikelnr": "12022493", "supervisor": [ 193, 659 ], "research_areas": [ "Rendering" ], "keywords": [ "near-field illumination", "luminaire design" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "name": "KOEPPEL-2025-Nearfield-image.png", "type": "image/png", "size": 146541, "path": "Publication:KOEPPEL-2025-Nearfield", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/KOEPPEL-2025-Nearfield-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/KOEPPEL-2025-Nearfield-image:thumb{{size}}.png" }, { "description": null, "filetitle": "report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "KOEPPEL-2025-Nearfield-report.pdf", "type": "application/pdf", "size": 5630442, "path": "Publication:KOEPPEL-2025-Nearfield", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/KOEPPEL-2025-Nearfield-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/KOEPPEL-2025-Nearfield-report:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/", "__class": "Publication" }, { "id": "proelss-bdp", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Building a drone platform for autonomous scanning", "date": "2025-09-08", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1050, "image_height": 740, "name": "proelss-bdp-image.png", "type": "image/png", "size": 729020, "path": "Publication:proelss-bdp", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/proelss-bdp/proelss-bdp-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/proelss-bdp/proelss-bdp-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5471 ], "co_supervisor": [ 948 ], "date_end": "2025-08-09", "date_start": "2025-03-20", "matrikelnr": "11912403", "supervisor": [ 193, 948 ], "research_areas": [ "Geometry" ], "keywords": [ "drone", "autonomous scanning", "lidar" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1050, "image_height": 740, "name": "proelss-bdp-image.png", "type": "image/png", "size": 729020, "path": "Publication:proelss-bdp", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/proelss-bdp/proelss-bdp-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/proelss-bdp/proelss-bdp-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "proelss-bdp-thesis.pdf", "type": "application/pdf", "size": 879923, "path": "Publication:proelss-bdp", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/proelss-bdp/proelss-bdp-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/proelss-bdp/proelss-bdp-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/proelss-bdp/", "__class": "Publication" }, { "id": "KRISTMANN-24-JPG", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/219184", "title": "Real-Time Rendering with JPEG-Compressed Textures", "date": "2025-09", "abstract": "Although variable-rate compressed image formats such as JPEG are widely used to efficiently encode images, they have not found their way into real-time rendering due to special requirements such as random access to individual texels. In this thesis, we investigate the feasibility of variable-rate texture compression on modern GPUs using the JPEG format, and how it compares to the GPU-friendly fixed-rate compression approaches BC1 and ASTC.Using a deferred rendering pipeline and a list of pointers to individually encoded JPEG blocks, we are able to identify the subset of blocks that are needed for a given frame, decode these, and colourise the framebuffer’s pixels. Despite the additional 0.5 bit per texel that we require for our approach, JPEG maintains significantly better quality and compression rates compared to BC1, and is able to compete with ASTC. Although we can not fully compete performance-wise, decoding the required texels of a JPEG texture requires less than 1ms per frame on an RTX 4090, thus demonstrating that variable-rate encoded image formats are feasible for rendering pipelines that are based on deferred rendering or visibility buffers", "authors_et_al": false, "substitute": null, "main_image": { "description": "MCU-Utilisation: Each pixel is coloured by how many of the corresponding\nMCU’s texels are actually used. Red: This pixel’s colour is sourced from an MCU where\nall its texels are used. Blue: Only a single texel of the corresponding MCU made it into\nthe final image.", "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1042, "image_height": 763, "name": "KRISTMANN-24-JPG-Teaser.jpg", "type": "image/jpeg", "size": 134818, "path": "Publication:KRISTMANN-24-JPG", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/KRISTMANN-24-JPG/KRISTMANN-24-JPG-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/KRISTMANN-24-JPG/KRISTMANN-24-JPG-Teaser:thumb{{size}}.png" }, "sync_repositum_override": "access,title,date", "repositum_presentation_id": null, "authors": [ 1935 ], "ac_number": "AC17639949", "co_supervisor": [ 1116 ], "date_end": "2025-09", "date_start": "2024-12", "diploma_examina": "2025-09-11", "doi": "10.34726/hss.2025.134600", "matrikelnr": "01519693", "open_access": "yes", "pages": "73", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "Texture compression", "Real-time rendering", "JPEG", "Image compression", "Cuda", "Variable-rate compression", "Huffman coding", "Parallel computing" ], "weblinks": [], "files": { "1": { "description": "MCU-Utilisation: Each pixel is coloured by how many of the corresponding\nMCU’s texels are actually used. Red: This pixel’s colour is sourced from an MCU where\nall its texels are used. Blue: Only a single texel of the corresponding MCU made it into\nthe final image.", "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1042, "image_height": 763, "name": "KRISTMANN-24-JPG-Teaser.jpg", "type": "image/jpeg", "size": 134818, "path": "Publication:KRISTMANN-24-JPG", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/KRISTMANN-24-JPG/KRISTMANN-24-JPG-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/KRISTMANN-24-JPG/KRISTMANN-24-JPG-Teaser:thumb{{size}}.png" }, "2": { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "KRISTMANN-24-JPG-thesis.pdf", "type": "application/pdf", "size": 4052635, "path": "Publication:KRISTMANN-24-JPG", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/KRISTMANN-24-JPG/KRISTMANN-24-JPG-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/KRISTMANN-24-JPG/KRISTMANN-24-JPG-thesis:thumb{{size}}.png" } }, "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/KRISTMANN-24-JPG/", "__class": "Publication" }, { "id": "gall-2025-marv", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/223667", "title": "MARV: Multiview Augmented Reality Visualisation for Exploring Rich Material Data", "date": "2025-09", "abstract": "Rich material data is complex, large and heterogeneous, integrating primary and secondary non-destructive testing data for spatial, spatio-temporal, as well as high-dimensional data analyses. Currently, materials experts mainly rely on conventional desktop-based systems using 2D visualisation techniques, which render respective analyses a time-consuming and mentally demanding challenge. MARV is a novel immersive visual analytics system, which makes analyses of such data more effective and engaging in an augmented reality setting. For this purpose, MARV includes three newly designed visualisation techniques: MDD Glyphs with a Skewness Kurtosis Mapper, Temporal Evolution Tracker, and Chrono Bins, facilitating interactive exploration and comparison of multidimensional distributions of attribute data from multiple time steps. A qualitative evaluation conducted with materials experts in a real-world case study demonstrates the benefits of the proposed visualisation techniques. This evaluation revealed that combining spatial and abstract data in an immersive environment improves their analytical capabilities and facilitates the identification of patterns, anomalies, as well as changes over time.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1355, 1354, 166, 611 ], "articleno": "e70150", "doi": "10.1111/cgf.70150", "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "6", "pages": "15", "publisher": "WILEY", "volume": "44", "research_areas": [ "VisMat", "VR" ], "keywords": [ "virtual environments", "augmented reality", "immersive analytics", "scientific visualisation", "visualization", "visual analytics" ], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/gall-2025-marv/", "__class": "Publication" }, { "id": "ellhotka-2025-ipo", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Improving the Performance of Edge-Path Bundling With WebGPU", "date": "2025-09", "abstract": "Visualizing large graphs is often challenging due to visual clutter, which obscures important patterns. While Spanner-based Edge-Path Bundling (S-EPB) is an effective technique\nfor mitigating this issue, its CPU-based implementation is too slow for interactive use, particularly in web environments. This thesis presents a Parallel Edge-Path Bundling (P-EPB) algorithm that addresses this performance limitation by utilizing the massively parallel processing capabilities of modern Graphics Processing Unit (GPU)s through the WebGPU API.\n\nThe proposed algorithm reengineers the S-EPB technique for parallel execution, with a focus on finding and then optimizing the most computationally demanding tasks: spanner construction and shortest-path calculations. A parallelized Floyd–Warshall algorithm, together with different spanner construction methods (greedy and theta-graph), is employed in implementing the P-EPB algorithm as an interactive web application. \n\nA detailed evaluation compares the WebGPU-based P-EPB algorithm to the CPU-based S-EPB implementation. Results show that the P-EPB approach, particularly when using a theta-spanner, delivers substantial speedups on dense graphs. This work highlights the potential of WebGPU to enable high-performance, interactive graph visualization and analysis in web-based environments.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "name": "ellhotka-2025-ipo-teaser.png", "type": "image/png", "size": 615750, "path": "Publication:ellhotka-2025-ipo", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ellhotka-2025-ipo/ellhotka-2025-ipo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ellhotka-2025-ipo/ellhotka-2025-ipo-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5498 ], "date_end": "2025-09", "date_start": "2025-03", "matrikelnr": "11776184", "supervisor": [ 166, 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://github.com/YannicEl/edge_bundling_webgpu", "caption": "GitHub", "description": null, "main_file": 1 }, { "href": "https://bachelor.yannic.at/app?graph=airlines&spannerAlgorithm=theta&renderingMode=quality", "caption": "demo", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "name": "ellhotka-2025-ipo-teaser.png", "type": "image/png", "size": 615750, "path": "Publication:ellhotka-2025-ipo", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ellhotka-2025-ipo/ellhotka-2025-ipo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ellhotka-2025-ipo/ellhotka-2025-ipo-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ellhotka-2025-ipo-thesis.pdf", "type": "application/pdf", "size": 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VisGames explores how visualization games and playful activities can be used beyond education as tools for communication, co-creation, and collaborative problem-solving. With this workshop, we aim to highlight innovative approaches that foster idea generation, support decision-making, engage stakeholders, and evaluate visualization design through interactive and game-based methods.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [], "editor": "Stoiber, Christina and Boucher, Magdalena and de Jesus Oliveira, Victor Adriel and Schetinger, Victor and Filipov, Velitchko and Raidou, Renata Georgia and Amabili, Lorenzo and Keck, Mandy and Aigner, Wolfgang", "isbn": "978-3-03868-290-5", "publisher": "Eurographics Association", "research_areas": [], "keywords": [ "Visual Analytics", "Visualization", "Games", "Activities" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/2025-v2e/", "__class": "Publication" }, { "id": "Braunsperger-2025_bsc", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Data-Centric Methods for Efficient Deep Assembly Verification: A Case Study in Electronic Lock Manufacturing", "date": "2025-06", "abstract": "This thesis investigates data-efficient deep learning methods for visual assembly ver-\nification in a highly customizable electronic lock production line. We examine three\ndata-centric strategies. First, ROI-based methods leverage the fixed geometry of the\nworkpiece carriers by reformulating object detection as a set of classification or regression\ntasks over predefined regions. Second, pseudo bounding boxes are created by combining\nimage-level labels with known part positions to automatically generate object detection\nannotations without manual labelling. Third, synthetic training data is produced by\ncompositing cropped part images with background scenes, thereby increasing dataset\ndiversity and reducing the need for extensive manual data collection.\nThese methods are evaluated on a real-world dataset collected during regular production\nto assess their effectiveness in reducing manual annotation effort. We provide a compre-\nhensive comparison of data-centric approaches, highlighting their respective strengths\nand limitations. The results demonstrate that leveraging the structured nature of the\nassembly environment enables accurate model performance with substantially reduced\nannotation requirements.", "authors_et_al": false, "substitute": null, "main_image": { "description": "An example from the dataset presented in the thesis showing a Double-sided hybrid Euro cylinder with electronic thumbturn and keyway", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1012, "image_height": 888, "name": "Braunsperger-2025_bsc-teaser.png", "type": "image/png", "size": 1577249, "path": "Publication:Braunsperger-2025_bsc", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Braunsperger-2025_bsc/Braunsperger-2025_bsc-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/Braunsperger-2025_bsc/Braunsperger-2025_bsc-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5475 ], "date_end": "2025-06", "date_start": "2024-09", "matrikelnr": "11909911", "supervisor": [ 1813, 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "An example from the dataset presented in the thesis showing a Double-sided hybrid Euro cylinder with electronic thumbturn and keyway", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1012, "image_height": 888, "name": "Braunsperger-2025_bsc-teaser.png", "type": "image/png", "size": 1577249, "path": "Publication:Braunsperger-2025_bsc", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Braunsperger-2025_bsc/Braunsperger-2025_bsc-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/Braunsperger-2025_bsc/Braunsperger-2025_bsc-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Braunsperger-2025_bsc-thesis.pdf", "type": "application/pdf", "size": 69351689, "path": "Publication:Braunsperger-2025_bsc", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Braunsperger-2025_bsc/Braunsperger-2025_bsc-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/Braunsperger-2025_bsc/Braunsperger-2025_bsc-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Braunsperger-2025_bsc/", "__class": "Publication" }, { "id": "erler-2025-lidarscout", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/216864", "title": "LidarScout: Direct Out-of-Core Rendering of Massive Point Clouds", "date": "2025-06", "abstract": "Large-scale terrain scans are the basis for many important tasks, such as topographic mapping, forestry, agriculture, and infrastructure planning. The resulting point cloud data sets are so massive in size that even basic tasks like viewing take hours to days of pre-processing in order to create level-of-detail structures that allow inspecting the data set in their entirety in real time. In this paper, we propose a method that is capable of instantly visualizing massive country-sized scans with hundreds of billions of points. Upon opening the data set, we first load a sparse subsample of points and initialize an overview of the entire point cloud, immediately followed by a surface reconstruction process to generate higher-quality, hole-free heightmaps. As users start navigating towards a region of interest, we continue to prioritize the heightmap construction process to the user's viewpoint. Once a user zooms in closely, we load the full-resolution point cloud data for that region and update the corresponding height map textures with the full-resolution data. As users navigate elsewhere, full-resolution point data that is no longer needed is unloaded, but the updated heightmap textures are retained as a form of medium level of detail. Overall, our method constitutes a form of direct out-of-core rendering for massive point cloud data sets (terabytes, compressed) that requires no preprocessing and no additional disk space. Source code, executable, pre-trained model, and dataset are available at: https://github.com/cg-tuwien/lidarscout", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2456, "image_height": 1411, "name": "erler-2025-lidarscout-teaser.jpg", "type": "image/jpeg", "size": 421958, "path": "Publication:erler-2025-lidarscout", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date,projects,articleno", "repositum_presentation_id": null, "authors": [ 1395, 1857, 193, 1116 ], "articleno": "10.2312/hpg.20251170", "booktitle": "High-Performance Graphics 2025 - Symposium Papers", 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We introduce the Visual Bias Explorer (ViBEx) to interactively explore the output space of T2I models to support the discovery of visual bias. ViBEx introduces a novel flexible prompting tree interface in combination with zero-shot bias probing using CLIP for quick and approximate bias exploration. It additionally supports in-depth confirmatory bias analysis through visual inspection of forward, intersectional, and inverse bias queries. ViBEx is model-agnostic and publicly available. In four case study interviews, experts in AI and ethics were able to discover visual biases that have so far not been described in literature.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2578, "image_height": 1292, "name": "eschner-2025-ide-image.png", "type": "image/png", "size": 1659146, "path": "Publication:eschner-2025-ide", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/eschner-2025-ide-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/eschner-2025-ide-image:thumb{{size}}.png" }, "sync_repositum_override": "title,date,projects,event,lecturer,location,number,volume", "repositum_presentation_id": null, "authors": [ 1653, 5490, 5370, 1110 ], "ac_number": "AC17579673", "articleno": "e70135", "doi": "10.1111/cgf.70135", "event": "EuroVis 2025", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1653 ], "location": "Luxembourg", "number": "3", "open_access": "yes", "pages": "20", "publisher": "WILEY", "volume": "44", "research_areas": [ "InfoVis" ], "keywords": [ "Visualization", "Bias", "Artificial Intelligence" ], "weblinks": [ { "href": "https://vibex.jde.cg.tuwien.ac.at", "caption": "live demo", "description": "Live demo of the ViBEx application", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2578, "image_height": 1292, "name": "eschner-2025-ide-image.png", "type": "image/png", "size": 1659146, "path": "Publication:eschner-2025-ide", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/eschner-2025-ide-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/eschner-2025-ide-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eschner-2025-ide-paper.pdf", "type": "application/pdf", "size": 46238959, "path": "Publication:eschner-2025-ide", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/eschner-2025-ide-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/eschner-2025-ide-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d9282" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/", "__class": "Publication" }, { "id": "matt-2025-scv", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/216286", "title": "Scalable Class-Centric Visual Interactive Labeling", "date": "2025-06", "abstract": "Large unlabeled datasets demand efficient and scalable data labeling solutions, in particular when the number of instances and classes is large. This leads to significant visual scalability challenges and imposes a high cognitive load on the users. Traditional instance-centric labeling methods, where (single) instances are labeled in each iteration struggle to scale effectively in these scenarios. To address these challenges, we introduce cVIL, a Class-Centric Visual Interactive Labeling methodology designed for interactive visual data labeling. By shifting the paradigm from assigning-classes-to-instances to assigning-instances-to-classes, cVIL reduces labeling effort and enhances efficiency for annotators working with large, complex and class-rich datasets. We propose a novel visual analytics labeling interface built on top of the conceptual cVIL workflow, enabling improved scalability over traditional visual labeling. In a user study, we demonstrate that cVIL can improve labeling efficiency and user satisfaction over instance-centric interfaces. The effectiveness of cVIL is further demonstrated through a usage scenario, showcasing its potential to alleviate cognitive load and support experts in managing extensive labeling tasks efficiently.", "authors_et_al": false, "substitute": null, "main_image": { "description": "class-centric visual interactive labeling workflow", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1667, "image_height": 624, "name": "matt-2025-scv-teaser.png", "type": "image/png", "size": 254694, "path": "Publication:matt-2025-scv", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/matt-2025-scv/matt-2025-scv-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/matt-2025-scv/matt-2025-scv-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5263, 5487, 1851, 5370, 1110 ], "articleno": "104240", "doi": "10.1016/j.cag.2025.104240", "issn": "1873-7684", "journal": "COMPUTERS & GRAPHICS-UK", "pages": "14", "publisher": "PERGAMON-ELSEVIER SCIENCE LTD", "volume": "129", "research_areas": [ "InfoVis" ], "keywords": [ "Class-centric labeling", "Interactive machine learning", "Property measures", "Visual analytics", "Visual-interactive data labeling" ], "weblinks": [], "files": [ { "description": "class-centric visual interactive labeling workflow", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1667, "image_height": 624, "name": "matt-2025-scv-teaser.png", "type": "image/png", "size": 254694, "path": "Publication:matt-2025-scv", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/matt-2025-scv/matt-2025-scv-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/matt-2025-scv/matt-2025-scv-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "d9282" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/matt-2025-scv/", "__class": "Publication" }, { "id": "schuetz-2025-splatshop", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/216694", "title": "Splatshop: Efficiently Editing Large Gaussian Splat Models", "date": "2025-06", "abstract": "We present Splatshop, a highly optimized toolbox for interactive editing (selection, deletion, painting, transformation, . . . ) of 3D Gaussian Splatting models. Utilizing a comprehensive collection of heuristic approaches, we carefully balance between exact and fast rendering to enable precise editing without sacrificing real-time performance. Our experiments confirm that Splatshop achieves these goals for scenes with up to 100 million primitives. We also show how our proposed pipeline can be extended for use with head-mounted displays. As such, Splatshop is the first VR-capable editor for large-scale 3D Gaussian Splatting models and a step towards a ''Photoshop for Gaussian Splatting.''", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "cover", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1276, "image_height": 691, "name": "schuetz-2025-splatshop-cover.jpg", "type": "image/jpeg", "size": 327472, "path": "Publication:schuetz-2025-splatshop", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schuetz-2025-splatshop/schuetz-2025-splatshop-cover.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/schuetz-2025-splatshop/schuetz-2025-splatshop-cover:thumb{{size}}.png" }, "sync_repositum_override": "date,projects,articleno", "repositum_presentation_id": null, "authors": [ 1116, 5492, 5493, 823, 842, 193 ], "articleno": "8", "doi": "10.1111/cgf.70214", "issn": "1467-8659", "journal": "Computer Graphics Forum", "note": "https://github.com/m-schuetz/Splatshop", "number": "8", "open_access": "yes", "pages": "12", "publisher": "WILEY", "volume": "44", "research_areas": [ "Rendering" ], "keywords": [ "gaussian splats", "point clouds", "real-time rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "cover", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1276, "image_height": 691, "name": "schuetz-2025-splatshop-cover.jpg", "type": "image/jpeg", "size": 327472, "path": "Publication:schuetz-2025-splatshop", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schuetz-2025-splatshop/schuetz-2025-splatshop-cover.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/schuetz-2025-splatshop/schuetz-2025-splatshop-cover:thumb{{size}}.png" } ], "projects_workgroups": [ "d9275", "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schuetz-2025-splatshop/", "__class": "Publication" }, { "id": "steinschorn-2025-parameter", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/216467", "title": "Parameter Optimization for Surface Reconstruction", "date": "2025-06", "abstract": "In this thesis, we compare different parameter-optimization algorithms on the example of Screened Poisson Surface Reconstruction. To do this, we first implemented five state-of-the-art algorithms. GEIST is a graph-based algorithm that splits the parameter space into an `optimal' and a `non-optimal' set to select new configurations. Iterated F-Race places a normal distribution of selection probabilities on the best configurations of the last iteration and uses that to choose the next configurations. ParamILS uses iterative local search to select a better neighbor and find an optimum this way. PostSelection uses a shortened version of an algorithm to find promising candidates and a second, more detailed one to evaluate these. As a simple baseline we also implemented Brute-Force.\n\nFor all of these algorithms, we first conduct several tests to find a good configuration to run them with. After that, we test them on point clouds from two datasets. Each dataset contains each cloud in different qualities, so we are able to test varying input qualities as well as types. We show that each of the implemented algorithms is able to find better parameter configurations than the default Screened Poisson Surface Reconstruction configuration. In most cases, GEIST and PostSelection lead to the best results but also have the longest run times, while ParamILS and Iterated F-Race lead to good results in a far shorter time period. Brute-Force is not competitive when it comes to high-quality configurations, but still leads to an improvement over the default in most cases.\n\nTo summarize the results over different types and qualities, the default configuration yields acceptable but not ideal results for point clouds of smooth meshes with little noise and we suggest an alternative. If the surface is rougher, the importance weight of the points should ideally be set higher. If there is a lot of noise, this weight as well as the Octree depth should be reduced.\n\nWe discuss the advantages and disadvantages of each implemented algorithm and compare their results to recommend which one to use. We describe our implementations of each and quickly mention what work could be done to expand on this thesis. Finally, we give recommendations as to which configurations to use for different types of point clouds. For data with higher accuracy, depth and pointWeight should be higher than for data with lower accuracy. If the topology of the object is very complex, pointWeight is best set very high in comparison to simpler point clouds. We find that for most cases, IF-Race is the best compromise to use between speed and resulting quality of reconstruction. If time is of no concern, GEIST is an alternative that yields high-quality results.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Armadillo input point cloud, reconstruction with default parameters, reconstruction with optimized parameters", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2444, "image_height": 927, "name": "steinschorn-2025-parameter-teaser.png", "type": "image/png", "size": 935638, "path": "Publication:steinschorn-2025-parameter", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-parameter/steinschorn-2025-parameter-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-parameter/steinschorn-2025-parameter-teaser:thumb{{size}}.png" }, "sync_repositum_override": "abstract,keywords,ac_number", "repositum_presentation_id": null, "authors": [ 1757 ], "ac_number": "AC17567674", "date_end": "2025-06", "date_start": "2020-04-02", "diploma_examina": "2025-06-16", "doi": "10.34726/hss.2025.80083", "matrikelnr": "1227109", "open_access": "yes", "pages": "96", "supervisor": [ 193, 1395 ], "research_areas": [ "InfoVis", "Modeling" ], "keywords": [ "parameter optimization", "deep learning", "surface reconstruction", "Autotuning", "Point Clouds" ], "weblinks": [ { "href": "https://github.com/thefloff/ppsurf_param_opt", "caption": "Repository", "description": null, "main_file": 1 } ], "files": { "1": { "description": "Armadillo input point cloud, reconstruction with default parameters, reconstruction with optimized parameters", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2444, "image_height": 927, "name": "steinschorn-2025-parameter-teaser.png", "type": "image/png", "size": 935638, "path": "Publication:steinschorn-2025-parameter", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-parameter/steinschorn-2025-parameter-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-parameter/steinschorn-2025-parameter-teaser:thumb{{size}}.png" }, "2": { "description": null, "filetitle": "thesis_large", "main_file": false, "use_in_gallery": false, "access": "public", "name": "steinschorn-2025-parameter-thesis_large.pdf", "type": "application/pdf", "size": 18678215, "path": "Publication:steinschorn-2025-parameter", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-parameter/steinschorn-2025-parameter-thesis_large.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-parameter/steinschorn-2025-parameter-thesis_large:thumb{{size}}.png" }, "3": { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "steinschorn-2025-parameter-thesis.pdf", "type": "application/pdf", "size": 2695388, "path": "Publication:steinschorn-2025-parameter", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-parameter/steinschorn-2025-parameter-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-parameter/steinschorn-2025-parameter-thesis:thumb{{size}}.png" } }, "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-parameter/", "__class": "Publication" }, { "id": "vuckovic-2025-pdo", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/216200", "title": "Participatory Design of Visual Analytics Tools for Different Target Groups", "date": "2025-05-19", "abstract": "This paper reflects on the software engineering process behind the development of data visualization and analytics technologies tailored to the needs of diverse user groups. These considerations, introduced in our earlier work, are briefly revisited here. We focused on two use cases: one tailored to the needs and preferences of practitioners (data analysts), and the other directed towards meeting the requirements of nonprofessional, volunteer-based participants engaged in participatory citizen science. In both scenarios, we employed participatory methods, actively involving the target users in conceptualization and implementation phases. We observed diverse requirements and preferences concerning data visualization choices, additional functionalities, and analytical measures. To assess the effectiveness of these tools, in the current paper, we conducted a taskbased evaluation with selected participants, asking them to perform specific tasks such as identifying faults in the data, patterns, or detecting outliers. This was supplemented with qualitative feedback gathered through interviews and surveys, providing insights into user satisfaction, perceived challenges, and suggestions for improvement. The evaluation process revealed several areas for improvement from non-practitioners, particularly in the visual clarity of visualizations and the explanations regarding their usage, while practitioners responded more positively, noting no critical issues in software design and function.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5485, 5486, 950 ], "ac_number": "AC17562707", "doi": "10.24138/jcomss-2025-0009", "issn": "1846-6079", "journal": "Journal of Communications Software and Systems", "number": "2", "open_access": "yes", "pages": "10", "pages_from": "240", "pages_to": "249", "publisher": "Croatian Communications and Information Society", "volume": "21", "research_areas": [], "keywords": [ "Participatory Design", "Visualization design and evaluation methods", "Visual Analytics", "Data Quality" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "vuckovic-2025-pdo-paper.pdf", "type": "application/pdf", "size": 3015120, "path": "Publication:vuckovic-2025-pdo", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/vuckovic-2025-pdo/vuckovic-2025-pdo-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/vuckovic-2025-pdo/vuckovic-2025-pdo-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/vuckovic-2025-pdo/", "__class": "Publication" }, { "id": "aigner-2025-vhv", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/225207", "title": "Visual Heritage: Visual Analytics and Computer Vision Meet Cultural Heritage (doc.funds.connect)", "date": "2025-05-07", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5540, 966, 5541, 1511, 5542, 1110, 5370 ], "booktitle": "Abstractband: 18. Forschungsforum der österreichischen Fachhochschulen", "date_from": "2025-05-07", "date_to": "2025-05-08", "event": "18. Forschungsforum Der Österreichischen Fachhochschulen", "lecturer": [ 5543 ], "location": "Wien", "pages": "2", "pages_from": "558", "pages_to": "559", "research_areas": [], "keywords": [ "Artificial Intelligence", "Visual Analytics", "Computer Vision", "Cultural Heritage", "Visualization", "Computer Science" ], "weblinks": [], "files": [], "projects_workgroups": [ "d9522" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/aigner-2025-vhv/", "__class": "Publication" }, { "id": "celarek-2025-d3g", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/219918", "title": "Does 3D Gaussian Splatting Need Accurate Volumetric Rendering?", "date": "2025-05", "abstract": "Since its introduction, 3D Gaussian Splatting (3DGS) has become an important reference method for learning 3D representations of a captured scene, allowing real-time novel-view synthesis with high visual quality and fast training times. Neural Radiance Fields (NeRFs), which preceded 3DGS, are based on a principled ray-marching approach for volumetric rendering. In contrast, while sharing a similar image formation model with NeRF, 3DGS uses a hybrid rendering solution that builds on the strengths of volume rendering and primitive rasterization. A crucial benefit of 3DGS is its performance, achieved through a set of approximations, in many cases with respect to volumetric rendering theory. A naturally arising question is whether replacing these approximations with more principled volumetric rendering solutions can improve the quality of 3DGS. In this paper, we present an in-depth analysis of the various approximations and assumptions used by the original 3DGS solution. We demonstrate that, while more accurate volumetric rendering can help for low numbers of primitives, the power of efficient optimization and the large number of Gaussians allows 3DGS to outperform volumetric rendering despite its approximations.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1013, 5372, 5503, 193, 1650 ], "articleno": "e70032", "doi": "10.1111/cgf.70032", "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "2", "pages": "12", "publisher": "WILEY", "volume": "44", "research_areas": [], "keywords": [ "CCS Concepts", "Rasterization", "Ray tracing", "Volumetric models", "• Computing methodologies → Image-based rendering" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/celarek-2025-d3g/", "__class": "Publication" }, { "id": "medeiros-2025-iaa", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/216052", "title": "Immersive Analytics as a Support Medium for Data-Driven Monitoring in Hydropower", "date": "2025-05", "abstract": "Hydropower turbines are large-scale equipment essential to sustainable energy supply chains, and engineers have few opportunities to examine their internal structure. Our Immersive Analytics (IA) application is part of a research project that combines and compares simulated water turbine flows and sensor-measured data, looking for data-driven predictions of the lifetime of the mechanical parts of hydroelectric power plants. Our prototype combines spatial and abstract data in an immersive environment in which the user can navigate through a full-scale model of a water turbine, view simulated water flows of three different energy supply conditions, and visualize and interact with sensor-collected data situated at the reference position of the sensors in the actual turbine. In this paper, we detail our design process, which resulted from consultations with domain experts and a literature review, give an overview of our prototype, and present its evaluation, resulting from semi-structured interviews with experts and qualitative thematic analysis. Our findings confirm the current literature that IA applications add value to the presentation and analysis of situated data, as they show that we advance in the design directions for IA applications for domain experts that combine abstract and spatial data, with conclusions on how to avoid skepticism from such professionals.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5484, 378, 950 ], "doi": "10.1109/TVCG.2025.3549157", "issn": "1941-0506", "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "5", "pages": "11", "pages_from": "3536", "pages_to": "3546", "publisher": "IEEE COMPUTER SOC", "volume": "31", "research_areas": [], "keywords": [ "Immersive Analytics", "Data Visualization", "Digitalization", "Egocentric navigation", "Spatial Data", "User Evaluation" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/medeiros-2025-iaa/", "__class": "Publication" }, { "id": "freude-2025-ras", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/216171", "title": "Revisiting Analog Stereoscopic Film", "date": "2025-05", "abstract": "We present approaches for the simulation of an analog autostereoscopic (glasses-free) display and the visualization of analog color film at micro scales. These techniques were developed during an artistic research project and the creation of an accompanying art installation, which exhibits an analog stereo short film projected on a re-creation of a cyclostéréoscope, a historic device developed around 1952. We describe how computer graphics helped to understand the cyclostéréoscope, supported its physical re-creation, and enabled the visualization of the projection and material structure of analog film using physically based Monte Carlo light simulation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1500, "image_height": 1000, "name": "freude-2025-ras-image.png", "type": "image/png", "size": 3727580, "path": "Publication:freude-2025-ras", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/freude-2025-ras-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/freude-2025-ras-image:thumb{{size}}.png" }, "sync_repositum_override": "date,articleno,open_access", "repositum_presentation_id": null, "authors": [ 1128, 5481, 5482, 5483, 193 ], "articleno": "N/A", "booktitle": "EPRESSIVE+WICED 2025 : The 9th ACM/EG Expressive Symposium : Eurographics Workshop on Intelligent Cinematography and Editing", "date_from": "2025-05-11", "date_to": "2025-05-12", "doi": "10.2312/exw.20251061", "event": "The 9th ACM/EG Expressive Symposium Eurographics Workshop on Intelligent Cinematography and Editing", "isbn": "978-3-03868-271-4", "lecturer": [ 1128 ], "location": "London", "open_access": "yes", "pages": "3", "publisher": "The Eurographics Association", "research_areas": [ "Rendering" ], "keywords": [ "Media arts", "Animation", "Rendering", "Visualization systems and tools", "Displays and imagers" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1500, "image_height": 1000, "name": "freude-2025-ras-image.png", "type": "image/png", "size": 3727580, "path": "Publication:freude-2025-ras", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/freude-2025-ras-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/freude-2025-ras-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "freude-2025-ras-paper.pdf", "type": "application/pdf", "size": 52013444, "path": "Publication:freude-2025-ras", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/freude-2025-ras-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/freude-2025-ras-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4729" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/", "__class": "Publication" }, { "id": "grammatikaki-2025-htr", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/215590", "title": "How to represent landmark trees in digital 3D maps? An automated workflow and user study", "date": "2025-05", "abstract": "Digital 3D maps created from digital elevation models (DEMs) cannot properly capture trees due to the 2.5D nature of the DEMs. Leveraging publicly available DEMs and orthophotos as the only input data sources, we present a fully automatic pipeline that models landmark trees. We conducted two crowdsourced user studies to evaluate visual appeal and scene recognizability using two different levels of detail of tree representations generated using our pipeline. Users found highly detailed trees much more appealing, and also easier and more trustworthy to recognize, with open-ended responses revealing key factors like realism, coherence, and tree shape influencing their preferences. However, the ability to recognize a location seems to depend more on the surrounding environment than the representation of the landmark tree in focus. We discuss the implications of these results for digital 3D outdoor maps.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2200, "image_height": 370, "name": "grammatikaki-2025-htr-image.jpg", "type": "image/jpeg", "size": 181956, "path": "Publication:grammatikaki-2025-htr", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/grammatikaki-2025-htr/grammatikaki-2025-htr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/grammatikaki-2025-htr/grammatikaki-2025-htr-image:thumb{{size}}.png" }, "sync_repositum_override": "date,projects,pages_from,pages_to,volume", "repositum_presentation_id": null, "authors": [ 1937, 1653, 5463, 5462, 1110 ], "doi": "10.1080/15230406.2025.2489543", "issn": "1545-0465", "journal": "Cartography and Geographic Information Science", "open_access": "yes", "pages": "18", "pages_from": "1", "pages_to": "18", "publisher": "TAYLOR & FRANCIS INC", "volume": "Number 0", "research_areas": [], "keywords": [ "Digital 3D maps", "landmarks", "trees", "user study", "modeling", "rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2200, "image_height": 370, "name": "grammatikaki-2025-htr-image.jpg", "type": "image/jpeg", "size": 181956, "path": "Publication:grammatikaki-2025-htr", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/grammatikaki-2025-htr/grammatikaki-2025-htr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/grammatikaki-2025-htr/grammatikaki-2025-htr-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/grammatikaki-2025-htr/", "__class": "Publication" }, { "id": "musleh-2025-trustme", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/215604", "title": "TrustME: A Context-Aware Explainability Model to Promote User Trust in Guidance", "date": "2025-04-21", "abstract": "Guidance-enhanced approaches are used to support users in making sense of their data and overcoming challenging analytical scenarios. While recent literature underscores the value of guidance, a lack of clear explanations to motivate system interventions may still negatively impact guidance effectiveness. Hence, guidance-enhanced VA approaches require meticulous design, demanding contextual adjustments for developing appropriate explanations. Our paper discusses the concept of explainable guidance and how it impacts the user-system relationship-specifically, a user's trust in guidance within the VA process. We subsequently propose a model that supports the design of explainability strategies for guidance in VA. The model builds upon flourishing literature in explainable AI, available guidelines for developing effective guidance in VA systems, and accrued knowledge on user-system trust dynamics. Our model responds to challenges concerning guidance adoption and context-effectiveness by fostering trust through appropriately designed explanations. To demonstrate the model's value, we employ it in designing explanations within two existing VA scenarios. We also describe a design walk-through with a guidance expert to showcase how our model supports designers in clarifying the rationale behind system interventions and designing explainable guidance.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 703, "image_height": 706, "name": "musleh-2025-trustme-.png", "type": "image/png", "size": 75894, "path": "Publication:musleh-2025-trustme", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/musleh-2025-trustme/musleh-2025-trustme-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/musleh-2025-trustme/musleh-2025-trustme-:thumb{{size}}.png" }, "sync_repositum_override": "event,number,pages_from,pages_to,volume", "repositum_presentation_id": null, "authors": [ 1867, 1410, 5418 ], "doi": "10.1109/TVCG.2025.3562929", "event": "IEEE Vis 2025", "issn": "1941-0506", "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "10", "open_access": "yes", "pages": "17", "pages_from": "8040", "pages_to": "8056", "publisher": "IEEE COMPUTER SOC", "volume": "31", "research_areas": [ "InfoVis" ], "keywords": [ "Explainability", "Explainable Guidance", "User Trust", "Visual Analytics" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 703, "image_height": 706, "name": "musleh-2025-trustme-.png", "type": "image/png", "size": 75894, "path": "Publication:musleh-2025-trustme", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/musleh-2025-trustme/musleh-2025-trustme-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/musleh-2025-trustme/musleh-2025-trustme-:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/musleh-2025-trustme/", "__class": "Publication" }, { "id": "freude-2025-iso", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/216172", "title": "Inverse Simulation of Radiative Thermal Transport", "date": "2025-04-17", "abstract": "The early phase of urban planning and architectural design has a great impact on the thermal loads and characteristics of constructed buildings. It is, therefore, important to efficiently simulate thermal effects early on and rectify possible problems. In this paper, we present an inverse simulation of radiative heat transport and a differentiable photon-tracing approach. Our method utilizes GPU-accelerated ray tracing to speed up both the forward and adjoint simulation. Moreover, we incorporate matrix compression to further increase the efficiency of our thermal solver and support larger scenes. In addition to our differentiable photon-tracing approach, we introduce a novel approximate edge sampling scheme that re-uses primary samples instead of relying on explicit edge samples or auxiliary rays to resolve visibility discontinuities. Our inverse simulation system enables designers to not only predict the temperature distribution, but also automatically optimize the design to improve thermal comfort and avoid problematic configurations. We showcase our approach using several examples in which we optimize the placement of buildings or their facade geometry. Our approach can be used to optimize arbitrary geometric parameterizations and supports steady-state, as well as transient simulations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 960, "image_height": 540, "name": "freude-2025-iso-image.png", "type": "image/png", "size": 743750, "path": "Publication:freude-2025-iso", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-image:thumb{{size}}.png" }, "sync_repositum_override": "date_from,date_to,event,lecturer,number,open_access,volume", "repositum_presentation_id": null, "authors": [ 1128, 1525, 5257, 1063, 193, 1946 ], "articleno": "e70048", "date_from": "2025", "date_to": "2025", "doi": "10.1111/cgf.70048", "event": "Eurographics 2025", "first_published": "2025", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1128 ], "number": "2", "open_access": "yes", "pages": "14", "publisher": "WILEY", "volume": "44", "research_areas": [ "Rendering" ], "keywords": [ "Ray tracing", "Physical simulation", "Computer-aided design" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 960, "image_height": 540, "name": "freude-2025-iso-image.png", "type": "image/png", "size": 743750, "path": "Publication:freude-2025-iso", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "freude-2025-iso-paper.pdf", "type": "application/pdf", "size": 13713470, "path": "Publication:freude-2025-iso", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314", "d9259" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/", "__class": "Publication" }, { "id": "brandmair-2025-rub", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Rust-based WebGPU Rendering Backend for a Parametric Modeling Tool", "date": "2025-04", "abstract": "A WebGPU rendering backend has been implemented for the parametric modeling tool Math2Model in Rust. Having the rendering backend written in Rust (instead of TypeScript) allows using profiling tools, Rust libraries, and a strongly typed and safe programming language---for developing a web application.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "name": "brandmair-2025-rub-image.png", "type": "image/png", "size": 305857, "path": "Publication:brandmair-2025-rub", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/brandmair-2025-rub/brandmair-2025-rub-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/brandmair-2025-rub/brandmair-2025-rub-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5377 ], "date_end": "2025-04-30", "date_start": "2024-05-01", "matrikelnr": "12024754", "supervisor": [ 848, 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [ { "href": "https://github.com/cg-tuwien/Math2Model/blob/main/CHANGELOG.md", "caption": "Release Notes", "description": "Activity log for this student project", "main_file": 0 }, { "href": "https://cg-tuwien.github.io/Math2Model", "caption": "Math2Model: Build Objects with Math", "description": "Online parametric modeling tool", "main_file": 1 }, { "href": "https://github.com/cg-tuwien/Math2Model", "caption": "Source Code", "description": "Source code on GitHub, for Rust rendering backend see /parametric-renderer-core", "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "name": "brandmair-2025-rub-image.png", "type": "image/png", "size": 305857, "path": "Publication:brandmair-2025-rub", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/brandmair-2025-rub/brandmair-2025-rub-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/brandmair-2025-rub/brandmair-2025-rub-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/brandmair-2025-rub/", "__class": "Publication" }, { "id": "wiesinger_2025-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Using a drone for automated 3D Scanning", "date": "2025-03-28", "abstract": "Drones have been widely adopted over the past decades, aiding in critical tasks such as\nsearch and rescue, inspection, and mapping. Autonomous drone scanning could further\nsupport such missions, but remains a significant challenge in indoor environments. This\nthesis explores the feasibility of using a consumer drone for such autonomous indoor 3D\nscanning. Our approach combines a DJI Spark drone, a lightweight Pico Flexx depth\nsensor, and a Raspberry Pi to capture depth data, which is streamed to an external\nserver for real-time processing. The system leverages ROS 2 and InfiniTAM for SLAM\nand map reconstruction, while navigation commands are issued via a smartphone using\nDJI’s Mobile SDK.\nAlthough the system successfully completed a limited autonomous scan, various con-\nstraints—including the drone’s payload capacity, limited sensor range, and hardware\ninstabilities—posed significant challenges. Despite these limitations, a modular software\narchitecture was developed that integrates sensing, mapping, and navigation. This\nframework provides a solid foundation for future work toward fully autonomous indoor\nscanning with more capable hardware. However, generating the next best view and\nfinding a feasible path toward it remain open challenges.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5296 ], "date_end": "2025-03-28", "date_start": "2023-07-13", "matrikelnr": "11938253", "supervisor": [ 193, 948 ], "research_areas": [ "Geometry" ], "keywords": [ "drone", "scanning", "automation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "name": "wiesinger_2025-baa-image.png", "type": "image/png", "size": 351129, "path": "Publication:wiesinger_2025-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/wiesinger_2025-baa/wiesinger_2025-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/wiesinger_2025-baa/wiesinger_2025-baa-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wiesinger_2025-baa-thesis.pdf", "type": "application/pdf", "size": 87944075, "path": "Publication:wiesinger_2025-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/wiesinger_2025-baa/wiesinger_2025-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/wiesinger_2025-baa/wiesinger_2025-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/wiesinger_2025-baa/", "__class": "Publication" }, { "id": "winklmueller-2025-ims", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Inverse Material Synthesis via Sub-Shader Extraction", "date": "2025-03-15", "abstract": "I explore the possibility of generating procedural Blender shaders of self-similar semiregular\nsurfaces from an input image derived from photograph or digital render. The\nresulting Blender shader should produce a Material with a look similar to the input\nimage.\nThis would be useful because procedural materials give 3D artists flexibility and creative\ncontrol over the materials look, that image based materials cannot, while inheriting all\nthe benefits of said image based materials, like availability and ease of use.\nThis shader generation is done by a neural parameter predictor and subsequent extraction\nof a sub-shader from a given, pre-built, general shader graph (the super-shader). The\nparameters are predicted by a MLP neural network using statistical texture descriptors\nas its input. Those descriptors are extracted from a pre-trained image classification\nCNN, which uses the original photograph/render as its input. Using this pipeline a\nlarge learning dataset for the MLP can be easily artificially generated with Blender by\nrendering the super-shader with randomized parameters.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "name": "winklmueller-2025-ims-image.png", "type": "image/png", "size": 1737834, "path": "Publication:winklmueller-2025-ims", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/winklmueller-2025-ims/winklmueller-2025-ims-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/winklmueller-2025-ims/winklmueller-2025-ims-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5292 ], "date_end": "2025-03-01", "date_start": "2024-09-01", "matrikelnr": "01429490", "supervisor": [ 1303 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "bachelor-thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "winklmueller-2025-ims-bachelor-thesis.pdf", "type": "application/pdf", "size": 11718265, "path": "Publication:winklmueller-2025-ims", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/winklmueller-2025-ims/winklmueller-2025-ims-bachelor-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/winklmueller-2025-ims/winklmueller-2025-ims-bachelor-thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "name": "winklmueller-2025-ims-image.png", "type": "image/png", "size": 1737834, "path": "Publication:winklmueller-2025-ims", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/winklmueller-2025-ims/winklmueller-2025-ims-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/winklmueller-2025-ims/winklmueller-2025-ims-image:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/winklmueller-2025-ims/", "__class": "Publication" }, { "id": "walchhofer_ar_flowmaps", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "AR Visualization of Migration Flows in Europe", "date": "2025-03", "abstract": "Origin-Destination (OD) flow maps are a tool for visualizing movement patterns in domains such as transportation, trade, or migration. OD flow maps visualize movement using a network of directional and weighted curves. Traditional 2D OD flow maps often suffer from visual clutter and occlusion, limiting their ffectiveness in conveying complex spatial relationships. This thesis explores the use of Augmented Reality (AR) for OD flow map visualization of migration data to enhance interactivity, data comprehensibility, and spatial awareness. By extending OD flow maps to the third dimension of time, users can interact with the data dynamically and view OD connections from multiple perspectives across a span of years. This thesis develops an approach to visualize and encode the time component using a Space-Time Cube (STC), which encodes the time as\nan additional spatial dimension. The research involves the implementation of a force-directed layout algorithm based on work by Jenny et al. and the development of a marker-based AR phone application prototype capable of visualizing migration data for EU countries spanning from 2008-2022. This thesis contributes to the fields of data visualization, computer graphics, and human-computer interaction, providing insights into how immersive technologies can enhance spatio-temporal data visualization", "authors_et_al": false, "substitute": null, "main_image": { "description": "A 3D migration flow map of Central Europe with stacked flow lines representing individual years.", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1318, "image_height": 977, "name": "walchhofer_ar_flowmaps-teaser.png", "type": "image/png", "size": 584452, "path": "Publication:walchhofer_ar_flowmaps", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/walchhofer_ar_flowmaps/walchhofer_ar_flowmaps-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/walchhofer_ar_flowmaps/walchhofer_ar_flowmaps-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, 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"2025-03", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 2367, "preview_image_height": 1870, "name": "bramberger-3pv-.pdf", "type": "application/pdf", "size": 58525187, "path": "Publication:bramberger-3pv", "preview_name": "bramberger-3pv-:preview.jpg", "preview_type": "image/jpeg", "preview_size": 1647504, "url": "https://www.cg.tuwien.ac.at/research/publications/2025/bramberger-3pv/bramberger-3pv-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/bramberger-3pv/bramberger-3pv-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5449 ], "date_end": "2025-03", "date_start": "2024-09", "matrikelnr": "11913098", "supervisor": [ 1813, 1410 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 2367, "preview_image_height": 1870, "name": "bramberger-3pv-.pdf", "type": "application/pdf", "size": 58525187, "path": "Publication:bramberger-3pv", "preview_name": "bramberger-3pv-:preview.jpg", "preview_type": "image/jpeg", "preview_size": 1647504, "url": "https://www.cg.tuwien.ac.at/research/publications/2025/bramberger-3pv/bramberger-3pv-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/bramberger-3pv/bramberger-3pv-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/bramberger-3pv/", "__class": "Publication" }, { "id": "komon-kimmersdorfer-2025-weBIGeo", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "weBIGeo: real-time avalanche simulation and visualization using WebGPU", "date": "2025-03", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": "Possible avalanche traces on Schneeberg", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "name": "komon-kimmersdorfer-2025-weBIGeo-teaser.png", "type": "image/png", "size": 6536942, "path": "Publication:komon-kimmersdorfer-2025-weBIGeo", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-kimmersdorfer-2025-weBIGeo/komon-kimmersdorfer-2025-weBIGeo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-kimmersdorfer-2025-weBIGeo/komon-kimmersdorfer-2025-weBIGeo-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1859, 1869 ], "date_end": "2025-03", "date_start": "2024-02", "matrikelnr": "11808210, 01326608", "supervisor": [ 1110, 1013 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://webigeo.alpinemaps.org/", "caption": "weBIGeo", "description": "weBIGeo avalanche simulation demo", "main_file": 1 }, { "href": "https://www.netidee.at/webigeo", "caption": "project page", "description": "NetIdee project page, including end report and blog posts", "main_file": 1 }, { "href": "https://github.com/weBIGeo/webigeo/tree/release/netidee6745", "caption": "GitHub", "description": "Code and documentation", "main_file": 0 } ], "files": [ { "description": "Possible avalanche traces on Schneeberg", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "name": "komon-kimmersdorfer-2025-weBIGeo-teaser.png", "type": "image/png", "size": 6536942, "path": "Publication:komon-kimmersdorfer-2025-weBIGeo", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-kimmersdorfer-2025-weBIGeo/komon-kimmersdorfer-2025-weBIGeo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-kimmersdorfer-2025-weBIGeo/komon-kimmersdorfer-2025-weBIGeo-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "d9555" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-kimmersdorfer-2025-weBIGeo/", "__class": "Publication" }, { "id": "fuchs_peter-2024-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Efficient User Guidance to Next-Best-View Scan Positions", "date": "2025-02-28", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 149, "image_height": 100, "name": "fuchs_peter-2024-baa-image.png", "type": "image/png", "size": 26907, "path": "Publication:fuchs_peter-2024-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/fuchs_peter-2024-baa/fuchs_peter-2024-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/fuchs_peter-2024-baa/fuchs_peter-2024-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5381 ], "co_supervisor": [ 948 ], "date_end": "2025-02-28", "date_start": "2024-09-01", "matrikelnr": "12125442", "supervisor": [ 193 ], "research_areas": [ "Geometry" ], "keywords": [ "next-best-view", "user guidance", "scanning" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 149, "image_height": 100, "name": "fuchs_peter-2024-baa-image.png", "type": "image/png", "size": 26907, "path": "Publication:fuchs_peter-2024-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/fuchs_peter-2024-baa/fuchs_peter-2024-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/fuchs_peter-2024-baa/fuchs_peter-2024-baa-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "fuchs_peter-2024-baa-thesis.pdf", "type": "application/pdf", "size": 10633086, "path": "Publication:fuchs_peter-2024-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/fuchs_peter-2024-baa/fuchs_peter-2024-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/fuchs_peter-2024-baa/fuchs_peter-2024-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/fuchs_peter-2024-baa/", "__class": "Publication" }, { "id": "steinheber-2024-oto", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Observation and Tracking of Plant Health using Computer Vision", "date": "2025-02-19", "abstract": "- select neural network for classification of diseases, dryness of soil etc. with multispectral analysis, with open source, input should be image of plant bed (with several diverse plants), pipeline with segmentation (in same paper, or find segmentation paper)\n- optional: classify and segment plants\n- optional: growth analysis: blueten, wie schnell waechst die pflanze\n- search for data sets for training for generic plants (as many plants as possible), possibly combine several\n- evaluation with cheap IP RGB camera, and multispectral camera, e.g., RGB+IR or more\n- optional: evaluate soil dryness from images with dryness sensor\n \nresearch question: how well does such a system work with a commodity setup - for indoor and outdoor\nablation studies for indoor (more controlled environment) and outdoor, as well as RGB or RGB+IR++", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 332, "image_height": 332, "name": "steinheber-2024-oto-image.png", "type": "image/png", "size": 212356, "path": "Publication:steinheber-2024-oto", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinheber-2024-oto/steinheber-2024-oto-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinheber-2024-oto/steinheber-2024-oto-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5354 ], "date_end": "2025-02-19", "date_start": "2024-04-19", "matrikelnr": "12022506", "note": "1", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "plants", "health monitoring", "computer vision" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 332, "image_height": 332, "name": "steinheber-2024-oto-image.png", "type": "image/png", "size": 212356, "path": "Publication:steinheber-2024-oto", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinheber-2024-oto/steinheber-2024-oto-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinheber-2024-oto/steinheber-2024-oto-image:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinheber-2024-oto/", "__class": "Publication" }, { "id": "elagabani-2025-ieh", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Implementierung eines Hybrid Renderers in Rust unter Verwendung einer Forward+ Pipeline", "date": "2025-02-03", "abstract": "In this thesis, we explore the topic of hybrid rendering, which combines rasterization and\nray tracing to produce high-fidelity images. While rasterization has been the primary\nrendering technique for real-time applications for decades, it struggles with producing\naccurate lighting effects because of its nature of processing each primitive in isolation.\nRay tracing has gained in popularity in recent years due to its ability to produce\naccurate lighting effects, which is one of the primary contributors to perceived visual\nfidelity. Achieving real-time performance with an entirely ray tracing-based renderer is\nchallenging because of the high number of rays required to produce images. This has\nmotivated the development of renderers that use rasterization as the primary rendering\ntechnique and ray tracing for producing lighting effects.\nThe goal of this thesis is to showcase the usage of a forward+ pipeline to build a hybrid\nrenderer utilizing the hardware acceleration of the graphics card for ray tracing tasks.\nTo this end, we build a rendering engine that implements ray-traced hard shadows and\nexplore methods that reduce the number of shadow rays. Shadow ray culling based on\nthe angle of the surface normal with the ray direction and tile-based light culling are the\ntwo methods implemented in this work. The results have shown a performance uplift of\n39% with the improvements presented in this thesis.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1103, "image_height": 1072, "name": "elagabani-2025-ieh-image.PNG", "type": "image/png", "size": 446531, "path": "Publication:elagabani-2025-ieh", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/elagabani-2025-ieh/elagabani-2025-ieh-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/elagabani-2025-ieh/elagabani-2025-ieh-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5440 ], "date_end": "2025-02", "date_start": "2024-02", "matrikelnr": "12022518", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "bachelor-thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "elagabani-2025-ieh-bachelor-thesis.pdf", "type": "application/pdf", "size": 8354283, "path": "Publication:elagabani-2025-ieh", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/elagabani-2025-ieh/elagabani-2025-ieh-bachelor-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/elagabani-2025-ieh/elagabani-2025-ieh-bachelor-thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1103, "image_height": 1072, "name": "elagabani-2025-ieh-image.PNG", "type": "image/png", "size": 446531, "path": "Publication:elagabani-2025-ieh", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/elagabani-2025-ieh/elagabani-2025-ieh-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/elagabani-2025-ieh/elagabani-2025-ieh-image:thumb{{size}}.png" } ], "projects_workgroups": [ "abteilung" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/elagabani-2025-ieh/", "__class": "Publication" }, { "id": "ehlers-2025-ait", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/208050", "title": "An introduction to and survey of biological network visualization", "date": "2025-02", "abstract": "Biological networks describe complex relationships in biological systems, which represent biological entities as vertices and their underlying connectivity as edges. Ideally, for a complete analysis of such systems, domain experts need to visually integrate multiple sources of heterogeneous data, and visually, as well as numerically, probe said data in order to explore or validate (mechanistic) hypotheses. Such visual analyses require the coming together of biological domain experts, bioinformaticians, as well as network scientists to create useful visualization tools. Owing to the underlying graph data becoming ever larger and more complex, the visual representation of such biological networks has become challenging in its own right. This introduction and survey aims to describe the current state of biological network visualization in order to identify scientific gaps for visualization experts, network scientists, bioinformaticians, and domain experts, such as biologists, or biochemists, alike. Specifically, we revisit the classic visualization pipeline, upon which we base this paper’s taxonomy and structure, which in turn forms the basis of our literature classification. This pipeline describes the process of visualizing data, starting with the raw data itself, through the construction of data tables, to the actual creation of visual structures and views, as a function of task-driven user interaction. Literature was systematically surveyed using API-driven querying where possible, and the collected papers were manually read and categorized based on the identified sub-components of this visualization pipeline’s individual steps. From this survey, we highlight a number of exemplary visualization tools from multiple biological sub-domains in order to explore how they adapt these discussed techniques and why. Additionally, this taxonomic classification of the collected set of papers allows us to identify existing gaps in biological network visualization practices. We finally conclude this report with a list of open challenges and potential research directions. Examples of such gaps include (i) the overabundance of visualization tools using schematic or straight-line node-link diagrams, despite the availability of powerful alternatives, or (ii) the lack of visualization tools that also integrate more advanced network analysis techniques beyond basic graph descriptive statistics.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1850, 5426, 1249, 1579, 5427, 5428, 5251, 1464 ], "articleno": "104115", "doi": "10.1016/j.cag.2024.104115", "issn": "1873-7684", "journal": "COMPUTERS & GRAPHICS-UK", "pages": "31", "publisher": "PERGAMON-ELSEVIER SCIENCE LTD", "volume": "126", "research_areas": [ "BioVis", "NetVis" ], "keywords": [ "Network visualization", "Visualization pipeline", "Sensemaking loop", "Visual analytics", "Network analysis", "Biological networks", "State-of-the-art-report" ], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ehlers-2025-ait/", "__class": "Publication" }, { "id": "musleh-2024-conan", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/205807", "title": "ConAn: Measuring and Evaluating User Confidence in Visual Data Analysis Under Uncertainty", "date": "2025-02", "abstract": "User confidence plays an important role in guided visual data analysis scenarios, especially when uncertainty is involved in the analytical process. However, measuring confidence in practical scenarios remains an open challenge, as previous work relies primarily on self-reporting methods. In this work, we propose a quantitative approach to measure user confidence—as opposed to trust—in an analytical scenario. We do so by exploiting the respective user interaction provenance graph and examining the impact of guidance using a set of network metrics. We assess the usefulness of our proposed metrics through a user study that correlates results obtained from self-reported confidence assessments and our metrics—both with and without guidance. The results suggest that our metrics improve the evaluation of user confidence compared to available approaches. In particular, we found a correlation between self-reported confidence and some of the proposed provenance network metrics. The quantitative results, though, do not show a statistically significant impact of the guidance on user confidence. An additional descriptive analysis suggests that guidance could impact users' confidence and that the qualitative analysis of the provenance network topology can provide a comprehensive view of changes in user confidence. Our results indicate that our proposed metrics and the provenance network graph representation support the evaluation of user confidence and, subsequently, the effective development of guidance in VA.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 8170, "image_height": 5961, "name": "musleh-2024-conan-.png", "type": "image/png", "size": 9874701, "path": "Publication:musleh-2024-conan", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/musleh-2024-conan/musleh-2024-conan-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/musleh-2024-conan/musleh-2024-conan-:thumb{{size}}.png" }, "sync_repositum_override": "date,projects,articleno,event,number,volume", "repositum_presentation_id": null, "authors": [ 1867, 5418, 1850, 1410 ], "articleno": "e15272", "doi": "10.1111/cgf.15272", "event": "EuroVis 2025", "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "1", "open_access": "yes", "pages": "18", "publisher": "WILEY", "volume": "44", "research_areas": [], "keywords": [ "decision making", "uncertainty", "user confidence", "visual analytics", "guided visual data analysis" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 8170, "image_height": 5961, "name": "musleh-2024-conan-.png", "type": "image/png", "size": 9874701, "path": "Publication:musleh-2024-conan", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/musleh-2024-conan/musleh-2024-conan-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/musleh-2024-conan/musleh-2024-conan-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/musleh-2024-conan/", "__class": "Publication" }, { "id": "ohrhallinger-2025-tsd", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/213240", "title": "The Sampling-Reconstruction Dual", "date": "2025-02", "abstract": "Reconstructing surfaces of the real world from scans is an important and challenging problem. Its feasibility is limited by the number of the acquired points and their geometric configuration. The question of how many points exactly are required for the faithful reconstruction of the features leads to its inverse problem, sampling a known surface with the least possible number of points.\r\n \r\nThis talk is about reconstruction algorithms and attempts to prove their theoretical bounds in the number of points required and its dual, sampling curves (as their simpler 2D equivalent) and surfaces with specified bounds from different representations such as meshes, smooth higher-order boundaries, subdivision limit surfaces, and signed distance functions, depending on the application, e.g., lossless reduction of scanned data size, measuring scan error, handling scan artifacts such as noise, outliers, and holes, or secondary goals such as accelerating simulations.\r\n \r\nThe underlying assumption is that the smooth surface (reconstructed, or sampled) is richer than the sparse discrete set of geometric primitives (points + connectivity) it is represented with, leading to the goal of representing object boundaries, e.g., from the physical world, with the least amount of geometry.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948 ], "date_from": "2025-01-13", "date_to": "2025-02-14", "event": "Infinite-dimensional Geometry: Theory and Applications", "lecturer": [ 948 ], "research_areas": [], "keywords": [ "surface reconstruction", "sampling" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ohrhallinger-2025-tsd/", "__class": "Publication" }, { "id": "peischl-2025-ipo", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/213937", "title": "Investigating the Propagation of CT Acquisition Artifacts along the Medical Imaging Pipeline", "date": "2025-02", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5454, 1410 ], "booktitle": "Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - (Volume 1)", "date_from": "2025-02-26", "date_to": "2025-03-28", "doi": "10.5220/0013254200003912", "event": "IVAPP 2025 - Part of VISIGRAPP, the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.", "isbn": "978-989-758-728-3", "lecturer": [ 5454 ], "location": "Porto", "pages": "13", "pages_from": "752", "pages_to": "764", "research_areas": [], "keywords": [ "Biomedical Visualization and Applications", "Uncertainty Visualization", "Visual Analytics" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/peischl-2025-ipo/", "__class": "Publication" }, { "id": "marin-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/215385", "title": "Proximity-Based Point Cloud Reconstruction", "date": "2025-02", "abstract": "Extrapolating information from incomplete data is a key human skill, enabling us to inferpatterns and make predictions from limited observations. A prime example is our ability to perceive coherent shapes from seemingly random point sets, a key aspect of cognition.However, data reconstruction becomes challenging when no predefined rules exist, as it is unclear how to connect the data or infer patterns. In computer graphics, a major goal isto replicate this human ability by developing algorithms that can accurately reconstruct original structures or extract meaningful information from raw, disconnected data.The contributions of this thesis deal with point cloud reconstruction, leveraging proximity-based methods, with a particular focus on a specific proximity-encoding data structure -the spheres-of-influence graph (SIG). We discuss curve reconstruction, where we automate the game of connecting the dots to create contours, providing theoretical guarantees for our method. We obtain the best results compared to similar methods for manifold curves. We extend our curve reconstruction to manifolds, overcoming the challenges of moving to different domains, and extending our theoreticalguarantees. We are able to reconstruct curves from sparser inputs compared to the state-of-the-art, and we explorevarious settings in which these curves can live. We investigate the properties of the SIGas a parameter-free proximity encoding structure of three-dimensional point clouds. We introduce new spatial bounds for the SIG neighbors as a theoretical contribution. We analyze how close the encoding is to the ground truth surface compared to the commonly used kNN graphs, and we evaluate our performance in the context of normal estimationas an application. Lastly, we introduce SING – a stability-incorporated neighborhood graph, a useful tool with various applications, such as clustering, and with a strong theoretical background in topological data analysis.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2012, "image_height": 1035, "name": "marin-thesis-Teaser.png", "type": "image/png", "size": 599974, "path": "Publication:marin-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/marin-thesis-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/marin-thesis-Teaser:thumb{{size}}.png" }, "sync_repositum_override": "access,date", "repositum_presentation_id": null, "authors": [ 1848 ], "ac_number": "AC17518474", "co_supervisor": [ 948 ], "date_end": "2025-02", "date_start": "2021-09", "doi": "10.34726/hss.2025.128668", "duration": "3 years", "open_access": "yes", "pages": "141", "reviewer_1": [ 1510 ], "reviewer_2": [ 1243 ], "rigorosum": "2025-02-13", "supervisor": [ 193 ], "research_areas": [], "keywords": [ "point clouds", "reconstruction", "proximity graphs", "curve reconstruction", "clustering", "geometry processing" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Curve Examples", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2080, "image_height": 653, "name": "marin-thesis-Curve Examples.png", "type": "image/png", "size": 170210, "path": "Publication:marin-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/marin-thesis-Curve Examples.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/marin-thesis-Curve Examples:thumb{{size}}.png" }, { "description": null, "filetitle": "Possible Reconstructions", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2078, "image_height": 678, "name": "marin-thesis-Possible Reconstructions.png", "type": "image/png", "size": 118537, "path": "Publication:marin-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/marin-thesis-Possible Reconstructions.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/marin-thesis-Possible Reconstructions:thumb{{size}}.png" }, { "description": null, "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2012, "image_height": 1035, "name": "marin-thesis-Teaser.png", "type": "image/png", "size": 599974, "path": "Publication:marin-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/marin-thesis-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/marin-thesis-Teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "marin-thesis-thesis.pdf", "type": "application/pdf", "size": 39191621, "path": "Publication:marin-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/marin-thesis-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/marin-thesis-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/", "__class": "Publication" }, { "id": "holzer-edo", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Enhancing Dashboard Onboarding via LLMs", "date": "2025-01-03", "abstract": "Data visualization offers powerful insights that drive better decision-making, but its\ninherent complexity can often be challenging. To understand these visualizations, an\neffective onboarding process is essential, providing clear guidance on the purpose and\nfunctionality of visualizations for users of all experience levels. Traditional onboarding\napproaches, such as static tutorials, frequently fall short in addressing the unique needs\nof diverse users, leading to confusion and inefficiency. This thesis presents an innovative\nonboarding solution powered by Large Language Models (LLMs), designed to provide\npersonalized, context-aware assistance that adapts dynamically to each user.\nOur approach harnesses the capabilities of prompt engineering, adaptive sequencing, and\nconversational interactions to create a dynamic, engaging onboarding experience. Key\nfeatures include custom prompts to clarify complex visual elements, adaptive sequencing\nthat responds to user behavior, and tailored narratives that adjust to users’ expertise\nlevels. We implemented these features into a prototype system, powered by Llama 3.1\nand ChatGPT 4o, to provide real-time, responsive assistance.\nBy transforming dashboards into more approachable tools, this work makes data visualization\naccessible to a wider audience, ultimately enhancing the way users interact with\nand extract insights from complex data.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1459, "image_height": 853, "name": "holzer-edo-image.PNG", "type": "image/png", "size": 251472, "path": "Publication:holzer-edo", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/holzer-edo/holzer-edo-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/holzer-edo/holzer-edo-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5432 ], "date_end": "2025-01", "date_start": "2024-02", "matrikelnr": "12028208", "supervisor": [ 1892 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1459, "image_height": 853, "name": "holzer-edo-image.PNG", "type": "image/png", "size": 251472, "path": "Publication:holzer-edo", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/holzer-edo/holzer-edo-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/holzer-edo/holzer-edo-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis-bachelor", "main_file": false, "use_in_gallery": false, "access": "public", "name": "holzer-edo-thesis-bachelor.pdf", "type": "application/pdf", "size": 3829629, "path": "Publication:holzer-edo", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/holzer-edo/holzer-edo-thesis-bachelor.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/holzer-edo/holzer-edo-thesis-bachelor:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/holzer-edo/", "__class": "Publication" }, { "id": "walch-2025-bemtrace", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/210140", "title": "BEMTrace: Visualization-driven approach for deriving Building Energy Models from BIM", "date": "2025-01", "abstract": "Building Information Modeling (BIM) describes a central data pool covering the entire life cycle of a construction project. Similarly, Building Energy Modeling (BEM) describes the process of using a 3D representation of a building as a basis for thermal simulations to assess the building's energy performance. This paper explores the intersection of BIM and BEM, focusing on the challenges and methodologies in converting BIM data into BEM representations for energy performance analysis. BEMTrace integrates 3D data wrangling techniques with visualization methodologies to enhance the accuracy and traceability of the BIM-to-BEM conversion process. Through parsing, error detection, and algorithmic correction of BIM data, our methods generate valid BEM models suitable for energy simulation. Visualization techniques provide transparent insights into the conversion process, aiding error identifcation, validation, and user comprehension. We introduce context-adaptive selections to facilitate user interaction and to show that the BEMTrace workfow helps users understand complex 3D data wrangling processes.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1494, 1002, 1387, 1277, 166, 950 ], "doi": "10.1109/TVCG.2024.3456315", "issn": "1941-0506", "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "1", "pages": "11", "pages_from": "240", "pages_to": "250", "publisher": "IEEE COMPUTER SOC", "volume": "31", "research_areas": [], "keywords": [ "Solid modeling", "Data visualization", "Three-dimensional displays", "Data models", "Buildings", "Computational modeling", "Object oriented modeling", "BIM", "BEM", "BIM-to-BEM", "3D Data Wrangling", "3D selections", "Visualization for trust building" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/walch-2025-bemtrace/", "__class": "Publication" }, { "id": "dhanoa-2025-dsg", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/209410", "title": "D-Tour: semi-automatic generation of interactive guided tours for visualization dashboard onboarding", "date": "2025-01", "abstract": "Onboarding a user to a visualization dashboard entails explaining its various components, including the chart types used, the data loaded, and the interactions available. Authoring such an onboarding experience is time-consuming and requires significant knowledge and little guidance on how best to complete this task. Depending on their levels of expertise, end users being onboarded to a new dashboard can be either confused and overwhelmed or disinterested and disengaged. We propose interactive dashboard tours (D-Tours) as semi-automated onboarding experiences that preserve the agency of users with various levels of expertise to keep them interested and engaged. Our interactive tours concept draws from open-world game design to give the user freedom in choosing their path through onboarding. We have implemented the concept in a tool called D-TOUR PROTOTYPE, which allows authors to craft custom interactive dashboard tours from scratch or using automatic templates. Automatically generated tours can still be customized to use different media (e.g., video, audio, and highlighting) or new narratives to produce an onboarding experience tailored to an individual user. We demonstrate the usefulness of interactive dashboard tours through use cases and expert interviews. Our evaluation shows that authors found the automation in the D-Tour Prototype helpful and time-saving, and users found the created tours engaging and intuitive. This paper and all supplemental materials are available at https://osf.io/6fbjp/.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1892, 1895, 5433, 5434, 166, 1896 ], "doi": "10.1109/TVCG.2024.3456347", "issn": "1941-0506", "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "1", "open_access": "yes", "pages": "11", "pages_from": "721", "pages_to": "731", "publisher": "IEEE COMPUTER SOC", "volume": "31", "research_areas": [], "keywords": [ "Dashboards", "interactive tours", "onboarding", "open-world games", "storytelling", "tutorial" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "dhanoa-2025-dsg-paper.pdf", "type": "application/pdf", "size": 685599, "path": "Publication:dhanoa-2025-dsg", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/dhanoa-2025-dsg/dhanoa-2025-dsg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/dhanoa-2025-dsg/dhanoa-2025-dsg-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/dhanoa-2025-dsg/", "__class": "Publication" }, { "id": "steinschorn-2025-par", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "SPSR Parameter determined by Neural Network", "date": "2025-01", "abstract": "In ’Parameter Optimization for Surface Reconstruction’ we tested different parameter optimization methods to find the most accurate and fast way to find optimal parameters for longer-running tasks that cannot be exhaustively tested. One strategy that we did not test is using machine learning to solve this problem. If it is possible to train a neural network to determine close-to-optimal parameters for a given task, then that would certainly be faster than all the other tested solutions. For this report, we generated training data for the problem of reconstructing meshes from point clouds using Screened Poisson Surface Reconstruction. We used ParamILS for this, and then tested two different networks to see if this is achievable. We describe our strategy for this, present our results, and discuss the encountered problems.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1757 ], "date_end": "2025-01", "date_start": "2023-10", "matrikelnr": "1227109", "supervisor": [ 1395 ], "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "Deep Learning", "Surface Reconstruction", "Parameter Optimization", "Screened Poisson Surface Reconstruction" ], "weblinks": [ { "href": "https://github.com/thefloff/ppsurf_param_opt", "caption": "Repo", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "steinschorn-2025-par-report.pdf", "type": "application/pdf", "size": 461075, "path": "Publication:steinschorn-2025-par", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-par/steinschorn-2025-par-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-par/steinschorn-2025-par-report:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-par/", "__class": "Publication" }, { "id": "schindler-2025-ssm", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/216205", "title": "Shape shifting : a multiscale optimal transport approach to 3D point cloud comparison", "date": "2025", "abstract": "Advances in measurement technologies and 3D vision have significantly enhanced the speed and precision with which real-world objects and landscapes can be captured and reconstructed. These virtual reconstructions are relevant for surveying applications and are often encoded as point clouds, i.e., a set of 3D coordinates, possibly accompanied by additional attributes like colors or normals. Often, reconstructions of objects or landscapes are acquired over time to monitor their changes. Intuitive visualization that allows one to comprehend the shifts over time in such reconstructions could be of help, but the vast size of the data imposes challenges on comparative visualization pipelines. On the other hand, it is simpler than ever to amass numerous reconstructions of real-world objects, even for novice users. Still, outside of computationally intensive algorithms tailored to applications for the medical domain, there is a gap in approaches that allow for comparing differences within ensembles of shapes. Available algorithms outside of medicine are built upon nearest neighbor queries, which do not scale well to complex shapes and lack guidance for the comparison. Extensive ensembles of spatial data need to be delivered in a structured way to avoid time-intensive manual ordering when there is no chronological ordering implied or known. We designed and implemented a framework to support the comparative visualization of ensembles of point clouds. By utilizing the mature mathematical framework of optimal transport, we circumvent shortcomings of commonly employed nearest neighbor-based approaches and allow our method to compare a whole ensemble of reconstructions in a comprehensive representation. If there is no inherent ordering, our method enables the automatic arrangement of individual point clouds, establishing their relationships and simplifying the analysis process. We derive additional metrics about the whole ensemble, which are then used to enrich the visualization and help to detect patterns of variation within the data. By leveraging fast GPU-based implementations, we enable a smooth transition between displayed point clouds in an animation and offer visual aids that highlight the characteristics of each shape and how these change. Our method processes the data fast and provides comprehensive means to browse through a large ensemble of point clouds.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1760 ], "ac_number": "AC17561836", "doi": "10.34726/hss.2025.123620", "open_access": "yes", "pages": "129", "supervisor": [ 1410 ], "research_areas": [], "keywords": [ "Comparative Visualization", "Point Clouds", "Optimal Transport", "Visual Shape Analytics", "Ensemble Visualization", "Shape Space", "Animation", "Rendering", "Earth Mover's Distance" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "schindler-2025-ssm-thesis.pdf", "type": "application/pdf", "size": 5753321, "path": "Publication:schindler-2025-ssm", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schindler-2025-ssm/schindler-2025-ssm-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/schindler-2025-ssm/schindler-2025-ssm-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schindler-2025-ssm/", "__class": "Publication" }, { "id": "stoff-2025-pvu", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/209541", "title": "Prototypical Visualization: Using Prototypical Networks for Visualizing Large Unstructured Data", "date": "2025", "abstract": "Making sense of data is something that many professionals are required to do on a daily basis. This can be a difficult task if the amount of data is so large that it can not be easily examined. One effective method of quickly getting an overview of data structure is visualization, but this is not always a feasible solution with large data due to the sheer amount of data and also the potentially high dimensionality. Machine learning models can help with with the organization and classification of data, but they often require large quantities of labeled training data, which is frequently not readily available. This is why models that can reliably classify data based on only few examples for each class are an interesting topic of research. One such kind of model are prototypical networks. They utilize few samples to create an embedding space in fewer dimensions, in which similar data points cluster around a single class prototype. In this thesis, we investigate if the embedding space of a prototypical network makes for a good approach for the purpose of visualizing high-dimensional, unstructured data. The goal is to reduce the dimensionality of the data in such a way that the highdimensional relations and structures between data points are preserved, resulting in 2D representations of the data that form coherent class clusters in a scatter plot visualization. This approach is compared with, and evaluated against, other well known supervised and unsupervised dimensionality reduction techniques. Through quantitative experiments relying on statistical measures, as well as a qualitative evaluation of our results, we find that our ProtoNet is capable of producing point embeddings in which the spatial separation of classes is as good or better than the other methods.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1865 ], "ac_number": "AC17416388", "doi": "10.34726/hss.2025.119321", "open_access": "yes", "pages": "62", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [ "Dimensionality Reduction", "Data Visualization", "Prototypical Network", "ProtoNet", "Class Separation", "Scatter Plot" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "stoff-2025-pvu-thesis.pdf", "type": "application/pdf", "size": 1529952, "path": "Publication:stoff-2025-pvu", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/stoff-2025-pvu/stoff-2025-pvu-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/stoff-2025-pvu/stoff-2025-pvu-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "d9282" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/stoff-2025-pvu/", "__class": "Publication" }, { "id": "tretyak-2025-tmv", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/216548", "title": "Tactical Medicine VR Training", "date": "2025", "abstract": "This thesis presents the design, implementation, and evaluation of a virtual reality (VR) training simulation for tactical medicine, developed using Unity and optimized for the Meta Quest 3 headset. The system recreates a high-stress scenario inspired by realworld knife attack incidents and integrates hand tracking for natural interaction. The training focuses on triage, bleeding control, and communication with injured patients and bystanders. A qualitative user study involving ten participants with prior first aid or tactical medical experience was conducted to evaluate three research questions: (1) whether realistic scenario design affects perceived stress and immersion, (2) how different interaction methods (hand tracking vs. controllers) impact usability, and (3) whether users view VR as a complement or replacement for traditional training. Thematic analysis of the interviews revealed that realistic audio-visual cues increase immersion, but do not necessarily heighten stress. Hand tracking was perceived as more intuitive, though limited by technical constraints. Participants overwhelmingly saw VR as a valuable supplement to—but not a substitute for—physical training. The findings highlight VR’s potential for scalable, immersive, and safe training solutions in emergency medicine.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5476 ], "ac_number": "AC17569175", "doi": "10.34726/hss.2025.127193", "open_access": "yes", "pages": "93", "supervisor": [ 166 ], "research_areas": [], "keywords": [ "Virtual Reality", "Tactical Medicine", "Training" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "tretyak-2025-tmv-thesis.pdf", "type": "application/pdf", "size": 5183792, "path": "Publication:tretyak-2025-tmv", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/tretyak-2025-tmv/tretyak-2025-tmv-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/tretyak-2025-tmv/tretyak-2025-tmv-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/tretyak-2025-tmv/", "__class": "Publication" }, { "id": "ulschmid-2025-apc", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/215609", "title": "Automated Prioritization for Context-Aware Re-rendering in Editing", "date": "2025", "abstract": "Real-time Monte Carlo path tracing has become a feasible option for interactive 3D scene editing due to recent advancements in GPU ray tracing performance, as well as (AI-accelerated) denoising techniques. While it is thus gaining increasing support in popular modeling software, even minor edits such as adjusting materials or moving small objects typically require current solutions to discard previous samples and restart the image formation process from scratch. A recent solution introduced two adaptive, priority-based re-rendering techniques implementing incremental updates while focusing first on reconstructing regions of high importance and gradually addressing less critical areas. An extensive user study compared these prioritized renderings with conventional same-time re-rendering to evaluate their effectiveness for interactive scene editing. Results indicate a significant preference for incremental rendering techniques for editing small objects over traditional full-screen re-rendering with denoising, even with basic priority policies. Building upon these results, we revisit the underlying design choices and derive more sophisticated priority policies that respect global illumination effects (shadows and reflections) as well as employing attention-based techniques (based either on eye tracking to prioritize areas in the user’s gaze or, alternatively, using the cursor position).", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1501, "image_height": 930, "name": "ulschmid-2025-apc-image.webp", "type": "image/webp", "size": 91268, "path": "Publication:ulschmid-2025-apc", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-image.webp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1954, 1030, 193, 1650 ], "ac_number": "AC17528723", "articleno": "353", "doi": "10.1007/s42979-025-03863-z", "issn": "2661-8907", "journal": "SN Computer Science", "number": "2025", "open_access": "yes", "pages": "14", "publisher": "Springer Nature", "volume": "6", "research_areas": [ "Rendering" ], "keywords": [ "Path Tracing", "Scene editing", "Adaptive rendering", "empirical studies" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/Prioritized-ReRendering", "caption": "GitHub", "description": "GitHub", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1501, "image_height": 930, "name": "ulschmid-2025-apc-image.webp", "type": "image/webp", "size": 91268, "path": "Publication:ulschmid-2025-apc", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-image.webp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ulschmid-2025-apc-paper.pdf", "type": "application/pdf", "size": 1866148, "path": "Publication:ulschmid-2025-apc", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314", "d9275" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/", "__class": "Publication" }, { "id": "unterguggenberger-phdthesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/215967", "title": "Schnelles Rendern hochdetailierter Geometrie in Echtzeit mit modernen GPUs", "date": "2025", "abstract": "Rasterization-based graphics pipelines are still essential for rendering today’s real-time rendering applications and games. We generally see high demand for efficient rasterization-based rendering techniques. With alternative approaches, such as hardware-accelerated ray tracing, it remains challenging to render more than 60 frames per second (FPS) for many real-time applications across different GPU models, or more than 90 FPS in stereo as often demanded for a smooth experience in Virtual Reality (VR) applications.In recent years, some trends emerged which put pressure on rasterization-based graphics pipelines with high geometry loads. One of these trends is VR rendering, which sometimes not only requires rendering a given scene faster and two times in every frame but some applications or settings require even more than two views to be rendered for the creation of one single frame. Another trend was mainly initiated by Epic Games’ Nanite technology, which enables the rendering of static meshes with sub-pixel geometric detail in real time. As a consequence, skinned models and other scene objects might well be expected to be rendered in similar geometric detail, increasing the geometry load even further.With this dissertation, we contribute fundamental methods and evaluations to high geometry-load scenarios in the context of real-time rendering using rasterization-based graphics pipelines to help reach the performance or quality requirements of modern real-time rendering applications and games:We contribute an in-depth analysis of the state of the art in multi-view rendering and introduce geometry shader-based pipeline variants that can help to improve compatibility and performance in challenging multi-view rendering scenarios. We describe a fundamental approach for artifact-free culling when rendering animated 3D models divided into clusters for ultra-detailed geometry scenarios. With our approach, also parts of skinned models can be culled in a fine-grained manner to match Nanite’s fine-grained culling of static clusters. In contrast to static meshes, finding conservative bounds for clusters of animated meshes is non-trivial, but is achieved with our approach. Finally, in order to render other scene objects—such as, e.g., items or generally shapes which can be described with a parametric function—in similar geometric detail, we describe a method to generate ultra-detailed geometry on the fly: After compute shader-based level of detail (LOD) determination, the resulting parametrically defined shapes are either rendered point-wise or geometry is generated on-chip using the hardware tessellator.In our research, we regard new technological developments such as hardware-accelerated multi-view rendering, new task and mesh shader stages, efficient usage of classical shader stages (such as tessellation shaders), and generally efficient usage of the vast set of features, stages, and peculiarities of modern GPUs, with the goal to accelerate real-time rendering of ultra-detailed geometry.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 848 ], "ac_number": "AC17547083", "date_end": "2025-04", "date_start": "2017-01", "doi": "10.34726/hss.2025.132181", "open_access": "yes", "pages": "135", "reviewer_1": [ 1327 ], "reviewer_2": [ 198 ], "rigorosum": "2025-04-10", "supervisor": [ 193 ], "research_areas": [], "keywords": [ "real-time rendering", "GPUs", "levels of detail" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "unterguggenberger-phdthesis-thesis.pdf", "type": "application/pdf", "size": 3031338, "path": "Publication:unterguggenberger-phdthesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/unterguggenberger-phdthesis/unterguggenberger-phdthesis-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/unterguggenberger-phdthesis/unterguggenberger-phdthesis-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/unterguggenberger-phdthesis/", "__class": "Publication" }, { "id": "huber-2025-esl", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/213932", "title": "Exploring Seated Locomotion Techniques in Virtual Reality for People with Limited Mobility", "date": "2025", "abstract": "Virtual reality (VR) is often designed as a standing experience, excluding individuals with limited mobility. Given that a significant portion of the population experiences lower-body mobility restrictions, accessible VR locomotion must accommodate users without requiring lower-body movement. To build a comprehensive understanding of suitable locomotion techniques (LTs) for this demographic, it is crucial to evaluate the feasibility of various approaches in virtual environments (VEs). As a starting point, we present our evaluation approach and a user study on the feasibility and potential of selected LTs for accessible seated locomotion in VR. Our findings indicate that common LTs can be adapted for seated stationary VR. Teleportation-based techniques, in particular, stand out as viable options for accessible locomotion. Although our simulated wheelchair was less popular with non-disabled participants, it was well-received by wheelchair users and shows promise as an intuitive LT for (More)", "authors_et_al": false, "substitute": null, "main_image": { "description": "Different locomotion paths", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1041, "image_height": 571, "name": "huber-2025-esl-image.png", "type": "image/png", "size": 823835, "path": "Publication:huber-2025-esl", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/huber-2025-esl-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/huber-2025-esl-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5456, 5457, 1954, 5458, 5459, 378, 1030 ], "booktitle": "Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP", "date_from": "2025-02-26", "date_to": "2025-02-28", "event": "20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications", "isbn": "978-989-758-728-3", "lecturer": [ 5456 ], "location": "Porto", "pages": "13", "pages_from": "161", "pages_to": "173", "publisher": "SciTePress", "volume": "1", "research_areas": [ "Rendering", "VR" ], "keywords": [ "Virtual Reality", "Accessibility", "Locomotion", "User Study" ], "weblinks": [], "files": [ { "description": "Different locomotion paths", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1041, "image_height": 571, "name": "huber-2025-esl-image.png", "type": "image/png", "size": 823835, "path": "Publication:huber-2025-esl", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/huber-2025-esl-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/huber-2025-esl-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "huber-2025-esl-paper.pdf", "type": "application/pdf", "size": 7212099, "path": "Publication:huber-2025-esl", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/huber-2025-esl-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/huber-2025-esl-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/", "__class": "Publication" }, { "id": "kummer-2025-fvo-1", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/216906", "title": "Flattening-based visualization of supine breast MRI", "date": "2025", "abstract": "We propose two novel visualization methods optimized for supine breast images that “flatten” breast tissue, facilitating examination of larger tissue areas within each coronal slice. Breast cancer is the most frequently diagnosed cancer in women, and early lesion detection is crucial for reducing mortality. Supine breast magnetic resonance imaging (MRI) enables better lesion localization for image-guided interventions; however, traditional axial visualization is suboptimal because the tissue spreads over the chest wall, resulting in numerous fragmented slices that radiologists must scroll through during standard interpretation. Using a human-centered design approach, we incorporated user and expert feedback throughout the co-design and evaluation stages of our flattening methods. Our first proposed method, a surface-cutting approach, generates offset surfaces and flattens them independently using As-Rigid-As-Possible (ARAP) surface mesh parameterization. The second method uses a landmark-based warp to flatten the entire breast volume at once. While the surface-cutting approach is based on the parameterization of individual surfaces, the second method uses control points to realize a coherent, global deformation.Expert evaluations revealed that the surface-cutting method provides intuitive overviews and clear vascular detail, with low metric (2.1-3.5%) and area (3.7-5.8%) distortions. However, independent slice flattening can introduce depth distortions across layers. The landmark warp offers consistent slice alignment and supports direct annotations and measurements, with radiologists favoring it for its anatomical accuracy. Both methods significantly reduced the number of slices needed to review, highlighting their potential for time savings and clinical impact - an essential factor for adopting supine breast MRI.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5500 ], "ac_number": "AC17579320", "doi": "10.34726/hss.2025.122940", "open_access": "yes", "pages": "97", "supervisor": [ 1410 ], "research_areas": [], "keywords": [ "Image reformation", "volumetric parameterization", "medical visualization", "breast MRI", "radiology" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kummer-2025-fvo-1-thesis.pdf", "type": "application/pdf", "size": 3422153, "path": "Publication:kummer-2025-fvo-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kummer-2025-fvo-1/kummer-2025-fvo-1-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kummer-2025-fvo-1/kummer-2025-fvo-1-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kummer-2025-fvo-1/", "__class": "Publication" }, { "id": "Machegger2018DTI", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/215536", "title": "Evaluating the impact of parameter tuning on glioblastoma segmentation using deep learning", "date": "2025", "abstract": "Background: Glioblastoma multiforme (GBM) is the most aggressive form of brain cancer, characterized by rapid growth and infiltration into surrounding brain tissue. Precise segmentation of GBM, particularly the contrast-enhancing region and necrotic (non-contrast-enhaning) core, is critical for surgical planning and treatment. Manual segmentation methods are time-consuming and subject to high interrater variability, necessitating automated approaches for greater consistency.Objective: This thesis aims to optimize key parameters in deep learning-based segmentation of glioblastomas, focusing on the impact of Batch size, data augmentation strategies, and the number of training cases on model performance, along with tuning the Focal Weight Factor in the Combined Loss Function. The goal is to improve the accuracy of segmenting clinically relevant tumor regions.Methods: In this study, 3D U-Net models were trained using the BraTS Challenge dataset, which includes multimodal MRI scans (T1 post-contrast, FLAIR, and T2) with expert-labeled segmentations reviewed by a neuroradiologist to eliminate interrater variability. The models were evaluated on 108 unseen clinical cases from patients at the University Hospital Salzburg to assess their generalization capability and performance. Segmentation accuracy was measured using Intersection over Union (IoU) and a Custom Weighted Dice Score, focusing on Dice coefficients for the contrast-enhancing and non-contrast-enhancing tumor. Four Case Groups (80, 160, 240, and 314) were used to examine the effect of Case Group size on performance.Results: Models trained with Batch size of four consistently ranked among the top performers, with 80% making it into the top 10, suggesting that larger Batch sizes contribute to better generalization and stability as number of training cases increase. However, augmentations generally resulted in worse performance, except for one outlier—the best performing model—trained with a 1:1 ratio of augmentations to originals, Case Group 314, and a Batch size of one, which performed exceptionally well.Conclusion: Augmentations with a ratio of 1:3 performed poorly, particularly when three variants of one original were included in a Batch size of four, leading to overfitting. This suggests a lack of diversity within the batches caused the model to overfit, whereas a strategy mixing different augmentations within each batch led to better generalization. Case Group 314 models performed best, highlighting the importance of more training data for improved performance.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "access,title,abstract,date,keywords,supervisor", "repositum_presentation_id": null, "authors": [ 1485 ], "ac_number": "AC17524558", "co_supervisor": [ 1410 ], "date_end": "2018-01-31", "date_start": "2017-03-24", "doi": "10.34726/hss.2025.44861", "matrikelnr": "9900294", "open_access": "yes", "pages": "194", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [ "medical visualization", "diffusion tensor imaging" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Machegger2018DTI-thesis.pdf", "type": "application/pdf", "size": 6647846, "path": "Publication:Machegger2018DTI", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Machegger2018DTI/Machegger2018DTI-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/Machegger2018DTI/Machegger2018DTI-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Machegger2018DTI/", "__class": "Publication" }, { "id": "grexova-2025-dva", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/220303", "title": "Designing a visual analysis pipeline for exploring TMS effects on heart rate", "date": "2025", "abstract": "We designed a highly flexible notebook-based visual analysis pipeline to explore Transcranial Magnetic Stimulation (TMS) and heart rate (HR) in different subjects’ cognitive states. TMS is a promising treatment of major depressive disorder not responsive to pharmacological treatment. However, the mechanism of action is not yet fully understood. The research in the best acquiring settings, such as stimulation intensities and target sites, is emerging. Multimodal analysis pipeline integrating TMS, Functional Magnetic Resonance Imaging (fMRI), and HR could shed light on both understanding the neural pathways and increasing the efficiency of TMS. To extend the already available concurrent TMS-fMRI analysis pipeline towards multimodal concurrent TMS-fMRI-HR, exploring the effect of TMS on HR is the next step. To design the visual analysis pipeline, we introduce and apply an extension of Data–Users–Tasks design triangle [Miksch and Aigner, 2014] by integrating the previous data workflow approach in the designing process. When the data processing workflow in the domain is only evolving, integrating the previous workflow approach into the design process benefits by respecting the data legacy, supports users’ adaptability, and ensures tasks’ compatibility. We refer to this framework as the Data–Users–Workflow-Tasks design pyramid. We subsequently provide a visual analysis pipeline to support data exploration in the early stages of research. The interactive preprocessing pipeline involves extracting data, handling missing data, and reducing noise. To compare time series of HR with different properties, we visualize Dynamic Time Warping (DTW) similarity measurement, and heart rate variability (HRV) metric clustering. We quantitatively evaluate the preprocessing steps using simulated ECG data. The key result is that linear and polynomial interpolation with root mean squared error (RMSE) values as low as to the power of -3 and -5, respectively, are especially effective as imputation methods for ECG with 400 Hz sampling frequency. To further assess the values of the usage scenarios for TMS and ECG data exploration, we employ Qualitative Result Inspection (QRI). Our proposed visual analysis pipeline assembles the first steps towards integrating TMS-HR analysis into a trimodal concurrent TMS-fMRI-HR approach.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5575 ], "ac_number": "AC17679434", "doi": "10.34726/hss.2025.126782", "open_access": "yes", "pages": "87", "supervisor": [ 1410 ], "research_areas": [], "keywords": [ "Visual Analysis Pipeline", "NCG-TMS", "Data-Users-Tasks Design Triangle", "Data-Users-Workflow-Tasks Design Pyramid" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "grexova-2025-dva-thesis.pdf", "type": "application/pdf", "size": 4489654, "path": "Publication:grexova-2025-dva", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/grexova-2025-dva/grexova-2025-dva-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/grexova-2025-dva/grexova-2025-dva-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/grexova-2025-dva/", "__class": "Publication" }, { "id": "haeusle-2025-uup", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/220329", "title": "Unraveling uncertainty propagation in the medical visualization pipeline", "date": "2025", "abstract": "Quantifying, raising awareness, and visualizing uncertainty stand as challenges in data visualization, especially in critical application domains such as medicine. Medical diagnosis and following treatment are always based on human decision-making, which itself is prone to uncertainty due to subjectivity or perception. Furthermore, decisions are often taken by analyzing measurements or images, which themselves are affected by uncertainty, caused by effects such as noise or resolution limitations. Thus, the whole process of diagnosis in clinical environments is concerned with interwoven uncertainties that accumulate and may change a pipeline's result substantially, potentially with detrimental effects on the patient's health, if uncertainties are not considered. This work aims to contribute to unraveling the complex interplay of uncertainties within the medical visualization pipeline. We do so by investigating the complex phenomena of uncertainty propagation in the medical visualization pipeline, in combination with extracting and analyzing provenance information from the pipeline encapsulated in an interactive framework. As a consequence, we utilize the provenance information, which can be seen as a complete history of the pipeline, to compare uncertainty propagation results of distinct pipeline states and thus gain insights into the behavior of uncertainty. In order to demonstrate the conceptual effectiveness of the framework, meaningful usage scenarios are presented. Those lay out simple and more complex scenarios to analyze the behavior and impact of different sorts of parameters present in the pipeline. Furthermore, we present ways in which a user can express their uncertainty for certain image regions or parameters and thereby gain insights into the impact of the specified uncertainties. The usage scenarios emphasize both positive and negative aspects of the framework and thus provide users with the means to assess the underlying work independently.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5574 ], "ac_number": "AC17679808", "doi": "10.34726/hss.2025.129144", "open_access": "yes", "pages": "128", "supervisor": [ 1410 ], "research_areas": [], "keywords": [ "Uncertainty Propagation", "Uncertainty", "Visualization Pipeline", "Medical Visualization Pipeline", "Provenance", "Parameter Sensitivity Analysis", "Monte Carlo Methods" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "haeusle-2025-uup-thesis.pdf", "type": "application/pdf", "size": 10648509, "path": "Publication:haeusle-2025-uup", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/haeusle-2025-uup/haeusle-2025-uup-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/haeusle-2025-uup/haeusle-2025-uup-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/haeusle-2025-uup/", "__class": "Publication" }, { "id": "amabili-2025-lpb", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/216591", "title": "Leveraging Popular Board Games to Teach Data Visualization", "date": "2025", "abstract": "To address the challenges in visualization education—particularly in motivating and engaging students—we propose the conceptual adaptation of popular board games into educational data visualization games. We present five unique adaptations ofwell-known board games, integrating their mechanics and materials into a data visualization learning process. For each game, we outline specific learning objectives and suggest strategies to extend the game-based approach to broader data visualization education. By combining familiar, engaging game mechanics with visualization content, we aim to foster critical engagement with the learning material while providing students with a foundational understanding of data visualization concepts. Early qualitative results from one of the games indicate a positive impact on players’ learning, boosting engagement and enjoyment.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1861, 166, 1410 ], "booktitle": "Visgames 2025: EuroVis Workshop on Visualization Play, Games, and Activities", "date_from": "2025-06-02", "date_to": "2025-06-06", "doi": "10.2312/visgames.20251165", "editor": "Stoiber, C. and Boucher, M. and de Jesus Oliveira, V. A. and Schetinger, V. and Filipov, V. and Raidou, R. G. and Amabili, L. and Keck, M.", "event": "VisGames 2025 colocated with EuroVis 2025 - 27th EG Conference on Visualization", "lecturer": [ 1861 ], "location": "Luxembourg City", "open_access": "yes", "pages": "6", "publisher": "The Eurographics Association", "research_areas": [], "keywords": [ "Human-centered computing", "visualization theory", "concepts and paradigms", "Information visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "amabili-2025-lpb-paper.pdf", "type": "application/pdf", "size": 525621, "path": "Publication:amabili-2025-lpb", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/amabili-2025-lpb/amabili-2025-lpb-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/amabili-2025-lpb/amabili-2025-lpb-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/amabili-2025-lpb/", "__class": "Publication" }, { "id": "beinder-2025-vao", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/213421", "title": "Visualization and analysis of 3D-connectivity at cell resolution", "date": "2025", "abstract": "With the advancement of imaging technologies, the mapping of the human body at continually increasing resolution becomes possible. Multiple research programs have achieved the imaging of various functional tissue units at cell resolution and even the imaging of single-cells in a combined effort to map out the human body and its disease states. Novel contributions to these programs open up a multitude of avenues to explore the functional complexity and disease progression of organs in even more detail. A vital part of this exploration is the analysis of connectivity between the functional tissue units or single-cells, as they are believed to communicate through diverse channels. This thesis presents two independent tools that empower researchers to improve their connectivity analysis workflows. Firstly, an installable Python tool that generates surface meshes and a connectivity abstraction in the form of a network from segmented volumetric data. In the course of this, a method for suggesting the connectivity of incomplete tubular meshes is proposed. Secondly, an interactive web-based visualization tool that improves connectivity analysis by synchronizing a three-dimensional spatial view with two network views that incorporate the connectivity abstraction. The applicability of both tools is tested and showcased with data from three distinct fields by analyzing the connectivity between glomeruli and nerves in the kidney, the connectivity of intraepitheliel lesions in pancreatic ducts with the surrounding nervous system, and the connectivity between single-cells of a melanoma.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5573 ], "ac_number": "AC17473350", "doi": "10.34726/hss.2025.124059", "open_access": "yes", "pages": "123", "supervisor": [ 1410 ], "research_areas": [], "keywords": [ "Visualization", "3D Reconstruction", "Connectivity", "Cellular Neighborhoods", "Functional Tissue Units", "Glomeruli", "Nerves", "PanIN", "Melanoma" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "beinder-2025-vao-thesis.pdf", "type": "application/pdf", "size": 6160074, "path": "Publication:beinder-2025-vao", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/beinder-2025-vao/beinder-2025-vao-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/beinder-2025-vao/beinder-2025-vao-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/beinder-2025-vao/", "__class": "Publication" }, { "id": "ecormier-nocca-2025-sls", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/213965", "title": "Single-Exemplar Lighting Style Transfer via Emissive Texture Synthesis and Optimization", "date": "2025", "abstract": "Lighting is a key component in how scenes are perceived. However, many interior lighting situations are currently either handcrafted by expert designers, or simply consist of basic regular arrangements of luminaires, such as to reach uniform lighting at a predefined brightness. Our method aims to bring more interesting lighting configurations to various scenes in a semi-automatic manner designed for fast prototyping by non-expert users. Starting from a single photograph of a lighting configuration, we allow users to quickly copy and adapt a lighting style to any 3D scene. Combining image analysis, texture synthesis, and light parameter optimization, we produce a lighting design for the target 3D scene matching the input image. We validate via a user study that our results successfully transfer the desired lighting style more accurately and realistically than state-of-the-art generic style transfer methods. Furthermore, we investigate the behaviour of our method under potential altern ative choices in an ablation study.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2126, "image_height": 763, "name": "ecormier-nocca-2025-sls-image.png", "type": "image/png", "size": 1223387, "path": "Publication:ecormier-nocca-2025-sls", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/ecormier-nocca-2025-sls-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/ecormier-nocca-2025-sls-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1949, 1525, 1954, 1946, 193 ], "booktitle": "Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP", "date_from": "2025-02-26", "date_to": "2025-03-28", "doi": "10.5220/0013193900003912", "event": "IVAPP 2025 - Part of VISIGRAPP, the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.", "isbn": "978-989-758-728-3", "lecturer": [ 1954 ], "location": "Porto", "pages": "14", "pages_from": "113", "pages_to": "126", "publisher": "SciTePress", "volume": "1", "research_areas": [ "Rendering" ], "keywords": [ "Lighting Design", "Lighting Style Ttransfer", "Texture Synthesis", "Lighting Optimization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2126, "image_height": 763, "name": "ecormier-nocca-2025-sls-image.png", "type": "image/png", "size": 1223387, "path": "Publication:ecormier-nocca-2025-sls", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/ecormier-nocca-2025-sls-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/ecormier-nocca-2025-sls-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ecormier-nocca-2025-sls-paper.pdf", "type": "application/pdf", "size": 58975673, "path": "Publication:ecormier-nocca-2025-sls", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/ecormier-nocca-2025-sls-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/ecormier-nocca-2025-sls-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/", "__class": "Publication" }, { "id": "Ehlers_PhD", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/222196", "title": "Inspired by Biology: Towards Visualizing Complex Networks", "date": "2025", "abstract": "The term “biological network” comprises a large and multifaceted set of different types of networks. These different network types bring with it unique visualization and visual analysis challenges. We first survey the literature in order to characterize and identify outstanding gaps in the visualization of biological networks. Inspired by these many challenges and difficulties faced by the field. Specifically, we focus on three challenges of particular interest to us: i) improving the visual quality of commonly employed straight-line node-link diagrams, ii) the visualization of uncertainty in networks, and iii) the visualization of group structures in compound graphs. To tackle these three challenges, we conduct five investigations.To tackle challenge 1, we first investigate the principled and algorithmic splitting of vertices to iteratively resolve edge crossings and thereby improve the readability of graphs. As an alternative solution to challenge 1, we investigate the visualization of so-called ego-networks, which allow for the visualization of only node-relative and node-relevant topology, instead of the entirety of a network. Third, within the context of challenge 2, we investigate the visualization of node attribute uncertainty using animated “wiggliness”, i.e., animated node motion. Fourth, in order to tackle challenge 3, we survey the current state of compound graph visualization and, finally, we combine the aforementioned four works together and develop a prototypical dashboard for the visualization of compound graphs.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "title,abstract,date,keywords,type_id", "repositum_presentation_id": null, "authors": [ 1850 ], "ac_number": "AC17730567", "co_supervisor": [ 1464 ], "date_end": "2024", "date_start": "2021", "doi": "10.34726/hss.2025.137816", "open_access": "yes", "pages": "287", "supervisor": [ 1410 ], "research_areas": [ "BioVis" ], "keywords": [ "Network visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Ehlers_PhD-thesis.pdf", "type": "application/pdf", "size": 10158013, "path": "Publication:Ehlers_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Ehlers_PhD/Ehlers_PhD-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/Ehlers_PhD/Ehlers_PhD-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Ehlers_PhD/", "__class": "Publication" }, { "id": "ehlers-2025-battlegraphs", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/217464", "title": "BattleGraphs: Forge, Fortify, and Fight in the Network Arena", "date": "2025", "abstract": "Constructive visualization enables users to create personalized data representations and facilitates early insight generation and sensemaking. Based on NODKANT, a toolkit for creating physical network diagrams using 3D printed parts, we define a competitive network physicalization game: BattleGraphs. In BattleGraphs, two players construct networks independently and\ncompete in solving network analysis benchmark tasks. We propose a workshop scenario where we deploy our game, collect strategies for interaction and analysis from our players, and measure the effectiveness of the strategy with the success of the player to discuss in a reflection phase. Printable parts of the game, as well as instructions, are available through the Open Science Framework at -- https://osf.io/x6zv7/ -- All proceedings (including this submission) available on the eurographics digital library: https://diglib.eg.org/collections/d1483cdb-603e-46b6-b315-d9a6e750427e", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1850, 1813, 5488, 5489, 5417 ], "booktitle": "Visgames 2025: EuroVis Workshop on Visualization Play, Games, and Activities", "date_from": "2025-06-02", "date_to": "2025-06-02", "doi": "10.2312/visgames.20251161", "editor": "Stoiber, C. and Boucher, Magdalena and de Jesus Oliveira, V. A. and Schetinger, Victor and Filipov, Velitchko and Raidou, Renata Georgia and Amabili, L. and Keck, M. and Aigner, Wolfgang", "event": "EuroVis 2025 Workshop on Visualization Play, Games, and Activities (VisGames)", "lecturer": [ 1850, 1813, 5488, 5489, 5417 ], "location": "Luxembourg", "pages": "5", "publisher": "The Eurographics Association", "research_areas": [], "keywords": [ "Network Visualization", "Data Physicalization", "Constructivism", "Visualization Games" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ehlers-2025-battlegraphs/", "__class": "Publication" }, { "id": "ehlers-2025-penta", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/216534", "title": "Penta: Towards Visualizing Compound Graphs as Set-Typed Data", "date": "2025", "abstract": "Compound graphs are graphs whose nodes, in addition to topological connections, share group-level relationships. The need to incorporate both topological and group-level relationships makes them inherently challenging to visualize, especially for large data. We present Penta, a prototypical dashboard that, by combining elements of compound graph and set visualization, provides a complete view of both types of relationships. To this end, we employ five linked views that provide insight into a compound graph’s i) global and set local topology using both hypernode and traditional node-link diagrams, respectively, ii) set and entity-level relationship and identity using similarity matrices linked by a bipartite node-link diagram, as well as iii) node-centric topology across sets visualized as a layered node-link diagram. We demonstrate the workflow and advantages of Penta in three small-scale case studies, using character co-occurrence networks as well as biochemical pathway data. While still a prototype, the proposed dashboard shows promise in facilitating a complete visual exploration of the topology and group-level relationships present in compound graphs, simultaneously.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1850, 5479, 1410 ], "booktitle": "Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1 GRAPP, HUCAPP and IVAPP: IVAPP,", "date_from": "2025-02-26", "date_to": "2025-02-28", "doi": "10.5220/0013242300003912", "event": "20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP , GRAPP, HUCAPP and IVAPP 2025)", "isbn": "978-989-758-728-3", "lecturer": [ 5479 ], "location": "Porto", "pages": "9", "pages_from": "913", "pages_to": "921", "volume": "1", "research_areas": [], "keywords": [ "Compound Graph", "Ego Network", "Network Visualization", "Set Visualization" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ehlers-2025-penta/", "__class": "Publication" }, { "id": "Pahr_PhD", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/222160", "title": "From Interactions to Integrated Actions: Exploring Active Perception and Inter-Modality in Data Physicalization", "date": "2025", "abstract": "The growing field of data physicalization holds significant potential for integrating user actionsdirectly into the sense making process through physical artifacts. Two promising factors for physical, as opposed to virtual representations, are physical interaction and multimodal perception. Unmediated interaction in the physical space allows users to manipulate and explore dataphysicalizations in a natural way, harnessing a user’s actions to encode and decode information ina different way than purely virtual representations. In this dissertation, I explore the incorporation of user action as a means of manipulation and perception into data physicalizations, moving from representations where perception only happens after physical interactions, to representations where physical interactions directly stimulate the user’s perception. I investigate four distinct types of user interactions with data physicalizations and show how each of them can support human perception in different ways. Firstly, I show how a modular 3D representation of dynamic data can leverage physical embodiment using natural spatial perception.I demonstrate this by creating a simple interactive physical representation of a space-time-cubemetaphor and investigating it in a case study with a domain expert. Secondly, I investigate the influence of construction — an intuitively physical interaction in the physical space — of apre-defined physical representation on human perception. I show this by designing a networkdata physicalization toolkit and conducting a between-subject study, comparing different ways to instruct a user during construction. Thirdly, I introduce tactile perception of the elastic properties of an object in a multi-modal representation of volume data. I showcase this at the hands of a fabrication pipeline that creates elastic artifacts from volume data using consumer-level 3D printing and validate the method through computational, mechanical, and perceptualstudies. Finally, I explore the benefits of manually operating a physical representation of adynamic process, leveraging the tactile feedback to the user for information encoding. By means of a between-subject user study, I show that integrating a user’s actions into a representation significantly increases engagement.Overall, the results show that even a simple physicalization can highlight the perceptual benefits of physically encoding data by ways of natural perception. Abstract representations have to be learned by users but can be supported by physical interactions, while embodied metaphors profit from direct interactivity if the stimulus fits the sensory capabilities.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "title,abstract,date,keywords,type_id", "repositum_presentation_id": null, "authors": [ 1813 ], "ac_number": "AC17729893", "co_supervisor": [ 1464 ], "date_end": "2024", "date_start": "2021", "doi": "10.34726/hss.2025.137817", "open_access": "yes", "pages": "124", "supervisor": [ 1410 ], "research_areas": [ "MedVis" ], "keywords": [ "Data physicalization", "Interaction", "Embodiment" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Pahr_PhD-thesis.pdf", "type": "application/pdf", "size": 3694895, "path": "Publication:Pahr_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Pahr_PhD/Pahr_PhD-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/Pahr_PhD/Pahr_PhD-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Pahr_PhD/", "__class": "Publication" }, { "id": "pahr-2025-holographs", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/216593", "title": "HoloGraphs: An Interactive Physicalization for Dynamic Graphs", "date": "2025", "abstract": "We present HoloGraphs, a novel approach for physically representing, explaining, exploring, and interacting with dynamic networks. HoloGraphs addresses the challenges of visualizing and understanding evolving network structures by providing an engaging method of interacting and exploring dynamic network structures using physicalization techniques. In contrast to traditional digital interfaces, our approach leverages tangible artifacts made from transparent materials to provide an intuitive way for people with low visualization literacy to explore network data. The process involves printing network embeddings on transparent media and assembling them to create a 3D representation of dynamic networks, maintaining spatial perception and allowing the examination of each timeslice individually. Interactivity is envisioned using optional Focus+Context layers and overlays for node trajectories and labels. Focus layers highlight nodes of interest, context layers provide an overview of the network structure, and global overlays show node trajectories over time. In this paper, we outline the design principles and implementation of HoloGraphs and present how elementary digital interactions can be mapped to physical interactions to manipulate the elements of a network and temporal dimension in an engaging matter. We demonstrate the capabilities of our concept in a case study. Using a dynamic network of character interactions from a popular book series, we showcase how it represents and supports understanding complex concepts such as dynamic networks.", "authors_et_al": false, "substitute": null, "main_image": { "description": "a 3d visualization of a dynamic network, made from transparent projector slides stacked in parallel", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 6000, "image_height": 4000, "name": "pahr-2025-holographs-teaser.JPG", "type": "image/jpeg", "size": 5834127, "path": "Publication:pahr-2025-holographs", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-holographs/pahr-2025-holographs-teaser.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-holographs/pahr-2025-holographs-teaser:thumb{{size}}.png" }, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1813, 1850, 5417 ], "booktitle": "Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1 GRAPP, HUCAPP and IVAPP: IVAPP,", "date_from": "2025-02-26", "date_to": "2025-02-28", "doi": "10.5220/0013116000003912", "event": "20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP , GRAPP, HUCAPP and IVAPP 2025)", "isbn": "978-989-758-728-3", "lecturer": [ 1813 ], "location": "Porto", "pages": "8", "pages_from": "859", "pages_to": "866", "volume": "1", "research_areas": [], "keywords": [ "Dynamic Networks", "Fabrication", "Information Visualization", "Physicalization" ], "weblinks": [], "files": [ { "description": "a 3d visualization of a dynamic network, made from transparent projector slides stacked in parallel", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 6000, "image_height": 4000, "name": "pahr-2025-holographs-teaser.JPG", "type": "image/jpeg", "size": 5834127, "path": "Publication:pahr-2025-holographs", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-holographs/pahr-2025-holographs-teaser.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-holographs/pahr-2025-holographs-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-holographs/", "__class": "Publication" }, { "id": "pahr-2025-nodkant", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/216536", "title": "NODKANT: exploring constructive network physicalization", "date": "2025", "abstract": "Physicalizations, which combine perceptual and sensorimotor interactions, offer an immersive way to comprehend complex data visualizations by stimulating active construction and manipulation. This study investigates the impact of personal construction on the comprehension of physicalized networks. We propose a physicalization toolkit—NODKANT—for constructing modular node-link diagrams consisting of a magnetic surface, 3D printable and stackable node labels, and edges of adjustable length. In a mixed-methods between-subject lab study with 27 participants, three groups of people used NODKANT to complete a series of low-level analysis tasks in the context of an animal contact network. The first group was tasked with freely constructing their network using a sorted edge list, the second group received step-by-step instructions to create a predefined layout, and the third group received a pre-constructed representation. While free construction proved on average more time-consuming, we show that users extract more insights from the data during construction and interact with their representation more frequently, compared to those presented with step-by-step instructions. Interestingly, the increased time demand cannot be measured in users' subjective task load. Finally, our findings indicate that participants who constructed their own representations were able to recall more detailed insights after a period of 10–14 days compared to those who were given a pre-constructed network physicalization. All materials, data, code for generating instructions, and 3D printable meshes are available on https://osf.io/tk3g5/.", "authors_et_al": false, "substitute": null, "main_image": { "description": "An IKEA-like illustration of a person looking at a dataset, assembling a graph manually, and being happy with the result", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1280, "image_height": 536, "name": "pahr-2025-nodkant-teaser.jpg", "type": "image/jpeg", "size": 46516, "path": "Publication:pahr-2025-nodkant", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-teaser:thumb{{size}}.png" }, "sync_repositum_override": "authors,projects", "repositum_presentation_id": null, "authors": [ 1813, 5488, 1850, 5417, 5489, 1059, 1464, 1410 ], "ac_number": "AC17571629", "articleno": "e70140", "doi": "10.1111/cgf.70140", "issn": "1467-8659", "journal": "Computer Graphics Forum", "open_access": "yes", "pages": "12", "publisher": "WILEY", "research_areas": [], "keywords": [ "CCS Concepts", "Empirical studies in visualization", "human-centered computing", "Visualization Application Domains" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "pahr-2025-nodkant-paper.pdf", "type": "application/pdf", "size": 15020616, "path": "Publication:pahr-2025-nodkant", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-paper:thumb{{size}}.png" }, { "description": "An IKEA-like illustration of a person looking at a dataset, assembling a graph manually, and being happy with the result", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1280, "image_height": 536, "name": "pahr-2025-nodkant-teaser.jpg", "type": "image/jpeg", "size": 46516, "path": "Publication:pahr-2025-nodkant", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/", "__class": "Publication" }, { "id": "pointner_simon-2022-maa", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/225169", "title": "Cycle Safely", "date": "2025", "abstract": "This thesis presents a design and implementation of an end-to-end collision prediction and detection pipeline tailored to cyclists. The primary goal is to predict potential collisions between the cyclist (ego agent) and other road users, particularly motorised vehicles, which pose a higher risk due to higher momentum and speed. The proposed pipeline integrates conventional techniques for solving the sub-tasks of object detection, object tracking, and trajectory forecasting. Specifically, Super Fast and Accurate 3D Object Detection (SFA3D) is used for the detection, a Kalman filter-based multi-object tracker for temporal association of these detections, and a machine learning-based model (prediction conditioned on goals in visual multi-agent settings) is adapted and trained for the prediction of future trajectories. CARLA driving simulator facilitates the training and development of the prediction model by creating a synthetic dataset of cycling and the interaction with other road users. The system is evaluated on the synthetic dataset and also on the real-world KITTI dataset, and additional ablation studies examine the contribution of each pipeline stage. Experiments demonstrate that the proposed approach is capable of achieving reliable performance in object detection and tracking tasks. This confirms the feasibility of such a pipeline under limited sensing capabilities, such as LIDAR and GPS/IMU measurements. However, trajectory prediction remains a difficult and computationally expensive task, primarily due to the lack of documented and easily deployable open-source models. The implementation comes with a visualisation framework, built from the Rerun tool, for interactive inspection of the pipeline’s intermediate and final results.The contribution of this thesis can be summarised by the implementation of a framework for cyclist collision detection. It offers insights into how conventional and machine learning methods can be combined into a pipeline, and key limitations and points of future work for the creation of better trajectory prediction in adverse traffic contexts are outlined.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1796 ], "ac_number": "AC17754544", "co_supervisor": [ 948 ], "date_start": "2021-11-29", "doi": "10.34726/hss.2025.111224", "matrikelnr": "01612401", "open_access": "yes", "pages": "86", "supervisor": [ 193 ], "research_areas": [ "Geometry" ], "keywords": [ "cycling", "collision detection", "trajectory prediction", "machine learning" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "pointner_simon-2022-maa-thesis.pdf", "type": "application/pdf", "size": 6379604, "path": "Publication:pointner_simon-2022-maa", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pointner_simon-2022-maa/pointner_simon-2022-maa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/pointner_simon-2022-maa/pointner_simon-2022-maa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pointner_simon-2022-maa/", "__class": "Publication" }, { "id": "Meier_2024_WIALT", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Simulating Windows for Lighting Design Optimization", "date": "2024-12-20", "abstract": "For lighting design, optimizing windows plays a major role, especially for office and living spaces, as natural light is important for focus, productivity and also mood. The rendering framework Tamashii, which is currently in development at the research unit of computer graphics at TU Wien, offers a feature to automatically optimize multiple parameters of light sources like the position, intensity or rotation for a predefined lighting target. This thesis aims to expand the possibilities Tamashii offers for lighting design by simulating windows through area lights. Tamashii’s automatic light parameter optimization relies on light tracing, which unlike path tracing, casts the light rays from the light sources instead of the camera. This is why implementing environment maps in a classical sense is not feasible, as emitting light rays from each pixel of the environment map only for a small percentage to go through the window is very inefficient. We implement a new type of light that combines area lights with Illuminating Engineering Society (IES) lights in order to simulate windows. The IES standard is a file format commonly used by luminaire manufacturers to describe the physical properties of a luminaire for simulation in software. To accurately mimic the light that shines through real windows, we convert High Dynamic Range (HDR) files into IES profiles, which our lights can then use. Our new light type can also be attached to models in the scene, such as walls or roofs, which constrains the manual movement of the windows to the connected object and makes their usage more intuitive. In our tests, we find that our implementation is able to realistically simulate real windows when compared to the same combination of scenes and HDR files in Blender’s path tracing renderer Cycles. To ensure that the light parameter optimization algorithm only moves the window lights inside the model its connected to, we implement a constraint that gets evaluated repeatedly while optimizing. We realize this by calculating penalties when the light reaches the edges of the model, in order to encourage the algorithm to keep the window light inside. When evaluating our implementation we find that with the activated constraint, the algorithm is able to find valid positions for the window lights when optimizing.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5362 ], "date_end": "2024-12-20", "date_start": "2024-05-02", "matrikelnr": "e11908106", "supervisor": [ 193, 1946 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Meier_2024_WIALT-thesis.pdf", "type": "application/pdf", "size": 80250870, "path": "Publication:Meier_2024_WIALT", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Meier_2024_WIALT/Meier_2024_WIALT-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/Meier_2024_WIALT/Meier_2024_WIALT-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Meier_2024_WIALT/", "__class": "Publication" }, { "id": "cardoso-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/209309", "title": "Approaching Under-Explored Image-Space Problems with Optimization", "date": "2024-12-19", "abstract": "This doctoral dissertation delves into three distinct yet interconnected problems in the realm of interactive image-space computing in computer graphics, each of which has not been tackled by existing literature.The first problem centers on the prediction of visual error metrics in real-time applications, specifically in the context of content-adaptive shading and shading reuse. Utilizing convolutional neural networks, this research aims to estimate visual errors without requiring reference or rendered images. The models developed can account for 70%–90% of the variance and achieve computation times that are an order of magnitude faster than existing methods. This enables a balance between resource-saving and visual quality, particularly in deferred shading pipelines, and can achieve up to twice the performance compared to state-of-the-art methods depending on the portion of unseen image regions. The second problem focuses on the burgeoning field of light-field cameras and the challenges associated with depth prediction. This research argues for the refinement of cost volumes rather than depth maps to increase the accuracy of depth predictions. A set of cost-volume refinement algorithms is proposed, which dynamically operate at runtime to find optimal solutions, thereby enhancing the accuracy and reliability of depth estimation in light fields.The third problem tackles the labor-intensive nature of hand-drawn animation, specifically in the detailing of character eyes. An unsupervised network is introduced that blends inpainting and image-to-image translation techniques. This network employs a novel style-aware clustering method and a dual-discriminator optimization strategy with a triple-reconstruction loss. The result is an improvement in the level of detail and artistic consistency in hand-drawn animation, preferred over existing work 95.16% of the time according to a user study.Optimization techniques are the common thread that ties these problems together. While dynamic optimization at runtime is employed for cost volume refinement, deep-learning methods are used offline to train global solutions for the other two problems. This research not only fills gaps in the existing literature but also paves the way for future explorations in the field of computer graphics and optimization, offering new avenues for both academic research and practical applications.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1639 ], "ac_number": "AC17414787", "date_end": "2024-12-19", "date_start": "2019-04", "doi": "10.34726/hss.2025.128664", "matrikelnr": "11937133", "open_access": "yes", "pages": "110", "reviewer_1": [ 1825 ], "reviewer_2": [ 5420 ], "rigorosum": "2024-12-19", "supervisor": [ 193 ], "research_areas": [ "Perception", "Rendering" ], "keywords": [ "variable-rate shading", "light-fields", "limited animation", "anime", "convolutional neural networks" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "cardoso-thesis-thesis.pdf", "type": "application/pdf", "size": 47447576, "path": "Publication:cardoso-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-thesis/cardoso-thesis-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-thesis/cardoso-thesis-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "EVOCATION" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-thesis/", "__class": "Publication" }, { "id": "groeller-2024-cui", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/210589", "title": "Certain Uncertainties in Visual Data Science", "date": "2024-12-10", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2024-12-10", "date_to": "2024-12-10", "event": "Faculty Colloquium", "lecturer": [ 166 ], "location": "Passau", "research_areas": [], "keywords": [ "uncertainty visualization" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/groeller-2024-cui/", "__class": "Publication" }, { "id": "pahr-2024-squishicalization", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/208691", "title": "Squishicalization: Exploring Elastic Volume Physicalization", "date": "2024-12", "abstract": "We introduce Squishicalization , a pipeline for generating physicalizations of volumetric data that encode scalar information through their physical characteristics—specifically, by varying their “squishiness” or local elasticity. Data physicalization research is increasingly exploring multisensory information encoding, with a particular focus on enhancing direct interactivity. With Squishicalization , we leverage the tactile dimension of physicalization as a means of direct interactivity. Inspired by conventional volume rendering, we adapt the concept of transfer functions to encode scalar values from volumetric data into local elasticity levels. In this way, volumetric scalar data are transformed into sculptures, where the elasticity represents physical properties such as the material's density distribution within the volume. In our pipeline, scalar values guide the weighted sampling of the scalar field. The sampled data is then processed through Voronoi tessellation to create a sponge-like structure, which can be printed with consumer-grade 3D printers and readily available filament. To validate our pipeline, we conduct a computational and mechanical evaluation, as well as a two-stage perceptual study of the capabilities of our generated squishicalizations. To further investigate potential application scenarios, we interview experts across several domains. Finally, we summarize actionable insights and future avenues for the application of our All supplemental materials are available at https://osf.io/35gnv/?view_only=605e5085061f40439a98545f0c447cf3 .", "authors_et_al": false, "substitute": null, "main_image": { "description": "A hand coming from the left side of the picture squeezes the face of a printed representation of an MRI.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2177, "image_height": 1639, "name": "pahr-2024-squishicalization-teaser.png", "type": "image/png", "size": 3380920, "path": "Publication:pahr-2024-squishicalization", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/pahr-2024-squishicalization-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/pahr-2024-squishicalization-teaser:thumb{{size}}.png" }, "sync_repositum_override": "projects,open_access", "repositum_presentation_id": null, "authors": [ 1813, 5430, 1464, 1410 ], "doi": "10.1109/TVCG.2024.3516481", "issn": "1941-0506", "journal": "IEEE Transactions on Visualization and Computer Graphics", "open_access": "yes", "pages": "14", "pages_from": "1", "pages_to": "14", "publisher": "IEEE COMPUTER SOC", "research_areas": [ "Fabrication" ], "keywords": [ "Elasticity", "Three Dimensional Printing", "Pipelines", "Fabrication", "Microstructures", "Rendering Computer Graphics", "Encoding", "Printing", "Data Physicalization", "Data Visualization", "Digital Fabrication" ], "weblinks": [], "files": [ { "description": "A hand coming from the left side of the picture squeezes the face of a printed representation of an MRI.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2177, "image_height": 1639, "name": "pahr-2024-squishicalization-teaser.png", "type": "image/png", "size": 3380920, "path": "Publication:pahr-2024-squishicalization", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/pahr-2024-squishicalization-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/pahr-2024-squishicalization-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/", "__class": "Publication" }, { "id": "xmas-2024", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2024", "date": "2024-12", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1863, "image_height": 1318, "name": "xmas-2024-.PNG", "type": "image/png", "size": 6124629, "path": "Publication:xmas-2024", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/xmas-2024/xmas-2024-.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/xmas-2024/xmas-2024-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1937 ], "research_areas": [ "Modeling" ], "keywords": [ "Christmas", "Digital Elevation Models", "L-system-based modeling" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1863, "image_height": 1318, "name": "xmas-2024-.PNG", "type": "image/png", "size": 6124629, "path": "Publication:xmas-2024", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/xmas-2024/xmas-2024-.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/xmas-2024/xmas-2024-:thumb{{size}}.png" }, { "description": "Christmas Card as PDF", "filetitle": "Card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "xmas-2024-Card.pdf", "type": "application/pdf", "size": 3113633, "path": "Publication:xmas-2024", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/xmas-2024/xmas-2024-Card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/xmas-2024/xmas-2024-Card:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/xmas-2024/", "__class": "Publication" }, { "id": "sakai-2024-asa", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/209940", "title": "A Statistical Approach to Monte Carlo Denoising", "date": "2024-12", "abstract": "The stochastic nature of modern Monte Carlo (MC) rendering methods inevitably produces noise in rendered images for a practical number of samples per pixel. The problem of denoising these images has been widely studied, with most recent methods relying on data-driven, pretrained neural networks. In contrast, in this paper we propose a statistical approach to the denoising problem, treating each pixel as a random variable and reasoning about its distribution. Considering a pixel of the noisy rendered image, we formulate fast pair-wise statistical tests—based on online estimators—to decide which of the nearby pixels to exclude from the denoising filter. We show that for symmetric pixel weights and normally distributed samples, the classical Welch t-test is optimal in terms of mean squared error. We then show how to extend this result to handle non-normal distributions, using more recent confidence-interval formulations in combination with the Box-Cox transformation. Our results show that our statistical denoising approach matches the performance of state-of-the-art neural image denoising without having to resort to any computation-intensive pretraining. Furthermore, our approach easily generalizes to other quantities besides pixel intensity, which we demonstrate by showing additional applications to Russian roulette path termination and multiple importance sampling.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Image illustrating the proposed denoising method, created by the paper authors. The “Wooden Staircase” scene has been created by Wig42 (https://blendswap.com/profile/130393) under the CC BY 3.0 license.", "filetitle": "Representative Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1980, "image_height": 1320, "name": "sakai-2024-asa-Representative Image.jpg", "type": "image/jpeg", "size": 3344845, "path": "Publication:sakai-2024-asa", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Representative Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Representative Image:thumb{{size}}.png" }, "sync_repositum_override": "date,articleno", "repositum_presentation_id": null, "authors": [ 1129, 1128, 808, 1946, 193 ], "articleno": "68", "booktitle": "SA '24: SIGGRAPH Asia 2024 Conference Papers", "date_from": "2024-12-03", "date_to": "2024-12-06", "doi": "10.1145/3680528.3687591", "event": "SA '24: SIGGRAPH Asia 2024", "isbn": "979-8-4007-1131-2", "lecturer": [ 1129 ], "location": "Tokyo", "open_access": "yes", "pages": "11", "publisher": "Association for Computing Machinery", "research_areas": [ "Rendering" ], "keywords": [ "Monte Carlo rendering", "path tracing", "denoising", "image filtering", "statistics" ], "weblinks": [ { "href": "https://www.cg.tuwien.ac.at/StatMC", "caption": "Project Page", "description": null, "main_file": 1 } ], "files": { "0": { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sakai-2024-asa-paper.pdf", "type": "application/pdf", "size": 11789710, "path": "Publication:sakai-2024-asa", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-paper:thumb{{size}}.png" }, "1": { "description": "Image illustrating the proposed denoising method, created by the paper authors. The “Wooden Staircase” scene has been created by Wig42 (https://blendswap.com/profile/130393) under the CC BY 3.0 license.", "filetitle": "Representative Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1980, "image_height": 1320, "name": "sakai-2024-asa-Representative Image.jpg", "type": "image/jpeg", "size": 3344845, "path": "Publication:sakai-2024-asa", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Representative Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Representative Image:thumb{{size}}.png" }, "3": { "description": null, "filetitle": "Supplementary Document", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sakai-2024-asa-Supplementary Document.pdf", "type": "application/pdf", "size": 10739991, "path": "Publication:sakai-2024-asa", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Supplementary Document.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Supplementary Document:thumb{{size}}.png" } }, "projects_workgroups": [ "d9259" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/", "__class": "Publication" }, { "id": "ehlers-2024-mmm", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/205726", "title": "Me! Me! Me! Me! A study and comparison of ego network representations", "date": "2024-12", "abstract": "From social networks to brain connectivity, ego networks are a simple yet powerful approach to visualizing parts of a larger graph, i.e. those related to a selected focal node — the so-called “ego”. While surveys and comparisons of general graph visualization approaches exist in the literature, we note (i) the many conflicting results of comparisons of adjacency matrices and node-link diagrams, thus motivating further study, as well as (ii) the absence of such systematic comparisons for ego networks specifically. In this paper, we propose the development of empirical recommendations for ego network visualization strategies. First, we survey the literature across application domains and collect examples of network visualizations to identify the most common visual encodings, namely straight-line, radial, and layered node-link diagrams, as well as adjacency matrices. These representations are then applied to a representative, intermediate-sized network and subsequently compared in a large-scale, crowd-sourced user study in a mixed-methods analysis setup to investigate their impact on both user experience and performance. Within the limits of this study, and contrary to previous comparative investigations of adjacency matrices and node-link diagrams (outside of ego networks specifically), participants performed systematically worse when using adjacency matrices than those using node-link diagrammatic representations. Similar to previous comparisons of different node-link diagrams, we do not detect any notable differences in participant performance between the three node-link diagrams. Lastly, our quantitative and qualitative results indicate that participants found adjacency matrices harder to learn, use, and understand than node-link diagrams. We conclude that in terms of both participant experience and performance, a layered node-link diagrammatic representation appears to be the most preferable for ego network visualization purposes.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1850, 1813, 5417, 1464, 1410 ], "articleno": "104123", "doi": "10.1016/j.cag.2024.104123", "issn": "1873-7684", "journal": "COMPUTERS & GRAPHICS-UK", "open_access": "yes", "pages": "15", "pages_from": "1", "pages_to": "15", "publisher": "PERGAMON-ELSEVIER SCIENCE LTD", "volume": "125", "research_areas": [ "NetVis" ], "keywords": [ "Adjacency matrix", "Ego network visualization", "Layered node-link diagram", "Radial node-link diagram", "Straight-line node-link diagram", "User study" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ehlers-2024-mmm-paper.pdf", "type": "application/pdf", "size": 2475868, "path": "Publication:ehlers-2024-mmm", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ehlers-2024-mmm/ehlers-2024-mmm-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ehlers-2024-mmm/ehlers-2024-mmm-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ehlers-2024-mmm/", "__class": "Publication" }, { "id": "marin-2024-sing", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/208566", "title": "SING: Stability-Incorporated Neighborhood Graph", "date": "2024-12", "abstract": "We introduce the Stability-Incorporated Neighborhood Graph (SING), a novel density-aware structure designed to capture the intrinsic geometric properties of a point set. We improve upon the spheres-of-influence graph by incorporating additional features to offer more flexibility and control in encoding proximity information and capturing local density variations. Through persistence analysis on our proximity graph, we propose a new clustering technique and explore additional variants incorporating extra features for the proximity criterion. Alongside the detailed analysis and comparison to evaluate its performance on various datasets, our experiments demonstrate that the proposed method can effectively extract meaningful clusters from diverse datasets with variations in density and correlation. Our application scenarios underscore the advantages of the proposed graph over classical neighborhood graphs, particularly in terms of parameter tuning.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2607, "image_height": 709, "name": "marin-2024-sing-image.png", "type": "image/png", "size": 897420, "path": "Publication:marin-2024-sing", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-sing/marin-2024-sing-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-sing/marin-2024-sing-image:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1848, 1825, 948, 193, 5431, 5297 ], "booktitle": "SA '24: SIGGRAPH Asia 2024 Conference Papers", "date_from": "2024-12-03", "date_to": "2024-12-06", "doi": "10.1145/3680528.3687674", "editor": "Igarashi, Takeo and Shamir, Ariel and Zhang, Hao", "event": "SA '24: SIGGRAPH Asia 2024", "isbn": "979-8-4007-1131-2", "lecturer": [ 1848 ], "location": "Tokyo", "pages": "10", "pages_from": "1", "pages_to": "10", "publisher": "Association for Computing Machinery", "research_areas": [ "Geometry" ], "keywords": [ "Proximity graphs", "Stipple art editing", "Pattern design", "Network topology", "clustering", "point patterns", "similarity metric", "discrete distributions", "persistence analysis", "Neighborhood graph", "topological data analysis", "K-means", "Rips complexes" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2607, "image_height": 709, "name": "marin-2024-sing-image.png", "type": "image/png", "size": 897420, "path": "Publication:marin-2024-sing", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-sing/marin-2024-sing-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-sing/marin-2024-sing-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "marin-2024-sing-paper.pdf", "type": "application/pdf", "size": 12994577, "path": "Publication:marin-2024-sing", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-sing/marin-2024-sing-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-sing/marin-2024-sing-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-sing/", "__class": "Publication" }, { "id": "lucio-2024-yfy", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/208563", "title": "Your Face, Your Anatomy: Flashcard Lenses Enriched with Knowledge Maps for Anatomy Education", "date": "2024-11", "abstract": "Traditional anatomy flashcards, with their recognizable static illustrations on the front side and comprehensive lists of concepts on the back, are a long-standing tool for memorizing and refreshing anatomical concepts. This study repurposes such established tool by introducing two key elements: (i) Augmented Reality (AR) lenses acting as magic mirrors enabling users to view anatomical illustrations mapped onto their own faces, and (ii) a knowledge map layer acting as the card’s backside to visually and explicitly illustrate conceptual connections between anatomical reference points. Using Snapchat’s Lens Studio, we crafted a deck of interactive facial anatomy flashcards to assess the potential of AR and knowledge maps for retaining and refreshing anatomical concepts. We conducted a user study involving 44 university-level students. Divided into two groups, participants utilized either flashcard lenses with knowledge maps or traditional flashcards to quickly grasp and refresh anatomical concepts. By employing an approach that integrates anatomical quizzes for objective assessment with surveys and interviews for subjective feedback, our results indicate that anatomy flashcard lenses with knowledge maps offer a more engaging educational experience, yielding higher user preferences and satisfaction levels compared to traditional flashcards. While both approaches showed similar effectiveness in quiz scores, anatomy flashcard lenses with knowledge maps were favored for their usability, significantly reducing temporal demand. These findings underscore the engaging and effective nature of anatomy flashcard lenses with knowledge maps, highlighting them as an alternative tool for the quick retention and review of anatomical concepts.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5407, 1410, 5412, 5413 ], "booktitle": "Proceedings 2024 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)", "date_from": "2024-10-21", "date_to": "2024-10-25", "editor": "Eck, Ulrich and Sra, Misha and Stefanucci, Jeanine and Sugimoto, Maki and Tatzgern, Markus and Williams, Ian", "event": "2024 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)", "isbn": "979-8-3315-1647-5", "lecturer": [ 5407 ], "location": "Seattle", "pages": "10", "pages_from": "495", "pages_to": "504", "research_areas": [], "keywords": [ "flashcards", "anatomy education", "mobile augmented reality", "embodied learning", "knowledge maps", "snapchat" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/lucio-2024-yfy/", "__class": "Publication" }, { "id": "schultes_lampi", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Live Ambient Physicalization Interface for dynamic Data - LAMPI", "date": "2024-11", "abstract": "Data physicalizations are becoming increasingly popular as a means of connecting people to abstract data and may help integrate the flood of information collected by modern technology into our everyday lives. In this thesis, I describe the design process for a software framework facilitating the physicalization of a stream of live data as well as the prototype of a dynamic shape and color-changing data physicalization for said data. I simulated elderly patients sharing their data using a recorded dataset to show the capabilities of the software framework and physicalization. The proposed concept provides a new method for communicating data in remote monitoring scenarios that can be built from accessible materials. It is also capable of showcasing data for other use cases with minimal adaptations, further expanding the possibilities for data physicalization.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1750, "image_height": 1800, "name": "schultes_lampi-teaser.png", "type": "image/png", "size": 2507235, "path": "Publication:schultes_lampi", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5416 ], "date_end": "2024-11", "date_start": "2024-06", "matrikelnr": "12025959", "supervisor": [ 1813 ], "research_areas": [ "Fabrication", "IllVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1750, "image_height": 1800, "name": "schultes_lampi-teaser.png", "type": "image/png", "size": 2507235, "path": "Publication:schultes_lampi", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "schultes_lampi-thesis.pdf", "type": "application/pdf", "size": 27678879, "path": "Publication:schultes_lampi", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/", "__class": "Publication" }, { "id": "thesis-kronsteiner", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Einfluss des Seitenverhältnisses auf Parallele Koordinaten", "date": "2024-10-10", "abstract": "Parallel coordinates are a unique visualization technique that presents promising opportunities for the visualization of large and diverse multivariate datasets. Applications\nsuch as web-based visualizations and dashboards are common use cases for this type\nof data. Prevalent concepts in the modern web are responsive design - the ability of\na web page to fit any screen resolution - as well as interactivity and customizability,\nrequiring us to consider the role of aspect ratio in the design of visual displays. We\nimplemented a web-based tool and conducted a statistical analysis of angle parameters\nin parallel coordinates plots. Our results indicate a significant influence of aspect ratio\non the display of parallel coordinates, and show that landscape orientations are more\nconsistent across different aspect ratios than portrait orientations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1159, "image_height": 814, "name": "thesis-kronsteiner-image.jpeg", "type": "image/jpeg", "size": 400170, "path": "Publication:thesis-kronsteiner", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/thesis-kronsteiner/thesis-kronsteiner-image.jpeg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/thesis-kronsteiner/thesis-kronsteiner-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5398 ], "date_end": "2024-10-10", "date_start": "2024-04-10", "matrikelnr": "11808233", "supervisor": [ 166 ], "research_areas": [ "Perception" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1159, "image_height": 814, "name": "thesis-kronsteiner-image.jpeg", "type": "image/jpeg", "size": 400170, "path": "Publication:thesis-kronsteiner", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/thesis-kronsteiner/thesis-kronsteiner-image.jpeg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/thesis-kronsteiner/thesis-kronsteiner-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "thesis-kronsteiner-thesis.pdf", "type": "application/pdf", "size": 7513311, "path": "Publication:thesis-kronsteiner", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/thesis-kronsteiner/thesis-kronsteiner-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/thesis-kronsteiner/thesis-kronsteiner-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/thesis-kronsteiner/", "__class": "Publication" }, { "id": "furmanova-2024-bvp", "type_id": "book", "tu_id": null, "repositum_id": "20.500.12708/204500", "title": "BioMedical Visualization : Past Work, Current Trends, and Open Challenges", "date": "2024-10-01", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5406, 1248, 1819, 166, 563, 1410 ], "doi": "10.1007/978-3-031-66789-3", "isbn": "978-3-031-66788-6", "pages": "159", "publisher": "Springer Nature", "research_areas": [], "keywords": [ "biomedical visualization" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/furmanova-2024-bvp/", "__class": "Publication" }, { "id": "shilo-2024-vnt", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/200043", "title": "Visual narratives to edutain against misleading visualizations in healthcare", "date": "2024-10", "abstract": "We propose an interactive game based on visual narratives to edutain, i.e., to educate while entertaining, broad audiences against misleading visualizations in healthcare. Uncertainty at various stages of the visualization pipeline may give rise to misleading visual representations. These comprise misleading elements that may negatively impact the audiences by contributing to misinformed decisions, delayed treatments, and a lack of trust in medical information. We investigate whether visual narratives within the setting of an educational game support recognizing and addressing misleading elements in healthcare-related visualizations. Our methodological approach focuses on three key aspects: (i) identifying uncertainty types in the visualization pipeline which could serve as the origin of misleading elements, (ii) designing fictional visual narratives that comprise several misleading elements linking to these uncertainties, and (iii) proposing an interactive game that aids the communication of these misleading visualization elements to broad audiences. The game features eight fictional visual narratives built around misleading visualizations, each with specific assumptions linked to uncertainties. Players assess the correctness of these assumptions to earn points and rewards. In case of incorrect assessments, interactive explanations are provided to enhance understanding For an initial assessment of our game, we conducted a user study with 21 participants. Our study indicates that when participants incorrectly assess assumptions, they also spend more time elaborating on the reasons for their mistakes, indicating a willingness to learn more. The study also provided positive indications on game aspects such as memorability, reinforcement, and engagement, while it gave us pointers for future improvement.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5288, 1410 ], "articleno": "104011", "doi": "10.1016/j.cag.2024.104011", "issn": "1873-7684", "journal": "COMPUTERS & GRAPHICS-UK", "pages": "11", "publisher": "PERGAMON-ELSEVIER SCIENCE LTD", "volume": "123", "research_areas": [], "keywords": [ "Healthcare edutainment", "Interactive game", "Misleading visualizations", "Uncertainty", "Visual narratives" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/shilo-2024-vnt/", "__class": "Publication" }, { "id": "kimmersdorfer-2024-vcpr", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Vertex Compression with Mesh Shaders for Skinned Meshes", "date": "2024-10", "abstract": "Vertex compression helps to enhance the performance of real-time rendering applications, making it a valuable technique in modern computer graphics. In this work, we investigate current state-of-the-art methods for the compression of positions, normals, texture coordinates and blend attributes. Our primary objective is to efficiently compress blend attributes in rigged meshes, particularly focusing on bone weights and indices. We leverage a recent hardware advancement: the mesh shading pipeline. This pipeline enables us to propose a novel compression scheme for blend attributes, which achieves a significant reduction in memory usage of up to 92.75% compared to existing state-of-theart methods using a traditional rendering pipeline. Additionally, we briefly discuss and compare different meshlet building algorithms, meshlet buffer structures, and meshlet extensions within the Vulkan framework. Finally, the proposed codecs are validated through a series of benchmarks focused on resource utilization and performance.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "name": "kimmersdorfer-2024-vcpr-image.png", "type": "image/png", "size": 1866926, "path": "Publication:kimmersdorfer-2024-vcpr", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/kimmersdorfer-2024-vcpr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/kimmersdorfer-2024-vcpr-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1869 ], "date_end": "2024-10", "date_start": "2023-01", "matrikelnr": "01326608", "supervisor": [ 848, 1650, 193 ], "research_areas": [ "Rendering" ], "keywords": [ "compression", "vertex data", "vertex compression", "meshlets", "mesh shaders" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "name": "kimmersdorfer-2024-vcpr-image.png", "type": "image/png", "size": 1866926, "path": "Publication:kimmersdorfer-2024-vcpr", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/kimmersdorfer-2024-vcpr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/kimmersdorfer-2024-vcpr-image:thumb{{size}}.png" }, { "description": "Bachelor thesis", "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kimmersdorfer-2024-vcpr-thesis.pdf", "type": "application/pdf", "size": 2269890, "path": "Publication:kimmersdorfer-2024-vcpr", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/kimmersdorfer-2024-vcpr-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/kimmersdorfer-2024-vcpr-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/", "__class": "Publication" }, { "id": "meka-2024-lpi", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/202164", "title": "Line Perception in Parallel Coordinates under different Aspect Ratios", "date": "2024-10", "abstract": "This thesis investigates the impact of different aspect ratios on the perception of angles and lines in parallel coordinates. Parallel coordinates are a visualization technique for representing multivariate data where each variable is drawn as a parallel axis, and data points are connected by lines across these axes. This method allows for the simultaneous visualization of more than two variables and enables the interpretation of correlation patterns within a given dataset.However, the reliability and accuracy of this interpretation can be significantly influenced by the aspect ratio of the plot. This thesis aims to explore how variations in aspect ratios affect the accuracy and confidence of users in perceiving correlations within parallel coordinates.The methodological approach comprises three components: the development of a web-based visualization tool, a statistical analysis of line and angle parameters, and an empirical user study. The visualization tool enables users to display parallel coordinates in various aspect ratios and analyze the geometric properties of the lines in the plot. The statistical analysis reveals that aspect ratios significantly correlate with the minimum and maximum angles in parallel coordinates, which in turn affects the visual perception and interpretation of the data. These findings are validated through a web-based user study, demonstrating that specific aspect ratios lead to more accurate and reliable correlation estimates. The results underscore considerate usage of flexible aspect ratios to minimize distortion and ensure the reliability of visual data interpretation in parallel coordinates.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1199, "image_height": 556, "name": "meka-2024-lpi-Teaser.png", "type": "image/png", "size": 738921, "path": "Publication:meka-2024-lpi", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/meka-2024-lpi/meka-2024-lpi-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/meka-2024-lpi/meka-2024-lpi-Teaser:thumb{{size}}.png" }, "sync_repositum_override": "date,projects", "repositum_presentation_id": null, "authors": [ 5397 ], "co_supervisor": [ 950 ], "date_end": "2024-10", "date_start": "2024-02", "diploma_examina": "2024-10-09", "doi": "10.34726/hss.2024.119265", "matrikelnr": "12045662", "open_access": "yes", "pages": "113", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [ "Parallel Coordinates", "Aspect Ratio", "Perception" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1199, "image_height": 556, "name": "meka-2024-lpi-Teaser.png", "type": "image/png", "size": 738921, "path": "Publication:meka-2024-lpi", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/meka-2024-lpi/meka-2024-lpi-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/meka-2024-lpi/meka-2024-lpi-Teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "meka-2024-lpi-Thesis.pdf", "type": "application/pdf", "size": 5693734, "path": "Publication:meka-2024-lpi", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/meka-2024-lpi/meka-2024-lpi-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/meka-2024-lpi/meka-2024-lpi-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/meka-2024-lpi/", "__class": "Publication" }, { "id": "Petersen_Viktoria-2024-SBO", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Global optimization and learning for lighting design", "date": "2024-09-30", "abstract": "Global optimisation and learning for lighting design is a work in extension of the Tamashii rendering framework by the Rendering and Modeling Group at TU Wien. Tamashii offers a user interface and implementation to perform a local optimisation task on a scene to find the position of the scene’s light object in order to recreate a given target illumination. We extend the existing framework by implementing a global search for the optimum and additional surrogate models to provide machine learning alternatives to apply various optimisation algorithms. We examine the performance of several different optimisation methods with respect to efficiency, accuracy, and versatility. Furthermore, we compare the use of algorithms in combination with surrogate models versus optimising on the Tamashii model directly.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5337 ], "date_end": "2024-09-30", "date_start": "2024-03-15", "matrikelnr": "e11924496", "supervisor": [ 1946, 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "BSc Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Petersen_Viktoria-2024-SBO-BSc Thesis.pdf", "type": "application/pdf", "size": 12586508, "path": "Publication:Petersen_Viktoria-2024-SBO", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Petersen_Viktoria-2024-SBO/Petersen_Viktoria-2024-SBO-BSc Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/Petersen_Viktoria-2024-SBO/Petersen_Viktoria-2024-SBO-BSc Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Petersen_Viktoria-2024-SBO/", "__class": "Publication" }, { "id": "Dhanoa2024", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "From Analysis to Communication: Supporting Users in Understanding Complex Spreadsheets and Dashboards", "date": "2024-09-26", "abstract": "Advancements in big data processing and interactive visualization tools have led to significant changes in how users analyze and explore their data. This thesis aims to\naddress the challenges resulting from these changes through a two-step approach to support users. We first address the issues at the spreadsheet level before moving on to more complex visual representations in a dashboard environment. We use the Fuzzy Spreadsheet approach at the spreadsheet level to include uncertain information in the decision-making process. Our approach augments traditional spreadsheets with uncertain\ninformation where a cell can hold and display a distribution of values, in addition to other contextually relevant information, such as impact and relationship between cells, to convey sensitivity and robustness information to the user. When users transition from spreadsheet representations to advanced visualization tools such as interactive dashboards, they often face challenges related to their use that can lead them to revert to their old, familiar static analysis tools. With the help of dashboard onboarding, authors can communicate the intended use and purpose of their dashboards, along with the\nworkings of visualizations present on the dashboards, to fill the user’s knowledge gap.\nWe created a process model for dashboard onboarding that formalizes and unifies different onboarding strategies for dashboards and facilitates the design and implementation of new\nonboarding approaches. Using this process model as a base and drawing inspiration from the fields of data storytelling and open-world game design, we developed an approach for\ncrafting semi-automated interactive dashboard tours (D-Tours) to produce an onboarding experience tailored to individual users while preserving their agency. We implemented\nthis concept in a tool called D-Tour Prototype which allows authors to create D-Tours from scratch or using automatic templates. Finally, we provide future directions based\non the insights from this thesis to explore the role of AI in the design and development of dashboard onboarding.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 717, "image_height": 624, "name": "Dhanoa2024-image.JPG", "type": "image/jpeg", "size": 57594, "path": "Publication:Dhanoa2024", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/Dhanoa2024-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/Dhanoa2024-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1892 ], "co_supervisor": [ 1059 ], "date_end": "2024-09-26", "date_start": "2020-10-11", "open_access": "yes", "reviewer_1": [ 166 ], "rigorosum": "2024-10-01", "supervisor": [ 1896 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 717, "image_height": 624, "name": "Dhanoa2024-image.JPG", "type": "image/jpeg", "size": 57594, "path": "Publication:Dhanoa2024", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/Dhanoa2024-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/Dhanoa2024-image:thumb{{size}}.png" }, { "description": null, "filetitle": "PhD Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Dhanoa2024-PhD Thesis.pdf", "type": "application/pdf", "size": 5493271, "path": "Publication:Dhanoa2024", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/Dhanoa2024-PhD Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/Dhanoa2024-PhD Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/", "__class": "Publication" }, { "id": "klaffenboeck-2024-rva", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/209323", "title": "RSVP for VPSA : A Meta Design Study on Rapid Suggestive Visualization Prototyping for Visual Parameter Space Analysis", "date": "2024-09-12", "abstract": "Visual Parameter Space Analysis (VPSA) enables domain scientists to explore input-output relationships of computational models. Existing VPSA applications often feature multi-view visualizations designed by visualization experts for a specific scenario, making it hard for domain scientists to adapt them to their problems without professional help. We present RSVP, the Rapid Suggestive Visualization Prototyping system encoding VPSA knowledge to enable domain scientists to prototype custom visualization dashboards tailored to their specific needs. The system implements a task-oriented, multi-view visualization recommendation strategy over a visualization design space optimized for VPSA to guide users in meeting their analytical demands. We derived the VPSA knowledge implemented in the system by conducting an extensive meta design study over the body of work on VPSA. We show how this process can be used to perform a data and task abstraction, extract a common visualization design space, and derive a task-oriented VisRec strategy. User studies indicate that the system is user-friendly and can uncover novel insights.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 586, "image_height": 568, "name": "klaffenboeck-2024-rva-image.png", "type": "image/png", "size": 169141, "path": "Publication:klaffenboeck-2024-rva", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/klaffenboeck-2024-rva/klaffenboeck-2024-rva-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/klaffenboeck-2024-rva/klaffenboeck-2024-rva-image:thumb{{size}}.png" }, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1598, 5247, 1072, 193, 196 ], "doi": "10.1109/TVCG.2024.3431930", "first_published": "2024-09-12", "issn": "1941-0506", "journal": "IEEE Transactions on Visualization and Computer Graphics", "open_access": "yes", "pages": "18", "publisher": "IEEE COMPUTER SOC", "research_areas": [ "InfoVis" ], "keywords": [ "input-output model", "literature analysis", "mixed-initiative system", "unobtrusive visualization recommendation", "user study" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 586, "image_height": 568, "name": "klaffenboeck-2024-rva-image.png", "type": "image/png", "size": 169141, "path": "Publication:klaffenboeck-2024-rva", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/klaffenboeck-2024-rva/klaffenboeck-2024-rva-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/klaffenboeck-2024-rva/klaffenboeck-2024-rva-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "klaffenboeck-2024-rva-paper.pdf", "type": "application/pdf", "size": 12681537, "path": "Publication:klaffenboeck-2024-rva", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/klaffenboeck-2024-rva/klaffenboeck-2024-rva-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/klaffenboeck-2024-rva/klaffenboeck-2024-rva-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/klaffenboeck-2024-rva/", "__class": "Publication" }, { "id": "wolf-2024-jhd", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Joint Human-Machine Data Exploration Sandbox", "date": "2024-09", "abstract": "Data analysis exploration is becoming increasingly challenging as datasets grow in scale and complexity. The Joint Human-Machine Data Exploration (JDE) framework offers a novel solution for analyzing large, unstructured datasets by integrating human insight with machine learning. The framework facilitates dynamic user interaction and visual exploration through three interconnected views: the data view, frame view, and knowledge view. These views enable users to align data exploration with evolving knowledge models. Implemented as a flexible, modular system using a client-server architecture, the JDE framework supports interactive data manipulation and real-time feedback. This project developed a functional prototype, the JDE sandbox, showcasing the system's potential for enhancing exploratory data analysis. Future work will focus on expanding the framework's capabilities and improving accessibility for a broader audience.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 7680, "image_height": 3915, "name": "wolf-2024-jhd-teaser.png", "type": "image/png", "size": 2648227, "path": "Publication:wolf-2024-jhd", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/wolf-2024-jhd/wolf-2024-jhd-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/wolf-2024-jhd/wolf-2024-jhd-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5238 ], "date_end": "2024-09", "date_start": "2023-09", "matrikelnr": "00925239", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://gitlab.tuwien.ac.at/e193-02-jde/jde-sandbox", "caption": "GitLab", "description": null, "main_file": 1 }, { "href": "https://sandbox.jde.cg.tuwien.ac.at/sandbox", "caption": "demo", "description": "Online demo of the sandbox", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wolf-2024-jhd-report.pdf", "type": "application/pdf", "size": 8752213, "path": "Publication:wolf-2024-jhd", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/wolf-2024-jhd/wolf-2024-jhd-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/wolf-2024-jhd/wolf-2024-jhd-report:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 7680, "image_height": 3915, "name": "wolf-2024-jhd-teaser.png", "type": "image/png", "size": 2648227, "path": "Publication:wolf-2024-jhd", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/wolf-2024-jhd/wolf-2024-jhd-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/wolf-2024-jhd/wolf-2024-jhd-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "d9282" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/wolf-2024-jhd/", "__class": "Publication" }, { "id": "hoffer-toth-com", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "CycleSafely on mobile", "date": "2024-08-12", "abstract": "SFA3D:\n\nZeitplan: Auf Mobile portiert bis Ende März / Anfang April.\n\nSAF3D ist mit Pytorch implementiert worden. Folgende Möglichkeiten gibt es um Pytorch Modelle auf Mobile/Android zu portieren:\n\n- Pytorch Mobile: https://pytorch.org/mobile/home/\n\n- Pytorch Flutter Plugins: https://pub.dev/packages/flutter_pytorch oder https://pub.dev/packages/pytorch_mobile\n\n- Deep Java Library: https://djl.ai/\n\n \n\n3D-Multi-Object-Tracker:\n\nZeitplan: Auf Mobile implementiert bis Ende April.\n\nDa 3DMOT ein non-ml Algorithmus ist, kann er in der dann gewählten Sprache implementiert werden.\n\n \n\nPrecog:\n\nZeitplan: Auf Mobile portiert bis Ende Mai.\n\nPrecog habe ich leider nicht zum Laufen bekommen, da ich nicht alle Daten gefunden habe bzw. nicht sicher war welche benötigt werden und wie sie konfiguriert werden sollen.\n\nPrecog verwendet Tensorflow. Dazu habe ich folgendes gefunden:\n\n- Tensorflow Lite: https://www.tensorflow.org/lite\n\n- Tflite Flutter: https://pub.dev/packages/tflite_flutter\n\n \n\nVergleich zwischen Server und Mobile:\n\nZeitplan: Server und Mobile werden Anfang Juni verglichen, wenn bis dahin alles nach Plan läuft.\n\n \n\nSchriftliche Arbeit:\n\nZeitplan: Mit dem Schreiben wird nach dem Vergleichen angefangen und dafür kann der Rest von Juni verwendet werden. Falls sich eines der Schritte herauszögert, dann kann ich die vorlesungsfreie Zeit im Sommer auch verwenden.\n\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 614, "image_height": 613, "name": "hoffer-toth-com-image.png", "type": "image/png", "size": 164978, "path": "Publication:hoffer-toth-com", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/hoffer-toth-com-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/hoffer-toth-com-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5353 ], "date_end": "2024-08-12", "date_start": "2024-03-11", "matrikelnr": "12122086", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "bicycle", "mobile", "scanning" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 614, "image_height": 613, "name": "hoffer-toth-com-image.png", "type": "image/png", "size": 164978, "path": "Publication:hoffer-toth-com", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/hoffer-toth-com-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/hoffer-toth-com-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "hoffer-toth-com-thesis.pdf", "type": "application/pdf", "size": 6093633, "path": "Publication:hoffer-toth-com", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/hoffer-toth-com-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/hoffer-toth-com-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/", "__class": "Publication" }, { "id": "goel-2024-rdr", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/204000", "title": "Real-Time Decompression and Rasterization of Massive Point Clouds", "date": "2024-08-09", "abstract": "Large-scale capturing of real-world scenes as 3D point clouds (e.g., using LIDAR scanning) generates billions of points that are challenging to visualize. High storage requirements prevent the quick and easy inspection of captured datasets on user-grade hardware. The fastest real-time rendering methods are limited by the available GPU memory and render only around 1 billion points interactively. We show that we can achieve state-of-the-art in both while simultaneously supporting datasets that surpass the capabilities of other methods. We present an on-the-fly point cloud decompression scheme that tightly integrates with software rasterization to reduce on-chip memory requirements by more than 4×. Our method compresses geometry losslessly and provides high visual quality at real-time framerates. We use a GPU-friendly, clipped Huffman encoding for compression. Point clouds are divided into equal-sized batches, which are Huffman-encoded independently. Batches are further subdivided to form easy-to-consume streams of data for massively parallel execution. The compressed point clouds are stored in an access-aware manner to achieve coherent GPU memory access and a high L1 cache hit rate at render time. Our approach can decompress and rasterize up to 120 million Huffman-encoded points per millisecond on-the-fly. We evaluate the quality and performance of our approach on various large datasets against the fastest competing methods. Our approach renders massive 3D point clouds at competitive frame rates and visual quality while consuming significantly less memory, thus unlocking unprecedented performance for the visualization of challenging datasets on commodity GPUs.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "cover", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1695, "image_height": 961, "name": "goel-2024-rdr-cover.jpg", "type": "image/jpeg", "size": 276042, "path": "Publication:goel-2024-rdr", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/goel-2024-rdr/goel-2024-rdr-cover.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/goel-2024-rdr/goel-2024-rdr-cover:thumb{{size}}.png" }, "sync_repositum_override": "projects,date_from,date_to,event,lecturer,location", "repositum_presentation_id": null, "authors": [ 5402, 1116, 5403, 1650 ], "articleno": "48", "date_from": "2024-06-26", "date_to": "2024-06-28", "doi": "10.1145/3675373", "event": "High Performance Graphics", "issn": "2577-6193", "journal": "Proceedings of the ACM on Computer Graphics and Interactive Techniques", "lecturer": [ 1116 ], "location": "Denver, USA", "number": "3", "pages": "15", "pages_from": "1", "pages_to": "15", "publisher": "Association for Computing Machinery (ACM)", "volume": "7", "research_areas": [ "Rendering" ], "keywords": [ "compression", "point cloud", "rasterization", "real-time rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "cover", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1695, "image_height": 961, "name": "goel-2024-rdr-cover.jpg", "type": "image/jpeg", "size": 276042, "path": "Publication:goel-2024-rdr", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/goel-2024-rdr/goel-2024-rdr-cover.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/goel-2024-rdr/goel-2024-rdr-cover:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "d9275" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/goel-2024-rdr/", "__class": "Publication" }, { "id": "cardoso-2024-r-c", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/209907", "title": "Re:Draw - Context Aware Translation as a Controllable Method for Artistic Production", "date": "2024-08", "abstract": "We introduce context-aware translation, a novel method that combines the benefits of inpainting and image-to-image translation, respecting simultaneously the original input and contextual relevance – where existing methods fall short. By doing so, our method opens new avenues for the controllable use of AI within artistic creation, from animation to digital art.\nAs an use case, we apply our method to redraw any hand-drawn animated character eyes based on any design specifications – eyes serve as a focal point that captures viewer attention and conveys a range of emotions; however, the labor-intensive na-\nture of traditional animation often leads to compromises in the complexity and consistency of eye design. Furthermore, we remove the need for production data for training and introduce a new character recognition method that surpasses existing work\nby not requiring fine-tuning to specific productions.\nThis proposed use case could help maintain consistency throughout production and unlock bolder and\nmore detailed design choices without the production cost drawbacks. A user study shows contextaware translation is preferred over existing work 95.16% of the time.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 343, "image_height": 294, "name": "cardoso-2024-r-c-image.bmp", "type": "image/bmp", "size": 303462, "path": "Publication:cardoso-2024-r-c", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/cardoso-2024-r-c-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/cardoso-2024-r-c-image:thumb{{size}}.png" }, "sync_repositum_override": "date,projects", "repositum_presentation_id": null, "authors": [ 1639, 5437, 1519, 193 ], "booktitle": "Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-24)", "date_from": "2024-08-03", "date_to": "2024-08-09", "doi": "10.24963/ijcai.2024/842", "event": "33rd International Joint Conference on Artificial Intelligence (IJCAI 2024)", "isbn": "978-1-956792-04-1", "lecturer": [ 1639 ], "location": "Jeju Island", "pages": "9", "pages_from": "7609", "pages_to": "7617", "publisher": "International Joint Conferences on Artificial Intelligence", "research_areas": [ "Rendering" ], "keywords": [ "Application domains: Images, movies and visual arts", "Application domains: Computer Graphics and Animation", "Methods and resources: AI systems for collaboration and co-creation", "Methods and resources: Machine learning, deep learning, neural models, reinforcement learning", "Theory and philosophy of arts and creativity in AI systems: Social (multi-agent) creativity and human-computer co-creation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 343, "image_height": 294, "name": "cardoso-2024-r-c-image.bmp", "type": "image/bmp", "size": 303462, "path": "Publication:cardoso-2024-r-c", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/cardoso-2024-r-c-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/cardoso-2024-r-c-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "cardoso-2024-r-c-paper.pdf", "type": "application/pdf", "size": 2952059, "path": "Publication:cardoso-2024-r-c", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/cardoso-2024-r-c-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/cardoso-2024-r-c-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "EVOCATION" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/", "__class": "Publication" }, { "id": "kerbl-2024-ah3", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/220026", "title": "A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets", "date": "2024-07-19", "abstract": "Novel view synthesis has seen major advances in recent years, with 3D Gaussian splatting offering an excellent level of visual quality, fast training and real-time rendering. However, the resources needed for training and rendering inevitably limit the size of the captured scenes that can be represented with good visual quality. We introduce a hierarchy of 3D Gaussians that preserves visual quality for very large scenes, while offering an efficient Level-of-Detail (LOD) solution for efficient rendering of distant content with effective level selection and smooth transitions between levels. We introduce a divide-and-conquer approach that allows us to train very large scenes in independent chunks. We consolidate the chunks into a hierarchy that can be optimized to further improve visual quality of Gaussians merged into intermediate nodes. Very large captures typically have sparse coverage of the scene, presenting many challenges to the original 3D Gaussian splatting training method; we adapt and regularize training to account for these issues. We present a complete solution, that enables real-time rendering of very large scenes and can adapt to available resources thanks to our LOD method. We show results for captured scenes with up to tens of thousands of images with a simple and affordable rig, covering trajectories of up to several kilometers and lasting up to one hour.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "date_from,date_to,event,lecturer,location", "repositum_presentation_id": null, "authors": [ 1650, 5532, 5372, 193, 5373, 5503 ], "articleno": "62", "date_from": "2024-07-28", "date_to": "2024-08-01", "doi": "10.1145/3658160", "event": "ACM SIGGRAPH 2024", "issn": "1557-7368", "journal": "ACM Transactions on Graphics", "lecturer": [ 5532 ], "location": "Denver, USA", "number": "4", "pages": "15", "pages_from": "1", "pages_to": "15", "publisher": "ASSOC COMPUTING MACHINERY", "volume": "43", "research_areas": [ "Rendering" ], "keywords": [ "real-time rendering", "3d gaussian splatting", "level-of-detail", "Large Scenes" ], "weblinks": [ { "href": "https://repo-sam.inria.fr/fungraph/hierarchical-3d-gaussians/", "caption": "project page", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kerbl-2024-ah3-paper.pdf", "type": "application/pdf", "size": 10836570, "path": "Publication:kerbl-2024-ah3", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kerbl-2024-ah3/kerbl-2024-ah3-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/kerbl-2024-ah3/kerbl-2024-ah3-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d9275" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kerbl-2024-ah3/", "__class": "Publication" }, { "id": "koenigsberger-2024-msu", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/206831", "title": "Micromechanics stiffness upscaling of plant fiber-reinforced composites", "date": "2024-07-15", "abstract": "Fiber-reinforced green composites made from natural plant fibers are an increasingly popular sustainable alternative to conventional high-performance composite materials. Given the variety of natural fibers themselves, and the even larger variety of possible composites with specific fiber dosage, fiber orientation distribution, fiber length distribution, and fiber–matrix bond characteristics, micromechanics-based modeling is essential for characterizing the macroscopic response of these composites. Herein, an analytical multiscale micromechanics model for elastic homogenization is developed, capable of capturing the variety. The model features (i) a nanoscopic representation of the natural fibers to predict the fiber stiffness from the universal stiffness of the fiber constituents, mainly cellulose, (ii) a spring-interface model to quantify the compliance of the fiber–matrix bond, and (iii) the ability to model any (and any combination of) orientation distribution and aspect ratio distribution. Validation is performed by comparing the predicted stiffness to experimental results for as many as 73 composites available in the literature. Extensive sensitivity analyses quantify the composite stiffening upon increasing fiber volume fraction, fiber alignment, fiber length, and fiber–matrix interface stiffness, respectively.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 5423, 5424, 5425, 193, 5209 ], "articleno": "111571", "doi": "10.1016/j.compositesb.2024.111571", "issn": "1879-1069", "journal": "COMPOSITES PART B-ENGINEERING", "open_access": "yes", "pages": "20", "pages_from": "1", "pages_to": "20", "publisher": "ELSEVIER SCI LTD", "volume": "281", "research_areas": [ "Modeling" ], "keywords": [ "Biocomposite", "Elasticity", "Fiber orientation", "Multiscale modeling", "Natural fibers", "Weak interface", "Young's modulus" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "koenigsberger-2024-msu-paper.pdf", "type": "application/pdf", "size": 2290463, "path": "Publication:koenigsberger-2024-msu", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/koenigsberger-2024-msu/koenigsberger-2024-msu-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/koenigsberger-2024-msu/koenigsberger-2024-msu-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/koenigsberger-2024-msu/", "__class": "Publication" }, { "id": "Klaus2024", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Multidimensional Clustering for Machine Data Analysis", "date": "2024-07-11", "abstract": "Machine data analysis is an important aspect in modern industrial facilities, as stakeholders want their machinery to be as efficient as possible. To this end, they utilize the IIoT, enabling the analysis of gathered machine data. To gain useful information through the aggregated data, Big Data analytics are invaluable to the domain experts conducting\nmachine data analysis. The insights gained through Big Data analytics allow for a better efficiency of the facility by enabling data-driven decisions.\nThis thesis sets out to explore the feasibility of multidimensional clustering for machine data analysis in a web-based environment. To do this, we developed an application that\ncombines statistical methods and several visualization techniques into a web interface.\nWe evaluated the tool based on its real-world applicability and performance. The developed application has produced promising results, when employed on multivariate time series from industrial machinery, and thereby provides a robust foundation for future improvements.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 917, "image_height": 520, "name": "Klaus2024-image.JPG", "type": "image/jpeg", "size": 79072, "path": "Publication:Klaus2024", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Klaus2024/Klaus2024-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/Klaus2024/Klaus2024-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5376 ], "date_end": "2024-07-11", "date_start": "2023-11-11", "matrikelnr": "12120487", "supervisor": [ 166 ], "research_areas": [ "NetVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Klaus2024-Bachelor thesis.pdf", "type": "application/pdf", "size": 7283210, "path": "Publication:Klaus2024", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Klaus2024/Klaus2024-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/Klaus2024/Klaus2024-Bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 917, "image_height": 520, "name": "Klaus2024-image.JPG", "type": "image/jpeg", "size": 79072, "path": "Publication:Klaus2024", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Klaus2024/Klaus2024-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/Klaus2024/Klaus2024-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Klaus2024/", "__class": "Publication" }, { "id": "brandmair-2024-rust", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Rust Tutorial", "date": "2024-07", "abstract": "A 2-day Rust tutorial was prepared and given which introduces the Rust programming language to Computer Graphics students and assistants. Its contents are based on Google's \"Comprehensive Rust\" tutorial, trimmed down to two days, and adapted to the target audience (expected to have a solid background in systems programming and a strong background in graphics programming).", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2048, "image_height": 1024, "name": "brandmair-2024-rust-image.jpg", "type": "image/jpeg", "size": 136698, "path": "Publication:brandmair-2024-rust", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5377 ], "date_end": "2024-07", "date_start": "2024-06", "matrikelnr": "12024754", "supervisor": [ 848, 193 ], "research_areas": [], "keywords": [ "Rust", "Systems Programming", "Tutorial" ], "weblinks": [ { "href": "https://github.com/stefnotch/rust-tutorial", "caption": "Rust Tutorial on GitHub", "description": "A Rust tutorial, based and adapted from Google's Comprehensive Rust tutorial", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2048, "image_height": 1024, "name": "brandmair-2024-rust-image.jpg", "type": "image/jpeg", "size": 136698, "path": "Publication:brandmair-2024-rust", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-image:thumb{{size}}.png" }, { "description": "Partial video recording of day 1, forenoon", "filetitle": "video recording 1", "main_file": false, "use_in_gallery": false, "access": "public", "name": "brandmair-2024-rust-video recording 1.mp4", "type": "video/mp4", "size": 127989764, "path": "Publication:brandmair-2024-rust", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-video recording 1.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-video recording 1:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-video recording 1:video.mp4" }, { "description": "Partial video recording of day 1, afternoon", "filetitle": "video recording 2", "main_file": false, "use_in_gallery": false, "access": "public", "name": "brandmair-2024-rust-video recording 2.mp4", "type": "video/mp4", "size": 83261837, "path": "Publication:brandmair-2024-rust", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-video recording 2.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-video recording 2:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-video recording 2:video.mp4" }, { "description": "Partial video recording of day 2, forenoon", "filetitle": "video recording 3", "main_file": false, "use_in_gallery": false, "access": "public", "name": "brandmair-2024-rust-video recording 3.mp4", "type": "video/mp4", "size": 326893062, "path": "Publication:brandmair-2024-rust", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-video recording 3.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-video recording 3:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-video recording 3:video.mp4" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/", "__class": "Publication" }, { "id": "melcher-2024-asi", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Acoustics Simulation in the Browser - Making Roommode Calculation with the Finite Element Method Accessible for Non-Experts", "date": "2024-06-27", "abstract": "Rooms that are used for communication or entertainment need suitable room acoustics.\nOften acoustics simulation is a fundamental part of the design of such rooms. While\nexpensive and/or hard to use software packages exist that have a wide range of scientific\napplications, cheap and easy to use possibilities have not been available in the past.\nIn the course of this work, a prototype was developed that aims to simplify the specific\nuse case of calculating and visualizing room modes, a specific undesirable phenomenon in\nroom acoustics.\nIf possible, meaningful values are automatically assumed without user input. High\nautomation and good user guidance are the focus.\nInterviews with test users have shown that not only do they manage to visualize room\nmodes without instruction, but also that they only need 1-2 minutes during their first\nuse to obtain their first calculation result.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "name": "melcher-2024-asi-image.png", "type": "image/png", "size": 206234, "path": "Publication:melcher-2024-asi", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/melcher-2024-asi/melcher-2024-asi-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/melcher-2024-asi/melcher-2024-asi-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5447 ], "date_end": "2024-06", "date_start": "2024-01", "matrikelnr": "00004876", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "bachelor-thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "melcher-2024-asi-bachelor-thesis.pdf", "type": "application/pdf", "size": 2621026, "path": "Publication:melcher-2024-asi", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/melcher-2024-asi/melcher-2024-asi-bachelor-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/melcher-2024-asi/melcher-2024-asi-bachelor-thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "name": "melcher-2024-asi-image.png", "type": "image/png", "size": 206234, "path": "Publication:melcher-2024-asi", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/melcher-2024-asi/melcher-2024-asi-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/melcher-2024-asi/melcher-2024-asi-image:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/melcher-2024-asi/", "__class": "Publication" }, { "id": "marin-2024-rcf", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/202374", "title": "Reconstructing Curves from Sparse Samples on Riemannian Manifolds", "date": "2024-06", "abstract": "Reconstructing 2D curves from sample points has long been a critical challenge in computer graphics, finding essential applications in vector graphics. The design and editing of curves on surfaces has only recently begun to receive attention, primarily relying on human assistance, and where not, limited by very strict sampling conditions. In this work, we formally improve on the state-of-the-art requirements and introduce an innovative algorithm capable of reconstructing closed curves directly on surfaces from a given sparse set of sample points. We extend and adapt a state-of-the-art planar curve reconstruction method to the realm of surfaces while dealing with the challenges arising from working on non-Euclidean domains. We demonstrate the robustness of our method by reconstructing multiple curves on various surface meshes. We explore novel potential applications of our approach, allowing for automated reconstruction of curves on Riemannian manifolds.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "name": "marin-2024-rcf-image.png", "type": "image/png", "size": 706684, "path": "Publication:marin-2024-rcf", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-rcf/marin-2024-rcf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-rcf/marin-2024-rcf-image:thumb{{size}}.png" }, "sync_repositum_override": "date_from,date_to,event,lecturer,location,pages_from,pages_to", "repositum_presentation_id": "20.500.12708/202064", "authors": [ 1848, 5388, 5389, 948, 193 ], "articleno": "e15136", "date_from": "2024-06-24", "date_to": "2024-06-26", "doi": "10.1111/cgf.15136", "event": "Symposium on Geometry Processing", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1848 ], "location": "Boston", "number": "5", "pages": "14", "pages_from": "-", "pages_to": "-", "publisher": "WILEY", "volume": "43", "research_areas": [], "keywords": [ "CCS Concepts", "Graph algorithms", "Mesh geometry models", "Paths and connectivity problems" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "name": "marin-2024-rcf-image.png", "type": "image/png", "size": 706684, "path": "Publication:marin-2024-rcf", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-rcf/marin-2024-rcf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-rcf/marin-2024-rcf-image:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-rcf/", "__class": "Publication" }, { "id": "pahr-2024-ieo", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/199161", "title": "Investigating the Effect of Operation Mode and Manifestation on Physicalizations of Dynamic Processes", "date": "2024-06", "abstract": "We conducted a study to systematically investigate the communication of complex dynamic processes along a two-dimensional design space, where the axes represent a representation's manifestation (physical or virtual) and operation (manual or automatic). We exemplify the design space on a model embodying cardiovascular pathologies, represented by a mechanism where a liquid is pumped into a draining vessel, with complications illustrated through modifications to the model. The results of a mixed-methods lab study with 28 participants show that both physical manifestation and manual operation have a strong positive impact on the audience's engagement. The study does not show a measurable knowledge increase with respect to cardiovascular pathologies using manually operated physical representations. However, subjectively, participants report a better understanding of the process—mainly through non-visual cues like haptics, but also auditory cues. The study also indicates an increased task load when interacting with the process, which, however, seems to play a minor role for the participants. Overall, the study shows a clear potential of physicalization for the communication of complex dynamic processes, which only fully unfold if observers have to chance to interact with the process.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2634, "image_height": 1232, "name": "pahr-2024-ieo-teaser.png", "type": "image/png", "size": 172079, "path": "Publication:pahr-2024-ieo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-ieo/pahr-2024-ieo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-ieo/pahr-2024-ieo-teaser:thumb{{size}}.png" }, "sync_repositum_override": "projects,date_from,date_to,event,lecturer,pages_from,pages_to", "repositum_presentation_id": null, "authors": [ 1813, 1850, 1464, 1110, 1410 ], "articleno": "e15106", "date_from": "2024-06-27", "date_to": "2024-06-31", "doi": "10.1111/cgf.15106", "event": "EUROVIS", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1813 ], "number": "3", "pages": "12", "pages_from": "1", "pages_to": "12", "publisher": "WILEY", "volume": "43", "research_areas": [ "InfoVis", "MedVis", "Perception" ], "keywords": [ "Data Physicalization", "Study", "Cardiovascular Diseases", "Edutainment", "Human Computer Interaction (HCI)", "Mixed Methods" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2634, "image_height": 1232, "name": "pahr-2024-ieo-teaser.png", "type": "image/png", "size": 172079, "path": "Publication:pahr-2024-ieo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-ieo/pahr-2024-ieo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-ieo/pahr-2024-ieo-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-ieo/", "__class": "Publication" }, { "id": "ohrhallinger_stefan-2024-inv", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Sampling and reconstructing point clouds", "date": "2024-05-28", "abstract": "Curve and surface reconstruction from unstructured points represent a fundamental problem in computer graphics and computer vision, with many applications. The quest for better solutions for this ill-posed problem is riddled with various kinds of artifacts such as noise, outliers, and missing data.\n\nMoreover, the reconstruction problem usually implies further input requirements: how many samples do we need for a successful reconstruction, what properties should these samples satisfy and how can we obtain such sets. And once we obtain these point samples, how can we extract connectivity that best approximates the initial surface they have been sampled from?\n\nWe will discuss about various sampling strategies, corresponding reconstruction methods, with multiple applications in automating sketch coloring, adaptive meshing for faster simulations, and cultural heritage.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1310, "image_height": 596, "name": "ohrhallinger_stefan-2024-inv-image.png", "type": "image/png", "size": 762834, "path": "Publication:ohrhallinger_stefan-2024-inv", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ohrhallinger_stefan-2024-inv/ohrhallinger_stefan-2024-inv-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ohrhallinger_stefan-2024-inv/ohrhallinger_stefan-2024-inv-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948, 1848 ], "event": "TU Graz", "location": "Graz", "research_areas": [ "Geometry" ], "keywords": [ "curve reconstruction", "surface reconstruction", "sampling" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1310, "image_height": 596, "name": "ohrhallinger_stefan-2024-inv-image.png", "type": "image/png", "size": 762834, "path": "Publication:ohrhallinger_stefan-2024-inv", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ohrhallinger_stefan-2024-inv/ohrhallinger_stefan-2024-inv-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ohrhallinger_stefan-2024-inv/ohrhallinger_stefan-2024-inv-image:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ohrhallinger_stefan-2024-inv/", "__class": "Publication" }, { "id": "matt-2024-cvil", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/199888", "title": "cVIL: Class-Centric Visual Interactive Labeling", "date": "2024-05-27", "abstract": "We present cVIL, a class-centric approach to visual interactive labeling, which facilitates human annotation of large and complex image data sets. cVIL uses different property measures to support instance labeling for labeling difficult instances and batch labeling to quickly label easy instances. Simulated experiments reveal that cVIL with batch labeling can outperform traditional labeling approaches based on active learning. In a user study, cVIL led to better accuracy and higher user preference compared to a traditional instance-based visual interactive labeling approach based on 2D scatterplots.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Screenshot of cVIL as employed in the user study", "filetitle": "cVIL teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1104, "image_height": 449, "name": "matt-2024-cvil-cVIL teaser.png", "type": "image/png", "size": 293869, "path": "Publication:matt-2024-cvil", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvil/matt-2024-cvil-cVIL teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvil/matt-2024-cvil-cVIL teaser:thumb{{size}}.png" }, "sync_repositum_override": "abstract,projects,open_access", "repositum_presentation_id": null, "authors": [ 5263, 5370, 1110 ], "booktitle": "Eurographics Proceedings", "date_from": "2024-05-27", "date_to": "2024-05-27", "doi": "10.2312/eurova.20241113", "editor": "El-Assady, Mennatallah and Schulz, Hans-Jorg", "event": "EuroVis Workshop on Visual Analytics (EuroVA 2024)", "isbn": "978-3-03868-056-7", "lecturer": [ 5263 ], "location": "Aarhus", "open_access": "yes", "pages": "6", "publisher": "Eurographics", "research_areas": [ "InfoVis" ], "keywords": [ "Visual Analytics", "Interactive Machine Learning", "User Interface Design" ], "weblinks": [ { "href": "https://diglib.eg.org/server/api/core/bitstreams/c18fafcc-b4b4-4e51-bd2f-cec056c6d93a/content", "caption": "paper", "description": null, "main_file": 1 }, { "href": "https://gitlab.tuwien.ac.at/e193-02-jde/lava", "caption": "GitLab", "description": null, "main_file": 1 } ], "files": [ { "description": "Screenshot of cVIL as employed in the user study", "filetitle": "cVIL teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1104, "image_height": 449, "name": "matt-2024-cvil-cVIL teaser.png", "type": "image/png", "size": 293869, "path": "Publication:matt-2024-cvil", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvil/matt-2024-cvil-cVIL teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvil/matt-2024-cvil-cVIL teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "d9282" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvil/", "__class": "Publication" }, { "id": "lipp-2024-val", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/203067", "title": "View-Independent Adjoint Light Tracing for Lighting Design Optimization", "date": "2024-05-22", "abstract": "Differentiable rendering methods promise the ability to optimize various parameters of three-dimensional (3D) scenes to achieve a desired result. However, lighting design has so far received little attention in this field. In this article, we introduce a method that enables continuous optimization of the arrangement of luminaires in a 3D scene via differentiable light tracing. Our experiments show two major issues when attempting to apply existing methods from differentiable path tracing to this problem: First, many rendering methods produce images, which restricts the ability of a designer to define lighting objectives to image space. Second, most previous methods are designed for scene geometry or material optimization and have not been extensively tested for the case of optimizing light sources. Currently available differentiable ray-tracing methods do not provide satisfactory performance, even on fairly basic test cases in our experience. In this article, we propose, to the best of our knowledge, a novel adjoint light tracing method that overcomes these challenges and enables gradient-based lighting design optimization in a view-independent (camera-free) way. Thus, we allow the user to paint illumination targets directly onto the 3D scene or use existing baked illumination data (e.g., light maps). Using modern ray-tracing hardware, we achieve interactive performance. We find light tracing advantageous over path tracing in this setting, as it naturally handles irregular geometry, resulting in less noise and improved optimization convergence. We compare our adjoint gradients to state-of-the-art image-based differentiable rendering methods. We also demonstrate that our gradient data works with various common optimization algorithms, providing good convergence behaviour. Qualitative comparisons with real-world scenes underline the practical applicability of our method.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1469, "image_height": 1228, "name": "lipp-2024-val-preview.jpg", "type": "image/jpeg", "size": 264705, "path": "Publication:lipp-2024-val", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/lipp-2024-val/lipp-2024-val-preview.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/lipp-2024-val/lipp-2024-val-preview:thumb{{size}}.png" }, "sync_repositum_override": "event,lecturer", "repositum_presentation_id": null, "authors": [ 1525, 1946, 1949, 1063, 193 ], "articleno": "35", "doi": "10.1145/3662180", "event": "SIGGRAPH 2024", "issn": "1557-7368", "journal": "ACM Transactions on Graphics", "number": "3", "open_access": "yes", "pages": "16", "publisher": "ASSOC COMPUTING MACHINERY", "volume": "43", "research_areas": [ "Rendering" ], "keywords": [ "differentiable rendering", "global illumination", "Lighting design", "optimization", "ray tracing" ], "weblinks": [], "files": [ { "description": null, "filetitle": "preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1469, "image_height": 1228, "name": "lipp-2024-val-preview.jpg", "type": "image/jpeg", "size": 264705, "path": "Publication:lipp-2024-val", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/lipp-2024-val/lipp-2024-val-preview.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/lipp-2024-val/lipp-2024-val-preview:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/lipp-2024-val/", "__class": "Publication" }, { "id": "eichner-2024-erv", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Effizientes Rendern von Wäldern mittels Gruppierter Detailgrade in 3D-Geoinformationssystemen", "date": "2024-05-15", "abstract": "Interactive visualization is important for many workflows. Especially so in the context\nof 3D geo-informations systems, where large quantities of data have to be processed\nand presented to the user at interactive speeds for productivity and orientation in the\ngeo-spatial context. In heavily forested countries like Austria enormous amounts of\ngeometry have to be drawn when visualizing forests. Naïve rendering approaches fail,\neven when using heavily simplified geometry for the individual trees. The region in which\ndetails are necessary is small and changes frequently. A major part of the scene is far\naway and needs little detail. These constraints are what this thesis attempts to find a\nsolution for. Thus each tree is represented by a billboard, if not close to the camera. To\ndecrease the computational complexity of selecting the appropriate level of detail for all\ntrees, they are grouped into batches, for which frustum culling and level of detail selection\nhappens. This new approach is implemented, qualitatively evaluated, and compared with\nexisting alternative approaches. Comparison of the approaches on a stress test scene\nshows that our new approach can be between 1.7 and 6 times faster than the approaches\ntested against depending on the scenario, while barely reducing visual quality.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "name": "eichner-2024-erv-image.png", "type": "image/png", "size": 984848, "path": "Publication:eichner-2024-erv", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/eichner-2024-erv/eichner-2024-erv-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/eichner-2024-erv/eichner-2024-erv-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5448 ], "date_end": "2024-05", "date_start": "2024-01", "matrikelnr": "11808244", "supervisor": [ 166 ], "research_areas": [ "InfoVis", "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "bachelor-thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "eichner-2024-erv-bachelor-thesis.pdf", "type": "application/pdf", "size": 6457572, "path": "Publication:eichner-2024-erv", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/eichner-2024-erv/eichner-2024-erv-bachelor-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/eichner-2024-erv/eichner-2024-erv-bachelor-thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "name": "eichner-2024-erv-image.png", "type": "image/png", "size": 984848, "path": "Publication:eichner-2024-erv", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/eichner-2024-erv/eichner-2024-erv-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/eichner-2024-erv/eichner-2024-erv-image:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/eichner-2024-erv/", "__class": "Publication" }, { "id": "papantonakis-2024-rmf", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/198651", "title": "Reducing the Memory Footprint of 3D Gaussian Splatting", "date": "2024-05-13", "abstract": "3D Gaussian splatting provides excellent visual quality for novel view synthesis, with fast training and realtime rendering; unfortunately, the memory requirements of this method for storing and transmission are unreasonably high. We first analyze the reasons for this, identifying three main areas where storage can be reduced: the number of 3D Gaussian primitives used to represent a scene, the number of coefficients for the spherical harmonics used to represent directional radiance, and the precision required to store Gaussian primitive attributes. We present a solution to each of these issues. First, we propose an efficient, resolution-aware primitive pruning approach, reducing the primitive count by half. Second, we introduce an adaptive adjustment method to choose the number of coefficients used to represent directional radiance for each Gaussian primitive, and finally a codebook-based quantization method, together with a half-float representation for further memory reduction. Taken together, these three components result in a x27 reduction in overall size on disk on the standard datasets we tested, along with a x1.7 speedup in rendering speed. We demonstrate our method on standard datasets and show how our solution results in significantly reduced download times when using the method on a mobile device (see Fig. 1).", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 5371, 5372, 1650, 5373, 803 ], "articleno": "16", "doi": "10.1145/3651282", "issn": "2577-6193", "journal": "Proceedings of the ACM on Computer Graphics and Interactive Techniques", "number": "1", "pages": "17", "pages_from": "1", "pages_to": "17", "publisher": "Association for Computing Machinery (ACM)", "volume": "7", "research_areas": [], "keywords": [ "3D gaussian splatting", "memory reduction", "novel view synthesis", "radiance fields" ], "weblinks": [], "files": [], "projects_workgroups": [ "d9275", "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/papantonakis-2024-rmf/", "__class": "Publication" }, { "id": "SCHUETZ-2024-SIMLOD", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/208716", "title": "SimLOD: Simultaneous LOD Generation and Rendering for Point Clouds", "date": "2024-05-13", "abstract": "LOD construction is typically implemented as a preprocessing step that requires users to wait before they are able to view the results in real time. We propose an incremental LOD generation approach for point clouds that allows us to simultaneously load points from disk, update an octree-based level-of-detail representation, and render the intermediate results in real time while additional points are still being loaded from disk. LOD construction and rendering are both implemented in CUDA and share the GPU’s processing power, but each incremental update is lightweight enough to leave enough time to maintain real-time frame rates. Our approach is able to stream points from an SSD and update the octree on the GPU at rates of up to 580 million points per second (~9.3GB/s) on an RTX 4090 and a PCIe 5.0 SSD. Depending on the data set, our approach spends an average of about 1 to 2 ms to incrementally insert 1 million points into the octree, allowing us to insert several million points per frame into the LOD structure and render the intermediate results within the same frame.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Rendered Point Cloud to the left and points/voxels colored by the containing octree node to the right.", "filetitle": "SimLOD", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1911, "image_height": 1072, "name": "SCHUETZ-2024-SIMLOD-SimLOD.jpg", "type": "image/jpeg", "size": 323598, "path": "Publication:SCHUETZ-2024-SIMLOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/SCHUETZ-2024-SIMLOD-SimLOD.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/SCHUETZ-2024-SIMLOD-SimLOD:thumb{{size}}.png" }, "sync_repositum_override": "event", "repositum_presentation_id": null, "authors": [ 1116, 1857, 193 ], "articleno": "17", "date_from": "2023-05", "date_to": "2023-05", "doi": "10.1145/3651287", "event": "ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games 2024", "issn": "2577-6193", "journal": "Proceedings of the ACM on Computer Graphics and Interactive Techniques", "lecturer": [ 1116 ], "note": "Source Code: https://github.com/m-schuetz/SimLOD", "number": "1", "open_access": "yes", "pages": "20", "publisher": "Association for Computing Machinery (ACM)", "volume": "7", "research_areas": [ "Rendering" ], "keywords": [ "LOD", "real-time rendering", "Point Cloud Rendering", "rasterization", "Octree" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "SCHUETZ-2024-SIMLOD-paper.pdf", "type": "application/pdf", "size": 5928589, "path": "Publication:SCHUETZ-2024-SIMLOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/SCHUETZ-2024-SIMLOD-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/SCHUETZ-2024-SIMLOD-paper:thumb{{size}}.png" }, { "description": "Rendered Point Cloud to the left and points/voxels colored by the containing octree node to the right.", "filetitle": "SimLOD", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1911, "image_height": 1072, "name": "SCHUETZ-2024-SIMLOD-SimLOD.jpg", "type": "image/jpeg", "size": 323598, "path": "Publication:SCHUETZ-2024-SIMLOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/SCHUETZ-2024-SIMLOD-SimLOD.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/SCHUETZ-2024-SIMLOD-SimLOD:thumb{{size}}.png" } ], "projects_workgroups": [ "d9275", "d4386" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/", "__class": "Publication" }, { "id": "unterguggenberger-2024-fropo", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/199275", "title": "Fast Rendering of Parametric Objects on Modern GPUs", "date": "2024-05", "abstract": "Parametric functions are an extremely efficient representation for 3D geometry, capable of compactly modelling highly complex objects. Once specified, parametric 3D objects allow for visualization at arbitrary levels of detail, at no additional memory cost, limited only by the amount of evaluated samples. However, mapping the sample evaluation to the hardware rendering pipelines of modern graphics processing units (GPUs) is not trivial. This has given rise to several specialized solutions, each targeting interactive rendering of a constrained set of parametric functions. In this paper, we propose a general method for efficient rendering of parametrically defined 3D objects. Our solution is carefully designed around modern hardware architecture. Our method adaptively analyzes, allocates and evaluates parametric function samples to produce high-quality renderings. Geometric precision can be modulated from few pixels down to sub-pixel level, enabling real-time frame rates of several 100 frames per second (FPS) for various parametric functions. We propose a dedicated level-of-detail (LOD) stage, which outputs patches of similar geometric detail to a subsequent rendering stage that uses either a hardware tessellation-based approach or performs point-based softare rasterization. Our method requires neither preprocessing nor caching, and the proposed LOD mechanism is fast enough to run each frame. Hence, our approach also lends itself to animated parametric objects. We demonstrate the benefits of our method over a state-of-the-art spherical harmonics (SH) glyph rendering method, while showing its flexibility on a range of other demanding shapes.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Teaser image, different parametric objects", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1440, "image_height": 1364, "name": "unterguggenberger-2024-fropo-image.png", "type": "image/png", "size": 2235242, "path": "Publication:unterguggenberger-2024-fropo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/unterguggenberger-2024-fropo-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/unterguggenberger-2024-fropo-image:thumb{{size}}.png" }, "sync_repositum_override": "date,projects", "repositum_presentation_id": null, "authors": [ 848, 1525, 193, 1650, 1116 ], "booktitle": "EGPGV24: Eurographics Symposium on Parallel Graphics and Visualization", "date_from": "2024-05-27", "date_to": "2024-05-27", "doi": "10.2312/pgv.20241129", "event": "Eurographics Symposium on Parallel Graphics and Visualization (2024)", "isbn": "978-3-03868-243-1", "lecturer": [ 848 ], "location": "Odense", "open_access": "yes", "pages": "12", "publisher": "The Eurographics Association", "research_areas": [ "Rendering" ], "keywords": [ "Tessellation Shaders", "Point-Based Rendering", "Parametric Objects", "Fast Rendering", "Modern GPUs" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/FastRenderingOfParametricObjects", "caption": "FastRenderingOfParametricObjects", "description": "Source Code on GitHub", "main_file": 0 } ], "files": [ { "description": "Teaser image, different parametric objects", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1440, "image_height": 1364, "name": "unterguggenberger-2024-fropo-image.png", "type": "image/png", "size": 2235242, "path": "Publication:unterguggenberger-2024-fropo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/unterguggenberger-2024-fropo-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/unterguggenberger-2024-fropo-image:thumb{{size}}.png" }, { "description": "Published Paper", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "unterguggenberger-2024-fropo-paper.pdf", "type": "application/pdf", "size": 17591180, "path": "Publication:unterguggenberger-2024-fropo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/unterguggenberger-2024-fropo-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/unterguggenberger-2024-fropo-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d9275", "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/", "__class": "Publication" }, { "id": "kovacs-2024-smt", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/200040", "title": "Surface-aware Mesh Texture Synthesis with Pre-trained 2D CNNs", "date": "2024-05", "abstract": "Mesh texture synthesis is a key component in the automatic generation of 3D content. Existing learning-based methods have drawbacks—either by disregarding the shape manifold during texture generation or by requiring a large number of different views to mitigate occlusion-related inconsistencies. In this paper, we present a novel surface-aware approach for mesh texture synthesis that overcomes these drawbacks by leveraging the pre-trained weights of 2D Convolutional Neural Networks (CNNs) with the same architecture, but with convolutions designed for 3D meshes. Our proposed network keeps track of the oriented patches surrounding each texel, enabling seamless texture synthesis and retaining local similarity to classical 2D convolutions with square kernels. Our approach allows us to synthesize textures that account for the geometric content of mesh surfaces, eliminating discontinuities and achieving comparable quality to 2D image synthesis algorithms. We compare our approach with state-of-the-art methods where, through qualitative and quantitative evaluations, we demonstrate that our approach is more effective for a variety of meshes and styles, while also producing visually appealing and consistent textures on meshes.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1950, 1919, 1410 ], "articleno": "e15016", "doi": "10.1111/cgf.15016", "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "2", "pages": "13", "publisher": "WILEY", "volume": "43", "research_areas": [], "keywords": [ "Deep learning (DL)", "Computer Graphics", "Texture Synthesis" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kovacs-2024-smt/", "__class": "Publication" }, { "id": "rasoulzadeh-2024-strokes2surface", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/208007", "title": "Strokes2Surface: Recovering Curve Networks From 4D Architectural Design Sketches", "date": "2024-05", "abstract": "We present Strokes2Surface, an offline geometry reconstruction pipeline that recovers well-connected curve networks from imprecise 4D sketches to bridge concept design and digital modeling stages in architectural design. The input to our pipeline consists of 3D strokes' polyline vertices and their timestamps as the 4th dimension, along with additional metadata recorded throughout sketching. Inspired by architectural sketching practices, our pipeline combines a classifier and two clustering models to achieve its goal. First, with a set of extracted hand-engineered features from the sketch, the classifier recognizes the type of individual strokes between those depicting boundaries (Shape strokes) and those depicting enclosed areas (Scribble strokes). Next, the two clustering models parse strokes of each type into distinct groups, each representing an individual edge or face of the intended architectural object. Curve networks are then formed through topology recovery of consolidated Shape clusters and surfaced using Scribble clusters guiding the cycle discovery. Our evaluation is threefold: We confirm the usability of the Strokes2Surface pipeline in architectural design use cases via a user study, we validate our choice of features via statistical analysis and ablation studies on our collected dataset, and we compare our outputs against a range of reconstructions computed using alternative methods.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5233, 193, 5429, 1799 ], "articleno": "e15054", "doi": "10.1111/cgf.15054", "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "2", "pages": "16", "pages_from": "1", "pages_to": "16", "publisher": "WILEY", "volume": "43", "research_areas": [], "keywords": [ "CCS Concepts", "Computer graphics", "Computing methodologies → Artificial intelligence", "Machine learning" ], "weblinks": [], "files": [], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/rasoulzadeh-2024-strokes2surface/", "__class": "Publication" }, { "id": "dworschak-2024-aml", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Alpine Maps Labels", "date": "2024-04-03", "abstract": "The goal of this project was to receive mountain peak names from a vector tile server, process this information and visualize them on the AlpineMapsOrg application. Initially we\nagreed on using basemap as the vector tile provider but after encountering some problems (mentioned below), we switched to a custom tile server approach that we developed to fill\nour needs.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2256, "image_height": 1577, "name": "dworschak-2024-aml-teaser.png", "type": "image/png", "size": 5789426, "path": "Publication:dworschak-2024-aml", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/dworschak-2024-aml/dworschak-2024-aml-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/dworschak-2024-aml/dworschak-2024-aml-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1353 ], "date_end": "2023-04", "date_start": "2023-12", "matrikelnr": "01225883", "supervisor": [ 1110, 1013 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [ { "href": "https://github.com/AlpineMapsOrg/renderer", "caption": "Repository", "description": null, "main_file": 0 }, { "href": "https://alpinemapsorg.github.io/renderer/wasm_singlethread/alpineapp.html", "caption": "Demo", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "developer documentation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "dworschak-2024-aml-developer documentation.pdf", "type": "application/pdf", "size": 525967, "path": "Publication:dworschak-2024-aml", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/dworschak-2024-aml/dworschak-2024-aml-developer documentation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/dworschak-2024-aml/dworschak-2024-aml-developer documentation:thumb{{size}}.png" }, { "description": null, "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "dworschak-2024-aml-report.pdf", "type": "application/pdf", "size": 3084811, "path": "Publication:dworschak-2024-aml", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/dworschak-2024-aml/dworschak-2024-aml-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/dworschak-2024-aml/dworschak-2024-aml-report:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2256, "image_height": 1577, "name": "dworschak-2024-aml-teaser.png", "type": "image/png", "size": 5789426, "path": "Publication:dworschak-2024-aml", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/dworschak-2024-aml/dworschak-2024-aml-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/dworschak-2024-aml/dworschak-2024-aml-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/dworschak-2024-aml/", "__class": "Publication" }, { "id": "heim-2024-accustripes", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/197495", "title": "AccuStripes: Visual exploration and comparison of univariate data distributions using color and binning", "date": "2024-04", "abstract": "Understanding and analyzing univariate distributions of data in terms of their shapes as well as their specific characteristics, regarding gaps, spikes, or outliers, is crucial in many scientific disciplines. In this paper, we propose a design space composed of the visual channels position and color for representing accumulated distributions. The designs are a mixture of color-coded stripes with density lines. The width and coloring of the stripes is based on the applied binning technique. In a crowd-sourced experiment we explore a subspace, called the AccuStripes (i.e., “accumulated stripes”) design space, consisting of nine representations. These AccuStripes designs integrate three composition strategies (color only, overlay, filled curve) with three binning techniques, one uniform (UB) and two adaptive methods, namely Bayesian Blocks (BB) and Jenks’ Natural Breaks (NB). We evaluate the accuracy, efficiency, and confidence ratings of the nine AccuStripes designs for structural estimation and comparison tasks. Across all study tasks, the overlay composition was found to be most accurate and preferred by observers. Furthermore, the results demonstrate that while no binning method performed best in both identification and comparison, detection of structures using adaptive binning was the most accurate one. For validation we compared the best AccuStripes’ design, i.e., the overlay composition, to line charts. Our results show that the AccuStripes’ design outperformed the line charts in accuracy for all study tasks.", "authors_et_al": false, "substitute": null, "main_image": { "description": "AccuStripes - Graphical Abstract", "filetitle": "accuStripes", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1333, "image_height": 428, "name": "heim-2024-accustripes-accuStripes.png", "type": "image/png", "size": 366335, "path": "Publication:heim-2024-accustripes", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/heim-2024-accustripes/heim-2024-accustripes-accuStripes.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/heim-2024-accustripes/heim-2024-accustripes-accuStripes:thumb{{size}}.png" }, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1354, 1355, 1110, 166, 611 ], "articleno": "103906", "doi": "10.1016/j.cag.2024.103906", "issn": "1873-7684", "journal": "COMPUTERS & GRAPHICS-UK", "publisher": "PERGAMON-ELSEVIER SCIENCE LTD", "volume": "119", "research_areas": [ "InfoVis" ], "keywords": [ "Adaptive binning", "Crowd-sourced experiment", "Univariate data distributions", "Visual analysis" ], "weblinks": [ { "href": "https://www.sciencedirect.com/science/article/pii/S0097849324000414", "caption": "paper", "description": null, "main_file": 1 } ], "files": [ { "description": "AccuStripes - Graphical Abstract", "filetitle": "accuStripes", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1333, "image_height": 428, "name": "heim-2024-accustripes-accuStripes.png", "type": "image/png", "size": 366335, "path": "Publication:heim-2024-accustripes", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/heim-2024-accustripes/heim-2024-accustripes-accuStripes.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/heim-2024-accustripes/heim-2024-accustripes-accuStripes:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/heim-2024-accustripes/", "__class": "Publication" }, { "id": "marin-2024-dsr", "type_id": "poster", "tu_id": null, "repositum_id": "20.500.12708/201670", "title": "Distributed Surface Reconstruction", "date": "2024-04", "abstract": "Recent advancements in scanning technologies and their rise in availability have shifted the focus from reconstructing surfaces from point clouds of small areas to large, e.g., city-wide scenes, containing massive amounts of data. We adapt a surface reconstruction method to work in a distributed fashion on a high-performance cluster, reconstructing datasets with millions of vertices in seconds by exploiting the locality of the connectivity required by the reconstruction algorithm to efficiently divide-and-conquer the problem of creating triangulations from very large unstructured point clouds.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2017, "image_height": 1227, "name": "marin-2024-dsr-image.png", "type": "image/png", "size": 3376780, "path": "Publication:marin-2024-dsr", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/marin-2024-dsr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/marin-2024-dsr-image:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1848, 1859, 948, 193 ], "booktitle": "EG 2024 - Posters", "cfp": { "name": "Call for Posters _ EUROGRAPHICS.pdf", "type": "application/pdf", "error": 0, "size": 210661, "orig_name": "Call for Posters _ EUROGRAPHICS.pdf", "ext": "pdf" }, "date_from": "2024-04-22", "date_to": "2024-04-26", "doi": "10.2312/egp.20241037", "editor": "Liu, Lingjie and Averkiou, Melinos", "event": "45th Annual Conference of the European Association for Computer Graphics (Eurographics 2024)", "isbn": "978-3-03868-239-4", "lecturer": [ 1848 ], "location": "Limassol", "pages": "2", "research_areas": [], "keywords": [ "Surface Reconstruction", "Distributed Computing", "Point Clouds", "High Performance Computing", "delaunay triangulation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2017, "image_height": 1227, "name": "marin-2024-dsr-image.png", "type": "image/png", "size": 3376780, "path": "Publication:marin-2024-dsr", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/marin-2024-dsr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/marin-2024-dsr-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "marin-2024-dsr-paper.pdf", "type": "application/pdf", "size": 5699964, "path": "Publication:marin-2024-dsr", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/marin-2024-dsr-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/marin-2024-dsr-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/", "__class": "Publication" }, { "id": "steinkellner-2024-dll", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Deep Learning for Lighting Evaluation", "date": "2024-03-25", "abstract": "Lighting has a major impact on the mood of an indoor scene. This plays an important\nrole in interior design. The way a room is lit affects the people in it. While a human\ncan understand this concept and express how a scene feels to them, a computer cannot\nprovide the same type of analysis at the moment. To provide a solution for this, this\nthesis seeks to implement a convolutional neural network to employ deep learning and\nclassify scenes by their lighting mood. To this extent I created a data set consisting\nof images representing different lighting moods. The deep learning technique I used is\ntransfer learning in which an already pre-trained network, in this case VGG16, is used.\nAt first I tried a multi-class approach in which all classes are evaluated by one classifier,\nbut later I moved to a binary classifier structure in which the classifier only learns and\npredicts if an image belongs to one given class or not. This lead to promising results and\nprovides ground to improve upon in future work.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "thesis-img", "main_file": false, "use_in_gallery": false, "access": "hidden", "image_width": 1557, "image_height": 775, "name": "steinkellner-2024-dll-thesis-img.jpg", "type": "image/jpeg", "size": 140810, "path": "Publication:steinkellner-2024-dll", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/steinkellner-2024-dll/steinkellner-2024-dll-thesis-img.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/steinkellner-2024-dll/steinkellner-2024-dll-thesis-img:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5255 ], "date_end": "2024-03-25", "date_start": "2023", "matrikelnr": "11705362", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": { "1": { "description": "BSc Thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "steinkellner-2024-dll-thesis.pdf", "type": "application/pdf", "size": 6916558, "path": "Publication:steinkellner-2024-dll", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/steinkellner-2024-dll/steinkellner-2024-dll-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/steinkellner-2024-dll/steinkellner-2024-dll-thesis:thumb{{size}}.png" } }, "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/steinkellner-2024-dll/", "__class": "Publication" }, { "id": "wagner-2024-par", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Pixel Art Restoration", "date": "2024-03-20", "abstract": "Games developed in the 8 and 16-bit era of computing used low-resolution images called\nsprites for displaying game worlds and their objects. This art style is often referred to as\nPixel-Art and evolved into its own subgenre of games with new games still getting released\nto this day. While modern Pixel-Art games incorporate the visual fidelity of modern\nLiquid Crystal Display (LCD) monitors into their design, games from the Cathode Ray\nTube (CRT) era often look worse when displayed on an LCD monitor. Understandable,\nsince games at that time were designed to look good on CRT TVs and Monitors which\nfunction in very different ways compared to modern Displays.\nSince the upcoming of retro game console emulators, a lot of effort was put into reproducing\nthe effects of CRT monitors when playing back these old game files on LCD monitors. This\noften requires the use of upscaling algorithms to improve the look of the low-resolution\ngame assets on higher-resolution monitors. Upscaling in general but also tailored towards\nPixel-Art is still an unsolved problem and the focus of many recent publications.\nIn this work, we will explore what effects CRT monitors have on Pixel-Art and how to\nuse this information to guide the upscaling of 8 and 16-bit era Pixel-Art to improve\nvisual fidelity when displayed on modern LCD monitors.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1424, "image_height": 748, "name": "wagner-2024-par-teaser.jpg", "type": "image/jpeg", "size": 194244, "path": "Publication:wagner-2024-par", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/wagner-2024-par/wagner-2024-par-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/wagner-2024-par/wagner-2024-par-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5340 ], "date_end": "2024-03-20", "date_start": "2023", "matrikelnr": "11907095", "supervisor": [ 193 ], "research_areas": [ "InfoVis", "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1424, "image_height": 748, "name": "wagner-2024-par-teaser.jpg", "type": "image/jpeg", "size": 194244, "path": "Publication:wagner-2024-par", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/wagner-2024-par/wagner-2024-par-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/wagner-2024-par/wagner-2024-par-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wagner-2024-par-thesis.pdf", "type": "application/pdf", "size": 104824143, "path": "Publication:wagner-2024-par", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/wagner-2024-par/wagner-2024-par-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/wagner-2024-par/wagner-2024-par-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/wagner-2024-par/", "__class": "Publication" }, { "id": "ehlers-2024-vgs", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/196069", "title": "Visualizing Group Structure in Compound Graphs: The Current State, Lessons Learned, and Outstanding Opportunities", "date": "2024-03-11", "abstract": "Compound graphs are common across domains, from social science to biochemical pathway studies, and their visualization is important to both their exploration and analysis. However, effectively visualizing a compound graph's topology and group structure requires careful consideration, as evident by the many different approaches to this particular problem. To better understand the current advancements in compound graph visualization, we have consolidated and streamlined existing surveys' taxonomies. More specifically, we aim to disentangle the visual relationship between graph topology and group structure from the visual encoding used to visualize its group structure in order to identify interesting gaps in the literature. In so doing, we are able to enumerate a number of lessons learned and gain a better understanding of the outstanding research opportunities and practical implications across domains.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1850, 1848, 1464, 1410 ], "booktitle": "Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1, HUCAPP and IVAPP", "date_from": "2024-02-27", "date_to": "2024-02-29", "doi": "10.5220/0012431200003660", "event": "19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications", "isbn": "978-989-758-679-8", "lecturer": [ 1850 ], "location": "Rom", "pages": "12", "pages_from": "697", "pages_to": "708", "research_areas": [ "InfoVis", "NetVis" ], "keywords": [ "compound graph visualization", "literature survey", "group structure visualization" ], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ehlers-2024-vgs/", "__class": "Publication" }, { "id": "metzger-2024-smv", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/195907", "title": "Semantically meaningful vectorization of line art in drawn animation", "date": "2024-03", "abstract": "Animation consists of sequentially showing multiple single frames with small mutual differences in order to achieve the visual effect of a moving scene. In limited animation, these frames are drawn as semantically meaningful vector images which could be referred to as clean animation frames. There are limited animation workflows in which these clean animation frames are only available in raster format, requiring laborious manual vectorization.This work explores the extent to which line-art image vectorization methods can be used to automatize this process. For this purpose, a line-art image vectorization method is designed by taking into account the structural information about clean animation frames. Together with existing state-of-the-art line-art image vectorization methods, this method is evaluated on a dataset consisting of clean animation frames. The reproducible evaluation shows that the performance of the developed method is remarkably stable across different input image resolution sizes and binarized or non-binarized versions of input images, even outperforming state-of-the-art methods at input images of the default clean animation frame resolution. Furthermore, it is up to 4.5 times faster than the second-fastest deep learning-based method. However, ultimately the evaluation shows that neither the developed method nor existing state-of-the-art methods can produce vector images that achieve both visual similarity and sufficiently semantically correct vector structures.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1183, "image_height": 387, "name": "metzger-2024-smv-image.png", "type": "image/png", "size": 77582, "path": "Publication:metzger-2024-smv", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/metzger-2024-smv/metzger-2024-smv-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/metzger-2024-smv/metzger-2024-smv-image:thumb{{size}}.png" }, "sync_repositum_override": "date,projects", "repositum_presentation_id": null, "authors": [ 5342 ], "co_supervisor": [ 1639 ], "date_end": "2024-03-11", "date_start": "2022-05", "diploma_examina": "2024-03-11", "doi": "10.34726/hss.2024.102471", "matrikelnr": "1454634", "open_access": "yes", "pages": "198", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "Animation", "Limited animation", "Line art", "Image vectorization", "Vector graphics", "Deep learning", "Machine learning" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1183, "image_height": 387, "name": "metzger-2024-smv-image.png", "type": "image/png", "size": 77582, "path": "Publication:metzger-2024-smv", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/metzger-2024-smv/metzger-2024-smv-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/metzger-2024-smv/metzger-2024-smv-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "metzger-2024-smv-thesis.pdf", "type": "application/pdf", "size": 9139349, "path": "Publication:metzger-2024-smv", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/metzger-2024-smv/metzger-2024-smv-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/metzger-2024-smv/metzger-2024-smv-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/metzger-2024-smv/", "__class": "Publication" }, { "id": "marin-2024-pcp", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/196496", "title": "Parameter-free connectivity for point clouds", "date": "2024-02", "abstract": "Determining connectivity in unstructured point clouds is a long-standing problem that has still not been addressed satisfactorily. In this paper, we analyze an alternative to the often-used k-nearest neighborhood (kNN) graph - the Spheres of Influence Graph (SIG). We show that the edges that are neighboring each vertex are spatially bounded, which allows for fast computation of SIG. Our approach shows a better encoding of the ground truth connectivity compared to the kNN for a wide range of k, and additionally, it is parameter-free. Our result for this fundamental task offers potential for many applications relying on kNN, e.g., parameter-free normal estimation, and consequently, surface reconstruction, motion planning, simulations, and many more.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 742, "image_height": 912, "name": "marin-2024-pcp-image.jpg", "type": "image/jpeg", "size": 190057, "path": "Publication:marin-2024-pcp", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/marin-2024-pcp-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/marin-2024-pcp-image:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1848, 948, 193 ], "booktitle": "Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1, HUCAPP and IVAPP", "date_from": "2024-02-27", "date_to": "2024-02-29", "doi": "10.5220/0012394900003660", "event": "19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2024)", "isbn": "978-989-758-679-8", "lecturer": [ 1848 ], "location": "Rome", "open_access": "yes", "pages": "11", "pages_from": "92", "pages_to": "102", "publisher": "SciTePress, Science and Technology Publications", "volume": "1", "research_areas": [ "Geometry" ], "keywords": [ "Proximity Graphs", "Point Clouds", "Connectivity" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 742, "image_height": 912, "name": "marin-2024-pcp-image.jpg", "type": "image/jpeg", "size": 190057, "path": "Publication:marin-2024-pcp", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/marin-2024-pcp-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/marin-2024-pcp-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "marin-2024-pcp-paper.pdf", "type": "application/pdf", "size": 2193223, "path": "Publication:marin-2024-pcp", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/marin-2024-pcp-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/marin-2024-pcp-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Superhumans", "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/", "__class": "Publication" }, { "id": "ulschmid-2024-reo", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/195927", "title": "Real-Time Editing of Path-Traced Scenes with Prioritized Re-Rendering", "date": "2024-02", "abstract": "With recent developments in GPU ray tracing performance and (AI-accelerated) noise reduction techniques, Monte Carlo Path Tracing at real-time rates becomes a viable solution for interactive 3D scene editing, with growing support in popular software. However, even for minor edits (e.g., adjusting materials or moving small objects), current solutions usually discard previous samples and the image formation process is started from scratch. In this paper, we present two adaptive, priority-based re-rendering techniques with incremental updates, prioritizing the reconstruction of regions with high importance, before gradually moving to less important regions. The suggested methods automatically identify and schedule sampling and accumulation of immediately affected regions. An extensive user study analyzes whether such prioritized renderings are beneficial to interactive scene editing, comparing them with same-time conventional re-rendering. Our evaluation shows that even with simple prio rity policies, there is a significant preference for such incremental rendering techniques for interactive editing of small objects over full-screen re-rendering with denoising.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 378, "image_height": 323, "name": "ulschmid-2024-reo-teaser.png", "type": "image/png", "size": 254543, "path": "Publication:ulschmid-2024-reo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-teaser:thumb{{size}}.png" }, "sync_repositum_override": "booktitle", "repositum_presentation_id": null, "authors": [ 1954, 1650, 1030, 193 ], "booktitle": "Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP and VISIGRAPP", "date_from": "2024-02-27", "date_to": "2024-02-29", "doi": "10.5220/0012324600003660", "editor": "Bashford-Rogers, Thomas and Meneveaux, Daniel and Ziat, Mounia and Ammi, Mehdi and Jänicke, Stefan and Purchase, Helen and Bouatouch, Kadi and Sousa, Augusto A.", "event": "19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications", "isbn": "978-989-758-679-8", "lecturer": [ 1954 ], "location": "Rom", "note": "Best student paper award", "pages": "12", "pages_from": "46", "pages_to": "57", "research_areas": [], "keywords": [ "ray tracing", "user study", "editing" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/Prioritized-ReRendering", "caption": "GitHub", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ulschmid-2024-reo-paper.pdf", "type": "application/pdf", "size": 14987716, "path": "Publication:ulschmid-2024-reo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 378, "image_height": 323, "name": "ulschmid-2024-reo-teaser.png", "type": "image/png", "size": 254543, "path": "Publication:ulschmid-2024-reo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "ulschmid-2024-reo-video.mp4", "type": "video/mp4", "size": 38712872, "path": "Publication:ulschmid-2024-reo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-video:video.mp4" } ], "projects_workgroups": [ "d9275", "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/", "__class": "Publication" }, { "id": "erler_2024_ppsurf", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/192690", "title": "PPSurf: Combining Patches and Point Convolutions for Detailed Surface Reconstruction", "date": "2024-01-12", "abstract": "Abstract 3D surface reconstruction from point clouds is a key step in areas such as content creation, archaeology, digital cultural heritage and engineering. Current approaches either try to optimize a non-data-driven surface representation to fit the points, or learn a data-driven prior over the distribution of commonly occurring surfaces and how they correlate with potentially noisy point clouds. Data-driven methods enable robust handling of noise and typically either focus on a global or a local prior, which trade-off between robustness to noise on the global end and surface detail preservation on the local end. We propose PPSurf as a method that combines a global prior based on point convolutions and a local prior based on processing local point cloud patches. We show that this approach is robust to noise while recovering surface details more accurately than the current state-of-the-art. Our source code, pre-trained model and dataset are available at https://github.com/cg-tuwien/ppsurf.", "authors_et_al": false, "substitute": null, "main_image": { "description": "PPSurf teaser with comparison", "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2288, "image_height": 740, "name": "erler_2024_ppsurf-teaser.png", "type": "image/png", "size": 1734284, "path": "Publication:erler_2024_ppsurf", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-teaser:thumb{{size}}.png" }, "sync_repositum_override": "number,volume", "repositum_presentation_id": null, "authors": [ 1395, 5317, 1919, 627, 1184, 193 ], "date_from": "2020", "date_to": "2024-01-12", "doi": "https://doi.org/10.1111/cgf.15000", "event": "Eurographics 2024", "first_published": "2024-01-12", "html_block": "

Demo

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Image segmentation is a crucial step in the diagnosis, prognosis, and treatment of many diseases. Despite the advancements in autosegmentation, clinical practice widely relies on manual delineations performed by radiologists. Our work focuses on designing a solution for understanding the radiologists' thought processes during segmentation and for unveiling reasons that lead to interobserver variability. To this end, we propose a visual analysis tool connecting multiple radiologists' delineation processes with their outcomes, and we demonstrate its potential in a case study.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1693, 1110, 1410 ], "doi": "10.1109/MCG.2023.3333475", "issn": "1558-1756", "journal": "IEEE Computer Graphics and Applications", "number": "1", "pages": "9", "pages_from": "86", "pages_to": "94", "publisher": "IEEE COMPUTER SOC", "volume": "44", "research_areas": [], "keywords": [ "Humans", "Observer Variation", "Workflow", "Algorithms" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/bayat-2024-awt/", "__class": "Publication" }, { "id": "thesis-tekaya", "type_id": "runphdthesis", "tu_id": null, "repositum_id": null, "title": "Context Analysis in Historical Media Collections", "date": "2024-01", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5330 ], "date_start": "2024-01", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/thesis-tekaya/", "__class": "Publication" }, { "id": "herzberger-2024-roh", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/193209", "title": "Residency Octree: a hybrid approach for scalable web-based multi-volume rendering", "date": "2024-01", "abstract": "We present a hybrid multi-volume rendering approach based on a novel Residency Octree that combines the advantages of out-of-core volume rendering using page tables with those of standard octrees. Octree approaches work by performing hierarchical tree traversal. However, in octree volume rendering, tree traversal and the selection of data resolution are intrinsically coupled. This makes fine-grained empty-space skipping costly. Page tables, on the other hand, allow access to any cached brick from any resolution. However, they do not offer a clear and efficient strategy for substituting missing high-resolution data with lower-resolution data. We enable flexible mixed-resolution out-of-core multi-volume rendering by decoupling the cache residency of multi-resolution data from a resolution-independent spatial subdivision determined by the tree. Instead of one-to-one node-to-brick correspondences, each residency octree node is mapped to a set of bricks from different resolution levels. This makes it possible to efficiently and adaptively choose and mix resolutions, adapt sampling rates, and compensate for cache misses. At the same time, residency octrees support fine-grained empty-space skipping, independent of the data subdivision used for caching. Finally, to facilitate collaboration and outreach, and to eliminate local data storage, our implementation is a web-based, pure client-side renderer using WebGPU and WebAssembly. 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Using data-GIFs as Educational Tools", "date": "2024", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1861, 166, 1410 ], "booktitle": "Computer Science Research Notes: CSRN 3401: WSCG 2024: Proceedings", "date_from": "2024-06-03", "date_to": "2024-06-06", "doi": "10.24132/CSRN.3401.7", "editor": "Skala, Vaclav", "event": "32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG 2024)", "lecturer": [ 1410 ], "location": "Plzen", "pages": "10", "pages_from": "57", "pages_to": "66", "research_areas": [], "keywords": [ "data visualization", "education for visualization" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/amabili-2024-smg/", "__class": "Publication" }, { "id": "boffi-2024-bagginghook", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/197699", "title": "BaggingHook: Selecting Moving Targets by Pruning Distractors Away for Intention-Prediction Heuristics in Dense 3D Environments", "date": "2024", "abstract": "Selecting targets in dense, dynamic 3D environments presents a significant challenge. In this study, we introduce two novel selection techniques based on distractor pruning to assist users in selecting targets moving unpredictably: BaggingHook and AutoBaggingHook. Both are built upon the Hook intention-prediction heuristic, which continuously measures the distance between the user's cursor and each object to compute per-object scores and estimate the intended target. Our techniques reduce the number of targets in the environment, making heuristic convergence potentially faster. Once pruned away, distractors are also made semi-transparent to reduce occlusion and the overall difficulty of the task. However, their motion is not altered, so that users can still perceive the dynamics of the environment. We designed two pruning approaches: BaggingHook lets users manually prune distractors away, while AutoBaggingHook uses automated, score-based pruning. We conducted a user study in a virtual reality setting inspired by molecular dynamics simulations, featuring crowded scenes of objects moving fast and unpredictably, in 3D. We compared both proposed techniques to the Hook baseline under more challenging circumstances than it had previously been tested. Our results show that AutoBaggingHook was the fastest, and did not lead to higher error rates. BaggingHook, on the other hand, was preferred by the majority of participants, due to the greater degree of control it provides to users, leading some to see entertainment value in its use. This work shows the potential benefits of varying the types of inputs used in intention-prediction heuristics, not just to improve performance, but also to reduce occlusion, overall task load, and improve user experience.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5365, 5366, 1110, 5367, 171 ], "booktitle": "2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)", "date_from": "2024-03-16", "date_to": "2024-03-21", "doi": "10.1109/VR58804.2024.00110", "event": "2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)", "isbn": "9798350374025", "lecturer": [ 5368 ], "location": "Orlando, FL", "pages": "11", "pages_from": "913", "pages_to": "923", "research_areas": [], "keywords": [ "Algorithms", "AR/VR/Immersive", "Human-Subjects Qualitative Studies", "Human-Subjects Quantitative Studies", "Interaction Design", "Mobile", "Specialized Input/Display Hardware" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/boffi-2024-bagginghook/", "__class": "Publication" }, { "id": "eitler-2024-sos", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/205306", "title": "Spatial Organization Strategies in Exploratory Analysis of Unstructured Data", "date": "2024", "abstract": "As not only the amount but also the complexity of data increases, there is a growing need to support humans in the analysis of data that is not structured in a way that can be easily interpreted by machines. So-called “knowledge-assisted visual analytics” (KAVA) tools aim to address these challenges by integrating the knowledge of the analyst into their system to support the analysis process.In this thesis, we investigate the spatial organization strategies that users employ when exploring unstructured data. We aim to characterize the types of strategies that users employ, how they change over time, and how we can use them to infer the users’ knowledge of the data. To answer these questions, we first conduct a user study in which the participants explore an image dataset on a multitouch tabletop interface imitating an analogue setting and externalize their findings into concept maps. We observe their organization strategies and analyse their methods in a mixed-methods approach, combining qualitative analysis of the participants’ interview statements with quantitative analysis of the interaction logs.We find that the participants’ spatial organization strategies can be characterized by four features: semantic clusters, type of layout, uncovering process, and reorganization of the data. While most participants prefer layouts that give them an overview of the data, only about half create semantic clusters (i.e., grouping similar images together). The participants also mostly uncovered all images — which were initially on a stack — in the task right away before externalizing their knowledge, and only a few reorganized the images. We further find that the participants generally did not change their organization strategies over time, and that the resulting spatial arrangements do not necessarily provide valuable insights into the users’ knowledge of the data.Finally, we discuss our findings and list the limitations of our study. As this thesis is embedded in a research project that aims to develop a tool for knowledge-assisted visual analytics, we discuss potential design implications for the development of such a tool.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 5419 ], "doi": "10.34726/hss.2024.117186", "open_access": "yes", "pages": "95", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [ "visual analytics", "unstructured data", "spatial organization", "exploratory analysis", "knowledge-assisted visual analytics", "semantic interaction", "knowledge externalization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eitler-2024-sos-thesis.pdf", "type": "application/pdf", "size": 2087980, "path": "Publication:eitler-2024-sos", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/eitler-2024-sos/eitler-2024-sos-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/eitler-2024-sos/eitler-2024-sos-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "d9282" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/eitler-2024-sos/", "__class": "Publication" }, { "id": "wimmer-2024-adh", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/201047", "title": "Addressing Data Heterogeneity in Image-Based Computer-Aided Detection and Diagnosis Methods", "date": "2024", "abstract": "The acquisition of medical imaging data is inevitable for screening, diagnosis, planning of surgery or therapy, or monitoring of diseases. In clinical practice, the data is assessed by medical experts, which can be a very time-consuming task. Hence, for decades a lot of research effort has been dedicated to the automated analysis of medical imaging data and to the question of how Computer-Aided Detection and Diagnosis algorithms can assist the tasks mentioned above. However, one of the biggest challenges in this regard is the highly heterogeneous nature of medical imaging data. The acquisition of data from different imaging modalities, like X-ray or Magnetic Resonance Imaging (MRI), changes of acquisition parameters, and the use of different scanners results in diverse data. The varying spatial resolution as well as the high dimensionality of the data pose additional challenges to the development of automated solutions. In this thesis, we investigate different machine learning-based methods to address the analysis of heterogeneous medical imaging data, such as multi-parametric, multi-modal, multi-center, or multi-view data. We present three different pipeline approaches that follow generalization- and fusion- based approaches and demonstrate their applicability on diverse public datasets. Our contributions target two selected use cases in radiology: the semantic labeling of the spine in MRI data and the analysis of mammograms. In semi- and fully-automated spine labeling in MRI data, we are confronted with the problem that MRI data does not exhibit a standardized intensity scale, which results in a large variety of different image contrasts. To overcome this problem for semantic spine labeling, we propose an iterative labeling pipeline that employs Entropy-Optimized Texture Models (ETMs). The application of trained ETMs allows us to apply our models to a wide range of different MRI data. This is in contrast to various related works that develop methods for specific MRI image sequences and protocols. For the analysis of mammography screening data, not only one but four X-ray images from different fields of view are available that form a study of a patient. In addition to this multi-view data, we deal with multi-scale information at various levels, e.g., on a patient, image, or lesion level. To utilize and combine this information efficiently, we develop several deep learning-based models that aim for a specific task important in examining mammograms, such as the localization of abnormalities. For a comprehensive prediction on a patient level, we propose to fuse predictions and features from the individual models to increase performance, which is in contrast to standard ensembling techniques. The results in this thesis demonstrate that considering the different aspects of heterogeneous medical imaging data is inevitable to improve both generalization and predictive capabilities of Computer-Aided Detection and Diagnosis methods.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1137 ], "doi": "10.34726/hss.2024.125391", "open_access": "yes", "pages": "163", "supervisor": [ 166 ], "research_areas": [], "keywords": [ "Medical Image Analysis", "Image Processing", "Data Heterogeneity", "Computer-Aided Detection and Diagnosis", "Mammography", "Spine Labeling", "Machine Learning", "Deep Learning" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wimmer-2024-adh-thesis.pdf", "type": "application/pdf", "size": 6694551, "path": "Publication:wimmer-2024-adh", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/wimmer-2024-adh/wimmer-2024-adh-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/wimmer-2024-adh/wimmer-2024-adh-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/wimmer-2024-adh/", "__class": "Publication" }, { "id": "irendorfer-2024-uat", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/202525", "title": "User Approaches to Knowledge Externalization in Visual Analytics of Unstructured Data", "date": "2024", "abstract": "Traditional machine learning approaches for analyzing large unstructured data often depend on labelled training data and well-defined target definitions. However, these may not be available or feasible when dealing with unknown and unstructured data. It requires human reasoning and domain knowledge to interpret it. Interactive systems that combine human analytical abilities with machine learning techniques can address this limitation. However, to incorporate human knowledge in such systems, we need a better understanding of the semantic information and structures that users observe and expect while exploring unstructured data, as well as how they make their tacit knowledge explicit. This thesis aims to narrow the gap between human cognition and (knowledge-assisted) visual analytics. In a qualitative and exploratory user study, this thesis investigates how individuals explore a large unstructured dataset and which strategies they apply to externalize their mental models. By analyzing users' externalized mental models, we aim to better understand how their knowledge evolves during data exploration. We evaluate the comprehensiveness, detail and evolution of users' external knowledge representations by applying quantitative and qualitative methods, including a crowdsourcing step. The results show that users' externalized structures are able to represent a given dataset comprehensively and to a high degree of detail. While these knowledge representations are highly subjective and show various individual differences, we could identify structural similarities between individuals. In addition to the insights about how users externalize their tacit knowledge during data exploration, we propose design guidelines for (knowledge-assisted) visual analytics systems.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 5399 ], "doi": "10.34726/hss.2024.115066", "open_access": "yes", "pages": "80", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [ "Knowledge Externalization", "Knowledge-Assisted Visualization", "Visual Analytics", "Unstructured Data", "Concept Maps", "Mental Models", "User Study", "Data Exploration" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "irendorfer-2024-uat-thesis.pdf", "type": "application/pdf", "size": 1981913, "path": "Publication:irendorfer-2024-uat", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/irendorfer-2024-uat/irendorfer-2024-uat-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/irendorfer-2024-uat/irendorfer-2024-uat-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "d9282" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/irendorfer-2024-uat/", "__class": "Publication" }, { "id": "kovacs-2024-gsg", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/205211", "title": "G-Style: Stylized Gaussian Splatting", "date": "2024", "abstract": "We introduce G-Style, a novel algorithm designed to transfer the style of an image onto a 3D scene represented using Gaussian Splatting. Gaussian Splatting is a powerful 3D representation for novel view synthesis, as—compared to other approaches based on Neural Radiance Fields—it provides fast scene renderings and user control over the scene. Recent pre-prints have demonstrated that the style of Gaussian Splatting scenes can be modified using an image exemplar. However, since the scene geometry remains fixed during the stylization process, current solutions fall short of producing satisfactory results. Our algorithm aims to address these limitations by following a three-step process: In a pre-processing step, we remove undesirable Gaussians with large projection areas or highly elongated shapes. Subsequently, we combine several losses carefully designed to preserve different scales of the style in the image, while maintaining as much as possible the integrity of the original scene content. During the stylization process and following the original design of Gaussian Splatting, we split Gaussians where additional detail is necessary within our scene by tracking the gradient of the stylized color. Our experiments demonstrate that G-Style generates high-quality stylizations within just a few minutes, outperforming existing methods both qualitatively and quantitatively.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1950, 5415, 1410 ], "articleno": "e15259", "doi": "10.1111/cgf.15259", "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "7", "pages": "13", "publisher": "WILEY", "volume": "43", "research_areas": [], "keywords": [ "Artificial intelligence", "Computer graphics", "Neural networks" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kovacs-2024-gsg/", "__class": "Publication" }, { "id": "lucio-2024-kma", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/204917", "title": "Knowledge maps as a complementary tool to learn and teach surgical anatomy in virtual reality: A case study in dental implantology", "date": "2024", "abstract": "A thorough understanding of surgical anatomy is essential for preparing and training medical students to become competent and skilled surgeons. While Virtual Reality (VR) has shown to be a suitable interaction paradigm for surgical training, traditional anatomical VR models often rely on simple labels and arrows pointing to relevant landmarks. Yet, studies have indicated that such visual settings could benefit from knowledge maps as such representations explicitly illustrate the conceptual connections between anatomical landmarks. In this article, a VR educational tool is presented designed to explore the potential of knowledge maps as a complementary visual encoding for labeled 3D anatomy models. Focusing on surgical anatomy for implantology, it was investigated whether integrating knowledge maps within a VR environment could improve students' understanding and retention of complex anatomical relationships. The study involved 30 master's students in dentistry and 3 anatomy teachers, who used the tool and were subsequently assessed through surgical anatomy quizzes (measuring both completion times and scores) and subjective feedback (assessing user satisfaction, preferences, system usability, and task workload). The results showed that using knowledge maps in an immersive environment facilitates learning and teaching surgical anatomy applied to implantology, serving as a complementary tool to conventional VR educational methods.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5407, 5408, 1410, 5409, 5410, 5411, 5412, 5413 ], "booktitle": "Healthcare Technology Letters", "date_from": "2024-10-06", "date_to": "2024-10-06", "doi": "10.1049/htl2.12094", "event": "27th International Conference on Medical Image Computing and Computer Assisted Invertention (MICCAI 2024)", "lecturer": [ 5407 ], "pages": "12", "research_areas": [], "keywords": [ "biomedical education", "user interfaces", "virtual reality", "biomedical education", "user interfaces", "virtual reality" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/lucio-2024-kma/", "__class": "Publication" }, { "id": "matt-2024-cvi", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/198406", "title": "Class-Centric Visual Interactive Labeling using Property Measures", "date": "2024", "abstract": "Human annotation of image data is relevant for supervised machine learning, where labeled datasets are essential for training models. Traditionally, reducing the labeling effort was achieved through active learning, where the optimal next instance for labeling is selected by some heuristic to maximize utility. More recent work has focused on integrating user initiative in the labeling process through visual interactive labeling to steer the labeling process. This thesis proposes cVIL, a class-centric approach for visual interactive labeling that simplifies the human annotation process for large and complex image datasets. Previously, visual labeling approaches were typically instance-based, where the system visualizes individual instances for the user to label. cVIL utilizes diverse property measures to enable the labeling of difficult instances individually and in batches to label simpler cases rapidly. Since the property measures express the properties of an instance using a single scalar value, the visualizations are simple and scalable. cVIL combines the heuristic guidance approach of active learning with the user-centered approach of visual interactive labeling. In simulations, we could show that property measures can facilitate effective instance and batch labeling. In a user study, cVIL demonstrated superior accuracy and user satisfaction compared to the conventional instance-based visual interactive labeling approach that employs scatterplots. Participants also needed less time to complete the assigned tasks in cVIL compared to the baseline.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5263 ], "co_supervisor": [ 5370 ], "doi": "10.34726/hss.2024.102653", "open_access": "yes", "pages": "101", "supervisor": [ 1110 ], "research_areas": [], "keywords": [ "Human-centered computing", "Visual analytics", "User interface design" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "matt-2024-cvi-thesis.pdf", "type": "application/pdf", "size": 4771814, "path": "Publication:matt-2024-cvi", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvi/matt-2024-cvi-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvi/matt-2024-cvi-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvi/", "__class": "Publication" }, { "id": "staats-2024-atr", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/195524", "title": "Alpine Terrain Relighting", "date": "2024", "abstract": "Aerial orthophotos together with digital elevation models (DEMs) allow the rendering of 3D representations of the earth, including alpine terrain. These virtual landscapes provide the opportunity to simulate light conditions at different times of the day, aiding in trip planning. However, orthophotos used as texture often contain large shadows stemming from cliffs and rocks, which significantly impact the visual quality of relighted textures. The necessary single-image shadow-removal process presents a crucial problem for the computer vision domain, which also functions as a prerequisite for many other tasks like segmentation and classification. Many promising approaches have already been developed, but unlike previous methods, this study tries to capitalize on the availability of DEMs to enhance the shadow removal process. Shadows in orthophotos are inherently linked to the underlying geospatial topology, and DEMs provide a valuable source of information for mitigating their impact. Therefore, this thesis explores the integration of DEMs into a state-of-the-art deep learning pipeline. DEMs are examined for their role in generating training sets and as supplementary input for a multi-modal network. Notably, 3D geometry derived from DEMs complemented by ray-tracing is used to generate artificial shadows with realistic shapes. Subsequently, an experiment is conducted with the created dataset to empirically test if additional elevation data is beneficial for the performance of the models. Additionally, the model’s ability to generalize from artificial to real shadows was probed. The experiment on virtual shadows showed that providing additional elevation data to the shadow-removal network does yield significantly better results with a medium to large effect size. Initially, all trained models failed to generalize to real shadow data. Downsizing the dataset to a lower level of detail mitigated this problem. Together with an analysis of the output of each network layer, it was concluded that the reason for the subpar real data performance are remaining small-scale shadows in the train set. A visual analysis of the improved models showed noticeable improvements with the generated realistic shadow shapes compared to random ones. Moreover, the utility of additional elevation data as input for the models was demonstrated.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5338 ], "co_supervisor": [ 1919 ], "doi": "10.34726/hss.2024.112641", "open_access": "yes", "pages": "70", "supervisor": [ 1110 ], "research_areas": [], "keywords": [ "Shadow-Removal", "Shadow-Detection", "Orthophotos", "Digital Elevation Models", "Deep-Learning", "Generative Adversarial Models", "Computer Vision" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "staats-2024-atr-thesis.pdf", "type": "application/pdf", "size": 5090122, "path": "Publication:staats-2024-atr", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/staats-2024-atr/staats-2024-atr-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/staats-2024-atr/staats-2024-atr-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/staats-2024-atr/", "__class": "Publication" }, { "id": "tanaka-2024-vor", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/209946", "title": "Visualization of Relationships between Precipitation and River Water Levels", "date": "2024", "abstract": "Observation of precipitation changes is important for a variety of purposes such as predicting river levels. Previous studies for data visualization of precipitation and river water levels plotted graphs and color bars were many stations on a map. Instead of such visualizations on a map, we construct a graph to imitate a connected structure such as a tributary of a river in this study. Our method displays two pseudo-coloring sparklines at nodes of the graph as the stations. The method can visualize the time difference between the increase in precipitation upstream and the increase in river water level downstream. Users can observe precipitation and river water levels at different observation points. Our method uses a Delaunay diagram connecting gauging positions to interpolate and calculate precipitation at river level observation points. This avoids the discrepancy between observation points.In addition, we adjust the amount of visualized information by skipping the display of several observation points based on the similarity of the time-series data at each station, which is calculated by applying the dynamic time-stretching method. The visualization results show that downstream, once the water level rises, it tends to take longer for the water level to drop. In addition, the results show that a time lag occurs between the increase in precipitation and the rise in river levels in the mainstream, while tributaries have little time lag. In addition, data on rainfall and river levels at the same station over multiple periods and their relationship are plotted as scatter plots. The scatter plots make it easier to compare data from multiple periods at the same time than two-tone pseudo coloring sparklines.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5438, 1937, 1850, 1410, 166, 1754 ], "booktitle": "2024 28th International Conference Information Visualisation (IV)", "date_from": "2024-07-22", "date_to": "2024-07-26", "doi": "10.1109/IV64223.2024.00020", "event": "2024 28th International Conference Information Visualisation (IV)", "isbn": "979-8-3503-8016-3", "lecturer": [ 5438 ], "location": "Coimbra", "pages": "6", "pages_from": "58", "pages_to": "63", "publisher": "IEEE", "research_areas": [], "keywords": [ "Geographic Information", "Meteorological Information", "River Water level", "Interpolation", "Precipitation", "Rain", "Image color analysis", "Data visualization", "Rivers", "Space stations", "Bars" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/tanaka-2024-vor/", "__class": "Publication" }, { "id": "toepfer-2024-spx", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/203924", "title": "SPX: A Versatile Spatial Indexing Framework", "date": "2024", "abstract": "The integration of modern genetic techniques, advanced volumetric imaging methods, and single-cell extraction methods has empowered neurobiologists to create extensive digitized and coregistered specimen sample collections. These collections serve as valuable resources for studying neuronal structures, functional compartments, and neurological connections within the brain. By sampling single cells from various locations within the animal brain, scientists can investigate cell type distributions and gene expressions. However, the exploration of these vast collections, which include volumetric images, segmented structures, and gene expression data, poses a significant challenge in neuroscience. Efficient access to specific regions of interest in all images, derivative processed data, cell samples, and metadata is essential for researchers. In this thesis, I present a flexible and extensible approach to spatially index and store volumetric grid data and region-based data, enabling efficient access and providing a streamlined method for implementing new data abstractions, query types, and indexing strategies. The framework supports different datasets, the encoding of neurological structural types, and incorporates a layering mechanism to handle multiple data representations or time-dependent data within a single data structure. Standardized interfaces are defined for loading voxel and region data, preprocessing them, creating data abstractions, and implementing new query types. The data storage is managed using a storage engine approach, allowing users to leverage different storage mechanisms or introduce their own.This thesis provides an overview of conceptual ideas, implementation details, current data abstractions, and query types. The system was evaluated in terms of performance and scalability in its current use cases. A short introduction to three applications, BrainBaseWeb, BrainTrawler, and BrainTrawler Lite, exemplifies the usage of this framework.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5401 ], "doi": "10.34726/hss.2024.119688", "open_access": "yes", "pages": "157", "supervisor": [ 166 ], "research_areas": [], "keywords": [ "spatial indexing", "volume data", "brain atlas" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "toepfer-2024-spx-thesis.pdf", "type": "application/pdf", "size": 3832321, "path": "Publication:toepfer-2024-spx", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/toepfer-2024-spx/toepfer-2024-spx-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/toepfer-2024-spx/toepfer-2024-spx-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/toepfer-2024-spx/", "__class": "Publication" }, { "id": "muth-2024-edt", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/202187", "title": "Exploring Drusen Type and Appearance using Interpretable GANs", "date": "2024", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5391, 5392, 1410, 5393, 5394, 5395 ], "booktitle": "VCBM 2024: Eurographics Workshop on Visual Computing for Biology and Medicine", "date_from": "2024-09-19", "date_to": "2024-09-20", "doi": "10.2312/vcbm.20241187", "event": "Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM 2024)", "lecturer": [ 5396 ], "research_areas": [], "keywords": [ "Image Processing", "Machine Learning", "Ophthalmology" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/muth-2024-edt/", "__class": "Publication" }, { "id": "parakkat-2024-ballmerge", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/197864", "title": "BallMerge: High‐quality Fast Surface Reconstruction via Voronoi Balls", "date": "2024", "abstract": "We introduce a Delaunay-based algorithm for reconstructing the underlying surface of a given set of unstructured points in 3D. The implementation is very simple, and it is designed to work in a parameter-free manner. The solution builds upon the fact that in the continuous case, a closed surface separates the set of maximal empty balls (medial balls) into an interior and exterior. Based on discrete input samples, our reconstructed surface consists of the interface between Voronoi balls, which approximate the interior and exterior medial balls. An initial set of Voronoi balls is iteratively processed, merging Voronoi-ball pairs if they fulfil an overlapping error criterion. Our complete open-source reconstruction pipeline performs up to two quick linear-time passes on the Delaunay complex to output the surface, making it an order of magnitude faster than the state of the art while being competitive in memory usage and often superior in quality. We propose two variants (local and global), which are carefully designed to target two different reconstruction scenarios for watertight surfaces from accurate or noisy samples, as well as real-world scanned data sets, exhibiting noise, outliers, and large areas of missing data. The results of the global variant are, by definition, watertight, suitable for numerical analysis and various applications (e.g., 3D printing). Compared to classical Delaunay-based reconstruction techniques, our method is highly stable and robust to noise and outliers, evidenced via various experiments, including on real-world data with challenges such as scan shadows, outliers, and noise, even without additional preprocessing.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 813, "image_height": 248, "name": "parakkat-2024-ballmerge-image.png", "type": "image/png", "size": 308382, "path": "Publication:parakkat-2024-ballmerge", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/parakkat-2024-ballmerge-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/parakkat-2024-ballmerge-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1825, 948, 823, 5297 ], "doi": "10.1111/cgf.15019", "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "2", "open_access": "yes", "pages": "13", "publisher": "WILEY", "volume": "43", "research_areas": [], "keywords": [ "surface reconstruction", "voronoi", "point clouds" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 813, "image_height": 248, "name": "parakkat-2024-ballmerge-image.png", "type": "image/png", "size": 308382, "path": "Publication:parakkat-2024-ballmerge", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/parakkat-2024-ballmerge-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/parakkat-2024-ballmerge-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "parakkat-2024-ballmerge-paper.pdf", "type": "application/pdf", "size": 75917181, "path": "Publication:parakkat-2024-ballmerge", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/parakkat-2024-ballmerge-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/parakkat-2024-ballmerge-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Superhumans", "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/", "__class": "Publication" }, { "id": "pichler-2024-vaf", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/204038", "title": "Visual Analytics für Deep Learning mit Graphen: Case Study Neuronen Clustering", "date": "2024", "abstract": "Many deep learning applications are based on graph data in order to explore relationships or to analyze structures. Labeling this data is expensive and often requires expert knowledge. For the application of graph clustering to neuron data, the SOTA method GraphDINO generates self-supervised graph embeddings combined with the downstream task of clustering these embeddings. We observe on a particularly challenging neuron dataset that this method does not lead to satisfying clustering results. Therefore we use the graph embeddings generated by GraphDINO as an initial starting point to improve the network and to guide the network training. To achieve this, we developed the visual analytics framework NetDive. The user can analyze the graph embeddings and label single neurons that are falsely clustered. This annotation information is then used to train a semi-supervised model. To this end, we developed a network architecture, named GraphPAWS, that assembles components of GraphDINO and of the semi-supervised network architecture PAWS. The model training can be started from within the visual analytics application NetDive and the resulting graph embeddings are available in NetDive as soon as the retraining is completed. We demonstrate how we iteratively train the model using NetDive and GraphPAWS and evaluate our model against the self-supervised SOTA for our dataset.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Example neurons for each spiny clusters of the BBP dataset, with apical\ndendrites in lighter color and basal dendrites in darker color.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 811, "image_height": 528, "name": "pichler-2024-vaf-teaser.png", "type": "image/png", "size": 365626, "path": "Publication:pichler-2024-vaf", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pichler-2024-vaf/pichler-2024-vaf-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pichler-2024-vaf/pichler-2024-vaf-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1940 ], "co_supervisor": [ 5404, 231 ], "doi": "10.34726/hss.2024.112190", "open_access": "yes", "pages": "134", "supervisor": [ 166 ], "research_areas": [], "keywords": [ "Graph embedding", "Visual Analytics" ], "weblinks": [], "files": [ { "description": "Example neurons for each spiny clusters of the BBP dataset, with apical\ndendrites in lighter color and basal dendrites in darker color.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 811, "image_height": 528, "name": "pichler-2024-vaf-teaser.png", "type": "image/png", "size": 365626, "path": "Publication:pichler-2024-vaf", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pichler-2024-vaf/pichler-2024-vaf-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pichler-2024-vaf/pichler-2024-vaf-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "pichler-2024-vaf-thesis.pdf", "type": "application/pdf", "size": 5460090, "path": "Publication:pichler-2024-vaf", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pichler-2024-vaf/pichler-2024-vaf-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pichler-2024-vaf/pichler-2024-vaf-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pichler-2024-vaf/", "__class": "Publication" }, { "id": "rauer-zechmeister-2024-h3p", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/206130", "title": "HORA 3D: Personalized Flood Risk Visualization as an Interactive Web Service", "date": "2024", "abstract": "We propose an interactive web-based application to inform the general public about personal flood risks. Flooding is the natural hazard affecting most people worldwide. Protection against flooding is not limited to mitigation measures, but also includes communicating its risks to affected individuals to raise awareness and preparedness for its adverse effects. Until now, this is mostly done with static and indiscriminate 2D maps of the water depth. These flood hazard maps can be difficult to interpret and the user has to derive a personal flood risk based on prior knowledge. In addition to the hazard, the flood risk has to consider the exposure of the own house and premises to high water depths and flow velocities as well as the vulnerability of particular parts. Our application is centered around an interactive personalized visualization to raise awareness of these risk factors for an object of interest. We carefully extract and show only the relevant information from large precomputed flood simulation and geospatial data to keep the visualization simple and comprehensible. To achieve this goal, we extend various existing approaches and combine them with new real-time visualization and interaction techniques in 3D. A new view-dependent focus+context design guides user attention and supports an intuitive interpretation of the visualization to perform predefined exploration tasks. HORA 3D enables users to individually inform themselves about their flood risks. We evaluated the user experience through a broad online survey with 87 participants of different levels of expertise, who rated the helpfulness of the application with 4.7 out of 5 on average.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5421, 877, 5422, 1207, 1205, 1688, 1689, 1330, 166, 798 ], "articleno": "e15110", "doi": "10.1111/cgf.15110", "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "3", "pages": "12", "publisher": "WILEY", "volume": "43", "research_areas": [], "keywords": [ "CCS Concepts", "Human-centered computing", "Information systems", "Visualization", "Spatial-temporal systems" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/rauer-zechmeister-2024-h3p/", "__class": "Publication" }, { "id": "riegelnegg-2024-aeo", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/198102", "title": "Automated Extraction of Complexity Measures from Engineering Drawings", "date": "2024", "abstract": "An engineering drawing is a detailed representation of an object used to communicate complex information for the purposes of design, manufacturing, and maintenance.These line drawings typically consist of multiple 2D orthographic views of a 3D object, along with dimensioning information and metadata about specific properties.Over the past decades, engineering drawings have evolved from hand-drawn sketches to highly standardized documents created with the help of CAD software.The large variety of engineering drawings makes it difficult to automatically extract abstract information in a robust way.The emergence of additive manufacturing (AM) promises companies that they can produce spare parts on demand for maintenance, potentially increasing the operational time of their infrastructure.Evaluating the AM potential of spare parts is essential from both an economic and technical perspective.This analysis of economic and technical viability requires the interpretation of complexity measures that can be derived from the engineering drawing of a spare part.The external dimensions of an object are key complexity measures to facilitate an AM potential analysis.In this thesis, we propose a processing pipeline that automates the extraction of complexity measures from engineering drawings, focusing on the external dimensions of the depicted objects.An in-depth examination of engineering drawings from different eras forms the basis of our methodology.Our pipeline is designed to be adaptable and consists of interpretable stages for specific tasks.We segment important entities in the input drawing to detect candidate dimension lines that are subsequently filtered by a sequence of processing steps.The grid structure of the orthographic views is determined, which allows us to assign axis labels to each view.We run optical character recognition (OCR) on detected dimension numbers and use the results to optimize the ratio between the OCR values and the length of dimension lines in pixels, providing us with a solution that is resilient to errors in the OCR predictions.A prototypical implementation of our pipeline demonstrates its capabilities in handling a large variety of drawings.We conduct a basic quantitative and qualitative evaluation of our methodology.The results confirm the effectiveness of our approach in automatically extracting abstract information from real-world engineering drawings.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1655 ], "doi": "10.34726/hss.2024.115164", "open_access": "yes", "pages": "117", "supervisor": [ 166 ], "research_areas": [], "keywords": [ "engineering drawing", "information extraction", "computer vision", "pattern recognition", "deep learning", "additive manufacturing", "vision transformer" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "riegelnegg-2024-aeo-thesis.pdf", "type": "application/pdf", "size": 5046482, "path": "Publication:riegelnegg-2024-aeo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/riegelnegg-2024-aeo/riegelnegg-2024-aeo-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/riegelnegg-2024-aeo/riegelnegg-2024-aeo-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/riegelnegg-2024-aeo/", "__class": "Publication" }, { "id": "xmas-2023", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2023", "date": "2023-12", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2283, "image_height": 1615, "name": "xmas-2023-image.png", "type": "image/png", "size": 4679564, "path": "Publication:xmas-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 848, 1636, 1869, 1935, 1129, 193 ], "research_areas": [], "keywords": [ "Christmas", "Santa Edi", "Holy Michi", "Vulkan", "Auto-Vk-Toolkit", "Auto-Vk", "Tamashii", "Cyberpunk", "RTX. It's on.", "Christmas Tree" ], "weblinks": [], "files": [ { "description": "Christmas Card as PDF", "filetitle": "Card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "xmas-2023-Card.pdf", "type": "application/pdf", "size": 1240736, "path": "Publication:xmas-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-Card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-Card:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2283, "image_height": 1615, "name": "xmas-2023-image.png", "type": "image/png", "size": 4679564, "path": "Publication:xmas-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-image:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/", "__class": "Publication" }, { "id": "Zezulka_Matthias-2023-MatLabOptInterface", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Bidirectional MATLAB/C++ Interface for Lighting Design Optimization", "date": "2023-12", "abstract": "The lighting design of (virtual) space is an important aspect of our daily environment. It\nnot only allows for creative expression but is often a necessary asset in professional work\nenvironments and artistic productions. However, due to the computational complexity of\nthis problem, current solutions are usually built in performance-oriented programming\nlanguages that offer a detailed low-level view of the application on the one hand but\ndo not allow for fast development and easy exchange of algorithms on the other. This\nwork builds on the already existing C++ rendering framework Tamashii, proposed\nby Lipp et al. in 2023 [20], which offers view-independent and gradient-based global\nlighting design optimization. We propose a way to integrate MATLAB functions into the\noptimization process in order to not only allow for easier development of optimization\nalgorithms but also enable access to MATLAB’s existing code base and numerical analysis\ntools. We therefore implement a bidirectional MATLAB/C++ interface for exchanging\noptimization data between the rendering process and the MATLAB process. In order to\nachieve this functionality, we use the MATLAB Engine API for C++ and the MATLAB\nMEX API, which are both natively contained within MATLAB. Further, we implement a\nmechanism for inter-process communication using Windows Named Pipes and a custom\ncommunication protocol.\nIn addition, this work also briefly discusses various optimization methods and the use\nof Surrogate-Based Optimization (SBO) for the global lighting design problem. We\nshow that our method achieves great performance and evaluate it against plain C++\nimplementations on two test scenes by not only testing optimization methods via the\ninterface but also testing simple rendering of new lighting configurations. The test results\nalso show that MALTAB’s current SBO implementation can bring good performance to\nthe optimization problem we encounter in Tamashii in certain scenes. Lastly, we discuss\nthe increased usability and insight into optimization methods achieved by integrating\nMATLAB into Tamashii.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5257 ], "date_end": "2023-12-18", "date_start": "2023-03-15", "matrikelnr": "e11914298", "supervisor": [ 193, 1946 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": { "1": { "description": null, "filetitle": "BSc Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Zezulka_Matthias-2023-MatLabOptInterface-BSc Thesis.pdf", "type": "application/pdf", "size": 4185305, "path": "Publication:Zezulka_Matthias-2023-MatLabOptInterface", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Zezulka_Matthias-2023-MatLabOptInterface/Zezulka_Matthias-2023-MatLabOptInterface-BSc Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Zezulka_Matthias-2023-MatLabOptInterface/Zezulka_Matthias-2023-MatLabOptInterface-BSc Thesis:thumb{{size}}.png" } }, "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Zezulka_Matthias-2023-MatLabOptInterface/", "__class": "Publication" }, { "id": "Grossfurtner-2023-paego", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Generating Aesthetic Plant Models from an Open Data Format of the Project for Sustainable Agroecosystems in Godot", "date": "2023-12", "abstract": "This bachelor's thesis explores the development of a plugin for the open-source game engine Godot 3.5, aimed at providing an easy way for procedurally creating pleasing plant visualizations, specifically in the frame of the Sustainable Agroecosystem project. This is achieved by importing data conforming to a predefined format that abstractly describes the structure of plant organisms. Upon import, the plugin generates 3D surfaces for the branching structures and employs instancing for rendering leaves efficiently. One of the key features of the plugin is its adaptive surface subdivision mechanism, which dynamically generates the surface at different levels of detail based on the proximity to the camera.\n\nThe plugin's implementation leverages Godot's GDPlugin feature to seamlessly integrate into the engine's workflow. The procedural generation of plant structures is achieved through algorithmic processes that translate \"tree skeletons\" into 3D surfaces. However, due to limitations inherent in Godot 3, the adaptive subdivision mechanism is implemented on the CPU. In tests, this resulted in the following: Exports of models in the highest level of detail yielded better performance than models with adaptive subdivision.\n\nThe thesis covers the design, implementation, and theory behind the plugin. An evaluation of the plugin's functionality and performance is conducted, highlighting its capability to dynamically adapt the mesh at runtime. Performance comparisons between the adaptive subdivision approach and using the exported surface are presented, revealing the issues with the implementation on the CPU.\n\nIn conclusion, the developed plugin presents a novel approach to procedurally generate and render complex plant structures within the Godot 3.5 game engine. It extends the capabilities of the engine in creating realistic virtual environments while addressing the challenges of adaptive subdivision on the CPU. The thesis explores the intricacies of integrating such plugins into game engines and opens avenues for further optimizations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser-img", "main_file": false, "use_in_gallery": false, "access": "hidden", "image_width": 741, "image_height": 1032, "name": "Grossfurtner-2023-paego-teaser-img.png", "type": "image/png", "size": 629380, "path": "Publication:Grossfurtner-2023-paego", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Grossfurtner-2023-paego/Grossfurtner-2023-paego-teaser-img.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Grossfurtner-2023-paego/Grossfurtner-2023-paego-teaser-img:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5302 ], "date_end": "2023-12", "date_start": "2021-11", "matrikelnr": "0271409", "supervisor": [ 193 ], "research_areas": [ "Geometry", "Modeling", "Rendering" ], "keywords": [ "rendering", "modeling", "plant" ], "weblinks": [], "files": { "1": { "description": "BSc Thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Grossfurtner-2023-paego-thesis.pdf", "type": "application/pdf", "size": 8990712, "path": "Publication:Grossfurtner-2023-paego", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Grossfurtner-2023-paego/Grossfurtner-2023-paego-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Grossfurtner-2023-paego/Grossfurtner-2023-paego-thesis:thumb{{size}}.png" } }, "projects_workgroups": [ "d4984" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Grossfurtner-2023-paego/", "__class": "Publication" }, { "id": "turner-aso", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "A Study on the Impact of Uncertainties on the Analytical Process", "date": "2023-12", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 708, "preview_image_height": 333, "name": "turner-aso-.pdf", "type": "application/pdf", "size": 2585393, "path": "Publication:turner-aso", "preview_name": "turner-aso-:preview.JPG", "preview_type": "image/jpeg", "preview_size": 45281, "url": "https://www.cg.tuwien.ac.at/research/publications/2023/turner-aso/turner-aso-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/turner-aso/turner-aso-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5331 ], "date_end": "2023", "date_start": "2023", "matrikelnr": "11908540", "supervisor": [ 1410 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 708, "preview_image_height": 333, "name": "turner-aso-.pdf", "type": "application/pdf", "size": 2585393, "path": "Publication:turner-aso", "preview_name": "turner-aso-:preview.JPG", "preview_type": "image/jpeg", "preview_size": 45281, "url": "https://www.cg.tuwien.ac.at/research/publications/2023/turner-aso/turner-aso-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/turner-aso/turner-aso-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/turner-aso/", "__class": "Publication" }, { "id": "Koeppl-2023-DLO", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Gradient-based Light Optimization with Variable Light Count: Dynamic Generation and Merging of Light Sources", "date": "2023-12", "abstract": "This thesis focuses on improvements for an interactive lighting design approach that\nutilizes GPU-accelerated ray tracing and a view-independent global illumination solver.\nOur goal is to enable automated lighting design for a set of user-specified illumination\ntargets in 3D scenes. Current solvers are highly effective but still have some limitations.\nFor instance, they rely on an initial number of light sources and their respective placements\nin a given 3D scene and this can result in insufficient solutions when there are more target\nspots than provided light sources. On the other hand, if there are more light sources\nthan needed, the resulting solution can be sub-optimal, leading to superimposed lights\nthat can negatively impact performance and increase computational cost.\nIn response to the limitations, we investigate several strategies for increasing the effectiveness\nand efficiency of the optimization algorithm by developing a dynamic light\nsource generation approach that programmatically inserts and removes lights in the 3D\nscene to achieve a more refined light placement. In our results, we show that our specialized\noptimization approach, yields improved lighting solutions compared to established\nalgorithms.\nMoreover, we also implement a light source merging technique to address the issue of\nlight sources with overlapping areas of influence. By formulating conditions on intensity\nand proximity and then applying linear interpolation, we can combine overlapping light\nsources in a way that minimizes performance impact and computational cost. We also\ntake measures to remove lights with a small illumination contribution to the scene\nduring the optimization process. Evidence from our study suggests that our approach of\nexpanding the solution space and improving the light source placement achieves superior\nlighting solutions for any given scene.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5237 ], "date_end": "2023-12-18", "date_start": "2023-02-28", "matrikelnr": "e12022493", "supervisor": [ 193, 1946, 1525 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": { "1": { "description": null, "filetitle": "BSc Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Koeppl-2023-DLO-BSc Thesis.pdf", "type": "application/pdf", "size": 24560599, "path": "Publication:Koeppl-2023-DLO", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Koeppl-2023-DLO/Koeppl-2023-DLO-BSc Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Koeppl-2023-DLO/Koeppl-2023-DLO-BSc Thesis:thumb{{size}}.png" } }, "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Koeppl-2023-DLO/", "__class": "Publication" }, { "id": "groeller-2023-siv", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/193551", "title": "Scalable Interactive Visual Analysis Through Storytelling", "date": "2023-11-29", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2023-11-28", "date_to": "2023-11-30", "event": "IConCMT – The 5th International Conference on Creative\\Media/Technologies 2023", "lecturer": [ 166 ], "location": "St. Pölten", "research_areas": [], "keywords": [ "Visualization" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/groeller-2023-siv/", "__class": "Publication" }, { "id": "eschner-2023-evl", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Echtzeitvisualisierung von Lawinenrisiko basierend auf hochauflösenden Geodaten", "date": "2023-11-18", "abstract": "Um das Lawinenrisiko auf Touren abzuschätzen, konsultieren Tourengeher·innen typischerweise vorab den aktuellen Lawinenlagebericht (LLB) sowie die Geländeeigenschaften, wie Hangneigung, Höhe und Exposition der geplanten Tour auf einer Karte. Reduktionsmethoden wie Stop-or-Go oder die SnowCard können sowohl bei der Planung als auch vor Ort angewandt werden, um das Risiko abzuschätzen. Bei korrekter Anwendung dieser Methoden könnte ein Großteil der Todesfälle vermieden werden. Die Anwendung umfasst jedoch mehrere kognitiv aufwändige Schritte: Im ersten Schritt müssen Tourengeher·innen die Informationen aus LLB und Karte korrekt verknüpfen und anhand der gewählten Methode interpretieren, um potenziell kritische Regionen entlang der Route vorab identifizieren zu können. Im zweiten Schritt müssen potenziell kritische Regionen auch während der Tour als solche wiedererkannt und vor Ort beurteilt werden. \nUm die Anwendung von Reduktionsmethoden für Wintersportler·innen zu vereinfachen, können die Informationen aus LLB computergestützt mit den Geländeeigenschaften ausgewertet und direkt in einer Karte dargestellt werden. Skitourenguru, beispielsweise, berechnet das Lawinenrisiko entlang vorgegebener Routen und stellt diese in einer 2D Karte dar. Im Vergleich zu 2D Karten erleichtert eine dreidimensionale Darstellung jedoch die Interpretation des Geländes und das Finden von Routen. Unsere Hypothese ist daher, dass eine direkte Visualisierung des Lawinenrisikos auf einer detaillierten 3D Karte die Identifikation von potenziell kritischen Regionen einer Route in der Planungsphase, sowie deren Wiedererkennung während der Tour, erleichtert.\nWir stellen eine integrierte 3D Risikovisualisierung vor, welche Daten aus dem aktuellen LLB mit einem hochauflösenden Geländemodell kombiniert und existierende Reduktionsmethoden in Echtzeit auswertet, um das Ergebnis auf einer interaktiven Webseite zu visualisieren.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2076, "image_height": 1192, "name": "eschner-2023-evl-.png", "type": "image/png", "size": 4716902, "path": "Publication:eschner-2023-evl", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-evl/eschner-2023-evl-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-evl/eschner-2023-evl-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1653, 1013, 1110 ], "booktitle": "Lawinensymposium 2023", "cfp": { "name": "lawinensymposium_cfp.pdf", "type": "application/pdf", "error": "0", "size": "3319607", "orig_name": "lawinensymposium_cfp.pdf", "ext": "pdf" }, "event": "Lawinensymposium 2023", "lecturer": [ 1653 ], "location": "Graz", "pages_from": "38", "pages_to": "43", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://alpinemaps.cg.tuwien.ac.at/ ", "caption": "online demo", "description": " Demo version of the avalanche risk visualization ", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2076, "image_height": 1192, "name": "eschner-2023-evl-.png", "type": "image/png", "size": 4716902, "path": "Publication:eschner-2023-evl", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-evl/eschner-2023-evl-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-evl/eschner-2023-evl-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eschner-2023-evl-paper preprint.pdf", "type": "application/pdf", "size": 21355472, "path": "Publication:eschner-2023-evl", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-evl/eschner-2023-evl-paper preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-evl/eschner-2023-evl-paper preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-evl/", "__class": "Publication" }, { "id": "ehlers-2023-iro", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/192189", "title": "Improving readability of static, straight-line graph drawings: A first look at edge crossing resolution through iterative vertex splitting", "date": "2023-11", "abstract": "We present a novel vertex-splitting approach to iteratively resolve edge crossings in order to improve the readability of graph drawings. Dense graphs, even when small in size (10 to 15 nodes in size) quickly become difficult to read with increasing numbers of edges, and form so-called “hairballs”. The readability of a graph drawing is measured using many different quantitative aesthetic metrics. One such metric of particular importance is the number of edge crossings. Classical approaches to improving readability, such as the minimization of the number of edge crossings, focus on providing overviews of the input graph by aggregating or sampling vertices and/or edges. However, this simplification of the graph drawing does not allow for detailed views into the data, as not all vertices or edges are rendered, and also requires sophisticated interaction approaches to perform well. To avoid this, our locally optimal vertex splitting approach aims to minimize the number of remaining edge crossings while also minimizing the number of vertices that need to be split. In each iteration, we identify the vertex contributing the largest number of edge crossings, remove it, locate the embedding locations of said vertex's two split copies, and determine each copy's unique adjacency. We conduct a user study with 52 participants to evaluate whether vertex splitting affects users’ abilities to conduct a set of graph analytical tasks on graphs 12 nodes in size. Users were tasked with identifying a vertex's adjacency, determining the shared neighbors of two vertices, and checking the validity of a set of paths. We ultimately conclude that within the context of small, dense graphs, systematic vertex splitting is preferred by participants and even positively impacts user performance, though at the cost of the time taken per task.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1850, 5308, 1410, 1464 ], "doi": "10.1016/j.cag.2023.09.010", "issn": "1873-7684", "journal": "COMPUTERS & GRAPHICS-UK", "pages": "16", "pages_from": "448", "pages_to": "463", "publisher": "PERGAMON-ELSEVIER SCIENCE LTD", "volume": "116", "research_areas": [ "NetVis" ], "keywords": [ "Edge crossings", "Graph aesthetics", "Network visualization", "Vertex splitting" ], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/ehlers-2023-iro/", "__class": "Publication" }, { "id": "freude-2023-prh", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/190854", "title": "Precomputed radiative heat transport for efficient thermal simulation", "date": "2023-11", "abstract": "Architectural design and urban planning are complex design tasks. Predicting the thermal impact of design choices at interactive rates enhances the ability of designers to improve energy efficiency and avoid problematic heat islands while maintaining design quality. We show how to use and adapt methods from computer graphics to efficiently simulate heat transfer via thermal radiation, thereby improving user guidance in the early design phase of large-scale construction projects and helping to increase energy efficiency and outdoor comfort. Our method combines a hardware-accelerated photon tracing approach with a carefully selected finite element discretization, inspired by precomputed radiance transfer. This combination allows us to precompute a radiative transport operator, which we then use to rapidly solve either steady-state or transient heat transport throughout the entire scene. Our formulation integrates time-dependent solar irradiation data without requiring changes in the transport operator, allowing us to quickly analyze many different scenarios such as common weather patterns, monthly or yearly averages, or transient simulations spanning multiple days or weeks. We show how our approach can be used for interactive design workflows such as city planning via fast feedback in the early design phase.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 895, "image_height": 395, "name": "freude-2023-prh-image.png", "type": "image/png", "size": 368081, "path": "Publication:freude-2023-prh", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-image:thumb{{size}}.png" }, "sync_repositum_override": "date,date_from,date_to,event,lecturer,pages_from,pages_to", "repositum_presentation_id": null, "authors": [ 1128, 1946, 1063, 1525, 193 ], "articleno": "e14957", "date_from": "2023-11", "date_to": "2023-11", "doi": "10.1111/cgf.14957", "event": "Pacific Graphics 2023", "first_published": "2023-11", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1128 ], "number": "7", "open_access": "yes", "pages": "14", "publisher": "WILEY", "volume": "42", "research_areas": [ "Rendering" ], "keywords": [ "thermal radiation", "rendering", "computer graphics" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 895, "image_height": 395, "name": "freude-2023-prh-image.png", "type": "image/png", "size": 368081, "path": "Publication:freude-2023-prh", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "freude-2023-prh-paper.pdf", "type": "application/pdf", "size": 10540215, "path": "Publication:freude-2023-prh", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314", "d9259" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/", "__class": "Publication" }, { "id": "kimmersdorfer-fancyMaps-2023", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Fancy Alpine Maps", "date": "2023-11", "abstract": "In this report, I detail the significant enhancements and optimizations done to the Alpine Maps renderer.\n\nAdvanced techniques in shading and shadow mapping were integrated to boost visual effects and performance. Benchmarks on two GPUs, an NVIDIA GeForce RTX 3060 Ti and AMD Radeon HD 7700M, demonstrated the effectiveness of these updates. \n\nIn addition to the current updates, the report also outlines future work aimed at further enhancing the efficiency of the Alpine Maps renderer.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "fancy alpine maps teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2362, "image_height": 1772, "name": "kimmersdorfer-fancyMaps-2023-fancy alpine maps teaser.jpg", "type": "image/jpeg", "size": 1507631, "path": "Publication:kimmersdorfer-fancyMaps-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-fancy alpine maps teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-fancy alpine maps teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1869 ], "date_end": "2023-11", "date_start": "2023-04", "matrikelnr": "01326608", "supervisor": [ 1110, 1013 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [ { "href": "https://alpinemaps.org/", "caption": "alpinemaps.org", "description": "Alpine Maps online (see Settings for fancy stuff) ", "main_file": 1 }, { "href": "https://github.com/GeraldKimmersdorfer/fancyalpinemapsrenderer", "caption": "github fancy alpine maps", "description": "Fancy Alpine Maps Github (Alpine Maps fork)", "main_file": 0 }, { "href": "https://github.com/AlpineMapsOrg/renderer", "caption": "github alpine maps", "description": "Alpine Maps GitHub", "main_file": 0 } ], "files": [ { "description": "Windows binaries of the Fancy Alpine Maps project.", "filetitle": "alpine maps v23.11 win", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kimmersdorfer-fancyMaps-2023-alpine maps v23.11 win.zip", "type": "application/x-zip-compressed", "size": 39961999, "path": "Publication:kimmersdorfer-fancyMaps-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-alpine maps v23.11 win.zip", "thumb_image_sizes": [] }, { "description": null, "filetitle": "fancy alpine maps teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2362, "image_height": 1772, "name": "kimmersdorfer-fancyMaps-2023-fancy alpine maps teaser.jpg", "type": "image/jpeg", "size": 1507631, "path": "Publication:kimmersdorfer-fancyMaps-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-fancy alpine maps teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-fancy alpine maps teaser:thumb{{size}}.png" }, { "description": "Detailed project report including implementation details, benchmark results and ideas on future work.", "filetitle": "report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kimmersdorfer-fancyMaps-2023-report.pdf", "type": "application/pdf", "size": 525139, "path": "Publication:kimmersdorfer-fancyMaps-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-report:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/", "__class": "Publication" }, { "id": "piccolotto-2023-dta", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/189927", "title": "Data Type Agnostic Visual Sensitivity Analysis", "date": "2023-10-26", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "doi,issn,open_access,pages_from,pages_to", "repositum_presentation_id": null, "authors": [ 5311, 5312, 5313, 5314, 962, 950, 966 ], "date_from": "2023-10-22", "date_to": "2023-10-27", "doi": "10.1109/TVCG.2023.3327203", "event": "IEEE VIS 2023", "issn": "1077-2626", "lecturer": [ 5312 ], "location": "Melbourne", "open_access": "yes", "pages_from": "1", "pages_to": "11", "research_areas": [], "keywords": [ "Visual Analytics", "Visualization" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/piccolotto-2023-dta/", "__class": "Publication" }, { "id": "medeiros-2023-gwf", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/193561", "title": "Going with the flow: using immersive analytics to support lifetime predictions of hydropower turbines", "date": "2023-10-13", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 536, "image_height": 320, "name": "medeiros-2023-gwf-teaser.png", "type": "image/png", "size": 116775, "path": "Publication:medeiros-2023-gwf", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/medeiros-2023-gwf-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/medeiros-2023-gwf-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5326, 5327, 5328, 5329, 950 ], "booktitle": "Proceedings SUI 2023 ACM : Symposium on Spatial User Interaction", "date_from": "2023-10-13", "date_to": "2023-10-15", "doi": "10.1145/3607822.3618009", "editor": "Huang, Tony and Sra, Misha and Argelaguet, Ferran and Lopes, Pedro and Barrera Machuca, Mayra Donaji", "event": "SUI '23: ACM Symposium on Spatial User Interaction", "isbn": "979-8-4007-0281-5", "lecturer": [ 5326 ], "location": "Sydney", "open_access": "no", "pages": "2", "publisher": "Association for Computing Machinery", "research_areas": [ "InfoVis", "VR" ], "keywords": [ "Data visualization", "Virtual Reality", "Egocentric Navigation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "medeiros-2023-gwf-paper.pdf", "type": "application/pdf", "size": 1351229, "path": "Publication:medeiros-2023-gwf", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/medeiros-2023-gwf-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/medeiros-2023-gwf-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 536, "image_height": 320, "name": "medeiros-2023-gwf-teaser.png", "type": "image/png", "size": 116775, "path": "Publication:medeiros-2023-gwf", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/medeiros-2023-gwf-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/medeiros-2023-gwf-teaser:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/", "__class": "Publication" }, { "id": "ohrhallinger_stefan-2023-con", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Feature-Sized Sampling for Vector Line Art", "date": "2023-10-12", "abstract": "By introducing a first-of-its-kind quantifiable sampling algorithm based on feature size, we present a fresh perspective on the practical aspects of planar curve sampling. Following the footsteps of ε-sampling, which was originally proposed in the context of curve reconstruction to offer provable topological guarantees [ABE98] under quantifiable bounds, we propose an arbitrarily precise ε-sampling algorithm for sampling smooth planar curves (with a prior bound on the minimum feature size of the curve). This paper not only introduces the first such algorithm which provides user-control and quantifiable precision but also highlights the importance of such a sampling process under two key contexts: 1) To conduct a first study comparing theoretical sampling conditions with practical sampling requirements for reconstruction guarantees that can further be used for analysing the upper bounds of ε for various reconstruction algorithms with or without proofs, 2) As a feature-aware sampling of vector line art that can be used for applications such as coloring and meshing. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 550, "image_height": 286, "name": "ohrhallinger_stefan-2023-con-image.png", "type": "image/png", "size": 96497, "path": "Publication:ohrhallinger_stefan-2023-con", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/ohrhallinger_stefan-2023-con-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/ohrhallinger_stefan-2023-con-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948, 1825, 5297 ], "booktitle": "Proceedings of the 31th Pacific Conference on Computer Graphics and Applications", "doi": "https://doi.org/10.2312/pg.20231268", "event": "Pacific Graphics, Daejeon, South Korea, 2023", "lecturer": [ 948 ], "open_access": "yes", "pages_from": "1", "pages_to": "2", "research_areas": [ "Geometry" ], "keywords": [ "sampling", "vector line art", "meshing" ], "weblinks": [ { "href": "https://youtu.be/-x3UujZKe9E?si=QfHIyzQ0hyP3PqM3", "caption": "talk", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 550, "image_height": 286, "name": "ohrhallinger_stefan-2023-con-image.png", "type": "image/png", "size": 96497, "path": "Publication:ohrhallinger_stefan-2023-con", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/ohrhallinger_stefan-2023-con-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/ohrhallinger_stefan-2023-con-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger_stefan-2023-con-paper.pdf", "type": "application/pdf", "size": 8132185, "path": "Publication:ohrhallinger_stefan-2023-con", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/ohrhallinger_stefan-2023-con-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/ohrhallinger_stefan-2023-con-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/", "__class": "Publication" }, { "id": "wimmer-2023-acd", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/188946", "title": "Advanced Computational Design", "date": "2023-10-07", "abstract": "Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society (New European Bauhaus initiative). However, it is among the least digitized industries, caught in silo-thinking and sequential planning processes. In contrast, Information and Communication Technology creates digital design tools that are well-founded in basic research, but often lack relevant domain knowledge. Therefore, we investigate how to advance digital design tools and design processes through multi- and interdisciplinary basic research in the areas of digital architecture, integrated building design, computer graphics and virtual reality, discrete and applied geometry, and computational mechanics. Particular focus will be placed on complexity that emerges from larger-scale structures, consideration of sustainability requirements, and deeper integration of simulations in the early design phase, where the biggest impact can be achieved.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193 ], "date_from": "2023-10-04", "date_to": "2023-10-07", "event": "Advances in Architectural Geometry 2023", "lecturer": [ 193 ], "location": "Stuttgart", "research_areas": [ "Modeling" ], "keywords": [ "Computational Design", "Architecture" ], "weblinks": [], "files": [], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wimmer-2023-acd/", "__class": "Publication" }, { "id": "reisinger-2023-iad", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/188467", "title": "Integrating AEC Domain-Specific Multidisciplinary Knowledge for Informed and Interactive Feedback in Early Design Stages", "date": "2023-10", "abstract": "In the context of digitalization in the industry, a variety of technologies has been developed for system integration and enhanced team collaboration in the Architecture, Engineering and Construction (AEC) industry. Multidisciplinary design requirements are characterized by a high degree of complexity. Early design methods often rely on implicit or experiential design knowledge, whereas contemporary digital design tools mostly reflect domain-specific silo thinking with time-consuming iterative design processes. Yet, the early design stages hold the greatest potential for design optimization. This paper presents a framework of a multidisciplinary computational integration platform for early design stages that enables integration of AEC domain-specific methods from architecture, engineering, mathematics and computer science. The platform couples a semantic integrative mixed reality sketching application to a shape inference machine-learning based algorithm to link methods for different computation, simulation and digital fabrication tasks. A proof of concept of the proposed framework is presented for the use case of a freeform geometry wall. Future research will explore the potential of the framework to be extended to larger building projects with the aim to connect the method into BIM-processes.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1874, 5233, 1487, 240, 1712, 5202, 1799, 193 ], "booktitle": "Advances in Information Technology in Civil and Building Engineering: Proceedings of ICCCBE 2022 - Volume 2", "date_from": "2022-10-26", "date_to": "2022-10-28", "doi": "10.1007/978-3-031-32515-1_12", "event": "19th International Conference on Computing in Civil and Building Engineering (ICCCBE 2022)", "isbn": "978-3-031-32515-1", "lecturer": [ 1874 ], "location": "Cape Town", "pages": "18", "pages_from": "153", "pages_to": "170", "publisher": "Springer", "volume": "358", "research_areas": [ "Modeling" ], "keywords": [ "Integrated Design", "Early Design Stage", "Mixed Reality Sketching", "Shape Inference", "Computational Design", "Integration Platform", "Digital Fabrication" ], "weblinks": [], "files": [], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/reisinger-2023-iad/", "__class": "Publication" }, { "id": "groeller-2023-siv-1", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/193548", "title": "Scalable Interactive Visual Analysis", "date": "2023-09-22", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2023-09-22", "date_to": "2023-09-22", "event": "Stuttgarter Visualisierungstag 2023", "lecturer": [ 166 ], "location": "Stuttgart", "research_areas": [], "keywords": [ "Visualisierung" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/groeller-2023-siv-1/", "__class": "Publication" }, { "id": "el-sherbiny-2023-vai", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/193257", "title": "Visual Analytics for the Integrated Exploration and Sensemaking of Cancer Cohort Radiogenomics and Clinical Information", "date": "2023-09-19", "abstract": "We present a visual analytics (VA) framework for the comprehensive exploration and integrated analysis of radiogenomic and clinical data from a cancer cohort. Our framework aims to support the workflow of cancer experts and biomedical data scientists as they investigate cancer mechanisms. Challenges in the analysis of radiogenomic data, such as the heterogeneity and complexity of the data sets, hinder the exploration and sensemaking of the available patient information. These challenges can be answered through the field of VA, but approaches that bridge radiogenomic and clinical data in an interactive and flexible visual framework are still lacking. Our approach enables the integrated exploration and joint analysis of radiogenomic data and clinical information for knowledge discovery and hypothesis assessment through a flexible VA dashboard. We follow a user-centered design strategy, where we integrate domain knowledge into a semi-automated analytical workflow based on unsupervised machine learning to identify patterns in the patient data provided by our collaborating domain experts. An interactive visual interface further supports the exploratory and analytical process in a free and a hypothesis-driven manner. We evaluate the unsupervised machine learning models through similarity measures and assess the usability of the framework through use cases conducted with cancer experts. Expert feedback indicates that our framework provides suitable and flexible means for gaining insights into large and heterogeneous cancer cohort data, while also being easily extensible to other data sets.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5276, 5323, 5324, 5325, 1410 ], "booktitle": "VCBM 2023: Eurographics Workshop on Visual Computing for Biology and Medicine", "date_from": "2023-09-20", "date_to": "2023-09-22", "doi": "10.2312/vcbm.20231220", "event": "EG VCBM 2023", "isbn": "978-3-03868-177-9", "lecturer": [ 5276 ], "pages": "13", "pages_from": "121", "pages_to": "133", "publisher": "The Eurographics Association", "research_areas": [], "keywords": [ "Visual Analytics", "Human-centered computing", "Applied computing", "Life and medical sciences" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/el-sherbiny-2023-vai/", "__class": "Publication" }, { "id": "schindler-2023-sso", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/193253", "title": "Smoke Surfaces of 4D Biological Dynamical Systems", "date": "2023-09-19", "abstract": "To study biological phenomena, mathematical biologists often employ modeling with ordinary differential equations. A system of ordinary differential equations that describes the state of a phenomenon as a moving point in space across time is known as a dynamical system. This moving point emerges from the initial condition of the system and is referred to as a trajectory that “lives” in phase space, i.e., a space that defines all possible states of the system. In our previous work, we proposed ManyLands [AKS∗19]-an approach to explore and analyze typical trajectories of 4D dynamical systems, using smooth, animated transitions to navigate through phase space. However, in ManyLands the comparison of multiple trajectories emerging from different initial conditions does not scale well, due to overdrawing that clutters the view. We extend ManyLands to support the comparative visualization of multiple trajectories of a 4D dynamical system, making use of smoke surfaces. In this way, the sensitivity of the dynamical system to its initialization can be investigated. The 4D smoke surfaces can be further projected onto lower-dimensional subspaces (3D and 2D) with seamless animated transitions. We showcase the capabilities of our approach using two 4D dynamical systems from biology [Gol11, KJS06] and a 4D dynamical system exhibiting chaotic behavior [Bou15].", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1760, 1170, 1410 ], "booktitle": "VCBM 2023: Eurographics Workshop on Visual Computing for Biology and Medicine", "date_from": "2023-09-20", "date_to": "2023-09-22", "doi": "10.2312/vcbm.20231217", "editor": "Höllt, T. and Jönsson, D.", "event": "EG VCBM 2023", "isbn": "978-3-03868-010-9", "lecturer": [ 1760 ], "pages": "5", "pages_from": "93", "pages_to": "97", "publisher": "The Eurographics Association", "research_areas": [], "keywords": [ "rendering", "Human-centered computing", "scientific visualization", "Applied computing", "Life and medical sciences" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/schindler-2023-sso/", "__class": "Publication" }, { "id": "wiesinger-2023-gcg", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "CMake support and build system for a programming framework used in a foundational graphics course", "date": "2023-09", "abstract": "In the context of this project, a previously Windows-only framework which was used for an introductory graphics course was turned into a CMake-based cross-plattform project, enabling its usage by maintainers and students across all three big desktop operating systems: Windows, Linux, and macOS. Furthermore, two previously separate versions for different graphics APIs (OpenGL and Vulkan) were united into a single project, thereby further improving maintainability and development comfort.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 537, "image_height": 531, "name": "wiesinger-2023-gcg-image.png", "type": "image/png", "size": 68846, "path": "Publication:wiesinger-2023-gcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger-2023-gcg/wiesinger-2023-gcg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger-2023-gcg/wiesinger-2023-gcg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1614 ], "date_end": "2023-09", "date_start": "2022-07", "matrikelnr": "01429087", "supervisor": [ 848, 193 ], "research_areas": [ "Rendering" ], "keywords": [ "Introduction to Computer Graphics", "Foundations of Computer Graphics", "C++", "CMake", "Vulkan", "OpenGL", "Introductory Graphics Course", "Vulkan Launchpad" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/VulkanLaunchpad", "caption": "Vulkan Launchpad on GitHub", "description": null, "main_file": 1 }, { "href": "https://github.com/cg-tuwien/VulkanLaunchpadStarter", "caption": "Starter Template", "description": null, "main_file": 0 } ], "files": [ { "description": "Vulkan Launchpad", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 560, "image_height": 280, "name": "wiesinger-2023-gcg-.png", "type": "image/png", "size": 23836, "path": "Publication:wiesinger-2023-gcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger-2023-gcg/wiesinger-2023-gcg-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger-2023-gcg/wiesinger-2023-gcg-:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 537, "image_height": 531, "name": "wiesinger-2023-gcg-image.png", "type": "image/png", "size": 68846, "path": "Publication:wiesinger-2023-gcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger-2023-gcg/wiesinger-2023-gcg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger-2023-gcg/wiesinger-2023-gcg-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger-2023-gcg/", "__class": "Publication" }, { "id": "Kugler-2021", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/158174", "title": "Reconstructing Production Data from Drawn Limited Animation", "date": "2023-09", "abstract": "The creation of traditional animation is performed in multiple steps, creating various intermediary products. Image processing and machine learning could be used for the automation of some of these time-consuming steps to help animators and studios. However, machine-learning solutions require large amounts of example data, which are not available for the intermediary products of animation. On the other hand, final animation is more easily available through public datasets, video releases, and streaming services. This work aims to bridge this gap by creating a tool to predict intermediary products of animation from frames of the final video, using machine learning. The predicted production data can then be used for further research. In particular, frames of traditional animation are made out of background and foreground elements, which are produced through different workflows. Foreground elements are created by first creating color-coded lineart. These are then colored and composited with the background. In this work, machine learning is used to undo these steps by separating a final frame into the foreground and background and recreating the lineart from the former.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 574, "image_height": 362, "name": "Kugler-2021-teaser.JPG", "type": "image/jpeg", "size": 49935, "path": "Publication:Kugler-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Kugler-2021/Kugler-2021-teaser.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Kugler-2021/Kugler-2021-teaser:thumb{{size}}.png" }, "sync_repositum_override": "access,date", "repositum_presentation_id": null, "authors": [ 1632 ], "co_supervisor": [ 1639 ], "date_end": "2023-03-09", "date_start": "2020-02", "diploma_examina": "2023-03-09", "doi": "10.34726/hss.2023.82729", 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The framework is a research platform enabling the implementation of various graphics processing unit (GPU) driven (differentiable) rendering tasks and is currently under development by the institute for computer graphics at TU Wien. Tamashii offers a large set of premade functionality common to these workflows that can be leveraged by researchers to create their own custom implementations. The focus of this thesis is the integration of the Python programming language into the framework in a way that benefits all projects utilizing Tamashii in their research. With this addition the steps of loading scenes, configuring the rendering process and exporting the generated data can now be controlled using scripting. Furthermore, with the ability to employ Python directly, access to the whole ecosystem of third party software and libraries opens up, which includes many prevalent projects for optimization and machine learning algorithms. In this thesis we identify the required features and properties of such an interface, explain the design process, give technical details on the realization and finally evaluate the result by demonstrating its use.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5199 ], "date_end": "2023-09", "date_start": "2022-10", "matrikelnr": "e12020638", "supervisor": [ 193, 1946, 1525 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": { "1": { "description": null, "filetitle": "BSc thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Preymann-2022-pytamashii-BSc thesis.pdf", "type": "application/pdf", "size": 7488242, "path": "Publication:Preymann-2022-pytamashii", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Preymann-2022-pytamashii/Preymann-2022-pytamashii-BSc thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Preymann-2022-pytamashii/Preymann-2022-pytamashii-BSc thesis:thumb{{size}}.png" } }, "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Preymann-2022-pytamashii/", "__class": "Publication" }, { "id": "rippl-2023-atg", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Automated Typogram Generation from 3D Models: A Computer-Aided Approach", "date": "2023-09", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1992, "preview_image_height": 1654, "name": "rippl-2023-atg-.pdf", "type": "application/pdf", "size": 15456453, "path": "Publication:rippl-2023-atg", "preview_name": "rippl-2023-atg-:preview.jpg", "preview_type": "image/jpeg", "preview_size": 173626, "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rippl-2023-atg/rippl-2023-atg-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rippl-2023-atg/rippl-2023-atg-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5334 ], "date_end": "2023", "date_start": "2023", "matrikelnr": "1183435", "supervisor": [ 1410 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1992, "preview_image_height": 1654, "name": "rippl-2023-atg-.pdf", "type": "application/pdf", "size": 15456453, "path": "Publication:rippl-2023-atg", "preview_name": "rippl-2023-atg-:preview.jpg", "preview_type": "image/jpeg", "preview_size": 173626, "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rippl-2023-atg/rippl-2023-atg-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rippl-2023-atg/rippl-2023-atg-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rippl-2023-atg/", "__class": "Publication" }, { "id": "Schwengerer_Mathias-2022-BGL", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Inverse Method for Baked Lighting", "date": "2023-08-23", "abstract": "In this thesis, we present a novel application of inverse rendering through the use case of estimating light source parameters from baked lighting information bundled with a 3D scene.\nAs input, we use a scene file that contains the geometry and the baked lighting information of a scene.\nThe extracted scene information is then used to estimate a lighting configuration.\nWith the resulting lighting configuration, it is possible to reproduce a closely matched shading of the scene.\n\nBecause of hardware limitations, real-time rendering applications such as video games have historically provided limited realism in terms of lighting.\nBaked lighting was a common method used to illuminate the scene under real-time constraints.\nNowadays, hardware-supported ray tracing enables dynamic lighting and global illumination in real time.\nOur method aims to build a physically based lighting setup that comes as close to the baked lightmaps as possible.\nThis reconstructed lighting setup allows the relighting of the scene through advanced rendering effects such as dynamic lighting, indirect lighting, reflections, refractions, and soft shadows.\nThis could facilitate the process of bringing classic games up to modern standards, especially when the original data is unavailable or lost.\n\nThis project relies on a differentiable rendering framework under development in the Rendering and Modeling Group (Prof. Wimmer, TU Wien).\nThe goal of this bachelor's thesis is to evaluate and demonstrate the capabilities of an inverse rendering method built on this system.\nSpecifically, we aim to estimate light sources from existing precalculated lightmaps used in the game Quake III Arena.\nFor this purpose, our first step is to extract the geometry and lightmaps from a scene file, import the data into the rendering framework, and then implement a suitable optimization scheme to construct new light sources.\nWith these new light sources, we can render the scenes using ray tracing and global illumination to achieve realistic lighting effects, including indirect lighting, accurate reflections, and soft shadows.\n", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1916 ], "date_end": "2023-08-23", "date_start": "2021-12-22", "matrikelnr": "e1527875", "supervisor": [ 193, 1525, 1946 ], "research_areas": [ "Rendering" ], "keywords": [ "lighting", "inverse rendering", "optimization" ], "weblinks": [], "files": [ { "description": "main document", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Schwengerer_Mathias-2022-BGL-Thesis.pdf", "type": "application/pdf", "size": 4753811, "path": "Publication:Schwengerer_Mathias-2022-BGL", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Schwengerer_Mathias-2022-BGL/Schwengerer_Mathias-2022-BGL-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Schwengerer_Mathias-2022-BGL/Schwengerer_Mathias-2022-BGL-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Schwengerer_Mathias-2022-BGL/", "__class": "Publication" }, { "id": "withalm_brigitte-2022-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Transport Mode Detection Segmentation", "date": "2023-08-21", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5230 ], "date_end": "2023-08-18", "date_start": "2022-03-15", "matrikelnr": "01126733", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "modal split", "segmentation", "transport" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 813, "image_height": 326, "name": "withalm_brigitte-2022-baa-image.png", "type": "image/png", "size": 38046, "path": "Publication:withalm_brigitte-2022-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/withalm_brigitte-2022-baa/withalm_brigitte-2022-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/withalm_brigitte-2022-baa/withalm_brigitte-2022-baa-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "withalm_brigitte-2022-baa-thesis.pdf", "type": "application/pdf", "size": 4351326, "path": "Publication:withalm_brigitte-2022-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/withalm_brigitte-2022-baa/withalm_brigitte-2022-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/withalm_brigitte-2022-baa/withalm_brigitte-2022-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/withalm_brigitte-2022-baa/", "__class": "Publication" }, { "id": "irger-2023-ves", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visualizing and Explaining Space Weather Phenomena in Virtual Reality", "date": "2023-08-19", "abstract": "This thesis presents a concept for creating a virtual reality application that educates users about space weather. It provides a summary of space weather research focusing on the\nphenomena and the risks they carry for us. A storyline is created that captures all the key messages. The concept is divided into scenes, containing implementation details for\neach scene. Scene elements are discussed, as to whether they should integrate real data,\nsimulated data, or standard 3D models. How VR plays a role as well as implementation\ndetails are stated. To conclude the concept, a narrated storyboard mockup is discussed.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "cover", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1742, "image_height": 904, "name": "irger-2023-ves-cover.PNG", "type": "image/png", "size": 1558159, "path": "Publication:irger-2023-ves", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/irger-2023-ves/irger-2023-ves-cover.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/irger-2023-ves/irger-2023-ves-cover:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5286 ], "matrikelnr": "11912783", "supervisor": [ 166, 204 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "cover", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1742, "image_height": 904, "name": "irger-2023-ves-cover.PNG", "type": "image/png", "size": 1558159, "path": "Publication:irger-2023-ves", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/irger-2023-ves/irger-2023-ves-cover.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/irger-2023-ves/irger-2023-ves-cover:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "irger-2023-ves-thesis.pdf", "type": "application/pdf", "size": 71640507, "path": "Publication:irger-2023-ves", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/irger-2023-ves/irger-2023-ves-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/irger-2023-ves/irger-2023-ves-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/irger-2023-ves/", "__class": "Publication" }, { "id": "steinschorn-2023-p2m", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Reconstruction for a photogrammetry webservice", "date": "2023-08", "abstract": "Subject of this student project is the reconstruction and evaluation part for a photogrammetry webservice. It consists of Screened Poisson Surface Reconstruction, test scenes and metrics.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Pix2Model Evaluation Example", "filetitle": "pix2model_eval", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1914, "image_height": 775, "name": "steinschorn-2023-p2m-pix2model_eval.png", "type": "image/png", "size": 971490, "path": "Publication:steinschorn-2023-p2m", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/steinschorn-2023-p2m/steinschorn-2023-p2m-pix2model_eval.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/steinschorn-2023-p2m/steinschorn-2023-p2m-pix2model_eval:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1757 ], "date_end": "2023-08", "date_start": "2021-06", "matrikelnr": "1227109", "supervisor": [ 1395 ], "research_areas": [ "Geometry", "Modeling" ], "keywords": [], "weblinks": [ { "href": "https://netidee.cg.tuwien.ac.at/", "caption": "Pix2Model Live-System", "description": null, "main_file": 1 }, { "href": "https://github.com/ErlerPhilipp/Pix2Model", "caption": "Pix2Model Repo", "description": null, "main_file": 1 } ], "files": [ { "description": "Pix2Model Evaluation Example", "filetitle": "pix2model_eval", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1914, "image_height": 775, "name": "steinschorn-2023-p2m-pix2model_eval.png", "type": "image/png", "size": 971490, "path": "Publication:steinschorn-2023-p2m", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/steinschorn-2023-p2m/steinschorn-2023-p2m-pix2model_eval.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/steinschorn-2023-p2m/steinschorn-2023-p2m-pix2model_eval:thumb{{size}}.png" }, { "description": "Pix2Model tech report draft", "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "steinschorn-2023-p2m-report.pdf", "type": "application/pdf", "size": 24898687, "path": "Publication:steinschorn-2023-p2m", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/steinschorn-2023-p2m/steinschorn-2023-p2m-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/steinschorn-2023-p2m/steinschorn-2023-p2m-report:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "d4388" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/steinschorn-2023-p2m/", "__class": "Publication" }, { "id": "voglreiter-2023-tro", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/189596", "title": "Trim Regions for Online Computation of From-Region Potentially Visible Sets", "date": "2023-08", "abstract": "Visibility computation is a key element in computer graphics applications. More specifically, a from-region potentially visible set (PVS) is an established tool in rendering acceleration, but its high computational cost means a from-region PVS is almost always precomputed. Precomputation restricts the use of PVS to static scenes and leads to high storage cost, in particular, if we need fine-grained regions. For dynamic applications, such as streaming content over a variable-bandwidth network, online PVS computation with configurable region size is required. We address this need with trim regions, a new method for generating from-region PVS for arbitrary scenes in real time. Trim regions perform controlled erosion of object silhouettes in image space, implicitly applying the shrinking theorem known from previous work. Our algorithm is the first that applies automatic shrinking to unconstrained 3D scenes, including non-manifold meshes, and does so in real time using an efficient GPU execution model. We demonstrate that our algorithm generates a tight PVS for complex scenes and outperforms previous online methods for from-viewpoint and from-region PVS. It runs at 60 Hz for realistic game scenes consisting of millions of triangles and computes PVS with a tightness matching or surpassing existing approaches.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 302, "image_height": 167, "name": "voglreiter-2023-tro-teaser.jpg", "type": "image/jpeg", "size": 10478, "path": "Publication:voglreiter-2023-tro", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/voglreiter-2023-tro/voglreiter-2023-tro-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/voglreiter-2023-tro/voglreiter-2023-tro-teaser:thumb{{size}}.png" }, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 5298, 1650, 5299, 5300, 5301, 1662, 202 ], "articleno": "85", "doi": "10.1145/3592434", "issn": "1557-7368", "journal": "ACM Transactions on Graphics", "number": "4", "pages": "15", "pages_from": "1", "pages_to": "15", "publisher": "ASSOC COMPUTING MACHINERY", "volume": "42", "research_areas": [], "keywords": [ "potentially visible sets", "real-time", "occlusion" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 302, "image_height": 167, "name": "voglreiter-2023-tro-teaser.jpg", "type": "image/jpeg", "size": 10478, "path": "Publication:voglreiter-2023-tro", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/voglreiter-2023-tro/voglreiter-2023-tro-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/voglreiter-2023-tro/voglreiter-2023-tro-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "d9275", "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/voglreiter-2023-tro/", "__class": "Publication" }, { "id": "rasoulzadeh-2023-ani", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/189820", "title": "A Novel Integrative Design Framework Combining 4D Sketching, Geometry Reconstruction, Micromechanics Material Modelling, and Structural Analysis", "date": "2023-08", "abstract": "State-of-the-art workflows within Architecture, Engineering, and Construction (AEC) are still caught in sequential planning processes. Digital design tools in this domain often lack proper communication between different stages of design and relevant domain knowledge. Furthermore, decisions made in the early stages of design, where sketching is used to initiate, develop, and communicate ideas, heavily impact later stages, resulting in the need for rapid feedback to the architectural designer so they can proceed with adequate knowledge about design implications. Accordingly, this paper presents research on a novel integrative design framework based on a recently developed 4D sketching interface, targeted for architectural design as a form-finding tool coupled with three modules: (1) a Geometric Modelling module, which utilises Points2Surf as a machine learning model for automatic surface mesh reconstruction from the point clouds produced by sketches, (2) a Material Modelling module, which predicts the mechanical properties of biocomposites based on multiscale micromechanics homogenisation techniques, and (3) a Structural Analysis module, which assesses the mechanical performance of the meshed structure on the basis of the predicted material properties using finite element simulations. The proposed framework is a step towards using material-informed design already in the early stages of design.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5233, 5303, 5304, 1874, 1799, 5209, 193 ], "articleno": "102074", "doi": "10.1016/j.aei.2023.102074", "issn": "1873-5320", "journal": "Advanced Engineering Informatics", "publisher": "ELSEVIER SCI LTD", "volume": "57", "research_areas": [], "keywords": [ "3D reconstruction", "Biocomposite", "Early-design stage", "Finite element analysis", "Machine learning", "Material-informed", "Micromechanics", "Multiscale modelling", "Sketch-based interface", "Sketch-based modelling", "Structural analysis" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rasoulzadeh-2023-ani/", "__class": "Publication" }, { "id": "groeller-2023-siv-2", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/194028", "title": "Scalable Interactive Visual Analysis", "date": "2023-07-22", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2023-07-21", "date_to": "2023-07-24", "event": "ChinaVis 2023 - 10th China Visualization and Visual Analytics Conference", "lecturer": [ 166 ], "location": "Chongqing", "research_areas": [], "keywords": [ "Visualization" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/groeller-2023-siv-2/", "__class": "Publication" }, { "id": "groeller-2023-ivd", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/193534", "title": "Interactive Visual Data Analysis'How to do a Successful PhD (in Visual Computing)'", "date": "2023-07-18", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2023-07-10", "date_to": "2023-07-19", "event": "14th PKU International Visualization Summer School 2023", "lecturer": [ 166 ], "location": "Peking", "research_areas": [], "keywords": [ "Computer Graphics" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/groeller-2023-ivd/", "__class": "Publication" }, { "id": "Liang-2023-TVR", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Smooth textured surface reconstruction from point cloud rendered images as well as path traced images using variational methods", "date": "2023-07-16", "abstract": "In this work, we propose total variation-based methods for smoothing textured surfaces in point-based rendering and reducing noise in Monte Carlo-rendered images. Initially, we survey the challenges and existing state-of-the-art methodologies in these two research domains. Subsequently, we delve into the details of our proposed total variational models, each aimed at smoothing point-rendered textured surfaces and reducing noise in Monte Carlo-rendered images, respectively. For smoothing textured surfaces in point-based rendering, our model incorporates geometric features and is then combined with an advanced Pull-Push method. This combined approach enables us to effectively fill gaps and smooth\ndiscontinuous surfaces. The models tailored for denoising Monte Carlo-rendered images leverage noise-free auxiliary features and noise estimation techniques. Our approach efficiently eliminates noise while preserving crucial image features. We conduct comprehensive comparison experiments against existing state-of-the-art techniques to evaluate the effectiveness of our methods. Although our implementations are currently offline, both the smoothing and denoising processes can be achieved within a few iterations. Given the\nsimplicity of our approach’s implementation, we foresee the potential for a GPU-based implementation, paving the way towards real-time applications.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1080, "image_height": 1080, "name": "Liang-2023-TVR-image.png", "type": "image/png", "size": 1233953, "path": "Publication:Liang-2023-TVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Liang-2023-TVR/Liang-2023-TVR-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Liang-2023-TVR/Liang-2023-TVR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5241 ], "date_end": "2023-07-16", "date_start": "2023-01-16", "diploma_examina": "2023-07-28", "matrikelnr": "03737290", "supervisor": [ 1954, 193, 5283, 5284, 1028 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1080, "image_height": 1080, "name": "Liang-2023-TVR-image.png", "type": "image/png", "size": 1233953, "path": "Publication:Liang-2023-TVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Liang-2023-TVR/Liang-2023-TVR-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Liang-2023-TVR/Liang-2023-TVR-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Liang-2023-TVR-Thesis.pdf", "type": "application/pdf", "size": 81497908, "path": "Publication:Liang-2023-TVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Liang-2023-TVR/Liang-2023-TVR-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Liang-2023-TVR/Liang-2023-TVR-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Liang-2023-TVR/", "__class": "Publication" }, { "id": "shakhova-2023-atp", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Authoring Tool Prototype for Dashboard Onboarding Generation", "date": "2023-07-10", "abstract": "Data visualization is an effective way to gain insights into various problems and improve\nthe data-driven decision-making process, however it can often be complex and overwhelming.\nTo enhance the interpretation and understanding of data, a proper onboarding\nprocess is required. Onboarding provides clarity on the visualization scope and purpose\nfor users with different levels of expertise. The development of the onboarding process is\nfacilitated with a suitable authoring tool. Though utilizing authoring tools, especially by\ncreators with deficient visual design skills, can be quite challenging.\nIn this thesis, we introduce an interface design for the authoring tool within the scope\nof the dashboard onboarding process. We are focusing on the constrained non-linear\nnarrative and applying the approach of a branching story graph that is implemented\nas a node editor. The provided interface can be extended to develop more profound\nstorytelling strategies and aim to create a more complex and highly interactive onboarding\nprocess.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5285 ], "matrikelnr": "01327973", "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "shakhova-2023-atp-Thesis.pdf", "type": "application/pdf", "size": 1558866, "path": "Publication:shakhova-2023-atp", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/shakhova-2023-atp/shakhova-2023-atp-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/shakhova-2023-atp/shakhova-2023-atp-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/shakhova-2023-atp/", "__class": "Publication" }, { "id": "wiesinger_klemens-2023-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Using a Drone for Automated 3D Scanning", "date": "2023-07-04", "abstract": "Tasks für BA:\n- get drone to fly and transmit from raspi to server\n- transmit best coordinates (relative vector, relative angles) from output of guided scanning infinitam plugin to drone\n- evaluate with manual control with a user study on how fast and complete an interior room can be scanned", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 480, "image_height": 313, "name": "wiesinger_klemens-2023-baa-image.png", "type": "image/png", "size": 233669, "path": "Publication:wiesinger_klemens-2023-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger_klemens-2023-baa/wiesinger_klemens-2023-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger_klemens-2023-baa/wiesinger_klemens-2023-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5296 ], "date_end": "2025-03-28", "date_start": "2023-07-04", "matrikelnr": "011938253", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "drone flying", "client-server", "3d scanning" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 480, "image_height": 313, "name": "wiesinger_klemens-2023-baa-image.png", "type": "image/png", "size": 233669, "path": "Publication:wiesinger_klemens-2023-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger_klemens-2023-baa/wiesinger_klemens-2023-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger_klemens-2023-baa/wiesinger_klemens-2023-baa-image:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger_klemens-2023-baa/", "__class": "Publication" }, { "id": "herzberger-2023-swv", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/188243", "title": "Scalable Web-based Volume Rendering for Large-scale Biomedical Data Sets", "date": "2023-07", "abstract": "Recent advances in imaging modalities produce large-scale volumetric data sets with a large number of channels. Interactive visualization of such data sets requires out-of-core direct volume rendering (DVR) methods such as octrees or page-table hierarchies. For this reason, data sets are both down-sampled into a multi-resolution hierarchy and divided into smaller bricks, in order to stream only those parts of the volume contributing to the rendered image to the GPU. Furthermore, rendering multiple channels requires careful optimization because the high computational cost of DVR grows with the number of channels to render. A common optimization in DVR is empty-space skipping where fully translucent regions in the volume are not sampled to reduce the number of loop iterations and texture look-ups during rendering. Previous out-of-core DVR methods are designed for single-channel volumes and are only suitable for multi-channel volumes to a limited extent. In octree-based methods, accessing cached volume data requires traversing the tree for each sample and channel. Furthermore, in previous approaches, the spatial subdivision of the octree is intrinsically coupled to the down-sampling ratio and bricking granularity in the data set. This leads to suboptimal cache utilization and makes fine-grained empty-space skipping costly. Page-table hierarchies, on the other hand, allow access to any cached brick from any resolution without traversing a tree structure. However, their support for empty-space skipping is also tied to the bricking granularity in the data set and is thus limited. We present a hybrid multi-volume rendering approach based on a novel Residency Octree that combines the advantages of out-of-core volume rendering using page tables with those of standard octrees. We enable flexible mixed-resolution out-of-core multi- volume rendering by decoupling the cache residency of multi-resolution data from a resolution-independent spatial subdivision determined by the tree. Instead of one-to-one node-to-brick correspondences, each residency octree node is mapped to a set of bricks in each resolution level. This makes it possible to efficiently and adaptively choose and mix resolutions, adapt sampling rates, and compensate for cache misses. At the same time, residency octrees support fine-grained empty-space skipping, independent of the data subdivision used for caching. Finally, to facilitate collaboration and outreach, and to eliminate local data storage, our implementation is a web-based, pure client-side renderer using WebGPU and WebAssembly. Our method is faster than prior approaches and efficient for many data channels with a flexible and adaptive choice of data resolution.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Figure 1.1: Overview of our method. Volume bricks of different resolution levels and channels are streamed into a\nbrick cache (a), and referenced via a multi-channel page-table hierarchy (b). The residency octree (c) keeps track of the\ncorrespondence between spatial regions and the cache residency of bricks of different resolutions, enabling mixed-resolution,\nmulti-channel rendering (d) with efficient, adaptive substitution of missing higher resolutions by available lower resolutions.\nTraversal happens for spatial regions corresponding to octree nodes instead of memory pages and is also independent of the\nnumber of channels. (e) 16-channel rendering of melanoma.", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3174, "image_height": 1167, "name": "herzberger-2023-swv-teaser.png", "type": "image/png", "size": 930066, "path": "Publication:herzberger-2023-swv", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/herzberger-2023-swv/herzberger-2023-swv-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/herzberger-2023-swv/herzberger-2023-swv-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date,projects,co_supervisor", "repositum_presentation_id": null, "authors": [ 1857 ], "co_supervisor": [ 818 ], "date_end": "2023-07", "date_start": "2022-10", "diploma_examina": "2023-09-27", "doi": "10.34726/hss.2023.106203", "matrikelnr": "01006039", "open_access": "yes", "pages": "99", "supervisor": [ 166 ], "research_areas": [], "keywords": [ "volume rendering", "ray-guided rendering", "large-scale data", "out-of-core rendering", "multi-resolution data", "multi-channel volumes", "web-based visualization" ], "weblinks": [], "files": [ { "description": "Figure 1.1: Overview of our method. Volume bricks of different resolution levels and channels are streamed into a\nbrick cache (a), and referenced via a multi-channel page-table hierarchy (b). The residency octree (c) keeps track of the\ncorrespondence between spatial regions and the cache residency of bricks of different resolutions, enabling mixed-resolution,\nmulti-channel rendering (d) with efficient, adaptive substitution of missing higher resolutions by available lower resolutions.\nTraversal happens for spatial regions corresponding to octree nodes instead of memory pages and is also independent of the\nnumber of channels. (e) 16-channel rendering of melanoma.", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3174, "image_height": 1167, "name": "herzberger-2023-swv-teaser.png", "type": "image/png", "size": 930066, "path": "Publication:herzberger-2023-swv", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/herzberger-2023-swv/herzberger-2023-swv-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/herzberger-2023-swv/herzberger-2023-swv-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "herzberger-2023-swv-thesis.pdf", "type": "application/pdf", "size": 2202768, "path": "Publication:herzberger-2023-swv", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/herzberger-2023-swv/herzberger-2023-swv-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/herzberger-2023-swv/herzberger-2023-swv-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/herzberger-2023-swv/", "__class": "Publication" }, { "id": "kovacs-2023-ttm", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/190592", "title": "The theatre metaphor for spatial computing in architectural design", "date": "2023-06-20", "abstract": "New digital technologies require new conceptual approaches to help potential users understand existing\nand envision new use cases and applications. Moving from desktop computing to spatial computing\n(virtual, augmented, mixed and extended reality environments) also requires the introduction of new\nmetaphors. New interaction and visualisation possibilities afforded by current devices are causing virtual\nand real worlds to merge into an inseparable unity of reality and imagination.\nThere are many similarities between theatre and AEC workflows. However, the theatre process is scaled\ndown in terms of space, time, and budget, and is therefore better suited to explore innovative and\nexperimental methods. In order to conceptualise the role of a novel spatial computing drawing tool\n(MR.Sketch) in existing AEC processes, we propose the theatre metaphor, which embeds the\nconceptual foundations of the tool in a collaborative design workflow based on the cooperation of\ndifferent domain experts.\nThe metaphor proposal includes the analysis of the following theatre concepts: integrative collaboration\nwith specialists, stage infrastructure, workshops for different tools and manufacturing methods, stocks\nand the immersive experience of space and time in different scales. We illustrate the capabilities of the\ntheatre metaphor to cover the entire creation and performance process of architectural design in an\nexperimental mixed reality sketching application. The implementation of an early prototype of the\nsketching application was used to evaluate the applicability of the theatre metaphor to spatial computing.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 337, "image_height": 220, "name": "kovacs-2023-ttm-image.jpg", "type": "image/jpeg", "size": 7460, "path": "Publication:kovacs-2023-ttm", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/kovacs-2023-ttm-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/kovacs-2023-ttm-image:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1487, 5315, 5316, 1525, 193, 240 ], "booktitle": "Proceedings of the Creative Construction Conference 2023", "date_from": "2023-06-20", "date_to": "2023-06-23", "doi": "10.3311/CCC2023-087", "editor": "Skibniewski, Miroslaw and Hajdu, Miklós", "event": "Creative Construction Conference 2023", "isbn": "978-615-5270-79-6", "lecturer": [ 1487 ], "location": "Keszthely", "open_access": "yes", "pages": "10", "pages_from": "674", "pages_to": "683", "publisher": "Budapest University of Technology and Economics", "research_areas": [], "keywords": [ "Computing", "architectural design" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 337, "image_height": 220, "name": "kovacs-2023-ttm-image.jpg", "type": "image/jpeg", "size": 7460, "path": "Publication:kovacs-2023-ttm", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/kovacs-2023-ttm-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/kovacs-2023-ttm-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kovacs-2023-ttm-paper.pdf", "type": "application/pdf", "size": 1250121, "path": "Publication:kovacs-2023-ttm", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/kovacs-2023-ttm-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/kovacs-2023-ttm-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/", "__class": "Publication" }, { "id": "eschner-2023-rar", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/177341", "title": "Real-Time Avalanche Risk Visualization on a Large-Scale Geospatial Dataset", "date": "2023-06-07", "abstract": "Every winter season reports of fatal avalanche accidents in the Alps are part of the news cycle. Data for tour planning with avalanche risk evaluation is available to recreationists in the form of daily avalanche reports and outdoor maps. These data are, however, distributed across different sources and have to be manually integrated by the end user to arrive at a risk value for a given tour. Risk reduction methods provide a framework for this integration process and thereby allow mountaineers to judge the overall risk and determine potential high-risk areas beforehand. We present an integrated risk visualization tool to support risk-averse tour planning for backcountry skiing. Based on a high-resolution Digital Elevation Model (DEM), our visualization displays avalanche risk levels in real-time as a web-based 2.5D map application. Different static and dynamic avalanche risk layers are rendered on the Graphics Processing Unit (GPU) covering the alpine regions of Austria. By implementing a prototype application, we show that reduction methods can be evaluated in real-time based on existing data sources consisting of a Digital Elevation Model (DEM) and the per-region avalanche report for Austria. This evaluation allows us to visualize localized avalanche risk for a large area. To evaluate our prototype visualization, we conducted a pilot user study. The results of the study show that users have low trust in an integrated risk visualization when they are not familiar with the underlying risk reduction method. However, results also indicate that the combination of a 2.5D map with our integrated risk layer facilitates the identification of potential high-risk areas. We conclude that our work provides a foundation for an integrated risk avalanche risk visualization, however, further validation steps are still necessary.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2560, "image_height": 1440, "name": "eschner-2023-rar-.png", "type": "image/png", "size": 6882194, "path": "Publication:eschner-2023-rar", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-rar/eschner-2023-rar-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-rar/eschner-2023-rar-:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1653 ], "co_supervisor": [ 1013 ], "date_end": "2023-05", "date_start": "2022-05", "diploma_examina": "2023-06-07", "doi": "10.34726/hss.2023.102961", "matrikelnr": "01633402", "open_access": "yes", "pages": "114", "supervisor": [ 1110 ], "research_areas": [], "keywords": [ "risk visualization", "real-time visualization", "avalanche risk", "terrain visualization", "2.5D mapping" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2560, "image_height": 1440, "name": "eschner-2023-rar-.png", "type": "image/png", "size": 6882194, "path": "Publication:eschner-2023-rar", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-rar/eschner-2023-rar-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-rar/eschner-2023-rar-:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eschner-2023-rar-thesis.pdf", "type": "application/pdf", "size": 15260006, "path": "Publication:eschner-2023-rar", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-rar/eschner-2023-rar-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-rar/eschner-2023-rar-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-rar/", "__class": "Publication" }, { "id": "pistellato-2023-elp", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/177652", "title": "Exploiting Light Polarization for Deep HDR Imaging from a Single Exposure", "date": "2023-06-02", "abstract": "In computational photography, high dynamic range (HDR) imaging refers to the family of techniques used to recover a wider range of intensity values compared to the limited range provided by standard sensors. Classical techniques consist of acquiring a scene-varying exposure to compensate for saturated and underexposed regions, followed by a non-linear compression of intensity values called tone mapping. Recently, there has been a growing interest in estimating HDR images from a single exposure. Some methods exploit data-driven models trained to estimate values outside the camera’s visible intensity levels. Others make use of polarimetric cameras to reconstruct HDR information without exposure bracketing. In this paper, we present a novel HDR reconstruction method that employs a single PFA (polarimetric filter array) camera with an additional external polarizer to increase the scene’s dynamic range across the acquired channels and to mimic different exposures. Our contribution consists of a pipeline that effectively combines standard HDR algorithms based on bracketing and data-driven solutions designed to work with polarimetric images. In this regard, we present a novel CNN (convolutional neural network) model that exploits the underlying mosaiced pattern of the PFA in combination with the external polarizer to estimate the original scene properties, and a second model designed to further improve the final tone mapping step. The combination of such techniques enables us to take advantage of the light attenuation given by the filters while producing an accurate reconstruction. We present an extensive experimental section in which we validate the proposed method on both synthetic and real-world datasets specifically acquired for the task. Quantitative and qualitative results show the effectiveness of the approach when compared to state-of-the-art methods. In particular, our technique exhibits a PSNR (peak signal-to-noise ratio) on the whole test set equal to 23 dB, which is 18% better with respect to the second-best alternative.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1224, "image_height": 1024, "name": "pistellato-2023-elp-image.jpg", "type": "image/jpeg", "size": 84884, "path": "Publication:pistellato-2023-elp", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/pistellato-2023-elp/pistellato-2023-elp-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/pistellato-2023-elp/pistellato-2023-elp-image:thumb{{size}}.png" }, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 5277, 5278, 193 ], "articleno": "5370", "doi": "10.3390/s23125370", "issn": "1424-8220", "journal": "Sensors", "number": "12", "open_access": "yes", "pages": "23", "publisher": "MDPI", "volume": "23", "research_areas": [ "Rendering" ], "keywords": [ "PFA camera", "deep learning", "high dynamic range imaging", "polarimetric imaging" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1224, "image_height": 1024, "name": "pistellato-2023-elp-image.jpg", "type": "image/jpeg", "size": 84884, "path": "Publication:pistellato-2023-elp", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/pistellato-2023-elp/pistellato-2023-elp-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/pistellato-2023-elp/pistellato-2023-elp-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "pistellato-2023-elp-paper.pdf", "type": "application/pdf", "size": 32651175, "path": "Publication:pistellato-2023-elp", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/pistellato-2023-elp/pistellato-2023-elp-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/pistellato-2023-elp/pistellato-2023-elp-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/pistellato-2023-elp/", "__class": "Publication" }, { "id": "arbesser_ba_2023", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visualizing the Flow of Healthcare Data", "date": "2023-06", "abstract": "The flow of medical data in a modern and interconnected society between large numbers\nof stakeholders and institutions forms an intricate network. Due to size and complexity,\nthis network is hard to traverse for anyone wishing to gain insight into where their\nmedical data ends up. Visualisation can be used as a powerful tool, in order to make this\nflow of data more accessible and easier to understand for experts and everyday people,\nincreasing transparency and readability. This work aims to explore ways to visualise\nparts of this network and provide a framework that visualises the connections between\nthe different stakeholders in it and the data they exchange. The implementation will\nbe done as a web application which provides interactivity to improve user experience.\nThis interactivity will implement the visual information-seeking mantra, by giving an\noverview first and allowing zooming, filtering and showing details on demand. Whether\nthe set requirements were met will be determined by gathering feedback from expert\nusers about their experience in using the application.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1229, "image_height": 412, "name": "arbesser_ba_2023-teaser.png", "type": "image/png", "size": 133874, "path": "Publication:arbesser_ba_2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/arbesser_ba_2023/arbesser_ba_2023-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/arbesser_ba_2023/arbesser_ba_2023-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5279 ], "date_end": "2023-06", "date_start": "2022-11", "matrikelnr": "01625725", "supervisor": [ 1110 ], "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1229, "image_height": 412, "name": "arbesser_ba_2023-teaser.png", "type": "image/png", "size": 133874, "path": "Publication:arbesser_ba_2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/arbesser_ba_2023/arbesser_ba_2023-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/arbesser_ba_2023/arbesser_ba_2023-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "arbesser_ba_2023-thesis.pdf", "type": "application/pdf", "size": 2885571, "path": "Publication:arbesser_ba_2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/arbesser_ba_2023/arbesser_ba_2023-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/arbesser_ba_2023/arbesser_ba_2023-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/arbesser_ba_2023/", "__class": "Publication" }, { "id": "eschner-2023-ims", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/187705", "title": "Illustrative Motion Smoothing for Attention Guidance in Dynamic Visualizations", "date": "2023-06", "abstract": "3D animations are an effective method to learn about complex dynamic phenomena, such as mesoscale biological processes. The animators’ goals are to convey a sense of the scene’s overall complexity while, at the same time, visually guiding the user through a story of subsequent events embedded in the chaotic environment. Animators use a variety of visual emphasis techniques to guide the observers’ attention through the story, such as highlighting, halos – or by manipulating motion parameters of the scene. In this paper, we investigate the effect of smoothing the motion of contextual scene elements to attract attention to focus elements of the story exhibiting high-frequency motion. We conducted a crowdsourced study with 108 participants observing short animations with two illustrative motion smoothing strategies: geometric smoothing through noise reduction of contextual motion trajectories and visual smoothing through motion blur of context items. We investigated the observers’ ability to follow the story as well as the effect of the techniques on speed perception in a molecular scene. Our results show that moderate motion blur significantly improves users’ ability to follow the story. Geometric motion smoothing is less effective but increases the visual appeal of the animation. However, both techniques also slow down the perceived speed of the animation. We discuss the implications of these results and derive design guidelines for animators of complex dynamic visualizations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1400, "image_height": 1080, "name": "eschner-2023-ims-teaser.png", "type": "image/png", "size": 1527403, "path": "Publication:eschner-2023-ims", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-teaser:thumb{{size}}.png" }, "sync_repositum_override": "event,lecturer,location,projects", "repositum_presentation_id": null, "authors": [ 1653, 935, 1110 ], "doi": "10.1111/cgf.14836", "event": "EuroVis 2023", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1653 ], "location": "Leipzig, Germany", "number": "3", "open_access": "yes", "pages": "12", "pages_from": "361", "pages_to": "372", "publisher": "WILEY", "volume": "42", "research_areas": [ "BioVis", "IllVis", "Perception" ], "keywords": [ "Empirical studies in visualization", "Animation" ], "weblinks": [ { "href": "https://onlinelibrary.wiley.com/doi/10.1111/cgf.14836", "caption": "Computer Graphics Forum", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eschner-2023-ims-paper.pdf", "type": "application/pdf", "size": 9072344, "path": "Publication:eschner-2023-ims", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1400, "image_height": 1080, "name": "eschner-2023-ims-teaser.png", "type": "image/png", "size": 1527403, "path": "Publication:eschner-2023-ims", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eschner-2023-ims-video.mp4", "type": "video/mp4", "size": 16270968, "path": "Publication:eschner-2023-ims", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/", "__class": "Publication" }, { "id": "webGPU_aggregateVis-2023", "type_id": "poster", "tu_id": null, "repositum_id": "20.500.12708/187891", "title": "WebGPU for Scalable Client-Side Aggregate Visualization", "date": "2023-06", "abstract": "WebGPU is a new graphics API, which now provides compute shaders for general purpose GPU operations in web browsers. We demonstrate the potential of this new technology for scalable information visualization by showing how to filter and aggregate a spatio-temporal dataset with millions of temperature measurements for real-time interactive exploration of climate change.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1460, "image_height": 820, "name": "webGPU_aggregateVis-2023-teaser.png", "type": "image/png", "size": 1143735, "path": "Publication:webGPU_aggregateVis-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/webGPU_aggregateVis-2023/webGPU_aggregateVis-2023-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/webGPU_aggregateVis-2023/webGPU_aggregateVis-2023-teaser:thumb{{size}}.png" }, "sync_repositum_override": "abstract,date", "repositum_presentation_id": null, "authors": [ 1869, 5238, 1110 ], "booktitle": "EuroVis 2023 - Posters", "date_from": "2023-06-12", "date_to": "2023-06-16", "doi": "10.2312/evp.20231079", "event": "25th EG Conference on Visualization (EuroVis 2023)", "isbn": "978-3-03868-220-2", "lecturer": [ 1110 ], "location": "Leipzig", "pages": "3", "pages_from": "105", "pages_to": "107", "publisher": "Eurographics", "research_areas": [ "InfoVis" ], "keywords": [ "Information visualization", "Aggregate visualization", "Scalable visualization", "WebGPU" ], "weblinks": [ { "href": "https://diglib.eg.org/xmlui/handle/10.2312/evp20231079", "caption": "Eurographics Digital Library", "description": null, "main_file": 0 }, { "href": "https://ccexplorer.github.io/", "caption": "Climate Change Explorer", "description": "online demo", "main_file": 1 }, { "href": "https://cde.gkdev.at/cde/?db=cdata_interp_2bit_0.lzma", "caption": "large demo", "description": "Demo with more data points", "main_file": 0 } ], "files": [ { "description": null, "filetitle": "extended abstract", "main_file": true, "use_in_gallery": false, "access": "public", "name": "webGPU_aggregateVis-2023-extended abstract.pdf", "type": "application/pdf", "size": 1466660, "path": "Publication:webGPU_aggregateVis-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/webGPU_aggregateVis-2023/webGPU_aggregateVis-2023-extended abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/webGPU_aggregateVis-2023/webGPU_aggregateVis-2023-extended abstract:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "webGPU_aggregateVis-2023-poster.pdf", "type": "application/pdf", "size": 1114759, "path": "Publication:webGPU_aggregateVis-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/webGPU_aggregateVis-2023/webGPU_aggregateVis-2023-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/webGPU_aggregateVis-2023/webGPU_aggregateVis-2023-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1460, "image_height": 820, "name": "webGPU_aggregateVis-2023-teaser.png", "type": "image/png", "size": 1143735, "path": "Publication:webGPU_aggregateVis-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/webGPU_aggregateVis-2023/webGPU_aggregateVis-2023-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/webGPU_aggregateVis-2023/webGPU_aggregateVis-2023-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "d9282" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/webGPU_aggregateVis-2023/", "__class": "Publication" }, { "id": "indirectBiasLanguageModels-2023", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/187890", "title": "Visual Exploration of Indirect Bias in Language Models", "date": "2023-06", "abstract": "Language models are trained on large text corpora that often include stereotypes. This can lead to direct or indirect bias in downstream applications. In this work, we present a method for interactive visual exploration of indirect multiclass bias learned by contextual word embeddings. We introduce a new indirect bias quantification score and present two interactive visualizations to explore interactions between multiple non-sensitive concepts (such as sports, occupations, and beverages) and sensitive attributes (such as gender or year of birth) based on this score.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1904, "image_height": 619, "name": "indirectBiasLanguageModels-2023-teaser.png", "type": "image/png", "size": 81826, "path": "Publication:indirectBiasLanguageModels-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date,location,keywords", "repositum_presentation_id": null, "authors": [ 5211, 1110 ], "booktitle": "EuroVis 2023 - Short Papers", "date_from": "2023-06-12", "date_to": "2023-06-16", "doi": "10.2312/evs.20231034", "event": "25th EG Conference on Visualization (EuroVis 2023)", "isbn": "978-3-03868-219-6", "lecturer": [ 1110 ], "location": "Leipzig, Germany", "open_access": "yes", "pages": "5", "publisher": "The Eurographics Association", "research_areas": [ "InfoVis" ], "keywords": [ "visual analytics", "language models", "bias" ], "weblinks": [ { "href": "https://diglib.eg.org/handle/10.2312/evs20231034", "caption": "Eurographics Digital Library", "description": null, "main_file": 0 }, { "href": "https://www.cg.tuwien.ac.at/IndirectBiasVis", "caption": "online demo", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "indirectBiasLanguageModels-2023-paper.pdf", "type": "application/pdf", "size": 465161, "path": "Publication:indirectBiasLanguageModels-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "supplement", "main_file": false, "use_in_gallery": false, "access": "public", "name": "indirectBiasLanguageModels-2023-supplement.pdf", "type": "application/pdf", "size": 124948, "path": "Publication:indirectBiasLanguageModels-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-supplement.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-supplement:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1904, "image_height": 619, "name": "indirectBiasLanguageModels-2023-teaser.png", "type": "image/png", "size": 81826, "path": "Publication:indirectBiasLanguageModels-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "indirectBiasLanguageModels-2023-video.mp4", "type": "video/mp4", "size": 51440954, "path": "Publication:indirectBiasLanguageModels-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-video:video.mp4" } ], "projects_workgroups": [ "d9282" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/", "__class": "Publication" }, { "id": "SCHUETZ-2023-LOD", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/191989", "title": "GPU‐Accelerated LOD Generation for Point Clouds", "date": "2023-06", "abstract": "About:\nWe introduce a GPU-accelerated LOD construction process that creates a hybrid voxel-point-based variation of the widely used layered point cloud (LPC) structure for LOD rendering and streaming. The massive performance improvements provided by the GPU allow us to improve the quality of lower LODs via color filtering while still increasing construction speed compared to the non-filtered, CPU-based state of the art.\n\n\nBackground: \nLOD structures are required to render hundreds of millions to trillions of points, but constructing them takes time.\n\n\nResults: \nLOD structures suitable for rendering and streaming are constructed at rates of about 1 billion points per second (with color filtering) to 4 billion points per second (sample-picking/random sampling, state of the art) on an RTX 3090 -- an improvement of a factor of 80 to 400 times over the CPU-based state of the art (12 million points per second). Due to being in-core, model sizes are limited to about 500 million points per 24GB memory.\n\n\nDiscussion: \nOur method currently focuses on maximizing in-core construction speed on the GPU. Issues such as out-of-core construction of arbitrarily large data sets are not addressed, but we expect it to be suitable as a component of bottom-up out-of-core LOD construction schemes.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Teaser Figure. ", "filetitle": "CudaLOD", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1442, "image_height": 884, "name": "SCHUETZ-2023-LOD-CudaLOD.jpg", "type": "image/jpeg", "size": 226119, "path": "Publication:SCHUETZ-2023-LOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/SCHUETZ-2023-LOD/SCHUETZ-2023-LOD-CudaLOD.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/SCHUETZ-2023-LOD/SCHUETZ-2023-LOD-CudaLOD:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1116, 1650, 1802, 193 ], "articleno": "e14877", "date_from": "2023", "date_to": "2023", "doi": "10.1111/cgf.14877", "event": "High Performance Graphics", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1116 ], "location": "Delft", "number": "8", "open_access": "yes", "pages": "12", "pages_from": "1", "pages_to": "12", "publisher": "WILEY", "volume": "42", "research_areas": [ "Rendering" ], "keywords": [ "point cloud rendering", "level of detail", "LOD" ], "weblinks": [ { "href": "https://github.com/m-schuetz/CudaLOD", "caption": "Source Code", "description": null, "main_file": 0 } ], "files": [ { "description": "Teaser Figure. ", "filetitle": "CudaLOD", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1442, "image_height": 884, "name": "SCHUETZ-2023-LOD-CudaLOD.jpg", "type": "image/jpeg", "size": 226119, "path": "Publication:SCHUETZ-2023-LOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/SCHUETZ-2023-LOD/SCHUETZ-2023-LOD-CudaLOD.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/SCHUETZ-2023-LOD/SCHUETZ-2023-LOD-CudaLOD:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "SCHUETZ-2023-LOD-paper.pdf", "type": "application/pdf", "size": 12634836, "path": "Publication:SCHUETZ-2023-LOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/SCHUETZ-2023-LOD/SCHUETZ-2023-LOD-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/SCHUETZ-2023-LOD/SCHUETZ-2023-LOD-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4386" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/SCHUETZ-2023-LOD/", "__class": "Publication" }, { "id": "marin-2023-pic", "type_id": "poster", "tu_id": null, "repositum_id": "20.500.12708/193751", "title": "Parameter-Free and Improved Connectivity for Point Clouds", "date": "2023-05-03", "abstract": "Determining connectivity in unstructured point clouds is a long-standing problem that is still not addressed satisfactorily. In this poster, we propose an extension to the proximity graph introduced in [MOW22] to three-dimensional models. We use the spheres-of-influence (SIG) proximity graph restricted to the 3D Delaunay graph to compute connectivity between points. Our approach shows a better encoding of the connectivity in relation to the ground truth than the k-nearest neighborhood (kNN) for a wide range of k values, and additionally, it is parameter-free. Our result for this fundamental task offers potential for many applications relying on kNN, e.g., improvements in normal estimation, surface reconstruction, motion planning, simulations, and many more.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "hidden", "image_width": 455, "image_height": 200, "name": "marin-2023-pic-image.png", "type": "image/png", "size": 20480, "path": "Publication:marin-2023-pic", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/marin-2023-pic/marin-2023-pic-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/marin-2023-pic/marin-2023-pic-image:thumb{{size}}.png" }, "sync_repositum_override": "booktitle", "repositum_presentation_id": null, "authors": [ 1848, 948, 193 ], "booktitle": "Eurographics 2023 - Posters", "cfp": { "name": "Screenshot from 2024-02-20 17-30-41.png", "type": "image/png", "error": 0, "size": 212121, "orig_name": "Screenshot from 2024-02-20 17-30-41.png", "ext": "png" }, "date_from": "2023-05-08", "date_to": "2023-05-12", "doi": "10.2312/egp.20231023", "editor": "Singh, Gurprit and Chu, Mengyu", "event": "Eurographics 2023", "isbn": "978-3-03868-211-0", "lecturer": [ 1848 ], "location": "Saarbrücken", "open_access": "yes", "pages": "2", "pages_from": "5", "pages_to": "6", "publisher": "Eurographics", "research_areas": [ "Geometry" ], "keywords": [ "Computing methodologies", "Point based models" ], "weblinks": [], "files": { "1": { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "marin-2023-pic-paper.pdf", "type": "application/pdf", "size": 518325, "path": "Publication:marin-2023-pic", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/marin-2023-pic/marin-2023-pic-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/marin-2023-pic/marin-2023-pic-paper:thumb{{size}}.png" } }, "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/marin-2023-pic/", "__class": "Publication" }, { "id": "jafari-2023-avk", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Improvements and Additional Features for a Modern C++/Vulkan Rendering Framework", "date": "2023-05", "abstract": "

Updater:
\nFor the Auto-Vk-Toolkit framework it was deemed to be desirable to add the quality of life features of automatic resource updates after changes. For example, changing resources such as resizing swapchain images (due to changing the window size, for example), or changing the shader files that are graphics pipelines are comprised of shall trigger recreation of all the dependent resources. As a consequence, all the graphics pipelines must be updated too.\n\nSeveral adaptions were needed to enable these automatic updates. Window and swapchain handling code had to be updated, and swap chain creation code had to be adapted. Finally, a component avk::updater was implemented which enables triggering updating dependent resources after various events: swapchain/window resized, swapchain changed, swapchain's images' format changed, additional swapchain attachments changed, files changed. Based on these events, automatic swap chain recreation and shader hot reloading is enabled.\n\n

Evaluating support for C++ Modules:
\nModules are a relatively new C++ feature, which was introduced with C++20. They promise to be able to provide better code encapsulation and lower build times. Their suitability for Auto-Vk-Toolkit was evaluated and the experiences were documented.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 128, "image_height": 128, "name": "jafari-2023-avk-image.webp", "type": "image/webp", "size": 4248, "path": "Publication:jafari-2023-avk", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/jafari-2023-avk/jafari-2023-avk-image.webp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/jafari-2023-avk/jafari-2023-avk-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1773 ], "date_end": "2023-05", "date_start": "2020-07", "matrikelnr": "09826767", "supervisor": [ 848, 193 ], "research_areas": [], "keywords": [ "Vulkan", "C++", "Real-Time Rendering", "C++20", "Modules", "C++ Modules", "Vulkan", "Auto-Vk", "Auto-Vk-Toolkit", "Shader Hot Reloading" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/Auto-Vk", "caption": "Auto-Vk on GitHub", "description": null, "main_file": 1 }, { "href": "https://github.com/cg-tuwien/Auto-Vk-Toolkit", "caption": "Auto-Vk-Toolkit on GitHub", "description": null, "main_file": 1 }, { "href": "https://github.com/cg-tuwien/Auto-Vk-Toolkit/blob/master/docs/updater.md", "caption": "Automatic Resource-Updates", "description": "Documentation of the updater component, which enables swap chain recreation and shader hot reloading.", "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 128, "image_height": 128, "name": "jafari-2023-avk-image.webp", "type": "image/webp", "size": 4248, "path": "Publication:jafari-2023-avk", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/jafari-2023-avk/jafari-2023-avk-image.webp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/jafari-2023-avk/jafari-2023-avk-image:thumb{{size}}.png" }, { "description": "Auto-VK-Toolkit - C++20 Modules - Report", "filetitle": "report", "main_file": true, "use_in_gallery": true, "access": "public", "name": "jafari-2023-avk-report.pdf", "type": "application/pdf", "size": 134903, "path": "Publication:jafari-2023-avk", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/jafari-2023-avk/jafari-2023-avk-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/jafari-2023-avk/jafari-2023-avk-report:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/jafari-2023-avk/", "__class": "Publication" }, { "id": "leimer-2023-ecd", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/187418", "title": "Ergonomics-Driven Computational Design of Furniture and Indoor Layouts", "date": "2023-05", "abstract": "Humans spend a large proportion of their lives indoors, be it at home, at their workplace, or in public facilities like restaurants or museums, making the design of such indoor spaces an important task. There are many different requirements for both the design of individual pieces of furniture and their arrangement within a given space, making extensive expert knowledge in this field anecessity to achieve the desired design goals in terms of functional, aesthetic and ergonomic quality. While Computer-Aided Design software can aid the user in this task, existing tools often focus on just one specific aspect of the design process. In particular, making sure that a given design adheres to ergonomic guidelines is often left entirely to the designer, making it a difficult task especially for novice users. In this thesis, we explore different approaches of how ergonomic aspects of interior design can be integrated into interactive, automated or data-driven methods for the design of seating furniture and indoor layouts. The first part of the thesis presents an interactive method for the design of seating furniture. Given a triangular mesh of a human body in a specific pose as input, we first compute an approximate pressure distribution on the human body to learn where it needs the most support. A given inital design for a piece of seating furniture is then deformed to provide optimal support to the body while still conforming to the aesthetic design as much as possible. The design can furthermore be modified interactively. We demonstrate that this approach allows even novice users to create comfortable seating furniture designs in a short time span. While an interactive approach provides more control to the user, it also requires substantial manual design effort, making it difficult to use for novice designers. The second part of this thesis proposes a method for the automated generation of seating furniture which depends entirely on the target pose. The designs created with this approach can be used as-is or as an initial design for the approach introduced in the first part of the thesis. Our method for computing the pressure distribution is furthermore extended by taking into account the weight of individual limbs and estimating the frictional forces acting on the body for increased accuracy. Our results show that the proposed method can further improve the designs of seating furniture when used in conjunction with our interactive design tool. Since the ergonomic qualities of seating furniture do not only depend on the design of the furniture itself, but also its relation to the other elements of the surrounding indoor space, the third part of the thesis introduces a data-driven approach for the design of indoor layouts. Since common guidelines for interior design are so numerous, it is an infeasible task to define all of them explicitly when developing a computational design method. Using a data-driven approach makes it possible to implicitly learn about these rules given a large set of suitable examples. But good example data is not always readily available in large quantities; existing datasets may fulfill some of the desired rules, but lack in other areas. We therefore propose a deep-learning approach thatmakes use of the advantages of data-driven learning, while at the same time correcting flaws in the dataset using a small set of explicitly designed rules drawn from ergonomics literature. We evaluate the designs synthesized by this approach using a perceptual study and show that theresults are seen as equally or even more realistic than the ground truth designs that were used to train the deep learning model.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 369, "image_height": 369, "name": "leimer-2023-ecd-image.png", "type": "image/png", "size": 85972, "path": "Publication:leimer-2023-ecd", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/leimer-2023-ecd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/leimer-2023-ecd-image:thumb{{size}}.png" }, "sync_repositum_override": "date,projects", "repositum_presentation_id": null, "authors": [ 1019 ], "co_supervisor": [ 844 ], "date_end": "2023-05-31", "date_start": "2016-03-01", "doi": "10.34726/hss.2023.113961", "matrikelnr": "00825842", "open_access": "yes", "pages": "115", "reviewer_1": [ 5282 ], "reviewer_2": [ 194 ], "rigorosum": "2023-05-31", "supervisor": [ 193 ], "research_areas": [ "Modeling" ], "keywords": [ "Computational Design", "Computer-Aided Design", "Generative Deep Learning", "Shape Optimization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 369, "image_height": 369, "name": "leimer-2023-ecd-image.png", "type": "image/png", "size": 85972, "path": "Publication:leimer-2023-ecd", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/leimer-2023-ecd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/leimer-2023-ecd-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2023-ecd-thesis.pdf", "type": "application/pdf", "size": 4423498, "path": "Publication:leimer-2023-ecd", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/leimer-2023-ecd-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/leimer-2023-ecd-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/", "__class": "Publication" }, { "id": "cech-2023-taa", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Temporal Anti-Aliasing State of the Art", "date": "2023-05", "abstract": "In this student project most of the temporal anti-aliasing (TAA) techniques described in the TAA STAR report by Yang et al. [2020] were implemented. The main goal was to write a testing application that allows to experiment with different methods and parameters in varying scenes. The different methods broadly fall into two categories: Acquisition of the temporal samples, and validation and rectification of history data. The topic of temporal upsampling was also briefly experimented with, but not followed up in depth. Additionally, TAA with adaptive ray tracing, as proposed by Marrs et al. [2019], was implemented.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1100, "image_height": 878, "name": "cech-2023-taa-image.png", "type": "image/png", "size": 1597852, "path": "Publication:cech-2023-taa", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/cech-2023-taa/cech-2023-taa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/cech-2023-taa/cech-2023-taa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1776 ], "date_end": "2023-05", "date_start": "2020-08", "matrikelnr": "08900070", "supervisor": [ 848, 193 ], "research_areas": [ "Rendering" ], "keywords": [ "Real-Time Rendering", "Temporal Anti-Aliasing", "Vulkan", "TAA", "Auto-Vk", "Auto-Vk-Toolkit", "Vulkan" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/TAA-STAR", "caption": "TAA-STAR on GitHub", "description": "Code repository that contains the implementations, based on Auto-Vk-Toolkit.", "main_file": 1 }, { "href": "https://github.com/cg-tuwien/Auto-Vk-Toolkit", "caption": "Auto-Vk-Toolkit on GitHub", "description": "Programming framework", "main_file": 0 }, { "href": "https://link.springer.com/chapter/10.1007/978-1-4842-4427-2_22", "caption": "[Marrs2019]", "description": "Adam Marrs, Josef Spjut, Holger Gruen, Rahul Sathe, and Morgan McGuire. Improving Temporal Antialiasing with Adaptive Ray Tracing. Apress, Berkeley, CA, USA, 2019.", "main_file": 0 }, { "href": "https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.14018", "caption": "[Yang2020]", "description": "Lei Yang, Shiqiu Liu, and Marco Salvi. A Survey of Temporal Antialiasing Techniques. Computer Graphics Forum, 2020.\n", "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1100, "image_height": 878, "name": "cech-2023-taa-image.png", "type": "image/png", "size": 1597852, "path": "Publication:cech-2023-taa", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/cech-2023-taa/cech-2023-taa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/cech-2023-taa/cech-2023-taa-image:thumb{{size}}.png" }, { "description": "Temporal Anti-Aliasing report by Alexander Cech", "filetitle": "Report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "cech-2023-taa-Report.pdf", "type": "application/pdf", "size": 29291793, "path": "Publication:cech-2023-taa", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/cech-2023-taa/cech-2023-taa-Report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/cech-2023-taa/cech-2023-taa-Report:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/cech-2023-taa/", "__class": "Publication" }, { "id": "bhore-2023-ucd", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/190278", "title": "Untangling circular drawings: Algorithms and complexity", "date": "2023-04", "abstract": "We consider the problem of untangling a given (non-planar) straight-line circular drawing δG of an outerplanar graph G=(V,E) into a planar straight-line circular drawing of G by shifting a minimum number of vertices to a new position on the circle. For an outerplanar graph G, it is obvious that such a crossing-free circular drawing always exists and we define the circular shifting number shift∘(δG) as the minimum number of vertices that are required to be shifted in order to resolve all crossings of δG. We show that the problem CIRCULAR UNTANGLING, asking whether shift∘(δG)≤K for a given integer K, is NP-complete. For n-vertex outerplanar graphs, we obtain a tight upper bound of shift∘(δG)≤n−⌊n−2⌋−2. Moreover, we study the CIRCULAR UNTANGLING for almost-planar circular drawings, in which a single edge is involved in all of the crossings. For this problem, we provide a tight upper bound [Formula presented] and present an O(n2)-time algorithm to compute the circular shifting number of almost-planar drawings.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1878, 1698, 1579, 1879, 1464 ], "articleno": "101975", "doi": "10.1016/j.comgeo.2022.101975", "issn": "1879-081X", "journal": "Computational Geometry", "open_access": "yes", "pages": "14", "publisher": "Elsevier", "volume": "111", "research_areas": [], "keywords": [ "NP-hardness", "Outerplanarity", "Permutations and combinations", "Straight-line Graph drawing", "Untangling" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bhore-2023-ucd-paper.pdf", "type": "application/pdf", "size": 511374, "path": "Publication:bhore-2023-ucd", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/bhore-2023-ucd/bhore-2023-ucd-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/bhore-2023-ucd/bhore-2023-ucd-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/bhore-2023-ucd/", "__class": "Publication" }, { "id": "szabo-2023-fig", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/192053", "title": "Feature-assisted interactive geometry reconstruction in 3D point clouds using incremental region growing", "date": "2023-04", "abstract": "Reconstructing geometric shapes from point clouds is a common task that is often accomplished by experts manually modeling geometries in CAD-capable software. State-of-the-art workflows based on fully automatic geometry extraction are limited by point cloud density and memory constraints, and require pre- and post-processing by the user. In this work, we present a framework for interactive, user-driven, feature-assisted geometry reconstruction from arbitrarily sized point clouds. Based on seeded region-growing point cloud segmentation, the user interactively extracts planar pieces of geometry and utilizes contextual suggestions to point out plane surfaces, normal and tangential directions, and edges and corners. We implement a set of feature-assisted tools for high-precision modeling tasks in architecture and urban surveying scenarios, enabling instant-feedback interactive point cloud manipulation on large-scale data collected from real-world building interiors and facades. We evaluate our results through systematic measurement of the reconstruction accuracy, and interviews with domain experts who deploy our framework in a commercial setting and give both structured and subjective feedback.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1002, 1640, 1387, 1494, 228, 1277, 166 ], "doi": "10.1016/j.cag.2023.02.004", "issn": "1873-7684", "journal": "COMPUTERS & GRAPHICS-UK", "pages": "12", "pages_from": "213", "pages_to": "224", "publisher": "PERGAMON-ELSEVIER SCIENCE LTD", "volume": "111", "research_areas": [], "keywords": [ "Point clouds", "interaction", "Segmentation", "Reconstruction" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/szabo-2023-fig/", "__class": "Publication" }, { "id": "unterguggenberger-2023-vaw", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/175991", "title": "Vulkan all the way: Transitioning to a modern low-level graphics API in academia", "date": "2023-04", "abstract": "For over two decades, the OpenGL API provided users with the means for implementing versatile, feature-rich, and portable real-time graphics applications. Consequently, it has been widely adopted by practitioners and educators alike and is deeply ingrained in many curricula that teach real-time graphics for higher education. Over the years, the architecture of graphics processing units (GPUs) incrementally diverged from OpenGL's conceptual design. The more recently introduced Vulkan API provides a more modern, fine-grained approach for interfacing with the GPU, which allows a high level of controllability and, thereby, deep insights into the inner workings of modern GPUs. This property makes the Vulkan API especially well suitable for teaching graphics programming in university education, where fundamental knowledge shall be conveyed. Hence, it stands to reason that educators who have their students’ best interests at heart should provide them with corresponding lecture material. However, Vulkan is notoriously verbose and rather challenging for first-time users, thus transitioning to this new API bears a considerable risk of failing to achieve expected teaching goals. In this paper, we document our experiences after teaching Vulkan in both introductory and advanced graphics courses side-by-side with conventional OpenGL. A collection of surveys enables us to draw conclusions about perceived workload, difficulty, and students’ acceptance of either approach. In doing so, we identify suitable conditions and recommendations for teaching Vulkan to both undergraduate and graduate students.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1216, "image_height": 1216, "name": "unterguggenberger-2023-vaw-image.png", "type": "image/png", "size": 1536211, "path": "Publication:unterguggenberger-2023-vaw", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/unterguggenberger-2023-vaw-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/unterguggenberger-2023-vaw-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 848, 1650, 193 ], "doi": "10.1016/j.cag.2023.02.001", "issn": "1873-7684", "journal": "Computers and Graphics", "open_access": "yes", "pages": "11", "pages_from": "155", "pages_to": "165", "publisher": "Elsevier", "volume": "111", "research_areas": [], "keywords": [ "GPU", "Graphics API", "Programming framework", "Real-time rendering", "Teaching", "Vulkan" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/VulkanLaunchpad", "caption": "Vulkan Launchpad", "description": "A framework by TU Wien targeted at Vulkan beginners.", "main_file": 1 }, { "href": "https://github.com/cg-tuwien/Auto-Vk", "caption": "Auto-Vk", "description": "A low-level convenience and productivity layer for Vulkan", "main_file": 1 }, { "href": "https://github.com/cg-tuwien/Auto-Vk-Toolkit", "caption": "Auto-Vk-Toolkit", "description": "C++ framework atop Auto-Vk for rapid prototyping, research, and teaching.", "main_file": 1 }, { "href": "https://education.siggraph.org/cgsource/content/road-vulkan-teaching-vulkan-introductory-graphics-courses", "caption": "\"The Road to Vulkan\" at cgSource", "description": "Entry at the ACM SIGGRAPH Education Committee's cgSource repository.", "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1216, "image_height": 1216, "name": "unterguggenberger-2023-vaw-image.png", "type": "image/png", "size": 1536211, "path": "Publication:unterguggenberger-2023-vaw", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/unterguggenberger-2023-vaw-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/unterguggenberger-2023-vaw-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "unterguggenberger-2023-vaw-paper.pdf", "type": "application/pdf", "size": 972237, "path": "Publication:unterguggenberger-2023-vaw", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/unterguggenberger-2023-vaw-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/unterguggenberger-2023-vaw-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/", "__class": "Publication" }, { "id": "moerth-2023-fbt", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": " From Bergen to Boston – Lessons learned from studying a PhD in Norway and experiences from Harvard", "date": "2023-03-10", "abstract": "In this talk I will reflect on my time as a PhD student at the University of Bergen and will share my experiences throughout my research exchange at the Harvard University. I will talk about the ups and downs in PhD life and what helped me to pull it through and what I would have wished throughout my study time. Furthermore, I will also put my experiences into perspective and talk about how PhD life looks like at the Harvard University. What are the major differences and similarities and what could we learn from them as well as what could the Harvard University learn from Bergen.", "authors_et_al": false, "substitute": null, "main_image": { "description": "The coat of arms of the University of Bergen and the University Harvard next to each other.", "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 960, "image_height": 720, "name": "moerth-2023-fbt-Image.png", "type": "image/png", "size": 417721, "path": "Publication:moerth-2023-fbt", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/moerth-2023-fbt/moerth-2023-fbt-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/moerth-2023-fbt/moerth-2023-fbt-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1345 ], "event": "CG Colloquy Cycle", "location": "TU Wien", "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://www.cg.tuwien.ac.at/courses/konversatorium/Bergen-Boston-%E2%80%93-Lessons-learned-studying-PhD-Norway-and-experiences-Harvard", "caption": "Announcement", "description": null, "main_file": 0 } ], "files": [ { "description": "The coat of arms of the University of Bergen and the University Harvard next to each other.", "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 960, "image_height": 720, "name": "moerth-2023-fbt-Image.png", "type": "image/png", "size": 417721, "path": "Publication:moerth-2023-fbt", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/moerth-2023-fbt/moerth-2023-fbt-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/moerth-2023-fbt/moerth-2023-fbt-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Talk", "main_file": false, "use_in_gallery": false, "access": "public", "name": "moerth-2023-fbt-Talk.mp4", "type": "video/mp4", "size": 158715424, "path": "Publication:moerth-2023-fbt", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/moerth-2023-fbt/moerth-2023-fbt-Talk.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/moerth-2023-fbt/moerth-2023-fbt-Talk:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2023/moerth-2023-fbt/moerth-2023-fbt-Talk:video.mp4" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/moerth-2023-fbt/", "__class": "Publication" }, { "id": "hofer_kerstin-2023-sketch2model", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Sketch to 3d-Model using Deep Learning and Differentiable Rendering", "date": "2023-03-03", "abstract": "Deriving 3D models from sketches has been a relevant research topic for years now, mainly due to its potential to simplify the realization of ideas and drafts for certain professions like artists, engineers and designers. With the raise of neural networks, new methods start to form utilizing the learning capability of those networks. One such method is the application of differentiable rendering, where a base mesh is deformed until the difference between the differentiable renderings and the target image is reasonably small. However, those target images, e.g., normal or depth maps, are not inherently available to the system, since the only input is a sketch. Therefore, intermediate representations predicted from the sketch need to be generated, that provide the required information.\n\nThe aim of this thesis is to provide a an end-to-end framework that reconstructs 3d models from 2d sketches using intermediate depth and normal representations and differentiable rendering. In addition to that, the topology of the sketch is determined and a respective base mesh is used for the mesh deformation. By comparing this setup to an established network as well as conducting an ablation study to reveal the effects the improvements have, the system and its limitations are evaluated. This will determine if the proposed optimisations facilitate input generalisability beyond class/object restrictions and improve mesh quality.", "authors_et_al": false, "substitute": null, "main_image": { "description": "General system overview. From a seeded user sketch, the silhouette image, the normal and depth maps are translated and a base mesh is determined. Using those, a differentiable renderer is used in order to predict a 3d model.", "filetitle": "Method", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2206, "image_height": 993, "name": "hofer_kerstin-2023-sketch2model-Method.png", "type": "image/png", "size": 326093, "path": "Publication:hofer_kerstin-2023-sketch2model", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/hofer_kerstin-2023-sketch2model/hofer_kerstin-2023-sketch2model-Method.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/hofer_kerstin-2023-sketch2model/hofer_kerstin-2023-sketch2model-Method:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5280 ], "co_supervisor": [ 5281 ], "date_end": "2023-03-03", "date_start": "2022-11", "diploma_examina": "2023-05-03", "matrikelnr": "2010695019", "note": "Thesis created in cooperation with Department Creative Technologies, University of Applied Sciences Salzburg, Salzburg, Austria", "open_access": "yes", "supervisor": [ 1395 ], "research_areas": [ "Geometry", "Modeling", "Rendering" ], "keywords": [ "deep learning", "single-view model generation", "topology", "differentiable rendering", "2.5d intermediate representation" ], "weblinks": [ { "href": "https://github.com/Kerstin08/Sketch-to-3d-Model", "caption": "Source Code", "description": "Repository on Github ", "main_file": 1 } ], "files": [ { "description": "General system overview. From a seeded user sketch, the silhouette image, the normal and depth maps are translated and a base mesh is determined. Using those, a differentiable renderer is used in order to predict a 3d model.", "filetitle": "Method", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2206, "image_height": 993, "name": "hofer_kerstin-2023-sketch2model-Method.png", "type": "image/png", "size": 326093, "path": "Publication:hofer_kerstin-2023-sketch2model", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/hofer_kerstin-2023-sketch2model/hofer_kerstin-2023-sketch2model-Method.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/hofer_kerstin-2023-sketch2model/hofer_kerstin-2023-sketch2model-Method:thumb{{size}}.png" }, { "description": "Master's Thesis by Kerstin Hofer: Sketch to 3d Model", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "hofer_kerstin-2023-sketch2model-Thesis.pdf", "type": "application/pdf", "size": 18941567, "path": "Publication:hofer_kerstin-2023-sketch2model", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/hofer_kerstin-2023-sketch2model/hofer_kerstin-2023-sketch2model-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/hofer_kerstin-2023-sketch2model/hofer_kerstin-2023-sketch2model-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/hofer_kerstin-2023-sketch2model/", "__class": "Publication" }, { "id": "pogrzebacz-2023-vkl", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "CMake support for Vulkan Launchpad: A framework for Vulkan beginners and introductory graphics courses", "date": "2023-03", "abstract": "During this project, a previously closed-source framework which was used for an introductory graphics course was split into an open source part (published as as \"Vulkan Launchpad\") and a small part which remained closed source for usage in the context of the same introductory graphics course. A CMake-based project setup was established, enabling the open source part being built with different compilers and on various desktop operating systems.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 560, "image_height": 280, "name": "pogrzebacz-2023-vkl-image.png", "type": "image/png", "size": 23836, "path": "Publication:pogrzebacz-2023-vkl", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/pogrzebacz-2023-vkl/pogrzebacz-2023-vkl-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/pogrzebacz-2023-vkl/pogrzebacz-2023-vkl-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5240 ], "date_end": "2023-02", "date_start": "2022-07", "matrikelnr": "01028937", "supervisor": [ 848, 193 ], "research_areas": [ "Rendering" ], "keywords": [ "Introduction to Computer Graphics", "C++", "CMake", "Vulkan", "Introduction to Visual Computing", "Introductory Graphics Course", "Vulkan Launchpad" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/VulkanLaunchpad", "caption": "Vulkan Launchpad on GitHub", "description": null, "main_file": 1 }, { "href": "https://github.com/cg-tuwien/VulkanLaunchpadStarter", "caption": "Starter Template", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 560, "image_height": 280, "name": "pogrzebacz-2023-vkl-image.png", "type": "image/png", "size": 23836, "path": "Publication:pogrzebacz-2023-vkl", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/pogrzebacz-2023-vkl/pogrzebacz-2023-vkl-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/pogrzebacz-2023-vkl/pogrzebacz-2023-vkl-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/pogrzebacz-2023-vkl/", "__class": "Publication" }, { "id": "kristmann-2023-vkl", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Components for Vulkan Launchpad: A framework for Vulkan beginners and introductory graphics courses", "date": "2023-03", "abstract": "During this project, the Vulkan Launchpad framework was extened by a model loader for OBJ model files and an arcball/orbit-style camera to navigate the scene.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 560, "image_height": 280, "name": "kristmann-2023-vkl-image.png", "type": "image/png", "size": 23836, "path": "Publication:kristmann-2023-vkl", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kristmann-2023-vkl/kristmann-2023-vkl-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kristmann-2023-vkl/kristmann-2023-vkl-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1935 ], "date_end": "2023-02", "date_start": "2022-07", "matrikelnr": "01518693", "supervisor": [ 848, 193 ], "research_areas": [ "Rendering" ], "keywords": [ "Introduction to Computer Graphics", "Vulkan", "C++", "Vulkan Launchpad", "Model Loader", "CMake" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/VulkanLaunchpad", "caption": "Vulkan Launchpad on GitHub", "description": null, "main_file": 1 }, { "href": "https://github.com/cg-tuwien/VulkanLaunchpadStarter", "caption": "Starter Template", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 560, "image_height": 280, "name": "kristmann-2023-vkl-image.png", "type": "image/png", "size": 23836, "path": "Publication:kristmann-2023-vkl", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kristmann-2023-vkl/kristmann-2023-vkl-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kristmann-2023-vkl/kristmann-2023-vkl-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kristmann-2023-vkl/", "__class": "Publication" }, { "id": "wolf-2023-cc", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Concept Clusters", "date": "2023-03", "abstract": "The Motivation for this work is to explore methods for visualizing high-dimensional\ndatasets, with a specific focus on understanding the inner workings of Deep Neural Networks\n(DNNs). DNNs are a type of Artificial Neural Network (ANN) that consist of an\ninput layer, an output layer, and multiple hidden layers. They are able to make predictions\nor decisions based on unseen observations, but the way that they arrive at these\ndecisions can often be opaque, or difficult to interpret. By exploring the similarities of\nfeature vectors in the latent space created by the network, it is possible to gain insight\ninto how the network organizes and classifies observations with similar properties that are\nalso interpretable to the human eye.\n\nThe goal of this work is to develop a prototype that enables interactive exploration\nof data clusterings in high-dimensional feature spaces, instead of the traditional twodimensional\nvisual representation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1425, "image_height": 904, "name": "wolf-2023-cc-teaser.png", "type": "image/png", "size": 184141, "path": "Publication:wolf-2023-cc", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wolf-2023-cc/wolf-2023-cc-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/wolf-2023-cc/wolf-2023-cc-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5238 ], "date_end": "2023-03", "date_start": "2022-03", "matrikelnr": "0925239", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wolf-2023-cc-report.pdf", "type": "application/pdf", "size": 2221475, "path": "Publication:wolf-2023-cc", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wolf-2023-cc/wolf-2023-cc-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/wolf-2023-cc/wolf-2023-cc-report:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1425, "image_height": 904, "name": "wolf-2023-cc-teaser.png", "type": "image/png", "size": 184141, "path": "Publication:wolf-2023-cc", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wolf-2023-cc/wolf-2023-cc-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/wolf-2023-cc/wolf-2023-cc-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wolf-2023-cc/", "__class": "Publication" }, { "id": "musleh-2023-ugi", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/158183", "title": "Uncertainty guidance in proton therapy planning visualization", "date": "2023-02-20", "abstract": "We investigate uncertainty guidance mechanisms to support proton therapy (PT) planning visualization. Uncertainties in the PT workflow pose significant challenges for navigating treatment plan data and selecting the most optimal plan among alternatives. Although guidance techniques have not yet been applied to PT planning scenarios, they have successfully supported sense- and decision-making processes in other contexts. We hypothesize that augmenting PT uncertainty visualization with guidance may influence the intended users' perceived confidence and provide new insights. To this end, we follow an iterative co-design process with domain experts to develop a visualization dashboard enhanced with distinct level-of-detail uncertainty guidance mechanisms. Our approach classifies uncertainty guidance into two dimensions: degree of intrusiveness and detail-orientation. Our dashboard supports the comparison of multiple treatment plans (i.e., nominal plans with their translational variations) while accounting for multiple uncertainty factors. We subsequently evaluate the designed and developed strategies by assessing perceived confidence and effectiveness during a sense- and decision-making process. Our findings indicate that uncertainty guidance in PT planning visualization does not necessarily impact the perceived confidence of the users in the process. Nonetheless, it provides new insights and raises uncertainty awareness during treatment plan selection. This observation was particularly evident for users with longer experience in PT planning.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Graphical Abstract", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1333, "image_height": 1039, "name": "musleh-2023-ugi-Graphical Abstract.jpg", "type": "image/jpeg", "size": 235392, "path": "Publication:musleh-2023-ugi", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/musleh-2023-ugi/musleh-2023-ugi-Graphical Abstract.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/musleh-2023-ugi/musleh-2023-ugi-Graphical Abstract:thumb{{size}}.png" }, "sync_repositum_override": "event", "repositum_presentation_id": null, "authors": [ 1867, 1445, 1863, 5236, 166, 1410 ], "doi": "10.1016/j.cag.2023.02.002", "event": "VCBM 2023", "issn": "1873-7684", "journal": "Computers and Graphics", "open_access": "yes", "pages_from": "166", "pages_to": "179", "publisher": "PERGAMON-ELSEVIER SCIENCE LTD", "volume": "111", "research_areas": [ "MedVis" ], "keywords": [ "Visual analytics", "Applied computing", "Decision support systems" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Graphical Abstract", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1333, "image_height": 1039, "name": "musleh-2023-ugi-Graphical Abstract.jpg", "type": "image/jpeg", "size": 235392, "path": "Publication:musleh-2023-ugi", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/musleh-2023-ugi/musleh-2023-ugi-Graphical Abstract.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/musleh-2023-ugi/musleh-2023-ugi-Graphical Abstract:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/musleh-2023-ugi/", "__class": "Publication" }, { "id": "unterguggenberger-2023-ait", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/192724", "title": "An Introduction to Vulkan", "date": "2023-02-07", "abstract": "In this tutorial, we teach the fundamentals of Vulkan. Our tutorial is targeted for programmers new to the concepts of Khronos' low-level graphics API. Thus, participants are not expected to have any prior knowledge about the Vulkan API. Prior knowledge about graphics programming in general helps, but is not strictly required. At least basic proficiency with the C programming language is required.\nContent-wise, this tutorial delivers university-level knowledge, based on long-standing teaching experience at TU Wien. Vulkan-specific topics covered include essential Vulkan handles (i.e., instance, physical device, logical device, surface, and swap chain), graphics-pipeline creation and usage, descriptor set creation and binding, command buffer recording, image layout transitions, and parts of synchronization.\nIn the context of the tutorial, a 3D model viewer is implemented. A suitable programming framework is provided for Windows, Linux, and Mac OS. The tutorial is comprised of short lecture sessions and coding sessions with tutors from TU Wien assisting participants.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Vulkanised 2023 Logo", "filetitle": "vulkanised-logo", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 768, "image_height": 323, "name": "unterguggenberger-2023-ait-vulkanised-logo.jpg", "type": "image/jpeg", "size": 37983, "path": "Publication:unterguggenberger-2023-ait", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-ait/unterguggenberger-2023-ait-vulkanised-logo.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-ait/unterguggenberger-2023-ait-vulkanised-logo:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 848, 1525, 1954, 5240, 1614, 1935 ], "date_from": "2023-02-07", "date_to": "2023-02-09", "event": "Vulkanised 2023", "lecturer": [ 848, 1525 ], "location": "München", "research_areas": [], "keywords": [ "Vulkan", "Graphics API", "Computer Graphics", "Real-Time Rendering", "Rendering Engine" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/VulkanLaunchpad", "caption": "Vulkan Launchpad", "description": "A framework by TU Wien targeted at Vulkan beginners.", "main_file": 1 }, { "href": "https://www.vulkan.org/events/vulkanised-2023", "caption": "Vulkanised 2023", "description": "Event page on vulkan.org", "main_file": 0 } ], "files": [ { "description": "Vulkanised 2023 Logo", "filetitle": "vulkanised-logo", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 768, "image_height": 323, "name": "unterguggenberger-2023-ait-vulkanised-logo.jpg", "type": "image/jpeg", "size": 37983, "path": "Publication:unterguggenberger-2023-ait", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-ait/unterguggenberger-2023-ait-vulkanised-logo.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-ait/unterguggenberger-2023-ait-vulkanised-logo:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-ait/", "__class": "Publication" }, { "id": "matt-2023-vae", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Extending the Adversarial Loss Function of Soft-Intro VAE for Stronger Disentaglement", "date": "2023-02", "abstract": "Disentanglement is hard to achieve in unsupervised representation learning. It can be negatively\naffected by trying to improve the reconstruction quality of the generated output. To try to\nalleviate these problems, this project combines two approaches that improve disentanglement and\nreconstruction quality, specifically β-TCVAE[1] and Soft-Intro-VAE[2]. The hypothesis was that\na model that uses a combined loss function of both approaches can retain the positive aspects of\nboth. The results did not confirm the hypothesis and showed no improvement in disentanglement\nmetrics and worse reconstruction results compared to Soft-Intro-VAE[2]. The code for this project\nis available on GitHub.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Latent traversals using Soft-Intro-TCVAE", "filetitle": "SI_TCVAE", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1728, "image_height": 495, "name": "matt-2023-vae-SI_TCVAE.png", "type": "image/png", "size": 705388, "path": "Publication:matt-2023-vae", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/matt-2023-vae/matt-2023-vae-SI_TCVAE.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/matt-2023-vae/matt-2023-vae-SI_TCVAE:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5263 ], "date_end": "2023-03", "date_start": "2022-03", "matrikelnr": "01529399", "supervisor": [ 5264, 1110 ], "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://github.com/meffmadd/intro-tc-vae", "caption": "GitHub", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "matt-2023-vae-report.pdf", "type": "application/pdf", "size": 4219737, "path": "Publication:matt-2023-vae", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/matt-2023-vae/matt-2023-vae-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/matt-2023-vae/matt-2023-vae-report:thumb{{size}}.png" }, { "description": "Latent traversals using Soft-Intro-TCVAE", "filetitle": "SI_TCVAE", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1728, "image_height": 495, "name": "matt-2023-vae-SI_TCVAE.png", "type": "image/png", "size": 705388, "path": "Publication:matt-2023-vae", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/matt-2023-vae/matt-2023-vae-SI_TCVAE.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/matt-2023-vae/matt-2023-vae-SI_TCVAE:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/matt-2023-vae/", "__class": "Publication" }, { "id": "rubik_michael-2022-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "CycleSafely Acquire Data", "date": "2023-01-24", "abstract": "Anfang März: Anfang der Arbeit, Überblick über alle Schritte und Interfaces\nMitte März: Festlegen auf/Kaufen des Tiefensensors\nApril: Verarbeiten und Registrieren der Punktwolke\nMai: GPS Daten auslesen, übertragen und mit Punktwolke verknüpfen\nJuni: RGB Video der Smartphone Kamera mit Tiefenbildern verknüpfen\n Spielraum um nicht vollendete Aufgaben zu erledigen", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 525, "image_height": 407, "name": "rubik_michael-2022-baa-image.png", "type": "image/png", "size": 320696, "path": "Publication:rubik_michael-2022-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rubik_michael-2022-baa/rubik_michael-2022-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rubik_michael-2022-baa/rubik_michael-2022-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1918 ], "date_end": "2023-01-24", "date_start": "2022-03-01", "matrikelnr": "11809937", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "lidar", "point cloud", "registration" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 525, "image_height": 407, "name": "rubik_michael-2022-baa-image.png", "type": "image/png", "size": 320696, "path": "Publication:rubik_michael-2022-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rubik_michael-2022-baa/rubik_michael-2022-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rubik_michael-2022-baa/rubik_michael-2022-baa-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": true, "access": "public", "name": "rubik_michael-2022-baa-thesis.pdf", "type": "application/pdf", "size": 4799027, "path": "Publication:rubik_michael-2022-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rubik_michael-2022-baa/rubik_michael-2022-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rubik_michael-2022-baa/rubik_michael-2022-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rubik_michael-2022-baa/", "__class": "Publication" }, { "id": "Philipp_Hochhauser_2023", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "X-ray Path Tracing for CT Imaging", "date": "2023-01-23", "abstract": "Computed tomography (CT) has a wide range of applications. It is an important technique in industrial non-destructive testing, where engineers want to find flaws in materials or reverse engineer the material composition of an object. Another application in material science is to visualize stresses that occur inside of an object. Furthermore,\nit is also often used in medical applications, however, the focus of this thesis lies on industrial computed tomography.\nActual computed tomography scans can take quite a long time and may become expensive. Therefore, it is essential to create software simulations that allow fast and accurate\nprototyping of such scans, in order to keep cost and time consumption to a minimum. In this thesis, we present a method to create such scans using Monte Carlo based rendering\nmethods and compare it to an existing solution regarding accuracy and time. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1163, "image_height": 733, "name": "Philipp_Hochhauser_2023-image.JPG", "type": "image/jpeg", "size": 72747, "path": "Publication:Philipp_Hochhauser_2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Philipp_Hochhauser_2023/Philipp_Hochhauser_2023-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Philipp_Hochhauser_2023/Philipp_Hochhauser_2023-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5290 ], "date_end": "2023-01-28", "date_start": "2022-04-23", "matrikelnr": "01527619", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "BA_thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Philipp_Hochhauser_2023-BA_thesis.pdf", "type": "application/pdf", "size": 7643614, "path": "Publication:Philipp_Hochhauser_2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Philipp_Hochhauser_2023/Philipp_Hochhauser_2023-BA_thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Philipp_Hochhauser_2023/Philipp_Hochhauser_2023-BA_thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1163, "image_height": 733, "name": "Philipp_Hochhauser_2023-image.JPG", "type": "image/jpeg", "size": 72747, "path": "Publication:Philipp_Hochhauser_2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Philipp_Hochhauser_2023/Philipp_Hochhauser_2023-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Philipp_Hochhauser_2023/Philipp_Hochhauser_2023-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Philipp_Hochhauser_2023/", "__class": "Publication" }, { "id": "rumpler-2023-dcmcm", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/139835", "title": "Real-Time Distortion Correction Methods for Curved Monitors", "date": "2023-01", "abstract": "In recent years, curved computer monitors have become a viable option for consumers. However, traditional real-time graphics pipelines expect a flat display surface, and most real-time applications, such as games and simulations, do not consider the actual geometry of the monitor during rendering. As a result, the synthesized images appear distorted and unnatural when viewed on a curved display. Distortion correction methods for correcting the lens distortion in cameras and head-mounted displays can also be utilized in real-time rendering software for curved monitors. However, the final distortion observed on the curved display depends on the user's viewpoint. With head-tracking, accurate distortion correction can be performed, and perspective-correct projections can be produced. In this thesis, we analyze various methods for generating correct renderings based on the user's viewpoint and the geometry of the monitor. Our experiments confirm that image-based methods provide the best overall performance with acceptable image quality. However, real-time ray tracing and geometry-based implementations are practicable alternatives when using current hardware, and these methods do not suffer from image resampling artifacts. Additionally, we present and evaluate a custom subdivision scheme as an alternative to hardware tessellation for geometry-based solutions that can be implemented in a single render pass using the recently introduced graphics mesh pipeline. In our subdivision scheme, the geometry is split along a screen-aligned grid that reflects the geometry of the display more accurately than the fixed tessellation patterns of hardware tessellation. While the performance of our software-based subdivision scheme has to be improved further, it produces fewer triangles for coarse geometry and, at the same time, achieves similar image quality to hardware tessellation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2106, "image_height": 1229, "name": "rumpler-2023-dcmcm-image.png", "type": "image/png", "size": 4009356, "path": "Publication:rumpler-2023-dcmcm", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rumpler-2023-dcmcm/rumpler-2023-dcmcm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rumpler-2023-dcmcm/rumpler-2023-dcmcm-image:thumb{{size}}.png" }, "sync_repositum_override": "access,title,abstract,date,keywords,doi,open_access,pages,supervisor", "repositum_presentation_id": null, "authors": [ 1660 ], "date_end": "2023-01", "date_start": "2021-10", "diploma_examina": "2013-01-18", "doi": "10.34726/hss.2023.107602", "matrikelnr": "01526299", "open_access": "yes", "pages": "102", "supervisor": [ 193, 848 ], "research_areas": [], "keywords": [ "Distortion Compensation", "Curved Monitors", "Projection", "Real-Time Rendering", "Vulkan", "C++", "Auto-Vk", "Auto-Vk-Toolkit", "Non-Linear Projections", "Perspective-Correct Rendering", "Graphics Mesh Pipeline", "Mesh Shaders", "Grid-Based Triangle Subdivision", "Head Tracking" ], "weblinks": [ { "href": "https://github.com/ifl0w/Distortion-Compenstation-for-Curved-Displays/", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2106, "image_height": 1229, "name": "rumpler-2023-dcmcm-image.png", "type": "image/png", "size": 4009356, "path": "Publication:rumpler-2023-dcmcm", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rumpler-2023-dcmcm/rumpler-2023-dcmcm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rumpler-2023-dcmcm/rumpler-2023-dcmcm-image:thumb{{size}}.png" }, { "description": "Poster (PDF)", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "rumpler-2023-dcmcm-poster.pdf", "type": "application/pdf", "size": 4451031, "path": "Publication:rumpler-2023-dcmcm", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rumpler-2023-dcmcm/rumpler-2023-dcmcm-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rumpler-2023-dcmcm/rumpler-2023-dcmcm-poster:thumb{{size}}.png" }, { "description": "Thesis (PDF)", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "rumpler-2023-dcmcm-thesis.pdf", "type": "application/pdf", "size": 5603994, "path": "Publication:rumpler-2023-dcmcm", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rumpler-2023-dcmcm/rumpler-2023-dcmcm-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rumpler-2023-dcmcm/rumpler-2023-dcmcm-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rumpler-2023-dcmcm/", "__class": "Publication" }, { "id": "groeller-2023-tfo", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/193487", "title": "The Future of Scalable Interactive Visual Analysis", "date": "2023-01", "abstract": "Skalierbare interaktive visuelle Analyse kombiniert computergestützte, interaktive, visuelle Darstellungen von (abstrakten) Daten mit automatischen Techniken, um die Kognition zu fördern und die Modellierung zu erleichtern. Der Vortrag beginnt mit der Formulierung provokanter Thesen, die zum Nachdenken anregen. In den letzten Jahren hat die Komplexität von Daten in Bezug auf Umfang, Wahrheitsgehalt, Geschwindigkeit und Vielfalt erheblich zugenommen. Dies ist sowohl auf neue Datenquellen als auch auf die Verfügbarkeit von Unsicherheits-, Fehler- und Toleranzinformationen zurückzuführen. Anstelle einzelner Objekte werden ganze Mengen, Sammlungen und Ensembles visuell untersucht. Es besteht ein Bedarf an visueller Analyse und Modellierung sowie an vergleichender Visualisierung, quantitativen Visualisierungen, skalierbaren Visualisierungen und verknüpften/integrierten Ansichten. Die Konzepte werden anhand verschiedener Beispiele aus den Bereichen skalierbare Visualisierung, Unsicherheitsvisualisierung, geführte Interaktion und immersive Analytik erläutert. Der Vortrag wird auf die anfänglichen provokativen Thesen zurückkommen und zukünftige Forschungsrichtungen im Bereich der skalierbaren interaktiven visuellen Analyse skizzieren, z.B. Modellitics, Biologisierung der digitalen Welt, Zaten (Zukünftige Daten), immersive Analytik, selbstadaptive selbsterklärende Analyse.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2023-01-26", "date_to": "2023-01-26", "event": "Visual Computing Trends 2023", "lecturer": [ 166 ], "location": "Tech Gate Vienna", "research_areas": [], "keywords": [ "Visualisierung" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/groeller-2023-tfo/", "__class": "Publication" }, { "id": "freude-2023-sem", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/175763", "title": "Sampling-Distribution-Based Evaluation for Monte Carlo Rendering", "date": "2023", "abstract": "In this paper, we investigate the application of per-pixel difference metrics for evaluating Monte Carlo (MC) rendering techniques. In particular, we propose to take the sampling distribution of the mean (SDM) into account for this purpose. We establish the theoretical background and analyze other per-pixel difference metrics, such as the absolute deviation (AD) and the mean squared error (MSE) in relation to the SDM. Based on insights from this analysis, we propose a new, alternative, and particularly easy-to-use approach, which builds on the SDM and facilitates meaningful comparisons of MC rendering techniques on a per-pixel basis. In order to demonstrate the usefulness of our approach, we compare it to commonly used metrics based on a variety of images computed with different rendering techniques. Our evaluation reveals limitations of commonly used metrics, in particular regarding the detection of differences between renderings that might be difficult to detect otherwise—this circ umstance is particularly apparent in comparison to the MSE calculated for each pixel. Our results indicate the potential of SDM-based approaches to reveal differences between MC renderers that might be caused by conceptual or implementation-related issues. Thus, we understand our approach as a way to facilitate the development and evaluation of rendering techniques.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1028, "image_height": 1028, "name": "freude-2023-sem-image.png", "type": "image/png", "size": 731748, "path": "Publication:freude-2023-sem", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1128, 1129, 1073, 193 ], "booktitle": "Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications", "date_from": "2023-02-19", "date_to": "2023-02-21", "doi": "10.5220/0011886300003417", "event": "18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (GRAPP)", "isbn": "978-989-758-634-7", "lecturer": [ 1128 ], "location": "Lisbon, Portugal", "open_access": "yes", "pages": "12", "pages_from": "119", "pages_to": "130", "publisher": "Scitepress", "volume": "1", "research_areas": [ "Rendering" ], "keywords": [ "computer graphics", "Rendering", "Ray Tracing", "Evaluation", "Validation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1028, "image_height": 1028, "name": "freude-2023-sem-image.png", "type": "image/png", "size": 731748, "path": "Publication:freude-2023-sem", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "freude-2023-sem-paper.pdf", "type": "application/pdf", "size": 8656300, "path": "Publication:freude-2023-sem", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "OpenData", "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/", "__class": "Publication" }, { "id": "Sanjin_Rados_RV", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/188242", "title": "Reprojecting Visualizations for Advanced Interaction", "date": "2023", "abstract": "Visual analytics (VA) is increasingly important in data exploration and analysis. While the qualitative results of interactive visual analysis (IVA) remain an essential strength of VA, we believe that extending the current IVA approach is necessary to support critical applications such as medical diagnosis and decision-making. This master thesis supports the existing research by incorporating more quantitative results and allowing users to reproduce their brushing results. Overlaid descriptive statistics and the relative difference plot contribute to decision-making and interpretation. The structured brushing space and novel brushes like percentile and Mahalanobis enable interactive and reproducible quantitative analysis. Positive feedback validates its applicability across domains.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "title,abstract,date,keywords,type_id", "repositum_presentation_id": null, "authors": [ 1359 ], "ac_number": "AC16941517", "co_supervisor": [ 235 ], "date_start": "2014", "doi": "10.34726/hss.2023.24697", "matrikelnr": "0226963", "open_access": "yes", "pages": "145", "supervisor": [ 166 ], "research_areas": [], "keywords": [ "Brushing", "Visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Sanjin_Rados_RV-thesis.pdf", "type": "application/pdf", "size": 6152467, "path": "Publication:Sanjin_Rados_RV", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Sanjin_Rados_RV/Sanjin_Rados_RV-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Sanjin_Rados_RV/Sanjin_Rados_RV-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Sanjin_Rados_RV/", "__class": "Publication" }, { "id": "schlachter-2022-vcm", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/158256", "title": "Visual Computing Methods for Radiotherapy Planning", "date": "2023", "abstract": "Radiotherapy (RT) is one of the major curative approaches for cancer. It is a complex andrisky treatment approach, which requires precise planning, prior to the administrationof the treatment. Visual Computing (VC) is a fundamental component of RT planning,providing solutions in all parts of the process — from imaging to delivery.VC employs elements from computer graphics and image processing to create meaningful,interactive visual representations of medical data, and it has become an influentialfield of research for many advanced applications like radiation oncology. InteractiveVC approaches represent a new opportunity to integrate knowledgeable experts andtheir cognitive abilities in exploratory processes, which cannot be conducted by solelyautomatized methods.Despite the significant technological advancements of RT over the last decades, thereare still many challenges to address. In RT planning medical doctors need to consider avariety of information sources for anatomical and functional target volume delineation.The validation and inspection of the defined target volumes and the resulting RT planis a complex task, especially in the presence of moving target areas as it is the case fortumors of the chest and the upper abdomen, for instance, caused by breathing motion.Handling RT planning and delivery-related uncertainties, especially in the presence oftumor motion, is essential to improve the efficiency of the treatment and the minimizationof side effects.This dissertation contributes to the handling of RT planning related uncertainties byproposing novel VC methods. Quantification and visualization of these types of uncer-tainties will be an essential part of the presented methods, and aims at improving the RTworkflow in terms of delineation and registration accuracy, margin definitions and theinfluence of these uncertainties onto the dosimetric outcome. The publications presentedin this thesis address key aspects of the RT treatment planning process, where humaninteraction is required, and VC has the potential to improve the treatment outcome.First, major requirements for a multi-modal visualization framework are defined andimplemented with the aim to improve motion management by including 4D imageinformation. The visualization framework was designed to provide medical doctors withthe necessary visual information to improve the accuracy of tumor target delineationsand the efficiency of RT plan evaluation.xiii\nFurthermore, the topic of deformable image registration (DIR) accuracy is addressed inthis thesis. DIR has the potential to improve modern RT in many aspects, includingvolume definition, treatment planning, and image-guided adaptive RT. However, mea-suring DIR accuracy is difficult without known ground truth, but necessary before theintegration in the RT workflow. Visual assessment is an important step towards clinicalacceptance. A visualization framework is proposed, which supports the exploration andthe assessment of DIR accuracy. It offers different interaction and visualization featuresfor exploration of candidate regions to simplify the process of visual assessment, andthereby improve and contribute to its adequate use in RT planning.Finally, the topic of healthy tissue sparing is addressed with a novel visualization approachto interactively explore RT plans, and identify regions of healthy tissue, which can bespared further without compromising the treatment goals defined for tumor targets. Forthis, overlap volumes of tumor targets and healthy organs are included in the RT planevaluation process, and the initial visualization framework is extended with quantitativeviews. This enables quantitative properties of the overlap volumes to be interactivelyexplored, to identify critical regions and to steer the visualization for a detailed inspectionof candidates.All approaches were evaluated in user studies covering the individual visualizations andtheir interactions regarding helpfulness, comprehensibility, intuitiveness, decision-makingand speed, and if available using ground truth data to prove their validity.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 600, "image_height": 325, "name": "schlachter-2022-vcm-.JPG", "type": "image/jpeg", "size": 35609, "path": "Publication:schlachter-2022-vcm", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/schlachter-2022-vcm/schlachter-2022-vcm-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/schlachter-2022-vcm/schlachter-2022-vcm-:thumb{{size}}.png" }, "sync_repositum_override": "authors,abstract,supervisor", "repositum_presentation_id": null, "authors": [ 1651 ], "co_supervisor": [ 231 ], "date_end": "2022-09-05", "date_start": "2019", "doi": "10.34726/hss.2023.110705", "matrikelnr": "01428822", "open_access": "yes", "pages": "180", "reviewer_1": [ 977 ], "reviewer_2": [ 563 ], "rigorosum": "2023-02-14", "supervisor": [ 166 ], "research_areas": [], "keywords": [ "medicine", "radiology", "medical physics", "oncology" ], "weblinks": [ { "href": "https://www.cg.tuwien.ac.at/research/publications/2022/schlachter-2022-vcm/schlachter-2022-vcm-.pdf", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 600, "image_height": 325, "name": "schlachter-2022-vcm-.JPG", "type": "image/jpeg", "size": 35609, "path": "Publication:schlachter-2022-vcm", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/schlachter-2022-vcm/schlachter-2022-vcm-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/schlachter-2022-vcm/schlachter-2022-vcm-:thumb{{size}}.png" }, { "description": null, "filetitle": "Dissertation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "schlachter-2022-vcm-Dissertation.pdf", "type": "application/pdf", "size": 65277835, "path": "Publication:schlachter-2022-vcm", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/schlachter-2022-vcm/schlachter-2022-vcm-Dissertation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/schlachter-2022-vcm/schlachter-2022-vcm-Dissertation:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/schlachter-2022-vcm/", "__class": "Publication" }, { "id": "shilo-2023-vna", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/188343", "title": "Visual narratives against misleading visualizations in health care", "date": "2023", "abstract": "This thesis proposes a solution against misleading visualizations in health care, which convey inaccurate insights. Misleading elements of such visualizations originate from uncertainties emerging across the steps of the medical visualization pipeline. We investigate the field of storytelling and gamification to support the general audience in recognizing and addressing misleading visualizations in health care. Our research questions are: ``Which types of uncertainty arise in the medical visualization pipeline and is there any intent behind those?'' and ``How can we inform the general population about the existence of visualization uncertainty?'' To answer the research questions, we created a taxonomy of uncertainty types in the medical visualization pipeline and designed and developed the educational game ``DeteCATive'' to convey these concepts to the general public in an engaging way. The game includes eight tasks that contain amusing fictional stories with misleading visualizations created with intent and based on medical data. Every story comes with its own set of assumptions. A player should define whether an assumption is correct or false based on the story to gain points and rewards. Then, these points can be spent at the end of the game to fulfill the game objective. To assess the educational value of the game, we conducted a user study with 21 participants. This study provided us with significant insights. Certain misleading visualization tricks were hard to recognize by the participants. The game obtained positive participants feedback from the participants regarding memorability, reinforcement, and engagement. Incorrectly assessed assumptions required more time as opposed to correctly assessed ones, indicating the willingness of participants to learn more. Further research directions include the investigation of a potential correlation between uncertainty types and detectability or investigating further intents.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5288 ], "doi": "10.34726/hss.2023.112160", "open_access": "yes", "pages": "128", "supervisor": [ 1410 ], "research_areas": [], "keywords": [ "storytelling", "on-screen gamification approaches", "narrative visualization", "misleading visualizations", "biomedical visualization pipeline", "uncertainty in biomedicine", "uncertainty quantification", "educational visualization", "visualization for large audiences" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "shilo-2023-vna-thesis.pdf", "type": "application/pdf", "size": 8222502, "path": "Publication:shilo-2023-vna", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/shilo-2023-vna/shilo-2023-vna-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/shilo-2023-vna/shilo-2023-vna-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/shilo-2023-vna/", "__class": "Publication" }, { "id": "tuscher-2023-qeo", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/175746", "title": "Quantitative Evaluation of Reading Times and Error Rates When Interpreting Visual Content", "date": "2023", "abstract": "As static visualizations like diagrams, maps, charts, or drawings get more and more important in everyday life, it is crucial to find out how helpful they actually are, especially in comparison to text. This diploma thesis outlines if visualizations or texts are processed faster by humans and which representation is better comprehensible. For this purpose, we conducted an exploratory study in which we measured processing times and error rates when interpreting either texts or visualizations. In a pre-study, in which each participant had to describe four visualizations in their own words, we found out which parts of a visualization are deemed most important by people. The focus of the participants was on extrema, as well as on certain other values. Furthermore, the participants often compared different values in order to describe the visualization. The pre-study gave us valuable insights which we used for writing the texts for our study. For our exploratory study, where we wanted to find out more about whether visualizations or text can be interpreted more easily, we used 15 visualizations and texts that contained the same information. Each participant had to work on at least six topics, thereof at least three by using visualizations and three by using texts, and had to answer three questions per topic at the end. The time was measured while the participants worked on the topics.We could see that the participants solved topics by using visualizations on average about 1.3 times faster as compared to when they used texts. This difference was statistically significant. We could not find significant differences between the error rates for topics, when participants used visualizations or texts. When texts were used, we found correlations between text lengths and processing speeds, as well as text lengths and error rates. The content of visualizations or texts did not seem to play a role for processing speed or error rates. However, we found cases in which topics with visualizations were solved more than 50 % faster as compared to topics with texts. Our results provide a solid basis for defining further hypotheses regarding the readability of visualizations compared to text. In this thesis, we present the final hypotheses that emerge from our exploratory study. We consider these to be extremely interesting for visualization research, as there is much evidence that visual information can be processed faster than text. Whereby it is worth mentioning that the actual increase in performance may be much lower than often claimed in the media (e.g. `60,000 times faster than text'). Furthermore, our results indicate that no significant differences can be found between visual information and text with regard to the error rate in answering final questions.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5259 ], "co_supervisor": [ 950 ], "doi": "10.34726/hss.2023.95045", "open_access": "yes", "pages": "131", "supervisor": [ 166 ], "research_areas": [], "keywords": [ "data visualization", "data literacy", "processing speed", "comprehensibility" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "tuscher-2023-qeo-thesis.pdf", "type": "application/pdf", "size": 4823934, "path": "Publication:tuscher-2023-qeo", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/tuscher-2023-qeo/tuscher-2023-qeo-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/tuscher-2023-qeo/tuscher-2023-qeo-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/tuscher-2023-qeo/", "__class": "Publication" }, { "id": "mistelbauer-2023-aha", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/176598", "title": "A Holistic Approach for Metabolic Pathway Visualization", "date": "2023", "abstract": "Metabolic pathways represent interconnected reactions of chemical entities, which take place within cells. These pathways are represented in domain-specific notations, which are used for knowledge exchange in the life sciences. Since they can contain thousands of nodes, automatic layouts are required that conserve the meaning of these pathways. There are many graph drawing algorithms including hierarchical, topology-shape-metric, force-directed, and constraint-based approaches. They typically consider only a subset of the requirements needed to faithfully visualize metabolic pathways and rarely support domain-specific notations. In this work, we present a holistic approach to visualize metabolic pathways compliant with the Systems Biology Graph Notation (SBGN). Our approach starts with loading a metabolic pathway and mapping it to a clustered graph structure to model the hierarchy of subcellular locations. The nodes are then arranged through vectorized stress majorization using domain-specific constraints in a multilevel setup. This leads to a SBGN-compliant layout. To distinguish certain reactions at subcellular locations, we developed a visualization technique that produces distinct shapes in analogy to an elastic band. To explore large pathways, we provide an expand and collapse interaction in combination with motif simplification. We determine the degree of the layout's compliance with the SBGN by proposing domain-specific quality metrics. Our results demonstrate that the formulation of SBGN-specific constraints in the framework of vectorized stress majorization is feasible. Finally, our evaluation corroborates that our layout approach can faithfully represent metabolic pathways.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5261 ], "co_supervisor": [ 1464 ], "doi": "10.34726/hss.2023.86461", "open_access": "yes", "pages": "144", "supervisor": [ 166 ], "research_areas": [], "keywords": [ "graph drawing", "metabolic pathways", "cluster visualization", "multilevel layout", "constraint-based layout", "expand and collapse", "complexity reduction", "SBGN", "graph quality metrics", "motif simplification" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mistelbauer-2023-aha-thesis.pdf", "type": "application/pdf", "size": 4484692, "path": "Publication:mistelbauer-2023-aha", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/mistelbauer-2023-aha/mistelbauer-2023-aha-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/mistelbauer-2023-aha/mistelbauer-2023-aha-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/mistelbauer-2023-aha/", "__class": "Publication" }, { "id": "noellenburg-2023-pga", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/190033", "title": "Planarizing Graphs and Their Drawings by Vertex Splitting", "date": "2023", "abstract": "The splitting number of a graph G= (V, E) is the minimum number of vertex splits required to turn G into a planar graph, where a vertex split removes a vertex v∈ V, introduces two new vertices v1, v2, and distributes the edges formerly incident to v among v1, v2. The splitting number problem is known to be NP-complete for abstract graphs and we provide a non-uniform fixed-parameter tractable (FPT) algorithm for this problem. We then shift focus to the splitting number of a given topological graph drawing in R2, where the new vertices resulting from vertex splits must be re-embedded into the existing drawing of the remaining graph. We show NP-completeness of this embedded splitting number problem, even for its two subproblems of (1) selecting a minimum subset of vertices to split and (2) for re-embedding a minimum number of copies of a given set of vertices. For the latter problem we present an FPT algorithm parameterized by the number of vertex splits. This algorithm reduces to a bounded outerplanarity case and uses an intricate dynamic program on a sphere-cut decomposition.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1579, 5307, 5227, 5308, 1464, 5309 ], "booktitle": "Graph Drawing and Network Visualization. GD 2022", "date_from": "2022-09-13", "date_to": "2022-09-16", "doi": "10.1007/978-3-031-22203-0_17", "event": "International Symposium on Graph Drawing and Network Visualization (GD 2022)", "isbn": "978-3-031-22203-0", "lecturer": [ 5308 ], "location": "Tokyo", "pages": "15", "pages_from": "232", "pages_to": "246", "publisher": "Springer", "volume": "13764", "research_areas": [], "keywords": [ "Parameterized complexity", "Planarization", "Vertex splitting" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "noellenburg-2023-pga-paper.pdf", "type": "application/pdf", "size": 1051045, "path": "Publication:noellenburg-2023-pga", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/noellenburg-2023-pga/noellenburg-2023-pga-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/noellenburg-2023-pga/noellenburg-2023-pga-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/noellenburg-2023-pga/", "__class": "Publication" }, { "id": "oppitz-2023-ais", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/176550", "title": "Advanced Importance Sampling Techniques for Virtual Ray Lights", "date": "2023", "abstract": "This thesis provides new importance sampling techniques for Virtual Ray Lights forRendering Scenes in Participating Media. We will discuss the foundations of rendering scenes with participating media first, to get an understanding of this topic. Furthermore, we will provide an overview of different approaches that can be used for the rendering of these scenes. Virtual Ray Lights is an algorithm that traces light rays from the light source through the scene, which are then evaluated individually for each camera ray. Importance sampling is used on both rays to get a samples for each ray for which their contribution can be calculated. As a solid understanding of the original algorithm is needed to understand the newapproaches that we introduce, a focus is laid on explaining the mathematical foundations of the approach. We highlight the shortcomings that we found for rendering anisotropic participating media and introduce our solutions to solve them more efficiently. We provide two different solutions to the problem that we evaluated in the originalalgorithm. Our solutions are explained mathematically, via pseudo code and are evaluated with a multitude of tests. The goal of this thesis is to provide new, simple, robust and fast solutions to rendering scenes with anisotropic participating media.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2133, "image_height": 886, "name": "oppitz-2023-ais-image.png", "type": "image/png", "size": 560004, "path": "Publication:oppitz-2023-ais", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/oppitz-2023-ais/oppitz-2023-ais-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/oppitz-2023-ais/oppitz-2023-ais-image:thumb{{size}}.png" }, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1501 ], "date_end": "2023-04-17", "date_start": "2018-11", "diploma_examina": "2023-04-17", "doi": "10.34726/hss.2023.111460", "matrikelnr": "01227129", "open_access": "yes", "pages": "109", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "global illumination", "virtual point lights", "virtual ray lights", "ray tracing" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2133, "image_height": 886, "name": "oppitz-2023-ais-image.png", "type": "image/png", "size": 560004, "path": "Publication:oppitz-2023-ais", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/oppitz-2023-ais/oppitz-2023-ais-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/oppitz-2023-ais/oppitz-2023-ais-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "oppitz-2023-ais-poster.pdf", "type": "application/pdf", "size": 714563, "path": "Publication:oppitz-2023-ais", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/oppitz-2023-ais/oppitz-2023-ais-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/oppitz-2023-ais/oppitz-2023-ais-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "oppitz-2023-ais-thesis.pdf", "type": "application/pdf", "size": 5161313, "path": "Publication:oppitz-2023-ais", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/oppitz-2023-ais/oppitz-2023-ais-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/oppitz-2023-ais/oppitz-2023-ais-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/oppitz-2023-ais/", "__class": "Publication" }, { "id": "preim-2023-vva", "type_id": "book", "tu_id": null, "repositum_id": "20.500.12708/192952", "title": "Visualization, Visual Analytics and Virtual Reality in Medicine : State-Of-the-art Techniques and Applications", "date": "2023", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 563, 1410, 5320, 1544 ], "isbn": "9780128229620", "pages": "554", "publisher": "Elsevier", "research_areas": [], "keywords": [ "medical visualization", "virtual reality" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/preim-2023-vva/", "__class": "Publication" }, { "id": "korpitsch-2023-sao", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/188331", "title": "Semantic-Aware Animation of Hand-Drawn Characters", "date": "2023", "abstract": "In recent years there has been a lot of research in the area of edutainment, which facilitates effective learning processes by increasing the engagement of the learners. Guided visualisations, such as audio-guided museum tours or Augmented Reality-guided city tours, are one of the potential applications. Guided visualisations are a form of mental practice which traditionally involves verbal guidance that guides a user through a series of visualisations. With the technique of Augmented Reality, one can integrate additional information to guide users or embody verbal guidance with a virtual character, which enables an engaging experience. In this thesis, we aim to make a first step towards guided visualisation by introducing a hand-drawn character for instruction purposes. We especially focus on animation, since character animations are used in different applications, such as computer graphics, but can be hardly generated without certain pre-knowledge. Here, we present a novel pipeline for automatically generating believable movements for hand-drawn characters. The approach consists of five steps. (1) the hand-drawn character is detected from an input image, and (2) the sub-parts of the drawn character, such as the legs and thehead, are identified, respectively. (3) A bone skeleton for animation is extracted and augmented with the semantic information from the previous step. (4) Based on the augmented skeleton, we assign a super-class that the skeleton belongs to, i.e., quadruped, flying or humanoid, and match the end-effectors of the skeleton to the end-effectors of the reference skeleton of the super-class. (5) Finally, we generate a triangular mesh from the input illustration. Once the matching reference skeleton and the hand-drawn character are overlayed, the character is animated and can attract users in different applications. To show the feasibility of our approach, we evaluate the proposed pipeline with a set of hand-drawn characters showing several well-articulate drawings.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1697 ], "co_supervisor": [ 1464 ], "doi": "10.34726/hss.2023.113969", "open_access": "yes", "pages": "91", "supervisor": [ 166 ], "research_areas": [], "keywords": [ "computer animation", "character animation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "korpitsch-2023-sao-thesis.pdf", "type": "application/pdf", "size": 22628975, "path": "Publication:korpitsch-2023-sao", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/korpitsch-2023-sao/korpitsch-2023-sao-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/korpitsch-2023-sao/korpitsch-2023-sao-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/korpitsch-2023-sao/", "__class": "Publication" }, { "id": "boeroendy-2023-eui", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/153884", "title": "Exploring and understanding the impact of machine learning choices on radiotherapy decision making", "date": "2023", "abstract": "In prostate cancer radiotherapy planning, the accurate description of the position and shape of pelvic organs is a crucial part of successful patient treatment. However, the treatment is conducted throughout a long period of time, during which the position and shape of the organs might significantly vary. In addition, the amount of variation tends to differ for each individual. Recent visual analytics publications investigated this by partitioning past patients into clusters with similar variability. Using this as part of a prediction for the organ variability of new patients could improve and further personalize therapy planning. However, the statistical and machine learning methods employed in these works have not been thoroughly and quantitatively evaluated so far and their impact on the final predictions has not been assessed. This thesis focuses on taking a particular implementation of these approaches, proposed by Furmanová et al. [FMCM+21], and quantitatively evaluating the effects of using different alternatives for the employed methods. We focus on two aspects: the effect of using different shape descriptor methods and the impact of modifications in the clustering methods employed. By providing an additional visual analytics framework to visually assess the effect of the aforementioned alternatives, we aim to ensure an effortless and interactive visual interpretation of the impact of various modifications. This is anticipated to support the developers of said predictive algorithms in designing more robust approaches. As a result of our investigation we have highlighted potential issues and improved the initial implementation of the proposed workflow. We conclude that at the current stage of the patient cohort used for the analysis, the selection of appropriate shape description methods should be of main focus, while a notable impact of using different clustering methods is limited to the prediction of the most extreme cases of organ shape variations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 365, "image_height": 199, "name": "boeroendy-2023-eui-.JPG", "type": "image/jpeg", "size": 22573, "path": "Publication:boeroendy-2023-eui", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/boeroendy-2023-eui/boeroendy-2023-eui-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/boeroendy-2023-eui/boeroendy-2023-eui-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5187 ], "doi": "10.34726/hss.2023.91282", "open_access": "yes", "pages": "107", "supervisor": [ 1410 ], "research_areas": [], "keywords": [ "machine learning", "prediction", "statistical evaluation", "clustering", "shape descriptor", "CT scan", "visual analytics", "prostate cancer" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 365, "image_height": 199, "name": "boeroendy-2023-eui-.JPG", "type": "image/jpeg", "size": 22573, "path": "Publication:boeroendy-2023-eui", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/boeroendy-2023-eui/boeroendy-2023-eui-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/boeroendy-2023-eui/boeroendy-2023-eui-:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "boeroendy-2023-eui-thesis.pdf", "type": "application/pdf", "size": 4822156, "path": "Publication:boeroendy-2023-eui", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/boeroendy-2023-eui/boeroendy-2023-eui-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/boeroendy-2023-eui/boeroendy-2023-eui-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/boeroendy-2023-eui/", "__class": "Publication" }, { "id": "cescg-2023", "type_id": "proceedings", "tu_id": null, "repositum_id": "20.500.12708/190034", "title": "Proceedings of the 27th Central European Seminar on Computer Graphics : CESCG 2023", "date": "2023", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [], "doi": "10.34726/5245", "editor": "Ilcik, Martin and Ulschmid, Annalena and Wimmer, Michael", "isbn": "978-3-9504701-4-7", "open_access": "yes", "pages": "120", "publisher": "Vienna University of Technology", "research_areas": [], "keywords": [ "Visual Computing", "Computer Graphics", "Computational Geometry", "Rendering (computer graphics)" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "cescg-2023-paper.pdf", "type": "application/pdf", "size": 63148900, "path": "Publication:cescg-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/cescg-2023/cescg-2023-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/cescg-2023/cescg-2023-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/cescg-2023/", "__class": "Publication" }, { "id": "da_cunha_melo-2023-c3m", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/189341", "title": "Constraint-Based 3D Manipulation for Molecular Modelling on the Web", "date": "2023", "abstract": "Computer-Aided Molecular Design (MolCAD), or molecular modelling, is the computational design and manipulation of molecular structures. This field is experiencing a surge in interest and development, where the focus is often on advanced visualization techniques. However, existing MolCAD tools often lack the level of usability and efficient interaction commonly found in traditional CAD software. This thesis addresses this gap through three methods: (1) a survey of established CAD and MolCAD literature and software, (2) the implementation of identified promising interaction techniques; and (3) case studies to validate their effectiveness.As a result of this process, two interaction techniques are implemented in a web-based environment: a PCA-based alignment tool, and a real-time collision detection system. The decision to implement these tools for the web was made with the aim to provide ease of accessibility and deployment across various platforms, as no installation is required.The case studies conducted were aimed at validating these two implemented approaches. The real-time collision detection system received positive feedback, and showed great potential to make the MolCAD process less frustrating and more efficient. The PCA- based alignment tool, however, received mixed responses, indicating areas for future work. Nonetheless, both features demonstrate the potential to improve user satisfaction and efficiency in MolCAD.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1610 ], "doi": "10.34726/hss.2023.104307", "open_access": "yes", "pages": "84", "supervisor": [ 1110 ], "research_areas": [], "keywords": [ "Molecular Modeling", "Visualization", "Constraint-Based Interaction", "Collision Detection", "WebGPU" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "da_cunha_melo-2023-c3m-thesis.pdf", "type": "application/pdf", "size": 2851536, "path": "Publication:da_cunha_melo-2023-c3m", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/da_cunha_melo-2023-c3m/da_cunha_melo-2023-c3m-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/da_cunha_melo-2023-c3m/da_cunha_melo-2023-c3m-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/da_cunha_melo-2023-c3m/", "__class": "Publication" }, { "id": "duong-2023-ieo", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/154197", "title": "Investigating the Effect of Tumor Segmentations on Radiomics Analysis through Visual Analytics", "date": "2023", "abstract": "In recent years, radiomics has revolutionized the clinical assessment of tumors. By extracting quantitative features from medical images, this approach provides an objective analysis of tumorous tissues, which ultimately aids medical experts in decision-making processes regarding diagnosis and treatment. However, radiomics is highly dependent on the quality of tumor segmentation. Different tumor delineations resulting from intra- and interobserver variability may significantly affect the results of radiomics analysis. To our knowledge, no prior research has been conducted on the impact of interobserver differences in tumor segmentations on radiomic analytics.This thesis aims to investigate how different tumor segmentations influence radiomics analysis. We therefore design and propose the visual analytics tool ProSeRa (Probabilistic Segmentation on Radiomics), which provides visual analytics strategies for exploring the impact of probabilistic tumor segmentation on radiomics. We empower the users to examine the results of our radiomics analysis with respect to clinical data based on segmentation accuracy thresholds, which we calculate based on the observers’ agreement. We provide ways to explore and analyze the radiomics data using, among others, dimensionality reduction algorithms and cluster analysis mechanisms in conjunction with effective and expressive visualizations. ProSeRa facilitates the assessment of the robustness of the radiomics analysis and supports the exploration of the impact of segmentation on the analysis. Based on the evaluation of our results, we conclude that, as anticipated, variability intumor segmentations considerably influences the radiomics analysis results. The impactwas especially prominent in the cluster analysis, which provided different outcomes fordifferent segmentation accuracy thresholds. Thereby, we detected additional variables, such as the overall tumor stage, being crucial for grouping patients into clusters.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 462, "image_height": 420, "name": "duong-2023-ieo-.JPG", "type": "image/jpeg", "size": 57291, "path": "Publication:duong-2023-ieo", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/duong-2023-ieo/duong-2023-ieo-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/duong-2023-ieo/duong-2023-ieo-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5232 ], "doi": "10.34726/hss.2023.99620", "open_access": "yes", "pages": "97", "supervisor": [ 1410 ], "research_areas": [], "keywords": [ "Visual Analytics", "Radiomics", "Tumor Segmentation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 462, "image_height": 420, "name": "duong-2023-ieo-.JPG", "type": "image/jpeg", "size": 57291, "path": "Publication:duong-2023-ieo", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/duong-2023-ieo/duong-2023-ieo-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/duong-2023-ieo/duong-2023-ieo-:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "duong-2023-ieo-thesis.pdf", "type": "application/pdf", "size": 4839186, "path": "Publication:duong-2023-ieo", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/duong-2023-ieo/duong-2023-ieo-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/duong-2023-ieo/duong-2023-ieo-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/duong-2023-ieo/", "__class": "Publication" }, { "id": "el-sherbiny-2023-vat", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/177289", "title": "Visual Analytics to Support Correlative Exploration and Sensemaking in Radiogenomics Analysis", "date": "2023", "abstract": "Radiogenomics refers to the combined study of imaging-derived features, called radiomics and gene sequencing data, called genomics. Challenges in the analysis of radiogenomic data include the size, heterogeneity, and complexity of the datasets. These challenges make the analysis of the available information space tedious for cancer experts and hinder the exploration and sensemaking of patient information. This is further hampered when additional clinical information needs to be included in the analyses. Visual Analytics (VA) combines automated analysis techniques, such as machine learning or statistics, together with interactive visual interfaces. It allows users to gain insights into complex data and make effective decisions. In the context of radiogenomics analysis with respect to clinical data, VA approaches offer promising directions in tumor profiling. However, VA approaches that bridge radiogenomic and clinical data in an interactive and flexible visual framework have not been investigated before. In this work, we enable the integrated exploration and analysis of radiogenomic data and clinical information for knowledge discovery and hypothesis assessment in a large cohort of prostate cancer patients. We handle missingness in the data through imputation techniques and apply unsupervised machine learning for the dimensionality reduction and clustering of the data to facilitate data handling and visualization. As a result, we present an interactive visual interface for two target audiences: cancer experts and biomedical data scientists. Our framework enables cancer experts to gain insights into the data by revealing new patterns or correlations in the datasets. It allows them to interactively assess and refine any hypothesis in mind for the underlying datasets. For biomedical data scientists, our framework offers the possibility to understand the analysis components and interactively explore their impact on the outcome. We evaluate the unsupervised machine learning models through similarity measures such as the silhouette coefficient. To assess the usability of the framework, we perform usage scenarios that we confirm by our cancer experts. The feedback from our domain experts reveals that our framework is a suitable and flexible technique to gain insights into large and heterogenous radiogenomic data with respect to clinical data. It promotes knowledge discovery as well as hypothesis creation, assessment, and refinement. Interacting with the different visualization and analysis components enhances the understanding of the data and the resulting visual representations. Our approach incorporates the integration of interactive visualization and automated analysis components. It supports our collaborating domain experts at the Medical University of Vienna to obtain new insights into their data, while investigating hypotheses at hand.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5276 ], "doi": "10.34726/hss.2023.102442", "open_access": "yes", "pages": "136", "supervisor": [ 1410 ], "research_areas": [], "keywords": [ "Visual Analytics", "Big Data", "Radiomics", "Genomics", "Cancer" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "el-sherbiny-2023-vat-thesis.pdf", "type": "application/pdf", "size": 5569898, "path": "Publication:el-sherbiny-2023-vat", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/el-sherbiny-2023-vat/el-sherbiny-2023-vat-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/el-sherbiny-2023-vat/el-sherbiny-2023-vat-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/el-sherbiny-2023-vat/", "__class": "Publication" }, { "id": "Essler2022", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Web-Based Flood Map Visualization", "date": "2022-12-08", "abstract": "Floods cause many deaths as well as lots of financial damage. Flood maps encode areas susceptibility for floods and can be used in several ways that reduce loss from floods - they are already in use for determining in which areas it is safe to build new buildings. Making them available online might increase public awareness of the risks associated with floods\nin specific areas. Additionally, maps are easier to reach once they are available on the internet. In the course of this thesis, the current status quo concerning available online\nflood maps is determined by research, and a React-based web map component to visualize flood maps was developed for the web client of a flood simulation and visualization system.\nThe map represents floods by polygons. The vertices of the polygons are provided by the simulation system, and are then rendered over the map on the web client. In the future, the developed component could include further interactivity that allows more correspondence with the simulation system, so that it could edit the simulations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 800, "image_height": 674, "name": "Essler2022-.JPG", "type": "image/jpeg", "size": 116567, "path": "Publication:Essler2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/Essler2022-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/Essler2022-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5224 ], "date_end": "2022-12-08", "date_start": "2022-07-05", "matrikelnr": "01328166", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 800, "image_height": 674, "name": "Essler2022-.JPG", "type": "image/jpeg", "size": 116567, "path": "Publication:Essler2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/Essler2022-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/Essler2022-:thumb{{size}}.png" }, { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Essler2022-Bachelor thesis.pdf", "type": "application/pdf", "size": 21606926, "path": "Publication:Essler2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/Essler2022-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/Essler2022-Bachelor thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/", "__class": "Publication" }, { "id": "hladky-2022-QS", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/152307", "title": "QuadStream: A Quad-Based Scene Streaming Architecture for Novel Viewpoint Reconstruction", "date": "2022-12", "abstract": "Cloud rendering is attractive when targeting thin client devices such as phones or VR/AR headsets, or any situation where a high-end GPU is not available due to thermal or power constraints. However, it introduces the challenge of streaming rendered data over a network in a manner that is robust to latency and potential dropouts. Current approaches range from streaming transmitted video and correcting it on the client---which fails in the presence of disocclusion events---to solutions where the server sends geometry and all rendering is performed on the client. To balance the competing goals of disocclusion robustness and minimal client workload, we introduce QuadStream, a new streaming technique that reduces motion-to-photon latency by allowing clients to render novel views on the fly and is robust against disocclusions. Our key idea is to transmit an approximate geometric scene representation to the client which is independent of the source geometry and can render both the current view frame and nearby adjacent views. Motivated by traditional macroblock approaches to video codec design, we decompose the scene seen from positions in a view cell into a series of view-aligned quads from multiple views, or QuadProxies. By operating on a rasterized G-Buffer, our approach is independent of the representation used for the scene itself. Our technical contributions are an efficient parallel quad generation, merging, and packing strategy for proxy views that cover potential client movement in a scene; a packing and encoding strategy allowing masked quads with depth information to be transmitted as a frame coherent stream; and an efficient rendering approach that takes advantage of modern hardware capabilities to turn our QuadStream representation into complete novel views on thin clients. According to our experiments, our approach achieves superior quality compared both to streaming methods that rely on simple video data and to geometry-based streaming.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 500, "image_height": 281, "name": "hladky-2022-QS-teaser.jpg", "type": "image/jpeg", "size": 176021, "path": "Publication:hladky-2022-QS", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/hladky-2022-QS/hladky-2022-QS-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/hladky-2022-QS/hladky-2022-QS-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date,location,lecturer,event,date_to,date_from", "repositum_presentation_id": null, "authors": [ 5184, 5185, 5186, 1650, 312, 1662 ], "cfp": { "name": "cfp.pdf", "type": "application/pdf", "error": "0", "size": "737990", "orig_name": "cfp.pdf", "ext": "pdf" }, "date_from": "2022-12-06", "date_to": "2022-12-09", "event": "Siggraph Asia", "issn": "1557-7368", "journal": "ACM Transactions on Graphics", "lecturer": [ 5184 ], "location": "Daegu", "number": "6", "publisher": "ASSOC COMPUTING MACHINERY", "volume": "41", "research_areas": [ "Geometry", "Rendering", "VR" ], "keywords": [ "streaming", "real-time rendering", "virtual reality" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 500, "image_height": 281, "name": "hladky-2022-QS-teaser.jpg", "type": "image/jpeg", "size": 176021, "path": "Publication:hladky-2022-QS", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/hladky-2022-QS/hladky-2022-QS-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/hladky-2022-QS/hladky-2022-QS-teaser:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/hladky-2022-QS/", "__class": "Publication" }, { "id": "Stritzel2022_thesis", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/80544", "title": "Predicting and Communicating Outcome of COVID-19 Hospitalizations with Medical Image and Clinical Data", "date": "2022-10-12", "abstract": "We propose a visual analytics framework to support the prediction, analysis, and communication of COVID-19 hospitalization outcomes. Although several real-world data sets about COVID-19 are openly available, most of the current research focuses on the detection of the disease through chest X-ray images. Until now, no previous work exists on combining insights from medical image data with knowledge extracted from clinical data, predicting the likelihood of an intensive care unit (ICU) visit, ventilation, or decease. Moreover, available literature has not yet focused on communicating such results to the broader society. To support the prediction, analysis, and communication of the outcomes of COVID-19 hospitalizations on the basis of a publicly available data set comprising both electronic health data and medical image data Saltz et al. [2021], we conduct the following three steps: (1) automated segmentation of the available X-ray images and processing of clinical data, (2) development of a model for the prediction of disease outcomes and a comparison to state-of-the-art prediction scores for both data sources, i.e., medical images and clinical data, and (3) the communication of outcomes to three different user groups (namely, medical and clinical experts, experts in data analytics, and the general population) through an interactive dashboard. The dashboard is designed to enable users to solve user-specific tasks, also defined in this work. Preliminary results indicate that the prediction results are improved by combining medical image data with clinical data, while analysis and communication of hospitalization outcomes prove to be a wide and significant topic in the context of COVID-19 prevention.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 623, "image_height": 168, "name": "Stritzel2022_thesis-.JPG", "type": "image/jpeg", "size": 21026, "path": "Publication:Stritzel2022_thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Stritzel2022_thesis/Stritzel2022_thesis-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Stritzel2022_thesis/Stritzel2022_thesis-:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 5188 ], "date_end": "2022", "date_start": "2021", "diploma_examina": "2022-10-12", "doi": "10.34726/hss.2022.97880", "matrikelnr": "11920598", "open_access": "yes", "pages": "163", "supervisor": [ 1410 ], "research_areas": [ "MedVis" ], "keywords": [ "Visual Analytics", "Automatic Image Segmentation", "COVID-19", "Life and medical sciences", "Human-centered computing" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 623, "image_height": 168, "name": "Stritzel2022_thesis-.JPG", "type": "image/jpeg", "size": 21026, "path": "Publication:Stritzel2022_thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Stritzel2022_thesis/Stritzel2022_thesis-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Stritzel2022_thesis/Stritzel2022_thesis-:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Stritzel2022_thesis-Master thesis.pdf", "type": "application/pdf", "size": 6616527, "path": "Publication:Stritzel2022_thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Stritzel2022_thesis/Stritzel2022_thesis-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Stritzel2022_thesis/Stritzel2022_thesis-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Stritzel2022_thesis-Poster.pdf", "type": "application/pdf", "size": 1398103, "path": "Publication:Stritzel2022_thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Stritzel2022_thesis/Stritzel2022_thesis-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Stritzel2022_thesis/Stritzel2022_thesis-Poster:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Stritzel2022_thesis/", "__class": "Publication" }, { "id": "rasoulzadeh-2022-strokes2surface", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/153311", "title": "Strokes2Surface: Recovering Curve Networks from 4D Architectural Design Sketches for Shape Inference", "date": "2022-10-12", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5233, 193, 1799 ], "date_from": "2022-10-10", "date_to": "2022-10-12", "event": "Advance AEC Autumn School", "lecturer": [ 5233 ], "research_areas": [], "keywords": [ "Architectural Geometry", "Concept Design", "Digital Modeling", "Machine Learning", "Curve Networks", "Shape Inference" ], "weblinks": [], "files": [], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/rasoulzadeh-2022-strokes2surface/", "__class": "Publication" }, { "id": "vogel2022", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/158486", "title": "Prediction of Accelerated Knee Osteoarthritis Using a Convolutional Neural Network", "date": "2022-10-10", "abstract": "Osteoarthritis (OA) is a slowly degenerative joint disease, with cartilage loss as one of the most characteristic symptoms accompanied by pain and functional disability. The knee region is the most affected area. 22.9% of the worldwide population over the age of 40 were affected in 2020 by Knee Osteoarthritis (KOA). Besides normal KOA, which develops over multiple years, the accelerated form of KOA (AKOA) develops between 1 and 4 years and is accompanied by increased pain and movement restrictions as well as a higher chance of obtaining a knee replacement. The development of AKOA is not yet predictable on the basis of a single X-ray image because there is no apparent optical difference between the baseline X-ray of KOA and AKOA. Since Convolutional Neural Networks (CNN) can identify image structures that a human eye can not see, I want to realise an early diagnosis of AKOA by using a Convolutional Neural Network (CNN) as a classifier between slow- and fast-progressing KOA.For this purpose, I used the data from three different studies, including a knee X-ray, Body Mass Index (BMI), age, gender, Western Ontario and McMaster Universities Arthritis Index (WOMAC) scores, hip symptoms, knee medication injection and Kellgren- Lawrence (KL)-grade, as input for binary classification models. I defined AKOA once with Joint Space Narrowing (JSN) > 10%/ 2 years and once with JSN > 20%/ 2 years and performed different experiments in order to find the best method to predict AKOA. I trained the numeric data only on an Extreme Gradient Boosting (XGBoost) model. Here I achieved the highest performance of an Area Under the Curve (AUC) of 0.6616 when including the Osteoarthritis Research Society International (OARSI) score of sclerosis and osteophytosis to the numeric input data (20% JSN/ 2 years). To use image data only and the combination of both, I created different CNN models, whose architecture is based on a Residual Network (ResNet) 50 model provided by Image Biopsy Lab (IBLab). The CNN model, which I trained only with image data, yielded an AUC of 56.26% (10% JSN/ 2 years). Using the image data complemented with the most important numeric features (gender, BMI, contralateral KOA, KL-grade) as input, I achieved an AUC of 68.78% (20% JSN/ 2 years). Comparable results, but obtained with other class definitions than in this work, were higher and yielded AUCs of around 0.8.These results show that it is possible to make a risk assessment about the development of AKOA using the baseline X-ray image, gender, BMI, the KL-grade and the information about contralateral KOA. Until now, radiologists are not capable of predicting fast-progressing KOA. Hence, these networks have a great potential to be used as AKOA prediction tools.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 635, "image_height": 223, "name": "vogel2022-.JPG", "type": "image/jpeg", "size": 27042, "path": "Publication:vogel2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/vogel2022/vogel2022-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/vogel2022/vogel2022-:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 5200 ], "date_end": "2022", "date_start": "2021", "diploma_examina": "2022-10-10", "matrikelnr": "11927170", "pages": "148", "supervisor": [ 1410 ], "research_areas": [ "MedVis" ], "keywords": [ "Convolutional Neural Network", "Prediction", "Knee Osteoarthritis" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 635, "image_height": 223, "name": "vogel2022-.JPG", "type": "image/jpeg", "size": 27042, "path": "Publication:vogel2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/vogel2022/vogel2022-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/vogel2022/vogel2022-:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "vogel2022-Master thesis.pdf", "type": "application/pdf", "size": 11910174, "path": "Publication:vogel2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/vogel2022/vogel2022-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/vogel2022/vogel2022-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "vogel2022-poster.pdf", "type": "application/pdf", "size": 499092, "path": "Publication:vogel2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/vogel2022/vogel2022-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/vogel2022/vogel2022-poster:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/vogel2022/", "__class": "Publication" }, { "id": "gilmutdinov-2022-aomlbwug", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/139740", "title": "Assessment of Material Layers in Building Walls Using GeoRadar", "date": "2022-10-09", "abstract": "Assessing the structure of a building with non-invasive methods is an important problem. One of the possible approaches is to use GeoRadar to examine wall structures by analyzing the data obtained from the scans. However, so far, the obtained data have to be assessed manually, relying on the experience of the user in interpreting GPR radargrams. We propose a data-driven approach to evaluate the material composition of a wall from its GPR radargrams. In order to generate training data, we use gprMax to model the scanning process. Using simulation data, we use a convolutional neural network to predict the thicknesses and dielectric properties of walls per layer. We evaluate the generalization abilities of the trained model on the data collected from real buildings.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 825, "image_height": 1335, "name": "gilmutdinov-2022-aomlbwug-image.png", "type": "image/png", "size": 104195, "path": "Publication:gilmutdinov-2022-aomlbwug", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/gilmutdinov-2022-aomlbwug/gilmutdinov-2022-aomlbwug-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/gilmutdinov-2022-aomlbwug/gilmutdinov-2022-aomlbwug-image:thumb{{size}}.png" }, "sync_repositum_override": "projects,pages_from,event", "repositum_presentation_id": null, "authors": [ 1800, 5197, 5198, 194, 193 ], "doi": "10.3390/rs14195038", "event": "Radar Techniques for Structures Characterization and Monitoring", "issn": "2072-4292", "journal": "Remote Sensing", "number": "19", "open_access": "yes", "pages": "12", "pages_from": "5038", "publisher": "MDPI", "volume": "14", "research_areas": [ "Rendering" ], "keywords": [ "deep learning", "ground-penetrating radar", "non-destructive-evaluation" ], "weblinks": [ { "href": "https://www.mdpi.com/2072-4292/14/19/5038", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 825, "image_height": 1335, "name": "gilmutdinov-2022-aomlbwug-image.png", "type": "image/png", "size": 104195, "path": "Publication:gilmutdinov-2022-aomlbwug", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/gilmutdinov-2022-aomlbwug/gilmutdinov-2022-aomlbwug-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/gilmutdinov-2022-aomlbwug/gilmutdinov-2022-aomlbwug-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "gilmutdinov-2022-aomlbwug-paper.pdf", "type": "application/pdf", "size": 739481, "path": "Publication:gilmutdinov-2022-aomlbwug", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/gilmutdinov-2022-aomlbwug/gilmutdinov-2022-aomlbwug-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/gilmutdinov-2022-aomlbwug/gilmutdinov-2022-aomlbwug-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4307" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/gilmutdinov-2022-aomlbwug/", "__class": "Publication" }, { "id": "fernandez-2022-ergoexplorer", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/175616", "title": "ErgoExplorer: Interactive Ergonomic Risk Assessment from Video Collections", "date": "2022-10-05", "abstract": "Ergonomic risk assessment is now, due to an increased awareness, carried out more often than in the past. The\nconventional risk assessment evaluation, based on expert-assisted observation of the workplaces and manually filling in score tables, is\nstill predominant. Data analysis is usually done with a focus on critical moments, although without the support of contextual information\nand changes over time. In this paper we introduce ErgoExplorer, a system for the interactive visual analysis of risk assessment data.\nIn contrast to the current practice, we focus on data that span across multiple actions and multiple workers while keeping all contextual\ninformation. Data is automatically extracted from video streams. Based on carefully investigated analysis tasks, we introduce new\nviews and their corresponding interactions. These views also incorporate domain-specific score tables to guarantee an easy adoption\nby domain experts. All views are integrated into ErgoExplorer, which relies on coordinated multiple views to facilitate analysis through\ninteraction. ErgoExplorer makes it possible for the first time to examine complex relationships between risk assessments of individual\nbody parts over long sessions that span multiple operations. The newly introduced approach supports analysis and exploration at\nseveral levels of detail, ranging from a general overview, down to inspecting individual frames in the video stream, if necessary. We\nillustrate the usefulness of the newly proposed approach applying it to several datasets.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 644, "image_height": 355, "name": "fernandez-2022-ergoexplorer-Image.JPG", "type": "image/jpeg", "size": 53400, "path": "Publication:fernandez-2022-ergoexplorer", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/fernandez-2022-ergoexplorer/fernandez-2022-ergoexplorer-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/fernandez-2022-ergoexplorer/fernandez-2022-ergoexplorer-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5242, 1359, 235, 166, 1122 ], "doi": "10.1109/TVCG.2022.3209432", "first_published": "2022", "issn": "1941-0506", "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "1", "open_access": "yes", "pages": "10", "pages_from": "43", "pages_to": "52", "publisher": "Institute of Electrical and Electronics Engineers (IEEE)", "volume": "29", "research_areas": [], "keywords": [ "Ergonomic assessment", "visual analysis", "workplace safety" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 644, "image_height": 355, "name": "fernandez-2022-ergoexplorer-Image.JPG", "type": "image/jpeg", "size": 53400, "path": "Publication:fernandez-2022-ergoexplorer", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/fernandez-2022-ergoexplorer/fernandez-2022-ergoexplorer-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/fernandez-2022-ergoexplorer/fernandez-2022-ergoexplorer-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Journal", "main_file": false, "use_in_gallery": false, "access": "public", "name": "fernandez-2022-ergoexplorer-Journal.pdf", "type": "application/pdf", "size": 11062275, "path": "Publication:fernandez-2022-ergoexplorer", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/fernandez-2022-ergoexplorer/fernandez-2022-ergoexplorer-Journal.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/fernandez-2022-ergoexplorer/fernandez-2022-ergoexplorer-Journal:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/fernandez-2022-ergoexplorer/", "__class": "Publication" }, { "id": "marin-2022-sigdt", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/175713", "title": " SIGDT: 2D Curve Reconstruction", "date": "2022-10-05", "abstract": "Determining connectivity between points and reconstructing their shape boundaries are long-standing problems in computer graphics. One possible approach to solve these problems is to use a proximity graph. We propose a new proximity graph computed by intersecting the to-date rarely used proximity-based graph called spheres-of-influence graph (SIG) with the Delaunay triangulation (DT). We prove that the resulting graph, which we name SIGDT, contains the piece-wise linear reconstruction for a set of unstructured points in the plane for a sampling condition superseding current bounds and capturing well practical point sets' properties. As an application, we apply a dual of boundary adjustment steps from the CONNECT2D algorithm to remove the redundant edges. We show that the resulting algorithm SIG-CONNECT2D yields the best reconstruction accuracy compared to state-of-the-art algorithms from a recent comprehensive benchmark, and the method offers the potential for further improvements, e.g., for surface reconstruction.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 7066, "image_height": 3125, "name": "marin-2022-sigdt-Teaser.png", "type": "image/png", "size": 457323, "path": "Publication:marin-2022-sigdt", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sigdt/marin-2022-sigdt-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sigdt/marin-2022-sigdt-Teaser:thumb{{size}}.png" }, "sync_repositum_override": "issn", "repositum_presentation_id": null, "authors": [ 1848, 948, 193 ], "booktitle": "Pacific Graphics 2022", "cfp": { "name": "Pacific Graphics 2022 - Call for papers.pdf", "type": "application/pdf", "error": "0", "size": "30666", "orig_name": "Pacific Graphics 2022 - Call for papers.pdf", "ext": "pdf" }, "date_from": "2022-10-05", "date_to": "2022-10-08", "doi": "10.1111/cgf.14654", "event": "30th Pacific Conference on Computer Graphics and Applications, Pacific Graphics 2022", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1848 ], "location": "Kyoto, Japan", "number": "7", "open_access": "yes", "pages": "12", "pages_from": "25", "pages_to": "36", "publisher": "The Eurographics Association and John Wiley & Sons Ltd.", "volume": "41", "research_areas": [ "Geometry" ], "keywords": [ "Curve reconstruction", "Spheres-of-influence graph" ], "weblinks": [ { "href": "https://diglib.eg.org/handle/10.1111/cgf14654", "caption": "Paper", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "marin-2022-sigdt-Paper.pdf", "type": "application/pdf", "size": 2877751, "path": "Publication:marin-2022-sigdt", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sigdt/marin-2022-sigdt-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sigdt/marin-2022-sigdt-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 7066, "image_height": 3125, "name": "marin-2022-sigdt-Teaser.png", "type": "image/png", "size": 457323, "path": "Publication:marin-2022-sigdt", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sigdt/marin-2022-sigdt-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sigdt/marin-2022-sigdt-Teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sigdt/", "__class": "Publication" }, { "id": "Rait2022", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Fast Radial Search for Progressive Photon Mapping", "date": "2022-10-01", "abstract": "Global illumination is critical to realistic rendering and as such many different algorithms were developed to solve it, one of which – photon mapping – was designed to efficiently render\ncaustics and indirect lighting. It achieves this by saving photons in a data structure during the first step and then using the result by collecting photons near specific search origins. This step is very time intensive due to the sheer amount of searches performed each iteration. In this paper, we will compare the performance of two spatial data structures and parallelized search algorithms written in CUDA for the GPU by execution time and memory usage for the photon-gathering use case. The algorithms were implemented in an open-source progressive photon mapping project [11] and are using parts of S. Reinwald’s fast-KNN as a basis [9]. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 404, "image_height": 403, "name": "Rait2022-Image.JPG", "type": "image/jpeg", "size": 18947, "path": "Publication:Rait2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Rait2022/Rait2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Rait2022/Rait2022-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1849 ], "date_end": "2022-10-01", "date_start": "2022-02-12", "matrikelnr": "11777774", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Rait2022-Bachelor thesis.pdf", "type": "application/pdf", "size": 13330544, "path": "Publication:Rait2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Rait2022/Rait2022-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Rait2022/Rait2022-Bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 404, "image_height": 403, "name": "Rait2022-Image.JPG", "type": "image/jpeg", "size": 18947, "path": "Publication:Rait2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Rait2022/Rait2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Rait2022/Rait2022-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Rait2022/", "__class": "Publication" }, { "id": "sMolBoxes_2022", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/81180", "title": "sMolBoxes: Dataflow Model for Molecular Dynamics Exploration", "date": "2022-10", "abstract": "We present sMolBoxes, a dataflow representation for the exploration and analysis of long molecular dynamics (MD) simulations. When MD simulations reach millions of snapshots, a frame-by-frame observation is not feasible anymore. Thus, biochemists rely to a large extent only on quantitative analysis of geometric and physico-chemical properties. However, the usage of abstract methods to study inherently spatial data hinders the exploration and poses a considerable workload. sMolBoxes link quantitative analysis of a user-defined set of properties with interactive 3D visualizations. They enable visual explanations of molecular behaviors, which lead to an efficient discovery of biochemically significant parts of the MD simulation. sMolBoxes follow a node-based model for flexible definition, combination, and immediate evaluation of properties to be investigated. Progressive analytics enable fluid switching between multiple properties, which facilitates hypothesis generation. Each sMolBox provides quick insight to an observed property or function, available in more detail in the bigBox View. The case studies illustrate that even with relatively few sMolBoxes, it is possible to express complex analytical tasks, and their use in exploratory analysis is perceived as more efficient than traditional scripting-based methods.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1604, "image_height": 942, "name": "sMolBoxes_2022-teaser.png", "type": "image/png", "size": 417094, "path": "Publication:sMolBoxes_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/sMolBoxes_2022/sMolBoxes_2022-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/sMolBoxes_2022/sMolBoxes_2022-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5182, 1110, 1733, 1498, 5183, 1248, 1254 ], "date_from": "2022-10", "date_to": "2022-10", "doi": "10.1109/TVCG.2022.3209411", "event": "IEEE VIS 2022", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 5182 ], "pages": "10", "pages_from": "1", "pages_to": "10", "publisher": "Institute of Electrical and Electronics Engineers (IEEE)", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [ "Molecular Dynamics", "structure", "node-based visualization", "progressive analytics", "proteins", "Analytical models", "Biological system modeling", "Three-dimensional displays", "Computational modeling", "Task analysis", "Animation" ], "weblinks": [ { "href": "https://arxiv.org/abs/2209.11771", "caption": "arxiv", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1604, "image_height": 942, "name": "sMolBoxes_2022-teaser.png", "type": "image/png", "size": 417094, "path": "Publication:sMolBoxes_2022", "url": 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"https://www.cg.tuwien.ac.at/research/publications/2022/eschner-blur-2022/eschner-blur-2022-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/eschner-blur-2022/eschner-blur-2022-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1653 ], "date_end": "2022-10", "date_start": "2021-11", "matrikelnr": "01633402", "supervisor": [ 1110, 935 ], "research_areas": [ "BioVis", "Perception" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "project report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eschner-blur-2022-project report.pdf", "type": "application/pdf", "size": 3469035, "path": "Publication:eschner-blur-2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/eschner-blur-2022/eschner-blur-2022-project report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/eschner-blur-2022/eschner-blur-2022-project report:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1325, "image_height": 789, "name": "eschner-blur-2022-teaser.png", "type": "image/png", "size": 472805, "path": "Publication:eschner-blur-2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/eschner-blur-2022/eschner-blur-2022-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/eschner-blur-2022/eschner-blur-2022-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/eschner-blur-2022/", "__class": "Publication" }, { "id": "borondy2022", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Understanding the impact of statistical and machine learning choices on predictive models for radiotherapy.", "date": "2022-09-21", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 384, "image_height": 494, "name": "borondy2022-.JPG", "type": "image/jpeg", "size": 34439, "path": "Publication:borondy2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/borondy2022/borondy2022-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/borondy2022/borondy2022-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5187, 1733, 1410 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2022)", "cfp": { "name": "Full, Short & Survey Papers.pdf", "type": "application/pdf", "error": "0", "size": "195197", "orig_name": "Full, Short & Survey Papers.pdf", "ext": "pdf" }, "event": "EG VCBM 2022", "lecturer": [ 1733 ], "pages_from": "65", "pages_to": "69", "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [ { "href": "https://diglib.eg.org/handle/10.2312/vcbm20221188", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 384, "image_height": 494, "name": "borondy2022-.JPG", "type": "image/jpeg", "size": 34439, "path": "Publication:borondy2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/borondy2022/borondy2022-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/borondy2022/borondy2022-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": 409, "preview_image_height": 458, "name": "borondy2022-paper.pdf", "type": "application/pdf", "size": 5235751, "path": "Publication:borondy2022", "preview_name": "borondy2022-paper:preview.PNG", "preview_type": "image/png", "preview_size": 67566, "url": "https://www.cg.tuwien.ac.at/research/publications/2022/borondy2022/borondy2022-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/borondy2022/borondy2022-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/borondy2022/", "__class": "Publication" }, { "id": "magg2022", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/177098", "title": "Visual Analytics to Assess Deep Learning Models for Cross-Modal Brain Tumor Segmentation", "date": "2022-09-21", "abstract": "Accurate delineations of anatomically relevant structures are required for cancer treatment planning. Despite its accuracy, manual labeling is time-consuming and tedious-hence, the potential of automatic approaches, such as deep learning models, is being investigated. A promising trend in deep learning tumor segmentation is cross-modal domain adaptation, where knowledge learned on one source distribution (e.g., one modality) is transferred to another distribution. Yet, artificial intelligence (AI) engineers developing such models, need to thoroughly assess the robustness of their approaches, which demands a deep understanding of the model(s) behavior. In this paper, we propose a web-based visual analytics application that supports the visual assessment of the predictive performance of deep learning-based models built for cross-modal brain tumor segmentation. Our application supports the multi-level comparison of multiple models drilling from entire cohorts of patients down to individual slices, facilitates the analysis of the relationship between image-derived features and model performance, and enables the comparative exploration of the predictive outcomes of the models. All this is realized in an interactive interface with multiple linked views. We present three use cases, analyzing differences in deep learning segmentation approaches, the influence of the tumor size, and the relationship of other data set characteristics to the performance. From these scenarios, we discovered that the tumor size, i.e., both volumetric in 3D data and pixel count in 2D data, highly affects the model performance, as samples with small tumors often yield poorer results. Our approach is able to reveal the best algorithms and their optimal configurations to support AI engineers in obtaining more insights for the development of their segmentation models.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 628, "image_height": 188, "name": "magg2022-.JPG", "type": "image/jpeg", "size": 39077, "path": "Publication:magg2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/magg2022/magg2022-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/magg2022/magg2022-:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1860, 1410 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM 2022)", "date_from": "2022-09-22", "date_to": "2022-09-23", "doi": 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"https://www.cg.tuwien.ac.at/research/publications/2022/magg2022/magg2022-supplementarty video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/magg2022/magg2022-supplementarty video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2022/magg2022/magg2022-supplementarty video:video.mp4" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/magg2022/", "__class": "Publication" }, { "id": "stritzel2022", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Predicting, Analyzing and Communicating Outcomes of COVID-19 Hospitalizations with Medical Images and Clinical Data", "date": "2022-09-21", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 479, "image_height": 175, 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"https://www.cg.tuwien.ac.at/research/publications/2022/stritzel2022/stritzel2022-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/stritzel2022/stritzel2022-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "supplementarty images ", "main_file": false, "use_in_gallery": false, "access": "public", "name": "stritzel2022-supplementarty images .pdf", "type": "application/pdf", "size": 364096, "path": "Publication:stritzel2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/stritzel2022/stritzel2022-supplementarty images .pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/stritzel2022/stritzel2022-supplementarty images :thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/stritzel2022/", "__class": "Publication" }, { "id": "groeller-2022-iva", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/153771", "title": "Interactive Visual Analytics and Modelitics", "date": "2022-09-19", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2022-09-19", "date_to": "2022-09-19", "event": "Interactive Visual Analytics and Modelitics", "lecturer": [ 166 ], "location": "Brno", "research_areas": [], "keywords": [ "Interactive Visual Analytics and Modelitics" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/groeller-2022-iva/", "__class": "Publication" }, { "id": "Komon2022", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Distributed Surface Reconstruction", "date": "2022-09-15", "abstract": "As the accessibility of high-quality 3D scans increases, processing the scanned data becomes more challenging. 3D scanners obtain very large, unstructured sets of points,\nso called point clouds. To be able to use the data in a meaningful way it is necessary to reconstruct the surface of the scanned object from the point cloud, resulting in a 3D\nmodel. This is called the problem of 3D surface reconstruction. Processing very large point clouds (in a reasonable time) is necessary in order to keep up with ever increasing scanning technology.\nIn this thesis, we construct, implement and evaluate a distributed surface reconstruction algorithm called DistributedBallFilter. It is a distributed-memory parallel version of the recently developed BallFilter algorithm [Ohr22]. Firstly, the input point cloud is subdivided into chunks called tiles using a 3D grid. To ensure the correctness of the results, tiles are slightly overlapping on their borders. After splitting the input, each tile can be processed independently from each other. The tiles are assigned and distributed to a number of p processes. The assignment of tiles to processes is calculated using longest-processing-time-first list scheduling. Then all processes reconstruct the 3D surface of all their assigned tiles in parallel. After all tiles are processed, the result is merged back together into a single 3D model, containing the reconstructed surface of the entire input point cloud. The asymptotic run time complexity is O(n log n) in the worst case (same as BallFilter) and O(n + n log n p ) in the best case, depending on the distribution\nof points within the input data.\nFurthermore, we implemented the algorithm in C++. The input splitting is run on a GPU using CUDA and discussed thoroughly in its dedicated paper [Bru22]. For each tile a single file is output, which is communicated to each process via a distributed file system. The MPI standard is used for sending all local results to a single process, which is also responsible for merging and outputting the final 3D model.\nFinally we executed the algorithm on the VSC3+ cluster, a high-performance cluster based in Vienna. It was run against several test data sets. We visualize the results and analysed the behavior of the running time when scaling the number of processes as well as the input size. In our tests, DistributedBallFilter managed to be up to around\nfive times faster than BallFilter depending on the number of nodes used and the input size. The largest observed speedup was by a factor of 5.89 compared to BallFilter.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 400, "image_height": 231, "name": "Komon2022-Image.JPG", "type": "image/jpeg", "size": 31238, "path": "Publication:Komon2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Komon2022/Komon2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Komon2022/Komon2022-Image:thumb{{size}}.png" }, "sync_repositum_override": "ALL", "repositum_presentation_id": null, "authors": [ 1859 ], "date_end": "2022-10-15", "date_start": "2022-01-12", "lecturer": [ 1848 ], "matrikelnr": "11808210", "pages": "2", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Komon2022-Bachelor thesis.pdf", "type": "application/pdf", "size": 9432212, "path": "Publication:Komon2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Komon2022/Komon2022-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Komon2022/Komon2022-Bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 400, "image_height": 231, "name": "Komon2022-Image.JPG", "type": "image/jpeg", "size": 31238, "path": "Publication:Komon2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Komon2022/Komon2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Komon2022/Komon2022-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Komon2022/", "__class": "Publication" }, { "id": "elagrod_ahmed-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Immersive Redesign", "date": "2022-09-05", "abstract": "With scanning technologies and the processing power of computers increasing it is getting easier\nto scan the surrounding area and upload a 3D model of it. Nowadays mobile phones and drones\nare capable of doing that. However, the results most likely are not as good as dedicated scanners.\nTo offer people an option to explore their scanned objects my colleague Manuel Keilman and\nI wrote a software with which users can upload multiple point clouds. Those point clouds can\nthen be modified by adding, deleting, or moving parts of it. Our primary target is point clouds\nof street scenes. We selected an existing classification algorithm called GraND-Net [13] to\nidentify objects of the scene. Since the classification algorithm does not cluster the classes a\nseparate algorithm for that was needed. That is why we use DBScan [15] in order to distinguish\ndifferent objects of the same class. Both steps are done before starting the application since they\nonly have to be done once. The benefit of grouping points with similar features is that users\ndo not have to manually select everything which improves the usability of our software. After\nclassifying as well as clustering users can upload their point clouds and then select objects in\norder to modify them. Mistakes tend to happen which is why our software also offers users the\noption to manually classify whatever they want. All of that should make it easier for users to\nanalyze and modify their point clouds.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 556, "image_height": 213, "name": "elagrod_ahmed-baa-image.png", "type": "image/png", "size": 225625, "path": "Publication:elagrod_ahmed-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/elagrod_ahmed-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/elagrod_ahmed-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5287 ], "date_end": "2022-09-05", "date_start": "2022-01-15", "matrikelnr": "11811340", "supervisor": [ 193, 948 ], "research_areas": [ "Geometry" ], "keywords": [ "point clouds", "object detection", "editing" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 556, "image_height": 213, "name": "elagrod_ahmed-baa-image.png", "type": "image/png", "size": 225625, "path": "Publication:elagrod_ahmed-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/elagrod_ahmed-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/elagrod_ahmed-baa-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "elagrod_ahmed-baa-thesis.pdf", "type": "application/pdf", "size": 18887807, "path": "Publication:elagrod_ahmed-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/elagrod_ahmed-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/elagrod_ahmed-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/", "__class": "Publication" }, { "id": "Vucenovic_2022", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Differential Rendering for Computed Tomography Reconstruction", "date": "2022-09-04", "abstract": "The recently achieved differentiability of path-tracing algorithms, which are the standard for generating photo-realistic images, opens up optimization possibilities for the 3Dreconstruction of an object using images acquired by X-ray scans. The reconstruction is accomplished by ”inverting the rendering pipeline”, which in practice means obtaining 3D\nscene parameters, such as volumetric data, from 2D images. The images act as a reference in our algorithm, which is optimizing the scene parameters until the image acquired\nby our rendered scene minimally differs from the reference image. In this publication, we represent a proof-of-concept and early experiments for differential rendering for CT\nreconstruction. Our implementation is able to successfully reconstruct the geometry and volume of specimens, using only images acquired from a software-simulated X-ray scan. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 518, "image_height": 516, "name": "Vucenovic_2022-Image.JPG", "type": "image/jpeg", "size": 47156, "path": "Publication:Vucenovic_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vucenovic_2022/Vucenovic_2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vucenovic_2022/Vucenovic_2022-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5181 ], "date_end": "2022-09-04", "date_start": "2022-02-04", "matrikelnr": "01635282", "supervisor": [ 166 ], "research_areas": [ "Geometry" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Vucenovic_2022-Bachelor thesis.pdf", "type": "application/pdf", "size": 4027403, "path": "Publication:Vucenovic_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vucenovic_2022/Vucenovic_2022-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vucenovic_2022/Vucenovic_2022-Bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 518, "image_height": 516, "name": "Vucenovic_2022-Image.JPG", "type": "image/jpeg", "size": 47156, "path": "Publication:Vucenovic_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vucenovic_2022/Vucenovic_2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vucenovic_2022/Vucenovic_2022-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vucenovic_2022/", "__class": "Publication" }, { "id": "landauer-2022-kido", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Kido: a hardware-accelerated lighting planning software", "date": "2022-09", "abstract": "The human visual system allows us to perceive our environment by processing incoming light. This visual system enables us to make decisions based on the information or objects we see. Many tasks in our daily life require us to see our surroundings. Depending on the task, a well-illuminated environment will be beneficial to accomplish the given task. To properly design lighting environments, computer applications are used to simulate the distribution of light and test if the results meet the predefined requirements. The current workflow of state-of-the-art applications is sequential, where the user first plans a scene and then triggers the lighting simulation. The problem with this approach is that the user will have no insight into the resulting lighting conditions until the simulation has finished. Planning a lighting environment is an iterative process, where the user iteratively changes the scene till the plan meets the requirements. Reducing the time per iteration will also reduce the overall planning time and increase the planner’s productivity. This thesis presents a novel workflow by providing the user with intermediate results of the computed lighting conditions in the planning phase. We believe that this approach will help the user to plan lighting environments faster and more intuitively.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 742, "image_height": 659, "name": "landauer-2022-kido-Preview.jpg", "type": "image/jpeg", "size": 104565, "path": "Publication:landauer-2022-kido", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/landauer-2022-kido-Preview.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/landauer-2022-kido-Preview:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1888 ], "date_end": "2022-09-30", "date_start": "2021-08-05", "matrikelnr": "e11778912", "supervisor": [ 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 742, "image_height": 659, "name": "landauer-2022-kido-Preview.jpg", "type": "image/jpeg", "size": 104565, "path": "Publication:landauer-2022-kido", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/landauer-2022-kido-Preview.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/landauer-2022-kido-Preview:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "landauer-2022-kido-thesis.pdf", "type": "application/pdf", "size": 4566846, "path": "Publication:landauer-2022-kido", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/landauer-2022-kido-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/landauer-2022-kido-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/", "__class": "Publication" }, { "id": "wimmer-2022-acd", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/101881", "title": "Advanced Computational Design – digitale Methoden für die frühe Entwurfsphase", "date": "2022-08-26", "abstract": "Advanced Computational Design. The SFB Advanced Computational Design addresses the research question of how to advance design tools and processes through multi- and interdisciplinary basic research. We will develop advanced computational design tools in order to improve design quality and efficiency of processes in architecture and construction. The proposed research is structured in three areas: design methodology (A1), visual and haptic design interaction (A2) and form finding (A3). A1 focuses on the conceptual basis for new digital methods of design based on machine learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form finding will be explored through physical experiments, which will allow for reconsidering model assumptions and constraints, validating the developed algorithmic approaches, and finding new ones.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "ACD logo", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 699, "image_height": 762, "name": "wimmer-2022-acd-ACD logo.png", "type": "image/png", "size": 203297, "path": "Publication:wimmer-2022-acd", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/wimmer-2022-acd-ACD logo.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/wimmer-2022-acd-ACD logo:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193, 1799, 240, 1063, 5202, 5203, 5204, 378, 5205, 5206, 5207, 5208, 5209, 5210, 1946, 1559 ], "doi": "10.1002/bate.202200057", "issn": "1437-0999", "journal": "Bautechnik", "number": "10", "open_access": "no", "pages": "11", "pages_from": "720", "pages_to": "730", "publisher": "ERNST & SOHN", "volume": "99", "research_areas": [], "keywords": [ "Building materials", "CAD – IT/Automatical/CAD", "design interaction", "design methodology", "Digital design/Optimization", "digitalization", "form finding", "simulation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "ACD logo", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 699, "image_height": 762, "name": "wimmer-2022-acd-ACD logo.png", "type": "image/png", "size": 203297, "path": "Publication:wimmer-2022-acd", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/wimmer-2022-acd-ACD logo.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/wimmer-2022-acd-ACD logo:thumb{{size}}.png" }, { "description": null, "filetitle": "First Submitted Version", "main_file": false, "use_in_gallery": false, "access": "public", "name": "wimmer-2022-acd-First Submitted Version.pdf", "type": "application/pdf", "size": 882460, "path": "Publication:wimmer-2022-acd", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/wimmer-2022-acd-First Submitted Version.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/wimmer-2022-acd-First Submitted Version:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/", "__class": "Publication" }, { "id": "martorell2022", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/150213", "title": "Breast cancer patient characterisation and visualisation using deep learning and fisher information networks", "date": "2022-08-17", "abstract": "Breast cancer is the most commonly diagnosed female malignancy globally, with better survival rates if diagnosed early. Mammography is the gold standard in screening programmes for breast cancer, but despite technological advances, high error rates are still reported. Machine learning techniques, and in particular deep learning (DL), have been successfully used for breast cancer detection and classification. However, the added complexity that makes DL models so successful reduces their ability to explain which features are relevant to the model, or whether the model is biased. The main aim of this study is to propose a novel visualisation to help characterise breast cancer patients using Fisher Information Networks on features extracted from mammograms using a DL model. In the proposed visualisation, patients are mapped out according to their similarities and can be used to study new patients as a 'patient-like-me' approach. When applied to the CBIS-DDSM dataset, it was shown that it is a competitive methodology that can (i) facilitate the analysis and decision-making process in breast cancer diagnosis with the assistance of the FIN visualisations and 'patient-like-me' analysis, and (ii) help improve diagnostic accuracy and reduce overdiagnosis by identifying the most likely diagnosis based on clinical similarities with neighbouring patients.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1283, "image_height": 829, "name": "martorell2022-.JPG", "type": "image/jpeg", "size": 126972, "path": "Publication:martorell2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/martorell2022/martorell2022-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/martorell2022/martorell2022-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5189, 5190, 5191, 1410, 5192, 5193, 5194, 5195, 5196 ], "doi": "10.1038/s41598-022-17894-6", "issn": "2045-2322", "journal": "Scientific Reports", "open_access": "yes", "pages": "14", "publisher": "Nature Publishing", "volume": "12", "research_areas": [ "InfoVis", "MedVis" ], "keywords": [ "Breast", "Female", "Humans", "Information Services", "Mammography", "Breast Neoplasms", "Deep Learning" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1283, "image_height": 829, "name": "martorell2022-.JPG", "type": "image/jpeg", "size": 126972, "path": "Publication:martorell2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/martorell2022/martorell2022-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/martorell2022/martorell2022-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/martorell2022/", "__class": "Publication" }, { "id": "musleh-2022-mam5", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/142512", "title": "Visual analysis of blow molding machine multivariate time series data", "date": "2022-07-11", "abstract": "The recent development in the data analytics field provides a boost in production for modern industries. Small-sized factories intend to take full advantage of the data collected by sensors used in their machinery. The ultimate goal is to minimize cost and maximize quality, resulting in an increase in profit. In collaboration with domain experts, we implemented a data visualization tool to enable decision-makers in a plastic factory to improve their production process. The tool is an interactive dashboard with multiple coordinated views supporting the exploration from both local and global perspectives. In summary, we investigate three different aspects: methods for preprocessing multivariate time series data, clustering approaches for the already refined data, and visualization techniques that aid domain experts in gaining insights into the different stages of the production process. Here we present our ongoing results grounded in a human-centered development process. We adopt a formative evaluation approach to continuously upgrade our dashboard design that eventually meets partners’ requirements and follows the best practices within the field. We also conducted a case study with a domain expert to validate the potential application of the tool in the real-life context. Finally, we assessed the usability and usefulness of the tool with a two-layer summative evaluation that showed encouraging results.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Graphical Abstract", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 685, "image_height": 462, "name": "musleh-2022-mam5-Graphical Abstract.webp", "type": "image/webp", "size": 41652, "path": "Publication:musleh-2022-mam5", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/musleh-2022-mam5/musleh-2022-mam5-Graphical Abstract.webp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/musleh-2022-mam5/musleh-2022-mam5-Graphical Abstract:thumb{{size}}.png" }, "sync_repositum_override": "abstract,date", "repositum_presentation_id": null, "authors": [ 1867, 5213, 5214 ], "doi": "10.1007/s12650-022-00857-4", "issn": "1875-8975", "journal": "Journal of Visualization", "open_access": "yes", "pages": "14", "pages_from": "1329", "pages_to": "1342", "publisher": "Springer", "volume": "25", "research_areas": [ "InfoVis" ], "keywords": [ "Time series data", "Unsupervised machine learning", "Visualization" ], "weblinks": [ { "href": "https://link.springer.com/article/10.1007/s12650-022-00857-4", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Graphical Abstract", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 685, "image_height": 462, "name": "musleh-2022-mam5-Graphical Abstract.webp", "type": "image/webp", "size": 41652, "path": "Publication:musleh-2022-mam5", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/musleh-2022-mam5/musleh-2022-mam5-Graphical Abstract.webp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/musleh-2022-mam5/musleh-2022-mam5-Graphical Abstract:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "musleh-2022-mam5-paper.pdf", "type": "application/pdf", "size": 1034180, "path": "Publication:musleh-2022-mam5", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/musleh-2022-mam5/musleh-2022-mam5-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/musleh-2022-mam5/musleh-2022-mam5-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/musleh-2022-mam5/", "__class": "Publication" }, { "id": "Keilman2022", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Immersive Redesign", "date": "2022-07-01", "abstract": "In this thesis, my colleague Ahmed El Agrod and I implemented software that allows point clouds to be edited. By moving, deleting, saving, and inserting selected objects, the point cloud should be able to be modified. This bachelor thesis mainly describes how newly added objects are automatically placed on the ground being recognized by an algorithm. Furthermore, it is described how an image inpainting algorithm was implemented to fill incomplete flat regions of point clouds with new points and associated matching colors. The ground detection was performed using the RANSAC algorithm, which computes a plane representing the ground for the scene. For the image inpainting algorithm, three-dimensional point cloud points had to be mapped to a 2D image, then use an image inpainting algorithm to fill in the missing pixels, and\nfinally, map the 2D pixels of the inpainted image back to 3D points in the scene. An evaluation was also conducted to test both the automatic ground detection and the image inpainting\nalgorithm regarding runtime and visual quality.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 600, "image_height": 687, "name": "Keilman2022-Image.JPG", "type": "image/jpeg", "size": 57274, "path": "Publication:Keilman2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Keilman2022/Keilman2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Keilman2022/Keilman2022-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1938 ], "date_end": "2022-07-01", "date_start": "2021-10-10", "matrikelnr": "11824531", "supervisor": [ 193, 948 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Keilman2022-Bachelor thesis.pdf", "type": "application/pdf", "size": 1241297, "path": "Publication:Keilman2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Keilman2022/Keilman2022-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Keilman2022/Keilman2022-Bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 600, "image_height": 687, "name": "Keilman2022-Image.JPG", "type": "image/jpeg", "size": 57274, "path": "Publication:Keilman2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Keilman2022/Keilman2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Keilman2022/Keilman2022-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Keilman2022/", "__class": "Publication" }, { "id": "kristmann-2022-occ", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Occluder Frequency Analysis for Evaluating the Level of Visibility of Partly Occluded Objects", "date": "2022-07", "abstract": "To increase rendering efficiency of large and complex scenes, occlusion culling algorithms detect objects which are completely hidden by others and therefore do not need to be rendered. However, these methods often follow an all-or-nothing principle, either culling the geometry entirely or drawing it at full detail. This approach disregards an important subcategory of the visibility problem: detecting objects that are hardly visible because they are partly occluded and which can therefore be rendered at a lower level of detail without generating noticeable artifacts. In this thesis we assess the level of visibility of such objects by computing a hierarchical occlusion map and analysing its structure based on the frequencies of the occluders. This analysis results in a parameter that controls the level of detail (LOD) in which the geometry is rendered. The algorithm performs well even in scenes with sparse occlusion, surpassing the standard hierarchical occlusion map algorithm, with still a lot of potential for even further improvements.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1368, "image_height": 1280, "name": "kristmann-2022-occ-teaser.png", "type": "image/png", "size": 252502, "path": "Publication:kristmann-2022-occ", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/kristmann-2022-occ-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/kristmann-2022-occ-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1935 ], "date_end": "2022-07-15", "date_start": "2022-01-01", "matrikelnr": "01518693", "supervisor": [ 193, 1650 ], "research_areas": [ "Perception", "Rendering" ], "keywords": [ "rendering", "occlusion culling", "real-time" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1368, "image_height": 1280, "name": "kristmann-2022-occ-teaser.png", "type": "image/png", "size": 252502, "path": "Publication:kristmann-2022-occ", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/kristmann-2022-occ-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/kristmann-2022-occ-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kristmann-2022-occ-thesis.pdf", "type": "application/pdf", "size": 4728973, "path": "Publication:kristmann-2022-occ", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/kristmann-2022-occ-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/kristmann-2022-occ-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/", "__class": "Publication" }, { "id": "fiedler-2022-vlk", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Improvements and Additional Features for a Modern C++/Vulkan Rendering Framework", "date": "2022-07", "abstract": "Literature review of modern C++, Review of cubemap implementations, Implementation and documentation of cubemap support and cubemap demo in Auto-Vk-Toolkit, Created a primer on coordinate systems in 3D APIs incl. recommended implementation of cubemap coordinate transformations, Created a draft on serialization/caching in Auto-Vk-Toolkit, Literature review of object-oriented vs. data-oriented programming, Made fixes for most compiler warnings in Auto-Vk and Auto-Vk-Toolkit, Literature review of best practices and possible performance improvements for precompiled headers in Visual Studio, Created a new issue addressing precompiled header improvements, Literature review of C++ modules, Created a new issue addressing transition from traditional header files to C++ modules, incl. basic example", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 400, "image_height": 477, "name": "fiedler-2022-vlk-.JPG", "type": "image/jpeg", "size": 26035, "path": "Publication:fiedler-2022-vlk", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/fiedler-2022-vlk/fiedler-2022-vlk-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/fiedler-2022-vlk/fiedler-2022-vlk-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 822 ], "date_end": "2022-07", "date_start": "2020-10", "matrikelnr": "00155490", "supervisor": [ 848, 193 ], "research_areas": [], "keywords": [ "Real-Time Rendering", "Vulkan", "C++", "Auto-Vk", "Auto-Vk-Toolkit" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/Auto-Vk", "caption": "Auto-Vk GitHub Repository", "description": null, "main_file": 0 }, { "href": "https://github.com/cg-tuwien/Auto-Vk-Toolkit", "caption": "Auto-Vk-Toolkit GitHub Repository", "description": null, "main_file": 0 }, { "href": "https://github.com/cg-tuwien/Auto-Vk-Toolkit/issues/95", "caption": "Issue #95: Transition from precompiled header files to C++ modules", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 400, "image_height": 477, "name": "fiedler-2022-vlk-.JPG", "type": "image/jpeg", "size": 26035, "path": "Publication:fiedler-2022-vlk", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/fiedler-2022-vlk/fiedler-2022-vlk-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/fiedler-2022-vlk/fiedler-2022-vlk-:thumb{{size}}.png" }, { "description": "Use of serialization for resource caching in 3D framework", "filetitle": "Draft on Serialization Caching", "main_file": false, "use_in_gallery": false, "access": "public", "name": "fiedler-2022-vlk-Draft on Serialization Caching.pdf", "type": "application/pdf", "size": 138408, "path": "Publication:fiedler-2022-vlk", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/fiedler-2022-vlk/fiedler-2022-vlk-Draft on Serialization Caching.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/fiedler-2022-vlk/fiedler-2022-vlk-Draft on Serialization Caching:thumb{{size}}.png" }, { "description": "Primer on coordinate systems in 3D APIs incl. recommended implementation of cubemap coordinate transformations.", "filetitle": "Primer on Coordinate Systems", "main_file": true, "use_in_gallery": false, "access": "public", "name": "fiedler-2022-vlk-Primer on Coordinate Systems.pdf", "type": "application/pdf", "size": 84206, "path": "Publication:fiedler-2022-vlk", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/fiedler-2022-vlk/fiedler-2022-vlk-Primer on Coordinate Systems.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/fiedler-2022-vlk/fiedler-2022-vlk-Primer on Coordinate Systems:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/fiedler-2022-vlk/", "__class": "Publication" }, { "id": "SCHUETZ-2022-PCC", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/193255", "title": "Software Rasterization of 2 Billion Points in Real Time", "date": "2022-07", "abstract": "We propose a software rasterization pipeline for point clouds that is capable of brute-force rendering up to two billion points in real time (60fps). Improvements over the state of the art are achieved by batching points in a way that a number of batch-level optimizations can be computed before rasterizing the points within the same rendering pass. These optimizations include frustum culling, level-of-detail rendering, and choosing the appropriate coordinate precision for a given batch of points directly within a compute workgroup. Adaptive coordinate precision, in conjunction with visibility buffers, reduces the number of loaded bytes for the majority of points down to 4, thus making our approach several times faster than the bandwidth-limited state of the art. Furthermore, support for LOD rendering makes our software-rasterization approach suitable for rendering arbitrarily large point clouds, and to meet the increased performance demands of virtual reality rendering. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 516, "image_height": 368, "name": "SCHUETZ-2022-PCC-teaser.png", "type": "image/png", "size": 291356, "path": "Publication:SCHUETZ-2022-PCC", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/SCHUETZ-2022-PCC/SCHUETZ-2022-PCC-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/SCHUETZ-2022-PCC/SCHUETZ-2022-PCC-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1116, 1650, 193 ], "cfp": { "name": "cfp.pdf", "type": "application/pdf", "error": "0", "size": "1439654", "orig_name": "cfp.pdf", "ext": "pdf" }, "date_from": "2022-07-11", "date_to": "2022-07-14", "doi": "10.1145/3543863", "event": "High Performance Graphics 2022", "issn": "2577-6193", "journal": "Proceedings of the ACM on Computer Graphics and Interactive Techniques", "lecturer": [ 1116 ], "location": "Vancouver", "number": "3", "open_access": "yes", "pages": "17", "pages_from": "1", "pages_to": "17", "publisher": "Association for Computing Machinery (ACM)", "volume": "5", "research_areas": [ "Geometry", "Rendering" ], "keywords": [ "point-based rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "SCHUETZ-2022-PCC-paper.pdf", "type": "application/pdf", "size": 7306416, "path": "Publication:SCHUETZ-2022-PCC", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/SCHUETZ-2022-PCC/SCHUETZ-2022-PCC-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/SCHUETZ-2022-PCC/SCHUETZ-2022-PCC-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 516, "image_height": 368, "name": "SCHUETZ-2022-PCC-teaser.png", "type": "image/png", "size": 291356, "path": "Publication:SCHUETZ-2022-PCC", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/SCHUETZ-2022-PCC/SCHUETZ-2022-PCC-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/SCHUETZ-2022-PCC/SCHUETZ-2022-PCC-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "d4386" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/SCHUETZ-2022-PCC/", "__class": "Publication" }, { "id": "groeller-2022-iva-1", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/153769", "title": "Interactive Visual Analytics and Modelitics", "date": "2022-06-30", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2022-06-30", "date_to": "2022-06-30", "event": "Interactive Visual Analytics and Modelitics", "lecturer": [ 166 ], "location": "Hangzhou", "research_areas": [], "keywords": [ "Interactive Visual Analytics and Modelitics" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/groeller-2022-iva-1/", "__class": "Publication" }, { "id": "Leutschacher_2022", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visual Analysis of the Prediction of ATP-Matches", "date": "2022-06-22", "abstract": "This Paper is centered around the topic of predicting the winner of a Tennis-Match on the ATP-Tour. Firstly there is a short introduction about the relevance and research of Machine Learning. At first the topic will be discussed broadly, then more and more narrowly to match the goal of the thesis. Next a research for important literature will be carried out, to present the state of the art in the field of Machine Learning based predictions, in science and on the market. Prediction algorithms will be discussed, with an emphasis on outcome prediction in different sports. As an important and high revenue usecase of prediction, the methods of betting companies and bookmakers also get a chapter to be discussed. Same applies to the visualization of data in conjunction to\nMachine Learning, related Frameworks and Libraries and lastly also future challenges of applying Machine Learning\nIn the practical part of the thesis, an application will be talked about, that compares the performance of different neural Networks that try to predict the winner of a Tennis-\nMatch. To accomplish that, at first a dataset with over 200.000 entries and more than 200 variables was split into four chunks to be the input for one neural Network each.\nThose neural Networks were made and trained in Tensorflow and their accuracy was tested via picking three players and trying to predict their matches. The results were then plotted into a Scatterplot. With this methodology it is possible to get information about what variables, that the public has access to before the match starts, are how important for the outcome of a match. Furthermore it would be feasible to find out,\nwhat set of variables is best suited to make predictions about the winner and also if there are differences in the predictions of the three players. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 888, "image_height": 295, "name": "Leutschacher_2022-Image.JPG", "type": "image/jpeg", "size": 57001, "path": "Publication:Leutschacher_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/Leutschacher_2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/Leutschacher_2022-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1936 ], "date_end": "2022-06-22", "date_start": "2021-10-01", "matrikelnr": "11822449", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Leutschacher_2022-Bachelor thesis.pdf", "type": "application/pdf", "size": 1851334, "path": "Publication:Leutschacher_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/Leutschacher_2022-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/Leutschacher_2022-Bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 888, "image_height": 295, "name": "Leutschacher_2022-Image.JPG", "type": "image/jpeg", "size": 57001, "path": "Publication:Leutschacher_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/Leutschacher_2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/Leutschacher_2022-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/", "__class": "Publication" }, { "id": "Troidl_2022", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/192525", "title": "Barrio: Customizable Spatial Neighborhood Analysis and Comparison for Nanoscale Brain Structures", "date": "2022-06-15", "abstract": "High-resolution electron microscopy imaging allows neuroscientists to reconstruct not just entire cells but individual cell sub-structures (i.e., cell organelles) as well. Based on these data, scientists hope to get a better understanding of brain function and development through detailed analysis of local organelle neighborhoods. In-depth analyses require efficient and scalable comparison of a varying number of cell organelles, ranging from two to hundreds of local spatial neighborhoods. Scientists need to be able to analyze the 3D morphologies of organelles, their spatial distributions and distances, and their spatial correlations. We have designed Barrio as a configurable framework that scientists can adjust to their preferred workflow, visualizations, and supported user interactions for their specific tasks and domain questions. Furthermore, Barrio provides a scalable comparative visualization approach for spatial neighborhoods that automatically adjusts visualizations based on the number of structures to be compared. Barrio supports small multiples of spatial 3D views as well as abstract quantitative views, and arranges them in linked and juxtaposed views. To adapt to new domain-specific analysis scenarios, we allow the definition of individualized visualizations and their parameters for each analysis session. We present an in-depth case study for mitochondria analysis in neuronal tissue and demonstrate the usefulness of Barrio in a qualitative user study with neuroscientists.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1547, "image_height": 789, "name": "Troidl_2022-Image.png", "type": "image/png", "size": 435444, "path": "Publication:Troidl_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1659, 1932, 166, 1933, 226, 818 ], "cfp": { "name": "Full Papers – EuroVis 2022.pdf", "type": "application/pdf", "error": "0", "size": "560552", "orig_name": "Full Papers – EuroVis 2022.pdf", "ext": "pdf" }, "date_from": "2021-11-11", "date_to": "2022-06-15", "event": "Proceedings Eurographics/IEEE Symposium on Visualization, Eurovis 2022", "first_published": "2022-06-15", "issn": "1467-8659", "journal": "Computer Graphics Forum", "open_access": "yes", "pages": "12", "publisher": "WILEY", "volume": "41", "research_areas": [ "IllVis" ], "keywords": [ "Neuroscience (miscellaneous)", "Computer Graphics", "vizualitation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1547, "image_height": 789, "name": "Troidl_2022-Image.png", "type": "image/png", "size": 435444, "path": "Publication:Troidl_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Troidl_2022-Paper.pdf", "type": "application/pdf", "size": 5159703, "path": "Publication:Troidl_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/", "__class": "Publication" }, { "id": "Schindler-2022-eurovis", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/175711", "title": "Nested Papercrafts for Anatomical and Biological Edutainment", "date": "2022-06", "abstract": "In this paper, we present a new workflow for the computer-aided generation of physicalizations, addressing Nested configurations in anatomical and biological structures. Physicalizations are an important component of anatomical and biological education and edutainment. However, existing approaches have mainly revolved around creating data sculptures through digital fabrication. Only a few recent works proposed computer-aided pipelines for generating sculptures, such as papercrafts, with affordable and readily available materials. Papercraft generation remains a Challenging topic by itself. Yet, anatomical and biological applications pose additional Challenges, such as reconstruction complexity and insufficiency to account for multiple, Nested structures—often present in anatomical and biological structures. Our workflow comprises the following steps: (i) define the Nested configuration of the model and detect its levels, (ii) calculate the viewpoint that provides optimal, unobstructed views on inner levels, (iii) perform cuts on the outer levels to reveal the inner ones based on the viewpoint selection, (iv) estimate the stability of the cut papercraft to ensure a reliable outcome, (v) generate textures at each level, as a smart visibility mechanism that provides additional information on the inner structures, and (vi) unfold each textured mesh guaranteeing reconstruction. Our novel approach exploits the interactivity of Nested papercraft models for edutainment purposes.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "Schindler-2022-eurovis-image.png", "type": "image/png", "size": 66402, "path": "Publication:Schindler-2022-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-image:thumb{{size}}.png" }, "sync_repositum_override": "lecturer,journal", "repositum_presentation_id": null, "authors": [ 1760, 1697, 1410, 1464 ], "booktitle": "Eurographics Conference on Visualization (EuroVis) 2022", "cfp": { "name": "ev2022-cpf.pdf", "type": "application/pdf", "error": "0", "size": "241772", "orig_name": "ev2022-cpf.pdf", "ext": "pdf" }, "date_from": "2022-06-13", "date_to": "2022-06-17", "doi": "10.1111/cgf.14561", "event": "EuroVis 2022 - 24th Eurographics Conference on Visualization", "journal": "Computer Graphics Forum", "lecturer": [ 1464 ], "location": "Rom", "open_access": "yes", "pages": "13", "pages_from": "541", "pages_to": "553", "publisher": "Wiley & Sons Ltd", "volume": "41,3", "research_areas": [ "MedVis" ], "keywords": [ "Applied computing", "Life and medical sciences", "Human-centered computing", "Visualization techniques", "Scientific visualization", "Interaction paradigms" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "Schindler-2022-eurovis-image.png", "type": "image/png", "size": 66402, "path": "Publication:Schindler-2022-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Schindler-2022-eurovis-paper.pdf", "type": "application/pdf", "size": 46112659, "path": "Publication:Schindler-2022-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Schindler-2022-eurovis-video.mp4", "type": "video/mp4", "size": 76649209, "path": "Publication:Schindler-2022-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/", "__class": "Publication" }, { "id": "Ganglberger-2022-cg", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/152311", "title": "Spatial-Data-Driven Layouting for Brain Network Visualization", "date": "2022-06", "abstract": "Recent advances in neuro-imaging enable scientists to create brain network data that can lead to novel insights into neurocircuitry, and a better understanding of the brain’s organization. These networks inherently involve a spatial component, depicting which brain regions are structurally, functionally or genetically related. Their visualization in 3D suffers from occlusion and clutter, especially with increasing number of nodes and connections, while 2D representations such as connectograms, connectivity matrices, and node-link diagrams neglect the spatio-anatomical context. Approaches to arrange 2D-graphs manually are tedious, species-dependent, and require the knowledge of domain experts.\r\nIn this paper, we present a spatial-data-driven approach for layouting 3D brain networks in 2D node-link diagrams, while maintaining their spatial organization. The produced graphs do not need manual positioning of nodes, are consistent (even for sub-graphs), and provide a perspective-dependent arrangement for orientation. Furthermore, we provide a visual design for highlighting anatomical context, including the shape of the brain, and the size of brain regions. We present in several case-studies the applicability of our approach for different neuroscience-relevant species, including the mouse, human, and Drosophila larvae. In a user study conducted with several domain experts, we demonstrate its relevance and validity, as well as its potential for neuroscientific publications, presentations, and education.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 248, "image_height": 192, "name": "Ganglberger-2022-cg-image.png", "type": "image/png", "size": 52057, "path": "Publication:Ganglberger-2022-cg", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-image:thumb{{size}}.png" }, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1747, 1929, 1464, 1358, 1930, 1931, 231 ], "doi": "10.1016/j.cag.2022.04.014", "issn": "1873-7684", "journal": "Computers & Graphics", "open_access": "yes", "pages": "13", "pages_from": "12", "pages_to": "24", "publisher": "Elsevier", "volume": "105", "research_areas": [], "keywords": [ "networks", "neuroscience", "graph layouting", "brain parcellation", "anatomical layouts" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 248, "image_height": 192, "name": "Ganglberger-2022-cg-image.png", "type": "image/png", "size": 52057, "path": "Publication:Ganglberger-2022-cg", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Ganglberger-2022-cg-paper.pdf", "type": "application/pdf", "size": 22337410, "path": "Publication:Ganglberger-2022-cg", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Ganglberger-2022-cg-video.mp4", "type": "video/mp4", "size": 19315917, "path": "Publication:Ganglberger-2022-cg", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/", "__class": "Publication" }, { "id": "dhanoa-2022-apm", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/174385", "title": "A Process Model for Dashboard Onboarding", "date": "2022-06", "abstract": "Dashboards are used ubiquitously to gain and present insights into data by means of interactive visualizations. To bridge the gap between non-expert dashboard users and potentially complex datasets and/or visualizations, a variety of onboarding strategies are employed, including videos, narration, and interactive tutorials. We propose a process model for dashboard onboarding that formalizes and unifies such diverse onboarding strategies. Our model introduces the onboarding loop alongside the dashboard usage loop. Unpacking the onboarding loop reveals how each onboarding strategy combines selected building blocks of the dashboard with an onboarding narrative. Specific means are applied to this narration sequence for onboarding, which results in onboarding artifacts that are presented to the user via an interface. We concretize these concepts by showing how our process model can be used to describe a selection of real-world onboarding examples. Finally, we discuss how our model can serve as an actionable blueprint for developing new onboarding systems.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1892, 1893, 1895, 5254, 166, 1896 ], "doi": "10.1111/cgf.14558", "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "3", "open_access": "yes", "pages": "13", "pages_from": "501", "pages_to": "513", "publisher": "Wiley", "volume": "41", "research_areas": [], "keywords": [ "CCS Concepts", "concepts and paradigms", "Human-centered computing", "Visualization theory" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "dhanoa-2022-apm-paper.pdf", "type": "application/pdf", "size": 1081002, "path": "Publication:dhanoa-2022-apm", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/dhanoa-2022-apm/dhanoa-2022-apm-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/dhanoa-2022-apm/dhanoa-2022-apm-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/dhanoa-2022-apm/", "__class": "Publication" }, { "id": "Eichner2022", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/20311", "title": "Interactive Co-Registration for Multi-Modal Cancer Imaging Data based on Segmentation Masks", "date": "2022-05-17", "abstract": "Endometrial cancer is the most common and most lethal gynecologic malignancy world-wide. Multiple MRI sequences are acquired per patient in gynecologic cancer research because they reveal different tissue characteristics. Radiomic tumor profiling extracts features from medical imaging data aiming to find new tumor imaging biomarkers. Co-registration and tumor segmentation of multi-sequential MRI data build the base for radiomic tumor profiling. Many approaches exist that aim to automate these time-consuming manual processes. After automatic co-registration, volumes are often still misaligned. This lack of registration quality has an impact on the results of radiomic tumor profiling, since we cannot ensure voxel integrity.\nWe distinguish between rigid and deformable registration. Rigid registration transforms a volume using only translation and rotation parameters, while deformable registration can include local deformations. Tumors are rigid structures compared to the tissue around them. Therefore, rigid co-registration can be sufficient to align tumors. However, to analyze also surrounding structures, deformable registration is necessary. Even though tumors are rigid structures, they can appear slightly different in the varying sequences due to imaging physics. Applying deformable registration to the whole image can result in tumor deformations that do not resemble the underlying biological tissue characteristics and can alter important information about tumor tissue characteristics.\nTo address these two problems, we propose the web-based application MuSIC (Multi-Sequential Interactive Co-registration). The tool allows medical experts to co-register multiple sequences simultaneously based on a pre-defined segmentation mask that has been generated for one of the sequences. In our workflow, a simulated-annealing-based shape matching algorithm searches for the tumor position in each sequence that can vary in translation and rotation parameters. We present the updated segmentation positions to the user, who can interactively adapt the positions if needed. We include multi-modal visualization techniques for visual quality assessment during this procedure. Based on the positioning of the segmentation masks, we register the volumes. We allow for both rigid and deformable co-registration. Due to our approach based on segmentation masks, we apply local transformations mainly outside the tumor tissue in deformable registration.\nWe evaluate our approach in a usability analysis with medical and machine learning experts. They find the tool very intuitive and especially the medical experts clearly see themselves using MuSIC in the future.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 569, "image_height": 475, "name": "Eichner2022-Image.JPG", "type": "image/jpeg", "size": 35616, "path": "Publication:Eichner2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Eichner2022/Eichner2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Eichner2022/Eichner2022-Image:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1934 ], "date_end": "2022-05-17", "date_start": "2021-02-03", "diploma_examina": "2022-06-27", "doi": "10.34726/hss.2022.96562", "matrikelnr": "11911100", "open_access": "yes", "pages": "126", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [ "Multi-Modal Segmentation", "Registration" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 569, "image_height": 475, "name": "Eichner2022-Image.JPG", "type": "image/jpeg", "size": 35616, "path": "Publication:Eichner2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Eichner2022/Eichner2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Eichner2022/Eichner2022-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Eichner2022-Master Thesis.pdf", "type": "application/pdf", "size": 15515187, "path": "Publication:Eichner2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Eichner2022/Eichner2022-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Eichner2022/Eichner2022-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Eichner2022-Poster.pdf", "type": "application/pdf", "size": 3740556, "path": "Publication:Eichner2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Eichner2022/Eichner2022-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Eichner2022/Eichner2022-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Eichner2022/", "__class": "Publication" }, { "id": "cornel-2022-wih", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/154434", "title": "Watertight Incremental Heightfield Tessellation", "date": "2022-05-06", "abstract": "In this paper, we propose a method for the interactive visualization of medium-scale dynamic heightfields without visual artifacts. Our data fall into a category too large to be rendered directly at full resolution, but small enough to fit into GPU memory without pre-filtering and data streaming. We present the real-world use case of unfiltered flood simulation data of such medium scale that need to be visualized in real time for scientific purposes. Our solution facilitates compute shaders to maintain a guaranteed watertight triangulation in GPU memory that approximates the interpolated heightfields with view-dependent, continuous levels of detail. In each frame, the triangulation is updated incrementally by iteratively refining the cached result of the previous frame to minimize the computational effort. In particular, we minimize the number of heightfield sampling operations to make adaptive and higher-order interpolations viable options. We impose no restriction on the number of subdivisions and the achievable level of detail to allow for extreme zoom ranges required in geospatial visualization. Our method provides a stable runtime performance and can be executed with a limited time budget. We present a comparison of our method to three state-of-the-art methods, in which our method is competitive to previous non-watertight methods in terms of runtime, while outperforming them in terms of accuracy.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Real-time visualization result of our method for decision support in flood management. Close-up of flood simulation results at 1 m resolution.", "filetitle": "detail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1000, "name": "cornel-2022-wih-detail.png", "type": "image/png", "size": 1766315, "path": "Publication:cornel-2022-wih", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-detail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-detail:thumb{{size}}.png" }, "sync_repositum_override": "projects,date", "repositum_presentation_id": null, "authors": [ 877, 1793, 166, 798 ], "doi": "10.1109/TVCG.2022.3173081", "issn": "1941-0506", "journal": "IEEE Transactions on Visualization and Computer Graphics", "pages": "12", "publisher": "Institute of Electrical and Electronics Engineers (IEEE)", "volume": "PP", "research_areas": [ "Geometry" ], "keywords": [ "Data visualization", "Graphics processing units", "heightfield rendering", "Interpolation", "level of detail", "Merging", "Real-time systems", "Rendering (computer graphics)", "Surface reconstruction", "terrain rendering", "tessellation", "Visualization techniques and methodologies" ], "weblinks": [], "files": [ { "description": "Real-time visualization result of our method for decision support in flood management. Close-up of flood simulation results at 1 m resolution.", "filetitle": "detail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1000, "name": "cornel-2022-wih-detail.png", "type": "image/png", "size": 1766315, "path": "Publication:cornel-2022-wih", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-detail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-detail:thumb{{size}}.png" }, { "description": null, "filetitle": "implementation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "cornel-2022-wih-implementation.zip", "type": "application/zip", "size": 8540732, "path": "Publication:cornel-2022-wih", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-implementation.zip", "thumb_image_sizes": [] }, { "description": "Real-time visualization result of our method for decision support in flood management. Overview perspective\nwith geospatial data of Austria. Three nested terrain heightfields defined on an area of 572 km × 293 km are combined with\na dynamic water heightfield in a focus region of 22 km × 15 km .", "filetitle": "overview", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1000, "name": "cornel-2022-wih-overview.png", "type": "image/png", "size": 3589497, "path": "Publication:cornel-2022-wih", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-overview:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "cornel-2022-wih-paper.pdf", "type": "application/pdf", "size": 16857216, "path": "Publication:cornel-2022-wih", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/", "__class": "Publication" }, { "id": "ohrhallinger_stefan-2022-it1", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/153673", "title": "Curve/Surface Reconstruction and Occlusion-enabled Applications", "date": "2022-05-02", "abstract": "Curve reconstruction from unstructured points in a plane is a fundamental problem with many applications that has generated research interest for decades. Involved aspects like handling open, sharp, multiple, and non-manifold outlines, runtime, and provability as well as its extension to 3D for surface reconstruction have led to many different algorithms. The presented algorithms spans the range from improved interpolation of manifold curves over fitting noisy points with better accuracy, requiring fewer points for successful reconstruction to proving the lower limit of required samples with regard to local feature size, or provable statistical accuracy for noise-infected samples. A new sampling condition is introduced that can be expressed as a simple function of the long-standing epsilon-sampling, and permits to reconstruct curves with even fewer samples. As a side product, an algorithm for sampling curves is designed as well. A survey paper compares this body of work with all related work in this now mature field and includes an open source benchmark that allows to easily evaluate competing algorithms in multiple aspects and highlights their relative strengths. For selected 2D algorithms, extensions to 3D are given, as well as offering many novel perspectives for 3D reconstruction, where important open problems remain. As a different topic, when visualizing point clouds, occlusion can be inferred for almost free by exploiting the fact that point clouds representing surfaces are inherently 2D and squashing them in a view-based 2D data structure. This permits novel real-time methods on large point clouds such as collision detection, surface processing like cutting or editing, and efficient exploration.\n\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 286, "image_height": 295, "name": "ohrhallinger_stefan-2022-it1-.JPG", "type": "image/jpeg", "size": 27869, "path": "Publication:ohrhallinger_stefan-2022-it1", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-it1/ohrhallinger_stefan-2022-it1-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-it1/ohrhallinger_stefan-2022-it1-:thumb{{size}}.png" }, "sync_repositum_override": "date,location,projects,abstract", "repositum_presentation_id": null, "authors": [ 948 ], "date_from": "2022-05-02", "date_to": "2022-05-02", "event": "Invited Talk", "lecturer": [ 948 ], "location": "LiX Polytechnique, Saclay-Paris, France", "research_areas": [], "keywords": [ "curve reconstruction", "surface reconstruction", "occlusions" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 286, "image_height": 295, "name": "ohrhallinger_stefan-2022-it1-.JPG", "type": "image/jpeg", "size": 27869, "path": "Publication:ohrhallinger_stefan-2022-it1", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-it1/ohrhallinger_stefan-2022-it1-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-it1/ohrhallinger_stefan-2022-it1-:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-it1/", "__class": "Publication" }, { "id": "cardoso-2022-rtpercept", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/142206", "title": "Training and Predicting Visual Error for Real-Time Applications", "date": "2022-05", "abstract": "Visual error metrics play a fundamental role in the quantification of perceived image similarity. Most recently, use cases for them in real-time applications have emerged, such as content-adaptive shading and shading reuse to increase performance and improve efficiency. A wide range of different metrics has been established, with the most sophisticated being capable of capturing the perceptual characteristics of the human visual system. However, their complexity, computational expense, and reliance on reference images to compare against prevent their generalized use in real-time, restricting such applications to using only the simplest available metrics.\n\nIn this work, we explore the abilities of convolutional neural networks to predict a variety of visual metrics without requiring either reference or rendered images. Specifically, we train and deploy a neural network to estimate the visual error resulting from reusing shading or using reduced shading rates. The resulting models account for 70%--90% of the variance while achieving up to an order of magnitude faster computation times. Our solution combines image-space information that is readily available in most state-of-the-art deferred shading pipelines with reprojection from previous frames to enable an adequate estimate of visual errors, even in previously unseen regions. We describe a suitable convolutional network architecture and considerations for data preparation for training. We demonstrate the capability of our network to predict complex error metrics at interactive rates in a real-time application that implements content-adaptive shading in a deferred pipeline. Depending on the portion of unseen image regions, our approach can achieve up to 2x performance compared to state-of-the-art methods.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1088, "name": "cardoso-2022-rtpercept-teaser.png", "type": "image/png", "size": 2493649, "path": "Publication:cardoso-2022-rtpercept", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/cardoso-2022-rtpercept-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/cardoso-2022-rtpercept-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1639, 1650, 868, 1921, 193 ], "cfp": { "name": "cfp.pdf", "type": "application/pdf", "error": "0", "size": "1227280", "orig_name": "cfp.pdf", "ext": "pdf" }, "date_from": "2022-05-03", "date_to": "2022-05-05", "doi": "10.1145/3522625", "event": "ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games", "issn": "2577-6193", "journal": "Proceedings of the ACM on Computer Graphics and Interactive Techniques", "lecturer": [ 1639 ], "location": "online", "number": "1", "open_access": "yes", "pages": "17", "pages_from": "1", "pages_to": "17", "publisher": "Association for Computing Machinery", "volume": "5", "research_areas": [ "Perception", "Rendering" ], "keywords": [ "perceptual error", "variable rate shading", "real-time" ], "weblinks": [ { "href": "https://jaliborc.github.io/rt-percept/", "caption": "Paper Website", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "cardoso-2022-rtpercept-paper.pdf", "type": "application/pdf", "size": 54709850, "path": "Publication:cardoso-2022-rtpercept", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/cardoso-2022-rtpercept-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/cardoso-2022-rtpercept-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1088, "name": "cardoso-2022-rtpercept-teaser.png", "type": "image/png", "size": 2493649, "path": "Publication:cardoso-2022-rtpercept", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/cardoso-2022-rtpercept-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/cardoso-2022-rtpercept-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "EVOCATION" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/", "__class": "Publication" }, { "id": "geyer-2018-apbf", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/19979", "title": "Adaptive Sampling in position based fluids", "date": "2022-05", "abstract": "Position-Based Fluids (PBF) are a Lagrangian fluid-simulation method and are an implementation of Smoothed Particle Hydrodynamics integrated into the Position-Based Dynamics (PBD) framework. In PBD, constraints applied to object positions are used to enforce a variety of physical laws. In the case of PBF, the fluid is represented by particles and constraints are added that prevent fluid compression. The original PBF method defines all particles to be of equal mass and rest density. In this thesis, we propose a method for generalizing PBF to allow particles to represent varying amounts of fluid. This enables the fluid to be simulated with regionally varying levels of detail with the intent to reduce memory consumption and to increase performance. For each fluid region, we compute the targeted level of detail based on its distance to the fluid boundary, and use merging and splitting strategies to adapt the particles accordingly. We discuss the relation of the particle density to the kernel width used in PBF and provide several approaches for adapting the kernel width to fit the local level of detail. The advantages and disadvantages of each approach are evaluated and a streamlined implementation-variant is proposed which has advantageous properties for larger bodies of fluid. This streamlined solution bases the kernel width entirely on the boundary distance. Its approach is mathematically analyzed in regard to the expected number of particles and neighbor pairs for varying fluid body sizes. The mathematical analysis as well as measurements done in our test implementation show that while our method might increase the neighbor pair count for shallow fluids, it greatly reduces the number of particles and neighbor pairs if the fluid is sufficiently deep, giving the opportunity to significantly lower the computational effort in these cases.", "authors_et_al": false, "substitute": null, "main_image": { "description": "A spherical shaped body of fluid where the proposed technique has merged some particles into particles with larger masses in the inner regions.", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 996, "image_height": 966, "name": "geyer-2018-apbf-image.jpg", "type": "image/jpeg", "size": 342534, "path": "Publication:geyer-2018-apbf", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/geyer-2018-apbf/geyer-2018-apbf-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/geyer-2018-apbf/geyer-2018-apbf-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1140 ], "co_supervisor": [ 848 ], "date_end": "2022-05", "date_start": "2018-12", "diploma_examina": "2022-05", "doi": "10.34726/hss.2022.92665", "matrikelnr": "01026408", "open_access": "yes", "pages": "81", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "Position-Based Fluids", "Particle-Based Fluid Simulation" ], "weblinks": [], "files": [ { "description": "A spherical shaped body of fluid where the proposed technique has merged some particles into particles with larger masses in the inner regions.", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 996, "image_height": 966, "name": "geyer-2018-apbf-image.jpg", "type": "image/jpeg", "size": 342534, "path": "Publication:geyer-2018-apbf", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/geyer-2018-apbf/geyer-2018-apbf-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/geyer-2018-apbf/geyer-2018-apbf-image:thumb{{size}}.png" }, { "description": "Poster (PDF)", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "geyer-2018-apbf-poster.pdf", "type": "application/pdf", "size": 3163396, "path": "Publication:geyer-2018-apbf", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/geyer-2018-apbf/geyer-2018-apbf-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/geyer-2018-apbf/geyer-2018-apbf-poster:thumb{{size}}.png" }, { "description": "Thesis (PDF)", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "geyer-2018-apbf-thesis.pdf", "type": "application/pdf", "size": 13615309, "path": "Publication:geyer-2018-apbf", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/geyer-2018-apbf/geyer-2018-apbf-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/geyer-2018-apbf/geyer-2018-apbf-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/geyer-2018-apbf/", "__class": "Publication" }, { "id": "ohrhallinger_stefan-2022-tut", "type_id": "otherreviewed", "tu_id": null, "repositum_id": null, "title": "Shape Reconstruction: From Theory to Practice", "date": "2022-04-25", "abstract": "Curve reconstruction from unstructured points in a plane is a fundamental problem with many applications that has generated research interest for decades. Involved aspects like handling open, sharp, multiple and non-manifold outlines, run-time and provability as well as potential extension to 3D for surface reconstruction have led to many different algorithms. We survey the literature on 2D curve reconstruction and then present an open-sourced benchmark for the experimental study. Our unprecedented evaluation of a selected set of planar curve reconstruction algorithms aims to give an overview of both quantitative analysis and qualitative aspects for helping users to select the right algorithm for specific problems in the field. Our benchmark framework is available online to permit reproducing the results and easy integration of new algorithms.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 476, "image_height": 251, "name": "ohrhallinger_stefan-2022-tut-.JPG", "type": "image/jpeg", "size": 27189, "path": "Publication:ohrhallinger_stefan-2022-tut", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-tut/ohrhallinger_stefan-2022-tut-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-tut/ohrhallinger_stefan-2022-tut-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948, 1825, 1828 ], "booktitle": "Eurographics 2022 - Tutorials", "research_areas": [ "Geometry" ], "keywords": [ "curve reconstruction", "region reconstruction", "benchmark" ], "weblinks": [ { "href": "https://users.cg.tuwien.ac.at/stef/curvebenchmark/", "caption": "website", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 476, "image_height": 251, "name": "ohrhallinger_stefan-2022-tut-.JPG", "type": "image/jpeg", "size": 27189, "path": "Publication:ohrhallinger_stefan-2022-tut", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-tut/ohrhallinger_stefan-2022-tut-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-tut/ohrhallinger_stefan-2022-tut-:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-tut/", "__class": "Publication" }, { "id": "marin-2022-sig", "type_id": "poster", "tu_id": null, "repositum_id": "20.500.12708/175985", "title": "SIG-based Curve Reconstruction", "date": "2022-04-25", "abstract": "We introduce a new method to compute the shape of an unstructured set of two-dimensional points. The algorithm exploits the to-date rarely used proximity-based graph called spheres-of-influence graph (SIG). We filter edges from the Delaunay triangulation belonging to the SIG as an initial graph and apply some additional processing plus elements from the Connect2D algorithm. This combination already shows improvements in curve reconstruction, yielding the best reconstruction accuracy compared to state-of-the-art algorithms from a recent comprehensive benchmark, and offers potential of further improvements.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1822, "image_height": 1121, "name": "marin-2022-sig-image.png", "type": "image/png", "size": 112024, "path": "Publication:marin-2022-sig", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sig/marin-2022-sig-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sig/marin-2022-sig-image:thumb{{size}}.png" }, "sync_repositum_override": "projects,date,location,issn", "repositum_presentation_id": null, "authors": [ 1848, 948, 193 ], "booktitle": "Eurographics 2022 - Posters", "cfp": { "name": "029-030.pdf", "type": "application/pdf", "error": "0", "size": "189336", "orig_name": "029-030.pdf", "ext": "pdf" }, "date_from": "2022-04-25", "date_to": "2022-04-29", "doi": "10.2312/egp.20221013", "editor": "Sauvage, Basile and Hasic-Telalovic, Jasminka", "event": "Eurographics 2022 - 43rd Annual Conference of the European Association for Computer Graphics", "isbn": "978-3-03868-171-7", "issn": "1017-4656", "lecturer": [ 1848 ], "location": "Reims, France", "open_access": "yes", "pages": "2", "publisher": "The Eurographics Association", "research_areas": [ "Geometry" ], "keywords": [ "Curve reconstruction", "Spheres-of-influence graph", "Computing methodologies", "Point-based models" ], "weblinks": [ { "href": "https://diglib.eg.org/handle/10.2312/egp20221013", "caption": "Paper", "description": null, "main_file": 1 }, { "href": "https://www.youtube.com/watch?v=JExKRTSI0Po", "caption": "Video Presentation", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1822, "image_height": 1121, "name": "marin-2022-sig-image.png", "type": "image/png", "size": 112024, "path": "Publication:marin-2022-sig", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sig/marin-2022-sig-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sig/marin-2022-sig-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "marin-2022-sig-paper.pdf", "type": "application/pdf", "size": 189336, "path": "Publication:marin-2022-sig", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sig/marin-2022-sig-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sig/marin-2022-sig-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": 6623, "preview_image_height": 9363, "name": "marin-2022-sig-poster.pdf", "type": "application/pdf", "size": 1622814, "path": "Publication:marin-2022-sig", "preview_name": "marin-2022-sig-poster:preview.png", "preview_type": "image/png", "preview_size": 2085570, "url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sig/marin-2022-sig-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sig/marin-2022-sig-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sig/", "__class": "Publication" }, { "id": "mortezapoor-2022-photogrammabot", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/78073", "title": "Photogrammabot: An Autonomous ROS-Based Mobile Photography Robot for Precise 3D Reconstruction and Mapping of Large Indoor Spaces for Mixed Reality", "date": "2022-04-20", "abstract": "Precise 3D reconstruction of environments and real objects for Mixed-Reality applications can be burdensome. Photogrammetry can help to create accurate representations of actual objects in the virtual world using a high number of photos of a subject or an environment. Photogrammabot is an affordable mobile robot that facilitates photogrammetry and 3D reconstruction by autonomously and systematically capturing images. It explores an unknown indoor environment and uses map-based localization and navigation to maintain camera direction at different shooting points. Photogrammabot employs a Raspberry Pi 4B and Robot Operating System (ROS) to control the exploration and capturing processes. The photos are taken using a point-and-shoot camera mounted on a 2-DOF micro turret to enable photography from different angles and compensate for possible robot orientation errors to ensure parallel photos. Photogrammabot has been designed as a general solution to facilitate precise 3D reconstruction of unknown environments. In addition we developed tools to integrate it with and extend the Immersive Deck™ MR system [23], where it aids the setup of the system in new locations.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1881, 1731, 5533, 378 ], "booktitle": "Proceedings of 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)", "date_from": "2022-03-12", "date_to": "2022-03-16", "doi": "10.1109/VRW55335.2022.00033", "event": "2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)", "isbn": "978-1-6654-8403-9", "lecturer": [ 1881 ], "location": "Christchurch", "pages": "7", "pages_from": "101", "pages_to": "107", "publisher": "IEEE", "research_areas": [], "keywords": [ "3D reconstruction", "Artificial intelligence", "automation", "autonomous mobile robot", "Computer systems organization", "Computer vision", "Computing methodologies", "Embedded and cyberphysical systems", "fiducial marker tracking", "Human computer interaction (HCI)", "Human computer interaction (HCI)", "Human-centered computing", "Human-centered computing", "Interaction paradigms", "mixed-reality", "Mixed/augmented reality", "Photogrammetry", "Reconstruction", "Robotic autonomy", "Robotics", "ROS", "Virtual reality" ], "weblinks": [], "files": [], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/mortezapoor-2022-photogrammabot/", "__class": "Publication" }, { "id": "groeller-2022-ivd", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/153772", "title": "Interactive Visual Data Analysis", "date": "2022-04-08", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2022-04-08", "date_to": "2022-04-08", "event": "Mini Symposium", "lecturer": [ 166 ], "location": "Eindhoven", "research_areas": [], "keywords": [ "Interactive Visual Data Analysis" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/groeller-2022-ivd/", "__class": "Publication" }, { "id": "gamsjaeger-2022-proc", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Procedural Modeling utilizing Parser Generators", "date": "2022-04", "abstract": "Modeling and simulating of buildings, cities, and metropolis is of huge interest in today’s industries. It allows observing realistic representations in a three-dimensional virtual space as it is used in games and simulations of specific situations. One way to achieve this is procedural modeling, a method that only needs little input to generate complex scenes and structures. In combination with so-called parser generators, an efficient and less time-consuming approach is achieved. The resulting application then gives the user a simple and fast way to generate, model, and design highly complex structures. In this thesis, we first will go into detail about today’s standards and the possibilities which are available at the moment. Then resume with an illustration of two widely used parser generators called ANTLR and Bison and how we replaced the first with the second. Leaving us with a comparison, of their advantages and disadvantages and demonstrating the resulting outcome.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1193, "image_height": 1045, "name": "gamsjaeger-2022-proc-teaser.png", "type": "image/png", "size": 551042, "path": "Publication:gamsjaeger-2022-proc", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/gamsjaeger-2022-proc-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/gamsjaeger-2022-proc-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1924 ], "date_end": "2022-04-10", "date_start": "2020-01-01", "matrikelnr": "01631843", "supervisor": [ 193, 1650 ], "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "parsing", "procedural geometry", "architecture" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1193, "image_height": 1045, "name": "gamsjaeger-2022-proc-teaser.png", "type": "image/png", "size": 551042, "path": "Publication:gamsjaeger-2022-proc", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/gamsjaeger-2022-proc-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/gamsjaeger-2022-proc-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "gamsjaeger-2022-proc-thesis.pdf", "type": "application/pdf", "size": 8889729, "path": "Publication:gamsjaeger-2022-proc", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/gamsjaeger-2022-proc-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/gamsjaeger-2022-proc-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/", "__class": "Publication" }, { "id": "grossmann-2022-conceptSplatters", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/152292", "title": "Concept splatters: Exploration of latent spaces based on human interpretable concepts", "date": "2022-04", "abstract": "Similarity maps show dimensionality-reduced activation vectors of a high number of data points and thereby can help to understand which features a neural network has learned from the data. However, similarity maps have severely limited expressiveness for large datasets with hundreds of thousands of data instances and thousands of labels, such as ImageNet or word2vec. In this work, we present “concept splatters” as a scalable method to interactively explore similarities between data instances as learned by the machine through the lens of human-understandable semantics. Our approach enables interactive exploration of large latent spaces on multiple levels of abstraction. We present a web-based implementation that supports interactive exploration of tens of thousands of word vectors of word2vec and CNN feature vectors of ImageNet. In a qualitative study, users could effectively discover spurious learning strategies of the network, ambiguous labels, and could characterize reasons for potential confusion.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1055, "image_height": 794, "name": "grossmann-2022-conceptSplatters-teaser.png", "type": "image/png", "size": 1013977, "path": "Publication:grossmann-2022-conceptSplatters", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/grossmann-2022-conceptSplatters/grossmann-2022-conceptSplatters-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/grossmann-2022-conceptSplatters/grossmann-2022-conceptSplatters-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date,projects", "repositum_presentation_id": null, "authors": [ 1366, 166, 1110 ], "doi": "10.1016/j.cag.2022.04.013", "issn": "1873-7684", "journal": "Computers and Graphics", "open_access": "yes", "pages": "12", "pages_from": "73", "pages_to": "84", "publisher": "Elsevier", "volume": "105", "research_areas": [ "InfoVis" ], "keywords": [ "Concept spaces", "Latent spaces", "Similarity maps", "Visual exploratory analysis" ], "weblinks": [ { "href": "https://www.sciencedirect.com/science/article/pii/S0097849322000656", "caption": "paper", "description": "Link to open access paper", "main_file": 1 }, { "href": "https://kontor.cg.tuwien.ac.at/ConceptSplatters/", "caption": "online demo", "description": null, "main_file": 1 } ], "files": [ { "description": "Detailed findings", "filetitle": "supplementary document", "main_file": false, "use_in_gallery": false, "access": "public", "name": "grossmann-2022-conceptSplatters-supplementary document.pdf", "type": "application/pdf", "size": 25193252, "path": "Publication:grossmann-2022-conceptSplatters", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/grossmann-2022-conceptSplatters/grossmann-2022-conceptSplatters-supplementary document.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/grossmann-2022-conceptSplatters/grossmann-2022-conceptSplatters-supplementary document:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1055, "image_height": 794, "name": "grossmann-2022-conceptSplatters-teaser.png", "type": "image/png", "size": 1013977, "path": "Publication:grossmann-2022-conceptSplatters", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/grossmann-2022-conceptSplatters/grossmann-2022-conceptSplatters-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/grossmann-2022-conceptSplatters/grossmann-2022-conceptSplatters-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "grossmann-2022-conceptSplatters-video.mp4", "type": "video/mp4", "size": 49841833, "path": "Publication:grossmann-2022-conceptSplatters", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/grossmann-2022-conceptSplatters/grossmann-2022-conceptSplatters-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/grossmann-2022-conceptSplatters/grossmann-2022-conceptSplatters-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2022/grossmann-2022-conceptSplatters/grossmann-2022-conceptSplatters-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/grossmann-2022-conceptSplatters/", "__class": "Publication" }, { "id": "HANN_2022_IPT", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Incremental Updates of Path-Traced Scenes during Editing", "date": "2022-04", "abstract": "In this work I present a novel adaptive sampling algorithm for 3D editing software, developed by me and my colleagues. The algorithm is based on the idea of using knowledge about how a given user interaction affects a scene visually. We split the\nimage into regions and order them, according to that knowledge, from most noticeably affected to least. The rendering budget can then be focused on the more affected regions earlier and on the lesser ones later in an incremental rendering process. Although this concept could probably work with other rendering methods, we designed it to be able to use path-tracing as the viewport renderer in 3D editing software without the typical grain-like noise and waiting times for sufficiently smooth rendered images this technology usually comes with. The goal of this work is to offer users of 3D editing software an as uninterrupted workflow as possible while still being able to see their work in high quality.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1679, "image_height": 947, "name": "HANN_2022_IPT-teaser.png", "type": "image/png", "size": 1562959, "path": "Publication:HANN_2022_IPT", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/HANN_2022_IPT-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/HANN_2022_IPT-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1922 ], "date_end": "2022", "date_start": "2021", "matrikelnr": "01633018", "supervisor": [ 193, 1650 ], "research_areas": [ "Rendering" ], "keywords": [ "incremental rendering", "path tracing", "GPU" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1679, "image_height": 947, "name": "HANN_2022_IPT-teaser.png", "type": "image/png", "size": 1562959, "path": "Publication:HANN_2022_IPT", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/HANN_2022_IPT-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/HANN_2022_IPT-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "HANN_2022_IPT-thesis.pdf", "type": "application/pdf", "size": 31315114, "path": "Publication:HANN_2022_IPT", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/HANN_2022_IPT-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/HANN_2022_IPT-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/", "__class": "Publication" }, { "id": "sietzen-2022-vacnnr", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/20099", "title": "Visual Analytics for Convolutional Neural Network Robustness", "date": "2022-04", "abstract": "Convolutional neural networks (CNNs) are a type of machine learning model that is\nwidely used for computer vision tasks. Despite their high performance, the robustness of\nCNNs is often weak. A model trained for image classification might misclassify an image\nwhen it is slightly rotated, blurred, or after a change in color saturation. Moreover, CNNs\nare vulnerable to so-called “adversarial attacks”, methods where analytically computed\nperturbations are generated which fool the classifier despite being imperceptible by\nhumans. Various training methods have been designed to increase robustness in CNNs.\n\nIn this thesis, we investigate CNN robustness with two approaches: First, we visualize\ndifferences between standard and robust training methods. For this, we use feature\nvisualization, a method to visualize the patterns which individual units of a CNN respond\nto. Subsequently, we present an interactive visual analytics application which lets the\nuser manipulate a 3d scene while simultaneously observing a CNN’s prediction, as\nwell as intermediate neuron activations. To be able to compare standard and robustly\ntrained models, the application allows simultaneously observing two models. To test\nthe usefulness of our application, we conducted five case studies with machine learning\nexperts. During these case studies and our own experiments, several novel insights about\nrobustly trained models were made, three of which we verified quantitatively. Despite its\nability to probe two high performing CNNs in real-time, our tool fully runs client-side\nin a standard web-browser and can be served as a static website, without requiring a\npowerful backend server", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "activations", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 420, "image_height": 437, "name": "sietzen-2022-vacnnr-activations.png", "type": "image/png", "size": 219337, "path": "Publication:sietzen-2022-vacnnr", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/sietzen-2022-vacnnr/sietzen-2022-vacnnr-activations.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/sietzen-2022-vacnnr/sietzen-2022-vacnnr-activations:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1373 ], "date_end": "2022-04", "date_start": "2019", "diploma_examina": "2022-05", "matrikelnr": "0372194", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://www.cg.tuwien.ac.at/research/publications/2021/sietzen-2021-perturber/", "caption": "Computer Graphics Forum paper", "description": "Journal paper associated with the thesis", "main_file": 0 }, { "href": "http://perturber.stefansietzen.at/", "caption": "online playground", "description": "Online playground", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "activations", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 420, "image_height": 437, "name": "sietzen-2022-vacnnr-activations.png", "type": "image/png", "size": 219337, "path": "Publication:sietzen-2022-vacnnr", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/sietzen-2022-vacnnr/sietzen-2022-vacnnr-activations.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/sietzen-2022-vacnnr/sietzen-2022-vacnnr-activations:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sietzen-2022-vacnnr-Master thesis.pdf", "type": "application/pdf", "size": 13007795, "path": "Publication:sietzen-2022-vacnnr", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/sietzen-2022-vacnnr/sietzen-2022-vacnnr-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/sietzen-2022-vacnnr/sietzen-2022-vacnnr-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sietzen-2022-vacnnr-poster.pdf", "type": "application/pdf", "size": 1572744, "path": "Publication:sietzen-2022-vacnnr", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/sietzen-2022-vacnnr/sietzen-2022-vacnnr-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/sietzen-2022-vacnnr/sietzen-2022-vacnnr-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/sietzen-2022-vacnnr/", "__class": "Publication" }, { "id": "unterguggenberger-2022-vulkan", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/175673", "title": "The Road to Vulkan: Teaching Modern Low-Level APIs in Introductory Graphics Courses", "date": "2022-04", "abstract": "For over two decades, the OpenGL API provided users with the means for implementing versatile, feature-rich, and portable real-time graphics applications. Consequently, it has been widely adopted by practitioners and educators alike and is deeply ingrained in many curricula that teach real-time graphics for higher education. Over the years, the architecture of graphics processing units (GPUs) incrementally diverged from OpenGL's conceptual design. The more recently introduced Vulkan API provides a more modern, fine-grained approach for interfacing with the GPU. Various properties of this API and overall trends suggest that Vulkan could soon replace OpenGL in many areas. Hence, it stands to reason that educators who have their students' best interests at heart should provide them with corresponding lecture material. However, Vulkan is notoriously verbose and rather challenging for first-time users, thus transitioning to this new API bears a considerable risk of failing to achieve expected teaching goals. In this paper, we document our experiences after teaching Vulkan in an introductory graphics course side-by-side with conventional OpenGL. A final survey enables us to draw conclusions about perceived workload, difficulty, and students' acceptance of either approach and identify suitable conditions and recommendations for teaching Vulkan to undergraduate students.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1545, "image_height": 1041, "name": "unterguggenberger-2022-vulkan-teaser.png", "type": "image/png", "size": 1343937, "path": "Publication:unterguggenberger-2022-vulkan", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/unterguggenberger-2022-vulkan/unterguggenberger-2022-vulkan-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/unterguggenberger-2022-vulkan/unterguggenberger-2022-vulkan-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date,projects,issn", "repositum_presentation_id": null, "authors": [ 848, 1650, 193 ], "booktitle": "Eurographics 2022 - Education Papers", "cfp": { "name": "cfp.pdf", "type": "application/pdf", "error": "0", "size": "566277", "orig_name": "cfp.pdf", "ext": "pdf" }, "date_from": "2022-04-25", "date_to": "2022-04-29", "doi": "10.2312/eged.20221043", "event": "Eurographics 2022", "isbn": "978-3-03868-170-0", "issn": "1017-4656", "lecturer": [ 848 ], "location": "Reims", "open_access": "yes", "pages": "9", "pages_from": "31", "pages_to": "39", "publisher": "The Eurographics Association", "research_areas": [ "Rendering" ], "keywords": [ "vulkan", "gpu", "opengl" ], "weblinks": [ { "href": "https://education.siggraph.org/cgsource/content/road-vulkan-teaching-vulkan-introductory-graphics-courses", "caption": "\"The Road to Vulkan\" at cgSource", "description": "Entry at the ACM SIGGRAPH Education Committee's cgSource repository.", "main_file": 0 }, { "href": "https://github.com/cg-tuwien/VulkanLaunchpad", "caption": "Vulkan Launchpad", "description": "A framework by TU Wien targeted at Vulkan beginners.", "main_file": 1 } ], "files": [ { "description": "The Road to Vulkan: Teaching Modern Low-Level APIs in Introductory Graphics Courses", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "unterguggenberger-2022-vulkan-paper.pdf", "type": "application/pdf", "size": 497883, "path": "Publication:unterguggenberger-2022-vulkan", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/unterguggenberger-2022-vulkan/unterguggenberger-2022-vulkan-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/unterguggenberger-2022-vulkan/unterguggenberger-2022-vulkan-paper:thumb{{size}}.png" }, { "description": "The Road to Vulkan: Teaching Modern Low-Level APIs in Introductory Graphics Courses Slides", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "unterguggenberger-2022-vulkan-slides.pdf", "type": "application/pdf", "size": 3637778, "path": "Publication:unterguggenberger-2022-vulkan", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/unterguggenberger-2022-vulkan/unterguggenberger-2022-vulkan-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/unterguggenberger-2022-vulkan/unterguggenberger-2022-vulkan-slides:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1545, "image_height": 1041, "name": "unterguggenberger-2022-vulkan-teaser.png", "type": "image/png", "size": 1343937, "path": "Publication:unterguggenberger-2022-vulkan", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/unterguggenberger-2022-vulkan/unterguggenberger-2022-vulkan-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/unterguggenberger-2022-vulkan/unterguggenberger-2022-vulkan-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/unterguggenberger-2022-vulkan/", "__class": "Publication" }, { "id": "kerbl-2022-cuda", "type_id": "otherreviewed", "tu_id": null, "repositum_id": null, "title": "CUDA and Applications to Task-based Programming", "date": "2022-04", "abstract": "To provide a profound understanding of how CUDA applications can achieve peak performance, the first two parts of this tutorial outline the modern CUDA architecture. Following a basic introduction, we expose how language features are linked to---and constrained by---the underlying physical hardware components. Furthermore, we describe common applications for massively parallel programming, offer a detailed breakdown of potential issues, and list ways to mitigate performance impacts. An exemplary analysis of PTX and SASS snippets illustrates how code patterns in CUDA are mapped to actual hardware instructions.\n\nIn parts 3 and 4, we focus on novel features that were enabled by the arrival of CUDA 10+ toolkits and the Volta+ architectures, such as ITS, tensor cores, and the graph API. In addition to basic use case demonstrations, we outline our own experiences with these capabilities and their potential performance benefits. We also discuss how long-standing best practices are affected by these changes and describe common caveats for dealing with legacy code on recent GPU models. We show how these considerations can be implemented in practice by presenting state-of-the-art research into task-based GPU scheduling, and how the dynamic adjustment of thread roles and group configurations can significantly increase performance.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1800, "image_height": 1151, "name": "kerbl-2022-cuda-teaser.png", "type": "image/png", "size": 718260, "path": "Publication:kerbl-2022-cuda", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/kerbl-2022-cuda-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/kerbl-2022-cuda-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1650, 1661, 1834, 1662 ], "booktitle": "Eurographics 2022 - Tutorials", "editor": "Stefanie Hahmann and Gustavo Patow", "location": "Reims", "publisher": "The Eurographics Association", "research_areas": [], "keywords": [ "Parallel Programming", "GPU" ], "weblinks": [ { "href": "https://cuda-tutorial.github.io/index.html", "caption": "Tutorial Homepage", "description": "Course notes and code samples for the tutorial", "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kerbl-2022-cuda-paper.pdf", "type": "application/pdf", "size": 798232, "path": "Publication:kerbl-2022-cuda", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/kerbl-2022-cuda-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/kerbl-2022-cuda-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1800, "image_height": 1151, "name": "kerbl-2022-cuda-teaser.png", "type": "image/png", "size": 718260, "path": "Publication:kerbl-2022-cuda", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/kerbl-2022-cuda-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/kerbl-2022-cuda-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/", "__class": "Publication" }, { "id": "kerbl-2022-trienc", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/139870", "title": "An Improved Triangle Encoding Scheme for Cached Tessellation", "date": "2022-04", "abstract": "With the recent advances in real-time rendering that were achieved by embracing software rasterization, the interest in alternative solutions for other fixed-function pipeline stages rises. In this paper, we revisit a recently presented software approach for cached tessellation, which compactly encodes and stores triangles in GPU memory. While the proposed technique is both efficient and versatile, we show that the original encoding is suboptimal and provide an alternative scheme that acts as a drop-in replacement. As shown in our evaluation, the proposed modifications can yield performance gains of 40\\% and more.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1307, "image_height": 853, "name": "kerbl-2022-trienc-teaser.png", "type": "image/png", "size": 43599, "path": "Publication:kerbl-2022-trienc", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/kerbl-2022-trienc-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/kerbl-2022-trienc-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date,event,pages,pages_from,pages_to,publisher,keywords", "repositum_presentation_id": null, "authors": [ 1650, 1772, 877, 193 ], "booktitle": "Eurographics 2022 - Short Papers", "cfp": { "name": "cfp.pdf", "type": "application/pdf", "error": "0", "size": "718298", "orig_name": "cfp.pdf", "ext": "pdf" }, "date_from": "2022-04-25", "date_to": "2022-04-29", "doi": "10.2312/egs.20221031", "editor": "Pelechano, Nuria and Vanderhaeghe, David", "event": "Eurographics 2022", "first_published": "2022", "isbn": "978-3-03868-169-4", "issn": "1017-4656", "lecturer": [ 1650 ], "location": "Reims", "open_access": "yes", "pages_from": "1", "pages_to": "4", "research_areas": [ "Geometry", "Rendering" ], "keywords": [ "gpu", "real-time", "tessellation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kerbl-2022-trienc-paper.pdf", "type": "application/pdf", "size": 2336032, "path": "Publication:kerbl-2022-trienc", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/kerbl-2022-trienc-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/kerbl-2022-trienc-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1307, "image_height": 853, "name": "kerbl-2022-trienc-teaser.png", "type": "image/png", "size": 43599, "path": "Publication:kerbl-2022-trienc", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/kerbl-2022-trienc-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/kerbl-2022-trienc-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/", "__class": "Publication" }, { "id": "lippeck-2022-mna", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "3D Graph Algorithm for Multilayer Network Analytics", "date": "2022-04", "abstract": "Simple graphs are often not able to accurately represent real world entities. Therefore, more complex data structures have been introduced, one of which is the so-called “multilayer network”. Multilayer networks are used in multiple fields, such as medical\nscience, where data can represent the correlation of diseases or social science, where data\nmight represent different actors and their relationship to one another.\n\nVisualizing these complex data types is particularly challenging, as two-dimensional\nvisualizations - the gold standard for graph visualizations - are often not good enough\nto gather deeper insight into the data, as big datasets quickly fill two-dimensional\nvisualizations with visual clutter. Therefore, this thesis introduces a new visualization\ntechnique for multilayer networks by extending existing 2d state-of-the-art methods with\na third dimensions.\n\nOur solution visualizes the layers as sub graphs on a two-dimensional plane, which are\npositioned around a sphere. To optimize the layout within the layer for multilayer networks,\nour solution calculates the position of individual nodes by considering connections\nwithin the same layer, as well as connections to other layers. To minimize visual clutter,\nedge bundling was implemented, additionally to a view, which restricts the visualization\nto nodes and edges of a single layer, as well as connections to nodes of other layers. Our\nresults show that our solution with the additional space due to the third dimension,\ncombined with an optimized layout, allows users to visualize larger networks and gather\nbetter insight into the data, compared to conventional two-dimensional", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 658, "image_height": 610, "name": "lippeck-2022-mna-teaser.PNG", "type": "image/png", "size": 291615, "path": "Publication:lippeck-2022-mna", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/lippeck-2022-mna/lippeck-2022-mna-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/lippeck-2022-mna/lippeck-2022-mna-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1926 ], "date_end": "2022-04", "date_start": "2021", "matrikelnr": "11776883", "supervisor": [ 1072, 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": { "1": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 658, "image_height": 610, "name": "lippeck-2022-mna-teaser.PNG", "type": "image/png", "size": 291615, "path": "Publication:lippeck-2022-mna", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/lippeck-2022-mna/lippeck-2022-mna-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/lippeck-2022-mna/lippeck-2022-mna-teaser:thumb{{size}}.png" }, "2": { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "lippeck-2022-mna-thesis.pdf", "type": "application/pdf", "size": 4906915, "path": "Publication:lippeck-2022-mna", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/lippeck-2022-mna/lippeck-2022-mna-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/lippeck-2022-mna/lippeck-2022-mna-thesis:thumb{{size}}.png" } }, "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/lippeck-2022-mna/", "__class": "Publication" }, { "id": "celarek-2022-gmcn", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/188182", "title": "Gaussian Mixture Convolution Networks", "date": "2022-04", "abstract": "This paper proposes a novel method for deep learning based on the analytical convolution of multidimensional Gaussian mixtures.\nIn contrast to tensors, these do not suffer from the curse of dimensionality and allow for a compact representation, as data is only stored where details exist.\nConvolution kernels and data are Gaussian mixtures with unconstrained weights, positions, and covariance matrices.\nSimilar to discrete convolutional networks, each convolution step produces several feature channels, represented by independent Gaussian mixtures.\nSince traditional transfer functions like ReLUs do not produce Gaussian mixtures, we propose using a fitting of these functions instead.\nThis fitting step also acts as a pooling layer if the number of Gaussian components is reduced appropriately.\nWe demonstrate that networks based on this architecture reach competitive accuracy on Gaussian mixtures fitted to the MNIST and ModelNet data sets.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1500, "image_height": 1367, "name": "celarek-2022-gmcn-teaser.png", "type": "image/png", "size": 720960, "path": "Publication:celarek-2022-gmcn", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1013, 1919, 1650, 951, 193 ], "booktitle": "The Tenth International Conference on Learning Representations (ICLR 2022)", "cfp": { "name": "ICLR2022_Call for Papers.pdf", "type": "application/pdf", "error": "0", "size": "32122", "orig_name": "ICLR2022_Call for Papers.pdf", "ext": "pdf" }, "event": "ICLR | 2022", "lecturer": [ 1013 ], "open_access": "yes", "pages_from": "1", "pages_to": "23", "publisher": "OpenReview.org", "research_areas": [ "Geometry" ], "keywords": [], "weblinks": [ { "href": "https://github.com/cg-tuwien/Gaussian-Mixture-Convolution-Networks", "caption": "Code on github", "description": null, "main_file": 1 }, { "href": "https://openreview.net/forum?id=Oxeka7Z7Hor", "caption": "Paper on OpenReview", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "celarek-2022-gmcn-paper.pdf", "type": "application/pdf", "size": 5943864, "path": "Publication:celarek-2022-gmcn", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1500, "image_height": 1367, "name": "celarek-2022-gmcn-teaser.png", "type": "image/png", "size": 720960, "path": "Publication:celarek-2022-gmcn", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "EVOCATION", "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/", "__class": "Publication" }, { "id": "Staudacher_2022", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "3D-Printing to Understand Complex Topologies", "date": "2022-03-18", "abstract": "In education and teaching, the way a topic or a concept is presented can be an important factor in how easily and thoroughly it can be grasped by students. The goal of this thesis project is to make a complex subject tangible, in this case the three-dimensional appearance of a mathematical term describing a certain topology and the way it is shaped by its parameters.\nThe approach involves 3D-fabrication of such artefacts in an attempt at providing a helpful tool to comprehend the peculiarities of such objects. A software program was created to preview and manipulate topological objects from their parameterized representations as part of this thesis. Once the shape resembles the intentions of the user, the data can be exported in a format that is suitable for further processing and finally “3D-printing”.\nThe proof-of-concept software as well as other auxiliary tools described in this document can be used to produce physical 3D-artefacts of the described models. While it might be seen as a starting point to elaborate further on this topic, some issues become apparent throughout each of the steps leading from the selection of the object, the preparation before fabrication all the way to the real-world artefacts that were created. Any future work might want to consider these issues and possibly find better solutions to work around given limitations, and maybe find inspiration in the suggested propositions.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 639, "image_height": 363, "name": "Staudacher_2022-Image.JPG", "type": "image/jpeg", "size": 48445, "path": "Publication:Staudacher_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/Staudacher_2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/Staudacher_2022-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1347 ], "date_end": "2022-03-18", "date_start": "2017-09-10", "matrikelnr": "00825724", "supervisor": [ 166 ], "research_areas": [ "Fabrication" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Staudacher_2022-Bachelor thesis.pdf", "type": "application/pdf", "size": 8411448, "path": "Publication:Staudacher_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/Staudacher_2022-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/Staudacher_2022-Bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 639, "image_height": 363, "name": "Staudacher_2022-Image.JPG", "type": "image/jpeg", "size": 48445, "path": "Publication:Staudacher_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/Staudacher_2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/Staudacher_2022-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/", "__class": "Publication" }, { "id": "FRAISS-2022-CGMM", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/19748", "title": "Construction and Visualization of Gaussian Mixture Models from Point Clouds for 3D Object Representation", "date": "2022-03-10", "abstract": "Point clouds are a common representation of three-dimensional shapes in computer graphics\nand 3D-data processing. However, in some applications, other representations are more useful.\nGaussian Mixture Models (GMMs) can be used as such an alternative representation. A GMM\nis a convex sum of normal distributions, which aims to describe a point cloud’s density. In\nthis thesis, we investigate both visualization and construction of GMMs. For visualization,\nwe have implemented a tool that enables both isoellipsoid and density visualization of GMMs.\nWe describe the mathematical backgrounds, the algorithms, and our implementation of this\ntool. Regarding GMM construction, we investigate several algorithms used in previous papers\nfor constructing GMMs for 3D-data processing tasks. We present our implementations of the\nexpectation-maximization (EM) algorithm and top-down HEM. Additionally, we have adapted\nthe implementation of geometrically regularized bottom-up HEM to produce a fixed number of\nGaussians. We evaluate these three algorithms in terms of the quality of their generated GMMs.\nIn many cases, the statistical likelihood, which is maximized by the EM algorithm, is not a\nreliable indicator for a GMM’s quality. Therefore, we instead rely on the reconstruction error of a\nreconstructed point cloud based on the Chamfer distance. Additionally, we provide metrics for\nmeasuring the reconstructed point cloud’s uniformity and the GMM’s variation of Gaussians. We\ndemonstrate that EM provides the best results in terms of these metrics. Top-down HEM is a fast\nalternative, and can produce even better results when using fewer input points. The results of\ngeometrically regularized bottom-up HEM are inferior for lower numbers of Gaussians but it can\ncreate good GMMs consisting of high numbers of Gaussians very eciently.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1380, "image_height": 1850, "name": "FRAISS-2022-CGMM-image.jpg", "type": "image/jpeg", "size": 376815, "path": "Publication:FRAISS-2022-CGMM", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1495 ], "co_supervisor": [ 1013 ], "date_end": "2022-03-10", "date_start": "2021-01-01", "diploma_examina": "2022-03-10", "matrikelnr": "01425602", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1380, "image_height": 1850, "name": "FRAISS-2022-CGMM-image.jpg", "type": "image/jpeg", "size": 376815, "path": "Publication:FRAISS-2022-CGMM", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "FRAISS-2022-CGMM-Master thesis.pdf", "type": "application/pdf", "size": 20842982, "path": "Publication:FRAISS-2022-CGMM", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "FRAISS-2022-CGMM-poster.pdf", "type": "application/pdf", "size": 4483975, "path": "Publication:FRAISS-2022-CGMM", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "EVOCATION" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/", "__class": "Publication" }, { "id": "podkosova_2022_bimflexi-vr", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "BIMFlexi-VR: A Virtual Reality Framework for Early-Stage Collaboration in Flexible Industrial Building Design ", "date": "2022-02-25", "abstract": "Integrated industrial building design is an interdisciplinary task, in which planning of flexible building structures requires effective communication and collaboration between all stakeholders already in early design stage. This paper presents BIMFlexi-VR, a collaborative framework which implements a real-time bidirectional link between a parametric modelling component created in Grasshopper for Rhinoceros that performs optimized structural calculations of an industrial building, and an immersive Virtual Reality environment in which the automatically calculated building is visualized. Users of BIMFlexi-VR are able to change parameters defining the outcome of the structural calculation directly inside the virtual environment and see the modified building design together with the associated fitness metrics in a matter of seconds. Providing an efficient and intuitive platform for early exploration of industrial building designs, BIMFlexi-VR enables collaborative decision making and facilitates the creation of more efficient and sustainable industrial constructions.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 365, "image_height": 329, "name": "podkosova_2022_bimflexi-vr-.JPG", "type": "image/jpeg", "size": 32979, "path": "Publication:podkosova_2022_bimflexi-vr", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/podkosova_2022_bimflexi-vr/podkosova_2022_bimflexi-vr-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/podkosova_2022_bimflexi-vr/podkosova_2022_bimflexi-vr-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1945, 1874, 378, 1799 ], "doi": "10.3389/frvir.2022.782169", "first_published": "2022-02", "issn": "2673-4192", "journal": "Frontiers in Virtual Reality", "open_access": "yes", "pages_from": "1", "pages_to": "13", "volume": "3", "research_areas": [ "VR" ], "keywords": [ "Virtual Reality in Industry 4.0", "Collaborative BIM", "VR in AEC" ], "weblinks": [ { "href": "https://www.frontiersin.org/article/10.3389/frvir.2022.782169", "caption": "BimFlexi-VR", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 365, "image_height": 329, "name": "podkosova_2022_bimflexi-vr-.JPG", "type": "image/jpeg", "size": 32979, "path": "Publication:podkosova_2022_bimflexi-vr", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/podkosova_2022_bimflexi-vr/podkosova_2022_bimflexi-vr-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/podkosova_2022_bimflexi-vr/podkosova_2022_bimflexi-vr-:thumb{{size}}.png" } ], "projects_workgroups": [ "BimFlexi" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/podkosova_2022_bimflexi-vr/", "__class": "Publication" }, { "id": "szabo_patrik-2022-tour", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Tour of Life: A Game of Life Learning Experience", "date": "2022-02-02", "abstract": "Although the concept behind the Game of Life cellular automaton has been explored\ndeeply in the past, it is still difficult to find proper resources on this topic that would\nallow those with little to no experience in the field of IT to properly understand it. No\nsingular solution exists that explains the algorithm behind the automaton, lets the user\ninteract with the simulation, and provides explanations regarding the most common\nbuilding blocks of Life, all in one place. The goal of this bachelor thesis is to create\nan online learning tool, that would enable people with little computer knowledge, to\nengage with the automaton. This is done by offering a range of interactive lessons on\nthe Game of Life, together with a high degree of customizability of the simulation itself.\nAn additional goal of this project is to include a 3D interpretation of the Game of Life\nautomaton, adjusting the algorithm accordingly, allowing users to experiment with the\nadditional third dimension.\nThe Game of Life not being a fresh topic, related work has been researched and compared,\nand the results are laid out below. In addition to the developed web application, this\nthesis goes deeper in exploring the concepts of a Turing machine and Turing complete\nsystems, such as the Game of Life itself. Implementation details are presented, as well as\nideas for the future development of the so-called “Tour of Life”, and its potential features.\nThe results of this work are publicly available, the link to the Tour of Life website can be\nfound at the end of this thesis", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1262, "image_height": 881, "name": "szabo_patrik-2022-tour-.png", "type": "image/png", "size": 46452, "path": "Publication:szabo_patrik-2022-tour", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/szabo_patrik-2022-tour-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/szabo_patrik-2022-tour-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5319 ], "date_end": "2022-02", "date_start": "2021-09", "matrikelnr": "11811341", "supervisor": [ 166, 1813 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1262, "image_height": 881, "name": "szabo_patrik-2022-tour-.png", "type": "image/png", "size": 46452, "path": "Publication:szabo_patrik-2022-tour", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/szabo_patrik-2022-tour-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/szabo_patrik-2022-tour-:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "szabo_patrik-2022-tour-thesis.pdf", "type": "application/pdf", "size": 2491189, "path": "Publication:szabo_patrik-2022-tour", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/szabo_patrik-2022-tour-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/szabo_patrik-2022-tour-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/", "__class": "Publication" }, { "id": "Vasileva_2022", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/19635", "title": "Immersive Visual Analysis of Time-Dependent Multivariate Data Using Virtual Reality", "date": "2022-02-02", "abstract": "The prevention of Earth disasters like asteroid collisions is a high priority for many organizations and scientists. Studying possible asteroid deflection options and understanding the influencing factors should help domain experts create defense strategies and response plans. For exploration purposes, scientists typically use simulations that represent a real-world process over time and are thus an effective way for demonstrating\nan asteroid impact collision and its after-effects. In this work we use an interactive Virtual Reality (VR) visualization tool to make simulation results comprehensible. Immersive systems like VR are used in different application domains and for multiple purposes,\nsuch as entertainment, medical or military training, rehabilitation and mental therapy, visualization, and visual analytics. With the help of VR software and the necessary hardware of immersive systems, realistic images and 3D scenes from the real world can be rendered to create the feeling of full immersion and presence.\nBased on these considerations, in this work, we develop an interactive visualization tool in VR to support domain experts in studying the properties and features of asteroid impact events for defense purposes. We use time-dependent multivariate Impact simulation data. The implementation requirements are formulated together with domain experts in the form of tasks and represent the main features that the system should include.\nAs a result, the system incorporates a 3D point cloud visualization to illustrate the impact and the data structure and various exploration tools to analyze and examine the point cloud properties. The central tool in the system is called a probe, allowing to measure the characteristics of different regions, compare them, and observe state changes during simulation time. While effective exploration is the primary goal of our\nsystem, interactivity is another important factor contributing to achieving a smooth and natural experience. Therefore, we provide various grasping and navigation techniques to support an intuitive and effortless system interaction. As the selection of exploration tools is essential for the domain experts and for solving their tasks, we first evaluate our\nsystem with them to answer whether the system is providing the necessary features and is fulfilling their requirements. Another important aspect is the interactivity and usability of our system, which we evaluate through a user study. As we show in our evaluation experiments, our VR system eases the exploration process for scientists. It supports them\nin finding new and previously undiscovered properties, patterns, and trends in the data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1052, "image_height": 312, "name": "Vasileva_2022-Image.JPG", "type": "image/jpeg", "size": 62399, "path": "Publication:Vasileva_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1593 ], "co_supervisor": [ 1387 ], "date_end": "2022-02-02", "date_start": "2020-09-02", "diploma_examina": "2022-02-02", "matrikelnr": "01426939", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1052, "image_height": 312, "name": "Vasileva_2022-Image.JPG", "type": "image/jpeg", "size": 62399, "path": "Publication:Vasileva_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Vasileva_2022-Master Thesis.pdf", "type": "application/pdf", "size": 20112809, "path": "Publication:Vasileva_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Vasileva_2022-Poster.pdf", "type": "application/pdf", "size": 3709865, "path": "Publication:Vasileva_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/", "__class": "Publication" }, { "id": "Lackner_2022", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Integrating GPU-based fluid simulation with Metaball rendering", "date": "2022-02-02", "abstract": "Fluid simulation is among the most researched topics in computer graphics. This is due to the fact that realistic fluid simulations are of first importance in many fields. The scope involves special effects in movies, animation in games, engineering and medical applications. Being one of the most researched topics of the field, there is a plethora of implementations and methods that have been discussed in extensive detail. Especially modern implementations focus on harnessing the GPU’s advantage in calculating a multitude of operations at once, to create a realistic result while also maintaining solid\nperformance.\nThis bachelor’s thesis discusses fluid simulation on the GPU. More specifically, it implements a GPU-based simulation method and combines it with an implicit modelling procedure provided by my advisor, Stefan Bruckner. The goal of the thesis is thereby to provide a fast, sufficiently realistic fluid simulation and discuss its implementation, results and performance.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 769, "image_height": 592, "name": "Lackner_2022-Image.JPG", "type": "image/jpeg", "size": 36324, "path": "Publication:Lackner_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/Lackner_2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/Lackner_2022-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1917 ], "date_end": "2022-02-02", "date_start": "2021-05-07", "matrikelnr": "11716989", "supervisor": [ 161 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Lackner_2022-Bachelor thesis.pdf", "type": "application/pdf", "size": 4936075, "path": "Publication:Lackner_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/Lackner_2022-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/Lackner_2022-Bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 769, "image_height": 592, "name": "Lackner_2022-Image.JPG", "type": "image/jpeg", "size": 36324, "path": "Publication:Lackner_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/Lackner_2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/Lackner_2022-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/", "__class": "Publication" }, { "id": "pernsteiner-2022-msh", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Improvements and Additional Features for a Mesh Shader-Based Research Project", "date": "2022-02", "abstract": "New mesh shader graphics pipelines allow fine grained processing of input geometry which is split into small chunks of geometery---so called \"meshlets\". \nTo match geometry processing efficiency of classical shader stages (from vertex to geometry shaders), an optimized mesh shader implementation is required using the two new tightly-coupled shader stages: task shaders, and mesh shaders. Fine-grained view frustum and backface culling on a per-meshlet basis further improve performance.", "authors_et_al": false, "substitute": null, "main_image": { "description": "View Frustum Culling on a per-meshlet basis in action.", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 738, "image_height": 737, "name": "pernsteiner-2022-msh-image.png", "type": "image/png", "size": 525953, "path": "Publication:pernsteiner-2022-msh", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/pernsteiner-2022-msh/pernsteiner-2022-msh-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/pernsteiner-2022-msh/pernsteiner-2022-msh-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1795 ], "date_end": "2022-02-08", "date_start": "2021-03-01", "matrikelnr": "01627767", "note": "\"Gawain\" 3D model (c) Unity Technologies, provided through their \"The Heretic: Digital Human\" package.", "supervisor": [ 848, 1650, 193 ], "research_areas": [ "Rendering" ], "keywords": [ "Meshlets", "Mesh Shader", "Task Shader" ], "weblinks": [ { "href": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/", "caption": "paper page", "description": "Conservative Meshlet Bounds for Robust Culling of Skinned Meshes", "main_file": 1 }, { "href": "https://github.com/cg-tuwien/Auto-Vk-Toolkit", "caption": "Auto-Vk-Toolkit on GitHub", "description": "Programming framework that has been used.", "main_file": 1 } ], "files": [ { "description": "View Frustum Culling on a per-meshlet basis in action.", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 738, "image_height": 737, "name": "pernsteiner-2022-msh-image.png", "type": "image/png", "size": 525953, "path": "Publication:pernsteiner-2022-msh", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/pernsteiner-2022-msh/pernsteiner-2022-msh-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/pernsteiner-2022-msh/pernsteiner-2022-msh-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/pernsteiner-2022-msh/", "__class": "Publication" }, { "id": "horvath_imp", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Improved Triangle Encoding for Cached Adaptive Tessellation", "date": "2022-02", "abstract": "Changing the vertex count of a given geometry through hardware tessellation on the GPU is limited by today’s standards. The capped edge splits (64 splits per edge) as well as increasingly worse performance with deeper levels certainly leaves room for improvement. So in the meantime, software-based solutions using GPU shaders provide much more flexibility as well as features. One possible solution, which we will be focusing on, was presented by Jad Khoury [KDR18] in 2018 which implements a tessellation cache on the GPU. This enables the tessellation step to not only reuse the data of the previous frame but also makes it adaptive by only having to calculate the changes since the last frame. The adaptive cache improves tessellation performance at the cost of memory on the GPU but their particular implementation still slows down on deeper tessellation levels because of the recursive nature of their algorithm. Our work replaces their recursive algorithm with a constant-time solution by exploiting the grid structure of their tessellated geometry.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2447, "image_height": 1295, "name": "horvath_imp-teaser.png", "type": "image/png", "size": 2192194, "path": "Publication:horvath_imp", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/horvath_imp-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/horvath_imp-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1772 ], "date_end": "2022-02-07", "date_start": "2020-01-01", "matrikelnr": "01525536", "supervisor": [ 193, 1650 ], "research_areas": [ "Rendering" ], "keywords": [ "tessellation", "gpu" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2447, "image_height": 1295, "name": "horvath_imp-teaser.png", "type": "image/png", "size": 2192194, "path": "Publication:horvath_imp", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/horvath_imp-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/horvath_imp-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "horvath_imp-thesis.pdf", "type": "application/pdf", "size": 7663547, "path": "Publication:horvath_imp", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/horvath_imp-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/horvath_imp-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/", "__class": "Publication" }, { "id": "rumpelnik-2022-vlk", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Productivity Features for a C++/Vulkan Rendering Framework and Modernization of Its Code Base", "date": "2022-02", "abstract": "

Serializer Support:
\nLoading resources such as large 3D models or ORCA scenes can take a long time when using ASSIMP to parse the files on every program start. The serializer saves the parsed data in a binary cache file, which is used on subsequent program executions to greatly reduce loading times.

\n\n

ImGui Image Support:
\nImGui does not have a way to display user textures when using vulkan as a backend. A custom extension to ImGui was implemented which is nicely integrated, manages DescriptorSets and does not break for future ImGui updates.

\n\n

Replacing CPPLINQ with C++Ranges:
\nReplaced CPPLINQ with the similar C++20 std::ranges due to license concerns and to use a standard and futureproof feature instead.

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[PCBS16] names\n3D surface reconstruction, environment monitoring, natural events management, and\nforensic science as possible application scenarios. In this work, we introduce software\nthat scans an area at two different points in time and detects the changes between these\nscans. The software is based on InfiniTAM [PKG+17], a framework released under an\nOxford University License. InfiniTAM integrates multiple depth images (e.g. recorded\nwith a Kinect-V2-Camera) to a 3D model using volumetric representations. Because of\nthe volumetric representation and the fast GPU computation, the change detection can\nhappen in real-time. This is outstanding because in other approaches, (like [PCBS16])\nthe change detection can take minutes. Other approaches that detect changes in real-time\n(like [KMK+19]) use the same representation of data (T-SDF) as we do. Our approach\nalso takes sensor tolerance into account, which leads to a reduction of false change\ndetections. This work can be seen as a starting point for more specific use cases (like\n[LTW+21]) who specify on scene change detection and overcoming unnecessary changes\nsuch as light and seasons.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1065, "image_height": 628, "name": "steinschauer-2020-baa-image.png", "type": "image/png", "size": 679657, "path": "Publication:steinschauer-2020-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinschauer-2020-baa/steinschauer-2020-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinschauer-2020-baa/steinschauer-2020-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1755 ], "date_end": "2022-01-24", "date_start": "2020-03-23", "matrikelnr": 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"Publication:steinschauer-2020-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinschauer-2020-baa/steinschauer-2020-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinschauer-2020-baa/steinschauer-2020-baa-image:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinschauer-2020-baa/", "__class": "Publication" }, { "id": "kouril_2022_paper", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "How to ACTUALLY write papers", "date": "2022-01-21", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 419, "image_height": 342, "name": "kouril_2022_paper-.JPG", "type": "image/jpeg", "size": 42330, "path": "Publication:kouril_2022_paper", "url": 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"https://www.cg.tuwien.ac.at/research/publications/2022/kouril_2022_paper/kouril_2022_paper-:thumb{{size}}.png" }, { "description": null, "filetitle": "Slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kouril_2022_paper-Slides.pdf", "type": "application/pdf", "size": 25887857, "path": "Publication:kouril_2022_paper", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kouril_2022_paper/kouril_2022_paper-Slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kouril_2022_paper/kouril_2022_paper-Slides:thumb{{size}}.png" }, { "description": "Recorded Talk", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kouril_2022_paper-Video.mp4", "type": "video/mp4", "size": 521416743, "path": "Publication:kouril_2022_paper", "url": 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Since technology has advanced it is finally possible to discover the arrangements of the single atoms in molecules. With this data, complex systems like viruses, bacteria and cells, made out of millions of atoms can be modeled. Such systems are often called biological mesoscale structures and many visualization techniques have been developed to model them. This is not an easy task as such systems are very complex and need a lot of processing time to render. An essential part of the visualization is the collision detection and resolving as in the real world molecules do not overlap. We reimplemented the Fast Fixed-Radius Nearest Neighbors\nalgorithm that was designed by Hoetzlein to find all colliding pairs of atoms, calculated forces which are then applied on the molecules in order to resolve the overlaps. To test this method we constructed a model of a lipid bilayer and found that it was able to resolve\ncollisions with up to four million atoms in real time. We reviewed further improvements of our algorithm and are positive that it can be used as a efficient collision detection for mesoscale environments.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1774, "image_height": 894, "name": "Pauschenwein_2022-Image.jpg", "type": "image/jpeg", "size": 381206, "path": "Publication:Pauschenwein_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1915 ], "date_end": "2022-01-11", "date_start": "2021-06-01", "matrikelnr": "01427350", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Pauschenwein_2022-Bachelor thesis.pdf", "type": "application/pdf", "size": 6828703, "path": "Publication:Pauschenwein_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1774, "image_height": 894, "name": "Pauschenwein_2022-Image.jpg", "type": "image/jpeg", "size": 381206, "path": "Publication:Pauschenwein_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Pauschenwein_2022-Video.mp4", "type": "video/mp4", "size": 15305391, "path": "Publication:Pauschenwein_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/", "__class": "Publication" }, { "id": "lee-2022-p", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/175618", "title": "Preface", "date": "2022-01-01", "abstract": "This February 2022 issue of the IEEE Transactions on Visualization and Computer Graphics (TVCG) contains the proceedings of IEEE VIS 2021, held online on October 24-29, 2021, with General Chairs from Tulane University and Universidade de Sao Paulo. With IEEE VIS 2021, the conference series is in its 32nd year.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1453, 966, 1186, 5243, 5244, 5245, 5246, 5247, 166, 1476, 563, 5248, 5249, 5250, 5251, 1527, 5252, 5253 ], "doi": "10.1109/TVCG.2021.3114891", "issn": "1941-0506", "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "1", "pages": "10", "pages_from": "xiv", "pages_to": "xxiii", "publisher": "Institute of Electrical and Electronics Engineers (IEEE)", "volume": "28", "research_areas": [], "keywords": [ "visualization", "visual analytics" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/lee-2022-p/", "__class": "Publication" }, { "id": "louis-alexandre_dit_petit-frere-2022-veo", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/80545", "title": "Visual Exploration of Indirect Biases in Natural Language Processing Transformer Models", "date": "2022", "abstract": "In recent years, the importance of Natural Language Processing has been increasing with more and more fields of application. The word representations, such as word embedding or transformer models, used to transcribe the language are trained using large text corpora that may include stereotypes. These stereotypes may be learned by Natural Language Processing algorithms and lead to biases in their results. Extensive research has been performed on the detection, repair and visualization of the biases in the field of Natural Language Processing. Nevertheless, the methods developed so far mostly focus on word embeddings, or direct and binary biases.To fill the research gap regarding multi-class indirect biases learned by transformer models, this thesis proposes new visualisation interfaces to explore indirect and multi-class biases learned by BERT and XLNet models. These visualisations are based on an indirect quantitative method to measure the potential biases encapsulated in transformer models, the Indirect Logarithmic Probability Bias Score. This metric is adapted from an existing one, to enable the investigation of indirect biases. The evaluation of our new indirect method shows that it enables to reveal known biases and to discover new insights which could not be found using the direct method. Moreover, the user study performed on our visualization interfaces demonstrates that the visualizations supports the exploration of multi-class indirect biases, even though improvements may be needed to fully assist the investigation of the sources of the biases.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 959, "image_height": 253, "name": "louis-alexandre_dit_petit-frere-2022-veo-teaser.png", "type": "image/png", "size": 23473, "path": "Publication:louis-alexandre_dit_petit-frere-2022-veo", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/louis-alexandre_dit_petit-frere-2022-veo/louis-alexandre_dit_petit-frere-2022-veo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/louis-alexandre_dit_petit-frere-2022-veo/louis-alexandre_dit_petit-frere-2022-veo-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5211 ], "date_end": "2022-11", "date_start": "2022-01", "diploma_examina": "2022-11-21", "doi": "10.34726/hss.2022.99921", "matrikelnr": "12024728", "open_access": "yes", "pages": "134", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [ "visual exploration", "visual analytics", "natural language processing", "bias", "transformer models" ], "weblinks": [ { "href": "https://judith-la.github.io/IndirectBiasTransformerModels/Visualization1/Indirect_Biases_Exploration_Vis1.html", "caption": "Table View", "description": null, "main_file": 0 }, { "href": "https://judith-la.github.io/IndirectBiasTransformerModels/Visualization2/Indirect_Biases_Exploration_Vis2.html", "caption": "Scatterplot", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "louis-alexandre_dit_petit-frere-2022-veo-Master thesis.pdf", "type": "application/pdf", "size": 3034845, "path": "Publication:louis-alexandre_dit_petit-frere-2022-veo", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/louis-alexandre_dit_petit-frere-2022-veo/louis-alexandre_dit_petit-frere-2022-veo-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/louis-alexandre_dit_petit-frere-2022-veo/louis-alexandre_dit_petit-frere-2022-veo-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 959, "image_height": 253, "name": "louis-alexandre_dit_petit-frere-2022-veo-teaser.png", "type": "image/png", "size": 23473, "path": "Publication:louis-alexandre_dit_petit-frere-2022-veo", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/louis-alexandre_dit_petit-frere-2022-veo/louis-alexandre_dit_petit-frere-2022-veo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/louis-alexandre_dit_petit-frere-2022-veo/louis-alexandre_dit_petit-frere-2022-veo-teaser:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/louis-alexandre_dit_petit-frere-2022-veo/", "__class": "Publication" }, { "id": "ohrhallinger-2022-e2t", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/153676", "title": "ECCV 2022 Tutorial on Outline and Shape Reconstruction in 2D", "date": "2022", "abstract": "Outline and shape reconstruction from unstructured points in a plane is a fundamental problem with many applications that has generated research interest for decades. Involved aspects like handling open, sharp, multiple and non-manifold outlines, run-time and provability as well as potential extension to 3D for surface reconstruction have led to many different algorithms. This multitude of reconstruction methods with quite different strengths and focus makes it a difficult task for users to choose a suitable algorithm for their specific problem. In this tutorial, we present proximity graphs, graph-based algorithms, algorithms with sampling guarantees, all in detail. Then, we show algorithms targeted at specific problem classes, such as reconstructing from noise, outliers, or sharp corners. Examples of the evaluation will show how its results can guide users to select an appropriate algorithm for their input data. As a special application, we show reconstruction of lines from sketches that can intersect themselves. Shape characterization of dot patterns will be shown as an additional field closely related to boundary reconstruction.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948, 1825, 1828 ], "date_from": "22-10-23", "date_to": "22-10-27", "event": "ECCV 2022", "lecturer": [ 948, 1825, 1828 ], "location": "Tel Aviv", "research_areas": [], "keywords": [ "outline shape reconstruction" ], "weblinks": [], "files": [], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger-2022-e2t/", "__class": "Publication" }, { "id": "wang-sukalia-2022-mom", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/20243", "title": "Many-Objective Optimization for Maximum Flexibility in Industrial Building Design", "date": "2022", "abstract": "Industrial buildings often have a very short lifespan due to inflexible design of load bearing structures. Frequently changing production processes often lead to demolition of industrial buildings because these buildings cannot be adapted to the new requirements. This work is part of the BIMFlexi project, whose goal is to develop an integrated Building Information Modeling (BIM) based platform to connect all stakeholders in a building planning process to design flexible and sustainable industrial buildings. In this work a many-objective optimization tool is presented to support decision makers during the design phase. The tool is built on top of a parametric framework for load bearing structure generation. By presenting multiple optimized load bearing structures with different properties decision makers can make informed decisions about trade-offs between cost, environmental impacts and flexibility of a load bearing structure. The tool has been studied in two different ways. A user study was conducted to verify its usabilityand usefulness. A second study compared three different evolutionary algorithms to find the best fitting algorithm for industrial building optimization.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 461, "image_height": 410, "name": "wang-sukalia-2022-mom-.JPG", "type": "image/jpeg", "size": 34096, "path": "Publication:wang-sukalia-2022-mom", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wang-sukalia-2022-mom/wang-sukalia-2022-mom-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wang-sukalia-2022-mom/wang-sukalia-2022-mom-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1876 ], "doi": "10.34726/hss.2022.80767", "open_access": "yes", "pages": "75", "supervisor": [ 378 ], "research_areas": [], "keywords": [ "Many-objective optimization", "Multi-objective optimization", "Evolutionary algorithm", "Automated structural layout generation", "Integrated industrial building design", "Flexible industrial building" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 461, "image_height": 410, "name": "wang-sukalia-2022-mom-.JPG", "type": "image/jpeg", "size": 34096, "path": "Publication:wang-sukalia-2022-mom", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wang-sukalia-2022-mom/wang-sukalia-2022-mom-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wang-sukalia-2022-mom/wang-sukalia-2022-mom-:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wang-sukalia-2022-mom-Master thesis.pdf", "type": "application/pdf", "size": 2808088, "path": "Publication:wang-sukalia-2022-mom", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wang-sukalia-2022-mom/wang-sukalia-2022-mom-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wang-sukalia-2022-mom/wang-sukalia-2022-mom-Master thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wang-sukalia-2022-mom/", "__class": "Publication" }, { "id": "wissmann-2022-alb", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/139145", "title": "Anatomy-Driven Layouting for Brain Network Visualization", "date": "2022", "abstract": "Technological advances have dramatically expanded our ability to collect data of neural connectivity in the brain and apply this data in the field of connectomics. The focus of research is thus increasingly shifting towards the analysis of this complex data. Many applications visualize neurological data in three-dimensional space. However, these require interactivity to view hidden data and are not always applicable. To support neuroscientific research we present Spatial-Data-Driven Layouts, a novel web-tool to visualize neuronal networks of multiple species in two-dimensional space. Our method is data-driven and is therefore independent of species or perspective. We generate node-link diagrams where nodes represent brain regions, while the edges correspond the connectivity. To realize this data-driven approach we apply Parcellation-derived Connectivity, generated from brain atlases in combination with a standard force-directed graph layout algorithm. We provide further guidance by visually encoding anatomical context of the underlying brain hierarchy. Colored parcellations in the background encapsulate and cluster nodes that belong to the same super-regions. Additionally the background provides an overall shape, similar to the brain and is independent of the graph’s completeness, facilitating the comparison of sub-networks with each other as well as with the entire network. The background is customizable in terms of anatomical details to reflect either the anatomical size or the number of connections per region.We conduct case studies for two species, mouse and human, to validate our visualizations and show that the spatial distribution of nodes reflects the anatomy of the brain. Nodes are adjacent to each other if they also represent neighboring regions in the reference space.The results provided by Spatial-Data-Driven Layouts are evaluated in a web-based user study involving domain experts in neuroscience, computer science, computational science, bioinformatics, and computational biology. Evaluating the studies for two different species, mouse and human, shows that our methodology can be applied data-driven and species-independent. The feedback obtained from the experts indicates clear potential.Spatial-Data-Driven Layouts quickly and easily recreate illustrations in literature that usually are created with a great deal of effort. Added context in sub-networks to preserve the overall shape of the brain and to make those networks comparable to each other, wasconsidered very useful. Spatial-Data-Driven Layouts is a novelty in the visualization of neuronal circuits of the Drosophila melanogaster larval brain and considered a first good step in this direction.In the future, we plan to extend the application with interactivity to provide neuroscientists with an intuitive representation of their data. The customization of brain regions, connectivity, as well as details of the layout via parameters, can be adapted to their interests. In addition, we aim to improve neuron-level visualization and visual encoding of the Drosophila larval network graphs to provide a more detailed representation of circuits.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 602, "image_height": 582, "name": "wissmann-2022-alb-.JPG", "type": "image/jpeg", "size": 69171, "path": "Publication:wissmann-2022-alb", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wissmann-2022-alb/wissmann-2022-alb-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wissmann-2022-alb/wissmann-2022-alb-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1929 ], "doi": "10.34726/hss.2022.78887", "open_access": "yes", "pages": "125", "supervisor": [ 166 ], "research_areas": [], "keywords": [ "brain connectivity visualization", "Node-Link Diagram" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 602, "image_height": 582, "name": "wissmann-2022-alb-.JPG", "type": "image/jpeg", "size": 69171, "path": "Publication:wissmann-2022-alb", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wissmann-2022-alb/wissmann-2022-alb-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wissmann-2022-alb/wissmann-2022-alb-:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wissmann-2022-alb-Master thesis.pdf", "type": "application/pdf", "size": 6503368, "path": "Publication:wissmann-2022-alb", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wissmann-2022-alb/wissmann-2022-alb-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wissmann-2022-alb/wissmann-2022-alb-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "wissmann-2022-alb-Poster.pdf", "type": "application/pdf", "size": 607510, "path": "Publication:wissmann-2022-alb", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wissmann-2022-alb/wissmann-2022-alb-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wissmann-2022-alb/wissmann-2022-alb-Poster:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wissmann-2022-alb/", "__class": "Publication" }, { "id": "xmas-2022", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2022", "date": "2022", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Front", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1534, "image_height": 1024, "name": "xmas-2022-Front.png", "type": "image/png", "size": 2938708, "path": "Publication:xmas-2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/xmas-2022-Front.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/xmas-2022-Front:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5201, 5223 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "xmas-2022-Card.pdf", "type": "application/pdf", "size": 2413291, "path": "Publication:xmas-2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/xmas-2022-Card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/xmas-2022-Card:thumb{{size}}.png" }, { "description": null, "filetitle": "Front", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1534, "image_height": 1024, "name": "xmas-2022-Front.png", "type": "image/png", "size": 2938708, "path": "Publication:xmas-2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/xmas-2022-Front.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/xmas-2022-Front:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/", "__class": "Publication" }, { "id": "STREICHER-2022-DSLS", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/78119", "title": "Digital Surveying of Large Scale Multi-Layered Terrain", "date": "2022", "abstract": "Digital terrain surveying is the exploration of terrain reconstructions and quantitative analysis of their properties. Out-of-core techniques, such as terrain streaming, are required to perform surveying on large-scale terrains at interactive frame-rates.The polyline based surveying tool from PRo3D, one of the state-of-the-art solutions for planetary geology, was implemented in our tool Visionary. In PRo3D the polylines are subsampled using fixed-rate subsampling (FRSS) at equidistant points. Our method uses variable-rate subsampling (VRSS) and shared-edge detection (SED) as an improvement that finds exact results when neighbouring primitives are hit. Furthermore, an uncertainty metric On-Data Ratio (ODR) was presented to raise awareness about the uncertainty of these measurements. Visionary was developed in the Unity game engine to evaluate if it is a suitable framework for such a specialized tool. We evaluated our implementation against Pro3D.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 362, "image_height": 224, "name": "STREICHER-2022-DSLS-image.png", "type": "image/png", "size": 96771, "path": "Publication:STREICHER-2022-DSLS", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-image:thumb{{size}}.png" }, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1105 ], "co_supervisor": [ 237 ], "date_end": "2022-10-11", "date_start": "2016-07-16", "diploma_examina": "2022-10-11", "doi": "10.34726/hss.2022.99963", "matrikelnr": "01025890", "open_access": "yes", "pages": "112", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "out-of-core", "digital terrain surveying", "large-scale terrain streaming", "uncertainty" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 362, "image_height": 224, "name": "STREICHER-2022-DSLS-image.png", "type": "image/png", "size": 96771, "path": "Publication:STREICHER-2022-DSLS", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "STREICHER-2022-DSLS-Master thesis.pdf", "type": "application/pdf", "size": 17831518, "path": "Publication:STREICHER-2022-DSLS", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "STREICHER-2022-DSLS-poster.pdf", "type": "application/pdf", "size": 1272458, "path": "Publication:STREICHER-2022-DSLS", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis", "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/", "__class": "Publication" }, { "id": "batik-2022-smm", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/150317", "title": "Shape-Guided Mixed Metro Map Layout", "date": "2022", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1830, 5227, 1877, 1579, 1464 ], "booktitle": "Pacific Graphics 2022", "cfp": { "name": "Pacific Graphics 2022.pdf", "type": "application/pdf", "error": "0", "size": "11677429", "orig_name": "Pacific Graphics 2022.pdf", "ext": "pdf" }, "date_from": "2022-10-05", "date_to": "2022-10-08", "doi": "10.1111/cgf.14695", "event": "30th Pacific Conference on Computer Graphics and Applications", "lecturer": [ 1830 ], "location": "Kyoto", "pages": "12", "pages_from": "495", "pages_to": "506", "publisher": "The Eurographics Association and John Wiley & Sons Ltd.", "volume": "41", "research_areas": [], "keywords": [ "HCAE", "mixed metro maps problem", "design criteria", "optimization paradigm" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/batik-2022-smm/", "__class": "Publication" }, { "id": "bayat-2022-mva", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/139147", "title": "Multi-faceted Visual Analysis of Inter-Observer Variability", "date": "2022", "abstract": "Despite the advancements in auto-segmentation tools, manual delineation is still necessary in the medical field. For example, tumor segmentation is a crucial step in cancer radiotherapy and is still widely performed by hand by experienced radiologists. However, the opinions of experienced radiologists might differ, for a multitude of reasons. In this work, we visualize the variability originating from multiple experts delineating medical scans of the same patient, known as inter-observer variability.The novelty of this work consists of capturing the process of segmenting a target object. The focus lies in gaining insight into the observer’s thought processes and reasoning strategies. To investigate these aspects of segmenting we conduct a data acquisitionwith novice users and experts, capturing their thoughts in a think-aloud protocol and their areas of attention by tracking their mouse-movement during the segmentation process. This data is visualized with our Multi Observer Looking Environment (MOLE).MOLE allows to gain deep insight into the observers’ segmentation process and enables to compare different segmentation outcomes and how these occurred. With our proposed visualization techniques we emphasize regions of uncertainty that need more attention when delineating. Additionally, relevant keywords are extracted from the think-aloud protocol and aligned with the positions in the segmentation, providing information about the thought process of an observer. We link the initial image to a three-dimensional representation of the delineations and provide more details of the think-aloud protocol on demand.Our approach is universal to segmentation, attention and thought process data regardless of the domain of the data. We show how MOLE can be used with a medical dataset as well as an artificially created dataset. By validating our approach with the help of a medical expert actively working in the field, we define potential use cases in the existing pipeline of tumor delineation for cancer treatment.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 783, "image_height": 536, "name": "bayat-2022-mva-teaser.jpg", "type": "image/jpeg", "size": 91325, "path": "Publication:bayat-2022-mva", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/bayat-2022-mva-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/bayat-2022-mva-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1693 ], "co_supervisor": [ 1410 ], "date_end": "2022-12", "date_start": "2022-03", "diploma_examina": "2023-01-16", "doi": "10.34726/hss.2022.105180", "matrikelnr": "01614855", "open_access": "yes", "pages": "145", "supervisor": [ 1110 ], "research_areas": [ "InfoVis", "MedVis" ], "keywords": [ "medical visualization", "uncertainty", "inter-observer variability", "data acquisition", "segmentation", "manual delineation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bayat-2022-mva-Master thesis.pdf", "type": "application/pdf", "size": 4821903, "path": "Publication:bayat-2022-mva", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/bayat-2022-mva-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/bayat-2022-mva-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 783, "image_height": 536, "name": "bayat-2022-mva-teaser.jpg", "type": "image/jpeg", "size": 91325, "path": "Publication:bayat-2022-mva", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/bayat-2022-mva-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/bayat-2022-mva-teaser:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/", "__class": "Publication" }, { "id": "boeroendy-2022-uio", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/175674", "title": "Understanding the impact of statistical and machine learning choices on predictive models for radiotherapy", "date": "2022", "abstract": "During radiotherapy (RT) planning, an accurate description of the location and shape of the pelvic organs is a critical factor for the successful treatment of the patient. Yet, during treatment, the pelvis anatomy may differ significantly from the planning phase. A series of recent publications, such as PREVIS [FMCM∗21], have examined alternative approaches to analyzing and predicting pelvic organ variability of individual patients. These approaches are based on a combination of several statistical and machine learning methods, which have not been thoroughly and quantitatively evaluated within the scope of pelvic anatomical variability. Several of their design decisions could have an impact on the outcome of the predictive model. The goal of this work is to assess the impact of alternative choices, focusing mainly on the two key-aspects of shape description and clustering, to generate better predictions for new patients. The results of our assessment indicate that resolution-based descriptors provide more accurate and reliable organ representations than state-of-the-art approaches, while different clustering settings (distance metric and linkage) yield only slightly different clusters. Different clustering methods are able to provide comparable results, although when more shape variability is considered their results start to deviate. These results are valuable for understanding the impact of statistical and machine learning choices on the outcomes of predictive models for anatomical variability.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "keywords,projects", "repositum_presentation_id": null, "authors": [ 5187, 1733, 1410 ], "booktitle": "VCBM 2022: Eurographics Workshop on Visual Computing for Biology and Medicine", "date_from": "2022-09-22", "date_to": "2022-09-23", "doi": "10.2312/vcbm.20221188", "event": "Eurographics Workshop on Visual Computing for Biology and Medicine (2022)", "isbn": "978-3-03868-177-9", "lecturer": [ 5187 ], "location": "Wien", "open_access": "yes", "pages": "5", "pages_from": "65", "pages_to": "69", "publisher": "The Eurographics Association", "volume": "2022", "research_areas": [], "keywords": [ "Human-centered computing", "Visual Analytics", "Life and medical sciences", "Applied computing" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "boeroendy-2022-uio-paper.pdf", "type": "application/pdf", "size": 5235751, "path": "Publication:boeroendy-2022-uio", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/boeroendy-2022-uio/boeroendy-2022-uio-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/boeroendy-2022-uio/boeroendy-2022-uio-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/boeroendy-2022-uio/", "__class": "Publication" }, { "id": "chung-2022-sma", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/19642", "title": "Statistical methodologies for assessing an artificial intelligence (AI) software in a diagnostic setting", "date": "2022", "abstract": "The radiological determination of bone age (BA) from a left-hand x-ray continues to be the reference standard for skeletal maturity assessment related to short or long stature, and underlying conditions. Artificial (AI) algorithms are becoming more prevalent due to the subjectivity and time-consuming nature of BA assessment. Therefore, we proposed methods and statistical recommendations in assessing standalone performance of an AI tool. Our strategy was verified in a retrospective study using the AI model, PANDA, a fully automated AI software used to estimate bone age (BA) on hand radiographs. We analyzed radiographs of 342 patients retrospectively. Three board-certified pediatric radiologists made blind reads of BA using the Greulich & Pyle (GP) method independently. The AI-software, PANDA, was subsequently used to provide automated estimations of BA from the same set of images. The ground truth was established based on the mean of the estimations. We assessed agreement of AI with readers based on comparison of Bland-Altman limits of agreement (LOA), orthogonal linear regression, and interchangeability.Bland-Altman assessment displayed a mean difference between readers and AI to be -0.72 with 95% CI (-1.46; 0.02) months displaying no fixed bias. Using orthogonal linear regression, the slope between readers and AI software was reported to be 1.02 95% CI (1.00, 1.03). No proportional bias was observed. The square root of the absolute value of the equivalence index of the AI software compared to assessments made by readers was observed to be -5.8 months. This indicates that the AI software is interchangeable with expert readers. The proposed framework is generalizable to the other applications aside from bone age. If one wants to find bias between two techniques of measurement, regression analysis should be performed. If the purpose is to see if one method may be safely replaced by another, especially in clinical practice, Bland-Altman plot is preferred. If there is no adequate reference standard to compare to, interchangeability can be used. This statistical method does not rely on a reference standard.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 556, "image_height": 386, "name": "chung-2022-sma-.JPG", "type": "image/jpeg", "size": 27043, "path": "Publication:chung-2022-sma", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/chung-2022-sma/chung-2022-sma-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/chung-2022-sma/chung-2022-sma-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5212 ], "doi": "10.34726/hss.2022.89767", "open_access": "yes", "pages": "97", "supervisor": [ 1410 ], "research_areas": [], "keywords": [ "artificial intelligence", "statistical methodologies", "performance assessment", "continuous variable", "bland-altman", "interchangeability" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 556, "image_height": 386, "name": "chung-2022-sma-.JPG", "type": "image/jpeg", "size": 27043, "path": "Publication:chung-2022-sma", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/chung-2022-sma/chung-2022-sma-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/chung-2022-sma/chung-2022-sma-:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "chung-2022-sma-Master thesis.pdf", "type": "application/pdf", "size": 2014753, "path": "Publication:chung-2022-sma", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/chung-2022-sma/chung-2022-sma-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/chung-2022-sma/chung-2022-sma-Master thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/chung-2022-sma/", "__class": "Publication" }, { "id": "eichner-2022-music", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/196494", "title": "MuSIC: Multi-sequential interactive co-registration for cancer imaging data based on segmentation masks", "date": "2022", "abstract": "In gynecologic cancer imaging, multiple magnetic resonance imaging (MRI) sequences are acquired per patient to reveal different tissue characteristics. However, after image acquisition, the anatomical structures can be misaligned in the various sequences due to changing patient location in the scanner and organ movements. The co-registration process aims to align the sequences to allow for multi-sequential tumor imaging analysis. However, automatic co-registration often leads to unsatisfying results. To address this problem, we propose the web-based application MuSIC (Multi-Sequential Interactive Co-registration). The approach allows medical experts to co-register multiple sequences simultaneously based on a pre-defined segmentation mask generated for one of the sequences. Our contributions lie in our proposed workflow. First, a shape matching algorithm based on dual annealing searches for the tumor position in each sequence. The user can then interactively adapt the proposed segmentation positions if needed. During this procedure, we include a multi-modal magic lens visualization for visual quality assessment. Then, we register the volumes based on the segmentation mask positions. We allow for both rigid and deformable registration. Finally, we conducted a usability analysis with seven medical and machine learning experts to verify the utility of our approach. Our participants highly appreciate the multi-sequential setup and see themselves using MuSIC in the future.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1934, 1345, 5343, 5344, 5345, 166, 161, 5346 ], "booktitle": "VCBM 2022 : Eurographics Workshop on Visual Computing for Biology and Medicine", "date_from": "2022-09-22", "date_to": "2022-09-23", "doi": "10.2312/vcbm.20221190", "event": "Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2022)", "isbn": "978-3-03868-177-9", "lecturer": [ 166 ], "location": "Wien", "open_access": "yes", "pages": "11", "pages_from": "81", "pages_to": "91", "publisher": "The Eurographics Association", "research_areas": [], "keywords": [ "Visual Computing", "Multi-Modal Segmentation", "Registration" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eichner-2022-music-paper.pdf", "type": "application/pdf", "size": 4905969, "path": "Publication:eichner-2022-music", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/eichner-2022-music/eichner-2022-music-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/eichner-2022-music/eichner-2022-music-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/eichner-2022-music/", "__class": "Publication" }, { "id": "Woschizka_2021", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Reference-Frame Computation for Observer-Relative Flow Visualization", "date": "2021-12-23", "abstract": "Scientists and engineers from many domains work with fluid simulation and visualization. These tools help to understand physical phenomena like vortices that occur as weather phenomena, in ocean currents and in aerodynamics. The visualization of flow fields\nprofits from advanced concepts like observer relativity. Existing interactive frameworks for observer-relative visualization need to pre-process the flow data to obtain meaningful reference frames. This pre-processing task is computationally expensive and potentially time consuming for large data sets. In this thesis a method without pre-processing is proposed. Starting at a user specified location we iterate the optimization of the observer field in a small subset of the data, and the integration of the observer worldline to find the next start location. The visualization of the observed pathlines is interleaved with the observer-calculation. The combination of progressive buildup, as well as low-level optimization techniques like caching, prediction, and parallelization, provides an algorithm that visualizes observer-relative flow interactively without the need of pre-processing.\nThe avoidance of pre-processing makes this technique suitable for in-situ scenarios, and for the exploration of the parameter space of optimization techniques that are needed to compute reference-frame candidates. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 383, "image_height": 244, "name": "Woschizka_2021-image.PNG", "type": "image/png", "size": 44639, "path": "Publication:Woschizka_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/Woschizka_2021-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/Woschizka_2021-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1903 ], "date_end": "2021-12-23", "date_start": "2021-02-12", "matrikelnr": "11809612", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor theses", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Woschizka_2021-Bachelor theses.pdf", "type": "application/pdf", "size": 19966871, "path": "Publication:Woschizka_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/Woschizka_2021-Bachelor theses.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/Woschizka_2021-Bachelor theses:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 383, "image_height": 244, "name": "Woschizka_2021-image.PNG", "type": "image/png", "size": 44639, "path": "Publication:Woschizka_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/Woschizka_2021-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/Woschizka_2021-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/", "__class": "Publication" }, { "id": "Alharbi_2021", "type_id": "journalpaper_notalk", "tu_id": 300116, "repositum_id": "20.500.12708/138522", "title": "Nanotilus: Generator of Immersive Guided-Tours in Crowded 3D Environments", "date": "2021-12-09", "abstract": "Immersive virtual reality environments are gaining popularity for studying and exploring crowded three-dimensional structures. When reaching very high structural densities, the natural depiction of the scene produces impenetrable clutter and requires visibility and occlusion management strategies for exploration and orientation. Strategies developed to address the crowdedness in desktop applications, however, inhibit the feeling of immersion. They result in nonimmersive, desktop-style outside-in viewing in virtual reality. This paper proposesNanotilus---a new visibility and guidance approach for very dense environments that generates an endoscopic inside-out experience instead of outside-in viewing, preserving the immersive aspect of virtual reality. The approach consists of two novel, tightly coupled mechanisms that control scene sparsification simultaneously with camera path planning. The sparsification strategy is localized around the camera and is realized as a multiscale, multishell, variety-preserving technique. When Nanotilus dives into the structures to capture internal details residing on multiple scales, it guides the camera using depth-based path planning. In addition to sparsification and path planning, we complete the tour generation with an animation controller, textual annotation, and text-to-visualization conversion. We demonstrate the generated guided tours on mesoscopic biological models -- SARS-CoV-2 and HIV viruses. We evaluate the Nanotilus experience with a baseline outside-in sparsification and navigational technique in a formal user study with 29 participants. While users can maintain a better overview using the outside-in sparsification, the study confirms our hypothesis that Nanotilus leads to stronger engagement and immersion.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 540, "image_height": 273, "name": "Alharbi_2021-Image.JPG", "type": "image/jpeg", "size": 46269, "path": "Publication:Alharbi_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1791, 1789, 1577, 1110, 1383, 1891, 1285, 166, 171 ], "doi": "10.1109/TVCG.2021.3133592", "first_published": "2021-12-09", "journal": "IEEE Transactions on Visualization and Computer Graphics", "open_access": "yes", "pages_from": "1", "pages_to": "16", "research_areas": [ "BioVis", "IllVis", "VR" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 540, "image_height": 273, "name": "Alharbi_2021-Image.JPG", "type": "image/jpeg", "size": 46269, "path": "Publication:Alharbi_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Alharbi_2021-Paper.pdf", "type": "application/pdf", "size": 14837965, "path": "Publication:Alharbi_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/", "__class": "Publication" }, { "id": "Gall2021", "type_id": "inproceedings", "tu_id": 300119, "repositum_id": "20.500.12708/58609", "title": "ImNDT: Immersive Workspace for the Analysis of Multidimensional Material Data From Non-Destructive Testing", "date": "2021-12-08", "abstract": "An analysis of large multidimensional volumetric data as generated by non-destructive testing (NDT) techniques, e.g., X-ray computed tomography (XCT), can hardly be evaluated using standard 2D visualization techniques on desktop monitors. The analysis of fiber-reinforced polymers (FRPs) is currently a time-consuming and cognitively demanding task, as FRPs have a complex spatial structure, consisting of several hundred thousand fibers, each having more than twenty different extracted features. This paper presents ImNDT, a novel visualization system, which offers material experts an immersive exploration of multidimensional secondary data of FRPs. Our system is based on a virtual reality (VR) head-mounted device (HMD) to enable fluid and natural explorations through embodied navigation, the avoidance of menus, and manual mode switching. We developed immersive visualization and interaction methods tailored to the characterization of FRPs, such as a Model in Miniature, a similarity network, and a histo-book. An evaluation of our techniques with domain experts showed advantages in discovering structural patterns and similarities. Especially novices can strongly benefit from our intuitive representation and spatial rendering.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 530, "image_height": 372, "name": "Gall2021-Image.JPG", "type": "image/jpeg", "size": 41905, "path": "Publication:Gall2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/Gall2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/Gall2021-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1355, 166, 611 ], "booktitle": "Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology", "cfp": { "name": "CfP VRST 2021.pdf", "type": "application/pdf", "error": "0", "size": "94330", "orig_name": "CfP VRST 2021.pdf", "ext": "pdf" }, "doi": "10.1145/3489849.3489851", "event": "27th ACM Symposium on Virtual Reality Software and Technology", "open_access": "yes", "pages": "11", "pages_from": "1", "pages_to": "11", "publisher": "ACM Press", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 530, "image_height": 372, "name": "Gall2021-Image.JPG", "type": "image/jpeg", "size": 41905, "path": "Publication:Gall2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/Gall2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/Gall2021-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Gall2021-Paper.pdf", "type": "application/pdf", "size": 5992354, "path": "Publication:Gall2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/Gall2021-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/Gall2021-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/", "__class": "Publication" }, { "id": "Groller_2021-12-03", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Ask Me Anything", "date": "2021-12-03", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "event": "Visual Computing Forum", "location": "University of Bergen, Norway", "open_access": "no", "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://vis.uib.no/events/", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Groller_2021-12-03/", "__class": "Publication" }, { "id": "magg-2021-dva", "type_id": "masterthesis", "tu_id": null, "repositum_id": "10.34726/hss.2021.92822", "title": "Development and Visual Assessment of a Cross-Modal Brain Tumor Segmentation Pipeline", "date": "2021-12", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1740, "preview_image_height": 934, "name": "magg-2021-dva-.pdf", "type": "application/pdf", "size": 13653954, "path": "Publication:magg-2021-dva", "preview_name": "magg-2021-dva-:preview.jpg", "preview_type": "image/jpeg", "preview_size": 125352, "url": "https://www.cg.tuwien.ac.at/research/publications/2021/magg-2021-dva/magg-2021-dva-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/magg-2021-dva/magg-2021-dva-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1860 ], "date_end": "2021", "date_start": "2021", "diploma_examina": "2022-01", "matrikelnr": "01225388", "supervisor": [ 1410 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1740, "preview_image_height": 934, "name": "magg-2021-dva-.pdf", "type": "application/pdf", "size": 13653954, "path": "Publication:magg-2021-dva", "preview_name": "magg-2021-dva-:preview.jpg", "preview_type": "image/jpeg", "preview_size": 125352, "url": "https://www.cg.tuwien.ac.at/research/publications/2021/magg-2021-dva/magg-2021-dva-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/magg-2021-dva/magg-2021-dva-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/magg-2021-dva/", "__class": "Publication" }, { "id": "bhore-2021-issac", "type_id": "inproceedings", "tu_id": 299975, "repositum_id": "20.500.12708/55639", "title": "Untangling Circular Drawings: Algorithms and Complexity", "date": "2021-12", "abstract": "We consider the problem of untangling a given (non-planar) straight-line circular drawing δG of an\r\nouterplanar graph G = (V,E) into a planar straight-line circular drawing by shifting a minimum\r\nnumber of vertices to a new position on the circle. For an outerplanar graph G, it is clear that such\r\na crossing-free circular drawing always exists and we define the circular shifting number shift◦(δG)\r\nas the minimum number of vertices that need to be shifted to resolve all crossings of δG. We show\r\nthat the problem Circular Untangling, asking whether shift◦(δG) ≤ K for a given integer K,\r\nis NP-complete. Based on this result we study Circular Untangling for almost-planar circular\r\ndrawings, in which a single edge is involved in all the crossings. In this case we provide a tight upper\r\nbound shift◦(δG) ≤ ⌊n2\r\n⌋ − 1, where n is the number of vertices in G, and present a polynomial-time\r\nalgorithm to compute the circular shifting number of almost-planar drawings.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1878, 1698, 1579, 1879, 1464 ], "booktitle": "Proceedings of the 32nd International Symposium on Algorithms and Computation", "cfp": { "name": "ISAAC 2021.pdf", "type": "application/pdf", "error": "0", "size": "66412", "orig_name": "ISAAC 2021.pdf", "ext": "pdf" }, "doi": "10.4230/LIPIcs.ISAAC.2021.19", "event": "The 32nd International Symposium on Algorithms and Computation", "lecturer": [ 1698 ], "pages": "17", "pages_from": "1", "pages_to": "17", "publisher": "LIPICS", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "bhore-2021-issac-paper.pdf", "type": "application/pdf", "size": 1149414, "path": "Publication:bhore-2021-issac", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/bhore-2021-issac/bhore-2021-issac-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/bhore-2021-issac/bhore-2021-issac-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/bhore-2021-issac/", "__class": "Publication" }, { "id": "bugnar-esk-2021", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Exploratory Search Interface for Knowledge Databases", "date": "2021-12", "abstract": "Visualization has always been a powerful tool to effectively convey knowledge and\ninformation. It has also gained attention in the context of search, in particular for newer\nvisualization techniques like “Multifaceted Search” and “Exploratory Search”. There are\ncurrently many tools and websites that still rely on an explicit search function or an\nalphabetically ordered glossary of terms to allow users to filter and browse resources.\nThis results in many useful resources not being discovered by users because of a lack of\nproper search tools. Exploratory Search is more open-ended, allowing users to search\neven if they do not exactly know what they are looking for.\n\nThis thesis proposes an adaptable, modular, web-based prototype of an exploratory\nsearch interface. The goal of the prototype is to serve as a basis for the evaluation of\nexploratory search interfaces for a wide variety of use cases. In contrast to many existing\nExploratory Search tools, this prototype does not require rich meta-data to be present\nin a dataset. By utilizing an optional preprocessing step to extract named entities via\nNatural Language Processing, the prototype is compatible with most text-based datasets.\nThe search interface consists of a word cloud created by a force-directed layout algorithm\nthat places related entities close to each other. This interface also serves as the main\nfiltering option, which keeps the users’ focus on the word cloud. After selecting interesting\nentities, matching documents can be browsed in a list view.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 823, "image_height": 271, "name": "bugnar-esk-2021-teaser.PNG", "type": "image/png", "size": 111932, "path": "Publication:bugnar-esk-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/bugnar-esk-2021/bugnar-esk-2021-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/bugnar-esk-2021/bugnar-esk-2021-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1761 ], "date_end": "2021-12", "date_start": "2020-04", "matrikelnr": "01402617", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 823, "image_height": 271, "name": "bugnar-esk-2021-teaser.PNG", "type": "image/png", "size": 111932, "path": "Publication:bugnar-esk-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/bugnar-esk-2021/bugnar-esk-2021-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/bugnar-esk-2021/bugnar-esk-2021-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "bugnar-esk-2021-thesis.pdf", "type": "application/pdf", "size": 5892838, "path": "Publication:bugnar-esk-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/bugnar-esk-2021/bugnar-esk-2021-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/bugnar-esk-2021/bugnar-esk-2021-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/bugnar-esk-2021/", "__class": "Publication" }, { "id": "ilcik-2021-xmas", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2021", "date": "2021-11-29", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": "Front side of the card as an image", "filetitle": "Cover", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2235, "image_height": 1548, "name": "ilcik-2021-xmas-Cover.jpg", "type": "image/jpeg", "size": 614758, "path": "Publication:ilcik-2021-xmas", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/ilcik-2021-xmas-Cover.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/ilcik-2021-xmas-Cover:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1303, 1395 ], "research_areas": [ "Modeling" ], "keywords": [ "christmas" ], "weblinks": [ { "href": "https://xmas.cg.tuwien.ac.at/2021/song", "caption": "Music", "description": "Procedural generator of Christmas songs including the tech behind and a few pregenerated samples", "main_file": 1 } ], "files": [ { "description": "Christmas card 2021 (front and back side)", "filetitle": "Card", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 2480, "preview_image_height": 3508, "name": "ilcik-2021-xmas-Card.pdf", "type": "application/pdf", "size": 2606680, "path": "Publication:ilcik-2021-xmas", "preview_name": "ilcik-2021-xmas-Card:preview.png", "preview_type": "image/jpeg", "preview_size": 872803, "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/ilcik-2021-xmas-Card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/ilcik-2021-xmas-Card:thumb{{size}}.png" }, { "description": "Front side of the card as an image", "filetitle": "Cover", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2235, "image_height": 1548, "name": "ilcik-2021-xmas-Cover.jpg", "type": "image/jpeg", "size": 614758, "path": "Publication:ilcik-2021-xmas", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/ilcik-2021-xmas-Cover.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/ilcik-2021-xmas-Cover:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/", "__class": "Publication" }, { "id": "Zaufel_2021", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/19636", "title": "Agent Based Pedestrian Simulation in Visdom", "date": "2021-11-27", "abstract": "In this thesis a new pedestrian simulation plugin for the Visdom visualization system is presented. First the general layout of such a system is discussed using a layered system. Different candidates for these layers are presented and the best fitting one for the use are\npicked. For the tactical layer a fastest-path algorithm is used whilst for the operational layer a modified ORCA (Optimal Reciprocal Collision Avoidance) algorithm has been implemented. These will be discussed in detail.\nWe will also talk about the visualization of the simulation state. Both the kind of representation for different objects in the world, as well as additional visualizations that aim to help the operator to gain insight, are going to be presented.\nThen the implementation itself is going to be discussed. Especially how the different layers are integrated into the Visdom application. \nIn the last chapter the results are presented. First the system will be validated using the RiMEA test cases and then a real world case study showcases the capabilities of the proposed system.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1077, "image_height": 693, "name": "Zaufel_2021-Image.JPG", "type": "image/jpeg", "size": 88610, "path": "Publication:Zaufel_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Image:thumb{{size}}.png" }, "sync_repositum_override": "title,abstract,date,keywords", "repositum_presentation_id": null, "authors": [ 1176 ], "ac_number": "AC16454248", "date_end": "2021-11-27", "date_start": "2020-08-21", "diploma_examina": "2021-11-27", "doi": "10.34726/hss.2022.48167", "matrikelnr": "00925357", "open_access": "yes", "pages": "112", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [ "pedestrian simulation", "visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1077, "image_height": 693, "name": "Zaufel_2021-Image.JPG", "type": "image/jpeg", "size": 88610, "path": "Publication:Zaufel_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Zaufel_2021-Master Thesis.pdf", "type": "application/pdf", "size": 12658853, "path": "Publication:Zaufel_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Zaufel_2021-Poster.pdf", "type": "application/pdf", "size": 3196620, "path": "Publication:Zaufel_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Zaufel_2021-thesis.pdf", "type": "application/pdf", "size": 5279882, "path": "Publication:Zaufel_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/", "__class": "Publication" }, { "id": "kouril-2021-molecumentary", "type_id": "journalpaper", "tu_id": 300120, "repositum_id": "20.500.12708/138523", "title": "Molecumentary: Adaptable Narrated Documentaries Using Molecular Visualization", "date": "2021-11-25", "abstract": "We present a method for producing documentary-style content using real-time scientific visualization. We introduce molecumentaries, i.e., molecular documentaries featuring structural models from molecular biology, created through adaptable methods instead of the rigid traditional production pipeline. Our work is motivated by the rapid evolution of scientific visualization and it potential in science dissemination. Without some form of explanation or guidance, however, novices and lay-persons often find it difficult to gain insights from the visualization itself. We integrate such knowledge using the verbal channel and provide it along an engaging visual presentation. To realize the synthesis of a molecumentary, we provide technical solutions along two major production steps: (1) preparing a story structure and (2) turning the story into a concrete narrative. In the first step, we compile information about the model from heterogeneous sources into a story graph. We combine local knowledge with external sources to complete the story graph and enrich the final result. In the second step, we synthesize a narrative, i.e., story elements presented in sequence, using the story graph. We then traverse the story graph and generate a virtual tour, using automated camera and visualization transitions. We turn texts written by domain experts into verbal representations using text-to-speech functionality and provide them as a commentary. Using the described framework, we synthesize fly-throughs with descriptions: automatic ones that mimic a manually authored documentary or semi-automatic ones which guide the documentary narrative solely through curated textual input.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "overview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 943, "image_height": 399, "name": "kouril-2021-molecumentary-overview.png", "type": "image/png", "size": 224541, "path": "Publication:kouril-2021-molecumentary", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-overview:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383, 1789, 935, 1665, 960, 166, 171 ], "cfp": { "name": "TVCG_information_for_authors.pdf", "type": "application/pdf", "error": "0", "size": "220828", "orig_name": "TVCG_information_for_authors.pdf", "ext": "pdf" }, "date_from": "2021-11-15", "date_to": "2021-11-15", "doi": "10.1109/TVCG.2021.3130670", "event": "IEEE Vis 2022", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1383 ], "note": "To appear (Early Access)", "open_access": "yes", "pages_from": "1", "pages_to": "1", "volume": "1", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "Virtual tour", "audio", "biological data", "storytelling", "illustrative visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "overview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 943, "image_height": 399, "name": "kouril-2021-molecumentary-overview.png", "type": "image/png", "size": 224541, "path": "Publication:kouril-2021-molecumentary", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-overview:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kouril-2021-molecumentary-paper.pdf", "type": "application/pdf", "size": 25205347, "path": "Publication:kouril-2021-molecumentary", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/", "__class": "Publication" }, { "id": "Groeller_2021_11", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Analysis through Spatial and Abstract Data Integration", "date": "2021-11-04", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "event": "CSIG-VIS International Lecture Series", "open_access": "no", "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://chinavis.org/lectures/english/index_en.html", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Groeller_2021_11/", "__class": "Publication" }, { "id": "sbardellati-2021-eveos", "type_id": "masterthesis", "tu_id": 300124, "repositum_id": "20.500.12708/18678", "title": "Exploratory Visual System for Predictive Machine Learning of Event-Organisation Data", "date": "2021-11", "abstract": "In recent years, the usage of machine learning (ML) models and especially deep neural\nnetworks in many different domains has increased rapidly. One of the major challenges\nwhen working with ML models is to correctly and efficiently interpret the results given\nby a model. Additionally, understanding how the model came to its conclusions can be\na very complicated task even for domain experts in the field of machine learning. For\nlaypeople, ML models are often just black-boxes. The lack of understanding of a model\nand its reasoning often leads to users not trusting the model’s predictions.\n\nIn this thesis, we work with an ML model trained on event-organisation data. The\ngoal is to create an exploratory visual event-organisation system that enables event\norganisers to efficiently work with the model. The main user goals in this scenario are\nto maximise profits and to be able to prepare for the predicted number of visitors. To\nachieve these goals users need to be able to perform tasks like: interpreting the prediction\nof the current input and performing what-if analyses to understand the effects of\nchanging parameters. The proposed system incorporates adapted versions of multiple\nstate-of-the-art model-agnostic interpretation methods like partial dependence plots and\ncase-based reasoning. Since model-agnostic methods are independent of the ML model,\nthey provide high flexibility.\n\nMany state-of-the-art approaches to explain ML models are too complex to be understood\nby laypeople. Our target group of event organisers cannot be expected to have a sufficient\namount of technical knowledge in the field of machine learning. In this thesis, we want\nto find answers to the questions: How can we visualise ML predictions to laypeople in a\ncomprehensible way? How can predictions be compared against each other? How can\nwe support users in gaining trust in the ML model? Our event-organisation system is\ncreated using a human-centred design approach performing multiple case studies with\npotential users during the whole development circle.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 967, "image_height": 1079, "name": "sbardellati-2021-eveos-teaser.PNG", "type": "image/png", "size": 146317, "path": "Publication:sbardellati-2021-eveos", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sbardellati-2021-eveos/sbardellati-2021-eveos-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sbardellati-2021-eveos/sbardellati-2021-eveos-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1555 ], "co_supervisor": [ 166 ], "date_end": "2021-11", "date_start": "2020-11", "diploma_examina": "2021-11-15", "doi": "10.34726/hss.2021.85640", "matrikelnr": "01526262", "open_access": "yes", "pages": "110", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [ "machine learning", "interactive visualisation" ], "weblinks": [], "files": { "1": { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sbardellati-2021-eveos-poster.pdf", "type": "application/pdf", "size": 1867611, "path": "Publication:sbardellati-2021-eveos", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sbardellati-2021-eveos/sbardellati-2021-eveos-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sbardellati-2021-eveos/sbardellati-2021-eveos-poster:thumb{{size}}.png" }, "2": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 967, "image_height": 1079, "name": "sbardellati-2021-eveos-teaser.PNG", "type": "image/png", "size": 146317, "path": "Publication:sbardellati-2021-eveos", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sbardellati-2021-eveos/sbardellati-2021-eveos-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sbardellati-2021-eveos/sbardellati-2021-eveos-teaser:thumb{{size}}.png" }, "3": { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sbardellati-2021-eveos-thesis.pdf", "type": "application/pdf", "size": 9660724, "path": "Publication:sbardellati-2021-eveos", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sbardellati-2021-eveos/sbardellati-2021-eveos-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sbardellati-2021-eveos/sbardellati-2021-eveos-thesis:thumb{{size}}.png" } }, "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sbardellati-2021-eveos/", "__class": "Publication" }, { "id": "Caic2021", "type_id": "masterthesis", "tu_id": 300125, "repositum_id": "20.500.12708/19101", "title": "Modelling the Effect of emotional Feedback as Stimulus in fMRI Neurofeedback", "date": "2021-10-27", "abstract": "Neurofeedback (NF) based on functional magnetic resonance imaging (fMRI) offers promising possibilities for therapeutic approaches in neurological and psychiatric diseases. By providing information over the current activity in a target brain region, conscious control can be learned allowing for counteracting disease-specific symptoms. Social feedback in the form of a face with changing expressions is often chosen as a very intuitive type of feedback. Since the brain regions affected in psychiatric conditions are often involved in the perception and processing of emotions, it is possible that these regions are additionally activated with emotional feedback. In this thesis it is examined whether such an additional activity has a significant influence on the measured activity, as this could lead to inaccurate feedback and, as a result, to suboptimal learning outcomes. For this purpose, the data of a previously published study is reanalysed while particularly taking the potential influence of the feedback signal into account. Using different model approaches, the exact nature of the influence is investigated, as well as whether positive and negative feedback differ in their influence. Given the highly individual aspects of NF and the goal to implement corrections for the training of a single subject in an openly available NF software, the analyses were conducted on an individual but also the group level allowing for tests of generalizability. At the single run level, a significant influence of both the feedback and its change over time was found. Positive feedback more often had a significant impact on the neuronal activation than negative feedback. With regard to the change over time, significant results could more often be found with negative feedback. At the group level, only the\nchange in feedback showed a significant influence on the activation of the target region. In a cross-validation, it was not possible to determine generalizability beyond a single run for any of the models under investigation. The examined effect seems to be very individual both for subjects and measurements and should therefore be treated separately from case to case. In NF studies in which emotional feedback is used while training a brain region involved in emotion processing, accounting for the influence of the feedback signal could improve the accuracy of the presented feedback and, hence, learning performance and therapeutic success. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 588, "image_height": 459, "name": "Caic2021-Image.JPG", "type": "image/jpeg", "size": 39094, "path": "Publication:Caic2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Caic2021/Caic2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Caic2021/Caic2021-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1890 ], "date_end": "2021-10-27", "date_start": "2020-11-10", "diploma_examina": "2022-01", "doi": "10.34726/hss.2021.80523", "matrikelnr": "01204686", "open_access": "yes", "pages": "137", "supervisor": [ 166 ], "research_areas": [ "Modeling" ], "keywords": [ "Neurofeedback", "emotion processing" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 588, "image_height": 459, "name": "Caic2021-Image.JPG", "type": "image/jpeg", "size": 39094, "path": "Publication:Caic2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Caic2021/Caic2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Caic2021/Caic2021-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Caic2021-Master Thesis.pdf", "type": "application/pdf", "size": 9807032, "path": "Publication:Caic2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Caic2021/Caic2021-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Caic2021/Caic2021-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Caic2021-Poster.pdf", "type": "application/pdf", "size": 2459157, "path": "Publication:Caic2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Caic2021/Caic2021-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Caic2021/Caic2021-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Caic2021/", "__class": "Publication" }, { "id": "Groeller_2021-10", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Interactive Visual Data Analysis", "date": "2021-10-21", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "event": "ICSTCC 2021 - 25th International Conference on System Theory, Control and Computing", "location": "Iasi, Romania", "open_access": "no", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://icstcc2021.ac.tuiasi.ro/", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Groeller_2021-10/", "__class": "Publication" }, { "id": "Bayer_Alexander_2021_FTiVR", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/18848", "title": "Foot Tracking in Virtual Reality", "date": "2021-10-14", "abstract": "The visualisation of limbs in Virtual Reality (VR) helps to get a better immersion in the virtual world and it creates better confidence in movement. Sadly a lot of VR applications omit the visualisation of limbs. One reason lies in technical difficulties with bigger scale VR environments and multi-user VR environments where you can not rely on outside-in tracking methods because of the size and possible occlusion that hinders accurate tracking data. Another reason is that developers do not want to exclude parts of their already small user base by demanding special hardware for foot tracking that costs as much as the hand controllers but is only usable in a small number of applications.\nThis thesis tackles these problems by generating a lightweight tracking system that only relies on the correct tracking of the head position so that either inside-out or outside-in tracking can be used with it. To achieve this, a RGB depth camera is mounted on the VR headset. A combination of fiducial marker tracking, depth tracking and inertial measurement units (IMUs) are used to track the user’s feet. These individual tracking signals are then fused to one signal that combines the advantages of the single tracking systems. This tracking information can then be used to animate the feet of a virtual avatar with an Inverse Kinematics (IK) algorithm.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1219 ], "co_supervisor": [ 1731 ], "date_end": "2021", "date_start": "2019", "diploma_examina": "2021", "doi": "10.34726/hss.2021.77646", "matrikelnr": "00726255", "open_access": "yes", "pages": "68", "supervisor": [ 378 ], "research_areas": [ "VR" ], "keywords": [ "Virtual Reality", "Foot Tracking", "Motion Capture" ], "weblinks": [], "files": [ { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Bayer_Alexander_2021_FTiVR-poster.pdf", "type": "application/pdf", "size": 3127113, "path": "Publication:Bayer_Alexander_2021_FTiVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Bayer_Alexander_2021_FTiVR/Bayer_Alexander_2021_FTiVR-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Bayer_Alexander_2021_FTiVR/Bayer_Alexander_2021_FTiVR-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Bayer_Alexander_2021_FTiVR-thesis.pdf", "type": "application/pdf", "size": 12813943, "path": "Publication:Bayer_Alexander_2021_FTiVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Bayer_Alexander_2021_FTiVR/Bayer_Alexander_2021_FTiVR-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Bayer_Alexander_2021_FTiVR/Bayer_Alexander_2021_FTiVR-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vr" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Bayer_Alexander_2021_FTiVR/", "__class": "Publication" }, { "id": "Priselac2021", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/18845", "title": "Visual Analytics of Spatial Time Series Data", "date": "2021-10-12", "abstract": "Regardless of what algorithms and technologies are developed, the human mind and logical reasoning remain important tools for analysing, modelling, and solving problems. Visual representation of data is considered the most e˙ective way to convey information to the human brain and promote analytical thinking. Visual analytics encompasses a set of techniques, methods, and tools that support analytical thinking through visual representations of various types of data. Due to their complexity and size, spatial time series data are suitable for implementation of such techniques, as their analysis remains challenging. Many environmental, social, and economic processes of modern civilization are represented by spatial time series, which emphasises the need for interactive visual representations for their more eÿcient analysis.\nOne clear example of such complex processes is economic recession, a decline in economic activity for which there is no single formal definition. However, it is often described in terms of recession factors such as GDP, the Gini index, or inflation, all of which are examples of spatial time series data, and whose change can be a clear indicator of the state of the economy. As recession analysis is a very complex topic and it is not entirely clear which economic factors have the greatest impact, purely automated techniques are not appropriate and there is scope for advances in analytical approaches.\nThis thesis proposes an application “Recession Explorer”: visual analytics of economic recession and its forecasting as an example of a holistic system that displays spatial time series data and explores patterns and insights in the data. Such a combination of approaches provides a unique perspective on economic recession studies by facilitating both high-level human reasoning and the use of advanced mathematical algorithms. The goal of the application is to demonstrate that the use of visual analytics is a beneficial approach to address the challenges of economic recession and, more generally, to assist users with interactive visualisations when dealing with and analysing spatial time series data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 849, "image_height": 306, "name": "Priselac2021-image.JPG", "type": "image/jpeg", "size": 43088, "path": "Publication:Priselac2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Priselac2021/Priselac2021-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Priselac2021/Priselac2021-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1868 ], "date_end": "2021-10-12", "date_start": "2021-01-05", "diploma_examina": "2021-10-12", "doi": "10.34726/hss.2021.73924", "matrikelnr": "11735131", "open_access": "yes", "pages": "60", "supervisor": [ 235 ], "research_areas": [ "InfoVis" ], "keywords": [ "visual analytics", "interactive visual analysis", "machine learning", "linear regression", "elastic net", "K-Means", "classification", "spatial time series", "economic recession", "recession factors" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 849, "image_height": 306, "name": "Priselac2021-image.JPG", "type": "image/jpeg", "size": 43088, "path": "Publication:Priselac2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Priselac2021/Priselac2021-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Priselac2021/Priselac2021-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Priselac2021-Master Thesis.pdf", "type": "application/pdf", "size": 12953562, "path": "Publication:Priselac2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Priselac2021/Priselac2021-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Priselac2021/Priselac2021-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Priselac2021-Poster.pdf", "type": "application/pdf", "size": 1308445, "path": "Publication:Priselac2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Priselac2021/Priselac2021-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Priselac2021/Priselac2021-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Priselac2021/", "__class": "Publication" }, { "id": "Dhanoa_2021", "type_id": "journalpaper_notalk", "tu_id": 300187, "repositum_id": "20.500.12708/138541", "title": "Fuzzy Spreadsheet: Understanding and Exploring Uncertainties in Tabular Calculations ", "date": "2021-10-11", "abstract": "Spreadsheet-based tools provide a simple yet effective way of calculating values, which makes them the number-one choice for building and formalizing simple models for budget planning and many other applications. A cell in a spreadsheet holds one specific value and gives a discrete, overprecise view of the underlying model. Therefore, spreadsheets are of limited use when investigating the inherent uncertainties of such models and answering what-if questions. Existing extensions typically require a complex modeling process that cannot easily be embedded in a tabular layout. In Fuzzy Spreadsheet, a cell can hold and display a distribution of values. This integrated uncertainty-handling immediately conveys sensitivity and robustness information. The fuzzification of the cells enables calculations not only with precise values but also with distributions, and probabilities. We conservatively added and carefully crafted visuals to maintain the look and feel of a traditional spreadsheet while facilitating what-if analyses. Given a user-specified reference cell, Fuzzy Spreadsheet automatically extracts and visualizes contextually relevant information, such as impact, uncertainty, and degree of neighborhood, for the selected and related cells. To evaluate its usability and the perceived mental effort required, we conducted a user study. The results show that our approach outperforms traditional spreadsheets in terms of answer correctness, response time, and perceived mental effort in almost all tasks tested. 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Currently domain experts in materials science mostly rely on sequential comparison of data using juxtaposition. Our work assists domain experts to perform detailed comparative analyses of large ensemble data in materials science applications. For this purpose, we developed a comparative visualization framework, that includes a tabular overview and three detailed visualization techniques to provide a holistic view on the similarities in the ensemble. We demonstrate the applicability of our framework on two specific usage scenarios and verify its techniques using a qualitative user study with 12 material experts. The insights gained from our work represent a significant advancement in the field of comparative material analysis of high-dimensional data. Our framework provides experts with a novel perspective on the data and eliminates the need for time-consuming sequential exploration of numerical data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 765, "image_height": 399, "name": "Heim_2021-Image.JPG", "type": "image/jpeg", "size": 69697, "path": "Publication:Heim_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/Heim_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/Heim_2021-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1354, 166, 611 ], "doi": "CoSi: Visual Comparison of Similarities in High-Dimensional Data Ensembles", "first_published": "2021-10-10", "journal": "VMV: Vision, Modeling, and Visualization", "open_access": "yes", "pages_from": "1", "pages_to": "8", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 765, "image_height": 399, "name": "Heim_2021-Image.JPG", "type": "image/jpeg", "size": 69697, "path": "Publication:Heim_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/Heim_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/Heim_2021-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Heim_2021-Paper.pdf", "type": "application/pdf", "size": 926914, "path": "Publication:Heim_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/Heim_2021-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/Heim_2021-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/", "__class": "Publication" }, { "id": "amabili2021", "type_id": "journalpaper_notalk", "tu_id": 300122, "repositum_id": "20.500.12708/138525", "title": "A Taxonomy-Driven Model for Designing Educational Games in Visualization", "date": "2021-10-01", "abstract": "Visualization literacy of the broader audiences is becoming an important topic, as we are increasingly surrounded by misleading, erroneous, or confusing visualizations. How can we educate the general masses about data visualization? We propose a twofold model for designing educational games in visualization based on the concept of constructivism and learning-by-playing. We base our approach on the idea of deconstruction and construction, borrowed from the domain of mathematics. We describe the conceptual development and design of our model through two games. First, we present a deconstruction-based game that requires the inspection, identification, and categorization of visualization characteristics (data, users, tasks, visual variables, visualization vocabulary), starting from a finalized visualization. Second, we propose a construction-based game where it is\npossible to compose visualizations bottom-up from individual visual characteristics. The two games use the same deck of cards with a simple design\nbased on visualization taxonomies, popular in visualization teaching.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": 293, "preview_image_height": 275, "name": "amabili2021-.pdf", "type": "application/pdf", "size": 10705214, "path": "Publication:amabili2021", "preview_name": "amabili2021-:preview.PNG", "preview_type": "image/png", "preview_size": 62760, "url": "https://www.cg.tuwien.ac.at/research/publications/2021/amabili2021/amabili2021-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/amabili2021/amabili2021-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1861, 1862, 1410 ], "doi": "https://doi.org/10.1109/mcg.2021.3115446", "first_published": "2021-10-01", "journal": "IEEE Computer Graphics and Applications", "number": "6", "open_access": "yes", "pages_from": "71", "pages_to": "79", "volume": "41", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": 293, "preview_image_height": 275, "name": "amabili2021-.pdf", "type": "application/pdf", "size": 10705214, "path": "Publication:amabili2021", "preview_name": "amabili2021-:preview.PNG", "preview_type": "image/png", "preview_size": 62760, "url": "https://www.cg.tuwien.ac.at/research/publications/2021/amabili2021/amabili2021-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/amabili2021/amabili2021-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/amabili2021/", "__class": "Publication" }, { "id": "murturi_PGG", "type_id": "inproceedings", "tu_id": 298543, "repositum_id": "20.500.12708/58547", "title": "On Provisioning Procedural Geometry Workloads on Edge Architectures", "date": "2021-10", "abstract": "Contemporary applications such as those within Augmented or Virtual Reality (AR/VR) pose challenges for software architectures supporting them, which have to adhere to stringent latency, data transmission, and performance requirements. This manifests in processing 3D models, whose 3D contents are increasingly generated procedurally rather than explicitly, resulting in computational workloads (i.e., perceived as Procedural Geometry Workloads) with particular characteristics and resource requirements. Traditionally, executing such workloads takes place in resource-rich environments such as the cloud. However, the massive amount of data transfer, heterogeneous devices, and networks involved affect latency, which in turn causes low-quality visualization in user-facing applications (e.g., AR/VR). To overcome such challenges, processing elements available close to end users can be leveraged to generate 3D models instead, and as such the edge emerges as a central architectural entity. This paper describes such procedural geometry workloads, their particular characteristics, and challenges to execute them on heterogeneous devices. Furthermore, we propose an architecture capable of provisioning procedural geometry workloads in edge scenarios.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2189, "image_height": 1487, "name": "murturi_PGG-teaser2.png", "type": "image/png", "size": 360252, "path": "Publication:murturi_PGG", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/murturi_PGG-teaser2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/murturi_PGG-teaser2:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1708, 1558, 1650, 193, 1709, 1706 ], "booktitle": "Proceedings of the 17th International Conference on Web Information Systems and Technologies - WEBIST", "cfp": { "name": "cfp.pdf", "type": "application/pdf", "error": "0", "size": "2105613", "orig_name": "cfp.pdf", "ext": "pdf" }, "date_from": "2021-10-26", "date_to": "2021-10-28", "doi": "10.5220/0010687800003058", "editor": " Francisco Domínguez Mayo, Massimo Marchiori and Joaquim Filipe", "event": "17th International Conference on Web Information Systems and Technologies - WEBIST", "isbn": "978-989-758-536-4", "lecturer": [ 1708 ], "organization": "INSTICC", "pages": "6", "pages_from": "354", "pages_to": "359", "publisher": "SciTePress", "research_areas": [ "Geometry", "Rendering" ], "keywords": [ "distributed systems", "procedural geometry", "rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "murturi_PGG-paper.pdf", "type": "application/pdf", "size": 3799321, "path": "Publication:murturi_PGG", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/murturi_PGG-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/murturi_PGG-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2189, "image_height": 1487, "name": "murturi_PGG-teaser2.png", "type": "image/png", "size": 360252, "path": "Publication:murturi_PGG", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/murturi_PGG-teaser2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/murturi_PGG-teaser2:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/", "__class": "Publication" }, { "id": "Gillmann2021", "type_id": "journalpaper_notalk", "tu_id": 300370, "repositum_id": "20.500.12708/138579", "title": "Ten Open Challenges in Medical Visualization ", "date": "2021-10", "abstract": "The medical domain has been an inspiring application area in visualization research for many years already, but many open challenges remain. The driving forces of medical visualization research have been strengthened by novel developments, for example, in deep learning, the advent of affordable VR technology, and the need to provide medical visualizations for broader audiences. At IEEE VIS 2020, we hosted an Application Spotlight session to highlight recent medical visualization research topics. With this article, we provide the visualization community with ten such open challenges, primarily focused on challenges related to the visualization of medical imaging data. We first describe the unique nature of medical data in terms of data preparation, access, and standardization. Subsequently, we cover open visualization research challenges related to uncertainty, multimodal and multiscale approaches, and evaluation. Finally, we emphasize challenges related to users focusing on explainable AI, immersive visualization, P4 medicine, and narrative visualization. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 607, "image_height": 528, "name": "Gillmann2021-Image.JPG", "type": "image/jpeg", "size": 52995, "path": "Publication:Gillmann2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/Gillmann2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/Gillmann2021-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1897, 1694, 166, 563, 459, 1898 ], "doi": "10.1109/MCG.2021.3094858", "first_published": "2021-10-01", "journal": "IEEE Computer Graphics and Applications", "number": "5", "open_access": "yes", "pages_from": "7", "pages_to": "15", "volume": "41", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Gillmann2021-.pdf", "type": "application/pdf", "size": 1220006, "path": "Publication:Gillmann2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/Gillmann2021-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/Gillmann2021-:thumb{{size}}.png" }, { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 607, "image_height": 528, "name": "Gillmann2021-Image.JPG", "type": "image/jpeg", "size": 52995, "path": "Publication:Gillmann2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/Gillmann2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/Gillmann2021-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/", "__class": "Publication" }, { "id": "grossmann-2021-layout", "type_id": "inproceedings", "tu_id": 300287, "repositum_id": "20.500.12708/58620", "title": "Does the Layout Really Matter? A Study on Visual Model Accuracy Estimation", "date": "2021-10", "abstract": "In visual interactive labeling, users iteratively assign labels to data items until the machine model reaches an acceptable accuracy. A crucial step of this process is to inspect the model's accuracy and decide whether it is necessary to label additional elements. In scenarios with no or very little labeled data, visual inspection of the predictions is required. Similarity-preserving scatterplots created through a dimensionality reduction algorithm are a common visualization that is used in these cases. Previous studies investigated the effects of layout and image complexity on tasks like labeling. However, model evaluation has not been studied systematically. We present the results of an experiment studying the influence of image complexity and visual grouping of images on model accuracy estimation. We found that users outperform traditional automated approaches when estimating a model's accuracy. Furthermore, while the complexity of images impacts the overall performance, the layout of the items in the plot has little to no effect on estimations.", "authors_et_al": false, "substitute": null, "main_image": { "description": "In both scatterplots shown here, the percentage of images with correctly predicted class labels (visualized as border color) is over 90%. We found that users can estimate these accuracies fairly well. Image complexity impacts overall performance, but the layout has very little effect on users’ estimations. 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We found that users can estimate these accuracies fairly well. Image complexity impacts overall performance, but the layout has very little effect on users’ estimations. 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In this paper, we present our work towards a new level-of-detail mechanism for procedural geometry shape grammars. Our approach automatically identifies and adds suitable surrogate rules to a shape grammar's derivation tree. Opportunities for surrogates are detected in a dedicated pre-processing stage. Where suitable, textured impostors are then used for rendering based on the current viewpoint at runtime. Our proposed methods generate simplified geometry with superior visual quality to the state-of-the-art and roughly the same rendering performance.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1920, "image_height": 1920, "name": "roth_vdi-teaser.png", "type": "image/png", "size": 6440142, "path": "Publication:roth_vdi", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/roth_vdi-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/roth_vdi-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1558, 1847, 1650, 193 ], "booktitle": "Pacific Graphics Short Papers, Posters, and Work-in-Progress Papers", "cfp": { "name": "cfp.pdf", "type": "application/pdf", "error": "0", "size": "982263", "orig_name": "cfp.pdf", "ext": "pdf" }, "date_from": "2021-10-18", "date_to": "2021-10-21", "doi": "10.2312/pg.20211390", "editor": "Lee, Sung-Hee and Zollmann, Stefanie and Okabe, Makoto and Wünsche, Burkhard", "event": "Pacific Graphics 2021", "isbn": "978-3-03868-162-5", "lecturer": [ 1558 ], "location": "online", "open_access": "yes", "organization": "The Eurographics Association", "pages": "2", "pages_from": "63", "pages_to": "64", "publisher": "Eurographics Association", "research_areas": [ "Geometry", "Rendering" ], "keywords": [ "procedural geometry", "real-time", "GPU" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "roth_vdi-paper.pdf", "type": "application/pdf", "size": 3651426, "path": "Publication:roth_vdi", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/roth_vdi-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/roth_vdi-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1920, "image_height": 1920, "name": "roth_vdi-teaser.png", "type": "image/png", "size": 6440142, "path": "Publication:roth_vdi", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/roth_vdi-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/roth_vdi-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/", "__class": "Publication" }, { "id": "sietzen-2021-perturber", "type_id": "journalpaper", "tu_id": 300245, "repositum_id": "20.500.12708/55628", "title": "Interactive Analysis of CNN Robustness", "date": "2021-10", "abstract": "While convolutional neural networks (CNNs) have found wide adoption as state-of-the-art models for image-related tasks, their predictions are often highly sensitive to small input perturbations, which the human vision is robust against.\nThis paper presents Perturber, a web-based application that allows users to instantaneously explore how CNN activations and predictions evolve when a 3D input scene is interactively perturbed. Perturber offers a large variety of scene modifications, such as camera controls, lighting and shading effects, background modifications, object morphing, as well as adversarial attacks, to facilitate the discovery of potential vulnerabilities. Fine-tuned model versions can be directly compared for qualitative evaluation of their robustness. Case studies with machine learning experts have shown that Perturber helps users to quickly generate hypotheses about model vulnerabilities and to qualitatively compare model behavior. Using quantitative analyses, we could replicate users' insights with other CNN architectures and input images, yielding new insights about the vulnerability of adversarially trained models. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "Activations and feature visualizations for neurons associated with complex shapes and curvatures in layer mixed4a in the standard model. 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Egocentrism has the potential to overcome some of the inherent downsides of virtual environments, e.g., visual clutter and cyber-sickness. To investigate the effect of this metaphor on immersive network exploration, we designed and evaluated interfaces of varying degrees of egocentrism. In a user study, we evaluated the effect of these interfaces on visual search tasks, efficiency of network traversal, spatial orientation, as well as cyber-sickness. Results show that a simple egocentric interface considerably improves visual search efficiency and navigation performance, yet does not decrease spatial orientation or increase cyber-sickness. A distorted occlusion-free view of the neighborhood only marginally improves the user's performance. We tie our findings together in an open online tool for egocentric network exploration, providing actionable insights on the benefits of the egocentric network exploration metaphor.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2921, "image_height": 735, "name": "sorger-2021-egonet-teaser.png", "type": "image/png", "size": 2079618, "path": "Publication:sorger-2021-egonet", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sorger-2021-egonet/sorger-2021-egonet-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sorger-2021-egonet/sorger-2021-egonet-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1072, 1705, 1720, 853, 1110 ], "cfp": { "name": "Call for Papers _ Pacific Graphics 2021.pdf", "type": "application/pdf", "error": "0", "size": "246798", "orig_name": "Call for Papers _ Pacific Graphics 2021.pdf", "ext": "pdf" }, "date_from": "2021-10-18", "date_to": "2021-10-21", "doi": "10.1111/cgf.14417", "event": "Pacific Graphics 21", "journal": "Computer Graphics Forum", "lecturer": [ 1072 ], "location": "Wellington, NZ", "open_access": "no", "pages": "12", "pages_from": "241", "pages_to": "252", "publisher": "John Wiley and Sons", "volume": "40", "research_areas": [ "InfoVis", "NetVis", "VR" ], "keywords": [ "Computer Graphics and Computer-Aided Design" ], "weblinks": [ { "href": "https://vis.csh.ac.at/egocentricvr/", "caption": "online egocentric network", "description": "Online tool for egocentric network exploration leveraging insights gathered at the user study", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2921, "image_height": 735, "name": "sorger-2021-egonet-teaser.png", "type": "image/png", "size": 2079618, "path": "Publication:sorger-2021-egonet", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sorger-2021-egonet/sorger-2021-egonet-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sorger-2021-egonet/sorger-2021-egonet-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "the paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sorger-2021-egonet-the paper.pdf", "type": "application/pdf", "size": 4211458, "path": "Publication:sorger-2021-egonet", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sorger-2021-egonet/sorger-2021-egonet-the paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sorger-2021-egonet/sorger-2021-egonet-the paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sorger-2021-egonet-video.mp4", "type": "video/mp4", "size": 295211748, "path": "Publication:sorger-2021-egonet", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sorger-2021-egonet/sorger-2021-egonet-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sorger-2021-egonet/sorger-2021-egonet-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2021/sorger-2021-egonet/sorger-2021-egonet-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sorger-2021-egonet/", "__class": "Publication" }, { "id": "stappen_SteFAS", "type_id": "inproceedings", "tu_id": 300417, "repositum_id": "20.500.12708/58631", "title": "Temporally Stable Content-Adaptive and Spatio-Temporal Shading Rate Assignment for Real-Time Applications", "date": "2021-10", "abstract": "We propose two novel methods to improve the efficiency and quality of real-time rendering applications: Texel differential-based content-adaptive shading (TDCAS) and spatio-temporally filtered adaptive shading (STeFAS). Utilizing Variable Rate Shading (VRS)-a hardware feature introduced with NVIDIA's Turing micro-architecture-and properties derived during rendering or Temporal Anti-Aliasing (TAA), our techniques adapt the resolution to improve the performance and quality of real-time applications. VRS enables different shading resolution for different regions of the screen during a single render pass. In contrast to other techniques, TDCAS and STeFAS have very little overhead for computing the shading rate. STeFAS enables up to 4x higher rendering resolutions for similar frame rates, or a performance increase of 4× at the same resolution.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1227, "image_height": 799, "name": "stappen_SteFAS-teaser.png", "type": "image/png", "size": 126643, "path": "Publication:stappen_SteFAS", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/stappen_SteFAS-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/stappen_SteFAS-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1406, 848, 1650, 193 ], "booktitle": "Pacific Graphics Short Papers, Posters, and Work-in-Progress Papers", "cfp": { "name": "cfp.pdf", "type": "application/pdf", "error": "0", "size": "982263", "orig_name": "cfp.pdf", "ext": "pdf" }, "date_from": "2021-10-18", "date_to": "2021-10-21", "doi": "10.2312/pg.20211391", "editor": "Lee, Sung-Hee and Zollmann, Stefanie and Okabe, Makoto and Wünsche, Burkhard", "event": "Pacific Graphics 2021", "isbn": "978-3-03868-162-5", "lecturer": [ 1406 ], "location": "online", "organization": "The Eurographics Association", "pages": "2", "pages_from": "65", "pages_to": "66", "publisher": "Eurographics Association", "research_areas": [ "Perception", "Rendering" ], "keywords": [ "variable rate shading", "temporal antialiasing" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "stappen_SteFAS-paper.pdf", "type": "application/pdf", "size": 173697, "path": "Publication:stappen_SteFAS", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/stappen_SteFAS-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/stappen_SteFAS-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1227, "image_height": 799, "name": "stappen_SteFAS-teaser.png", "type": "image/png", "size": 126643, "path": "Publication:stappen_SteFAS", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/stappen_SteFAS-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/stappen_SteFAS-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/", "__class": "Publication" }, { "id": "stoff-concepMap-2021", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Concept Map Mining as Browser Extension", "date": "2021-10", "abstract": "Concept maps are a well-known method of structured representation of knowledge. They\nare represented as a node-link diagram that showcases different concepts and their\nrelations to each other, which are often extracted from unstructured text. Manual\ngeneration of such concept maps can be a tedious task, but fully automated approaches\nare often not able to satisfy qualitative expectations. Semi-automated methods have\nshown to be a satisfying compromise between these two. It is especially important that\nthe manual aspect of creating a concept map is as intuitive and easy as possible so that\nthe user’s workflow is not interrupted, and tasks can be completed efficiently. Therefore,\nit is the graphical user interface that plays a critical role in guaranteeing a satisfying\nexperience and swift completion of tasks.\n\nIt is therefore the aim of this thesis to create an environment, in which users are able\nto extract meaningful concepts from arbitrary websites and connect these concepts to\nexisting knowledge structures. In other words, it should visually convey how new, unseen\ninformation fits to the knowledge they already have. For this purpose, an extension to\nthe Google Chrome browser is presented in this thesis, that allows the user to analyze\nthe text on any website on the internet with a provided natural language processing\nsoftware. Concepts and relations can then be highlighted in the original text to visualize\ntheir connection to existing knowledge. At the user’s choice, new concepts, relations, and\ncombinations of the two can be added to existing concept maps. These concept maps\ncan be automatically visualized as a node-link diagram.\n\nWith the help of a small user evaluation, we conclude that the approach has definite\npotential but still lacks the reliability, especially with the automatic text processing and\nconcept extraction, for real-world use-cases.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 892, "image_height": 317, "name": "stoff-concepMap-2021-teaser.PNG", "type": "image/png", "size": 140973, "path": "Publication:stoff-concepMap-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/stoff-concepMap-2021/stoff-concepMap-2021-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/stoff-concepMap-2021/stoff-concepMap-2021-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1865 ], "date_end": "2021-10", "date_start": "2021-04", "matrikelnr": "11777706", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://github.com/Valcaad/bacConceptMaps", "caption": "GitHub", "description": "Code for the Browser Extension", "main_file": 0 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 892, "image_height": 317, "name": "stoff-concepMap-2021-teaser.PNG", "type": "image/png", "size": 140973, "path": "Publication:stoff-concepMap-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/stoff-concepMap-2021/stoff-concepMap-2021-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/stoff-concepMap-2021/stoff-concepMap-2021-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "stoff-concepMap-2021-thesis.pdf", "type": "application/pdf", "size": 4423850, "path": "Publication:stoff-concepMap-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/stoff-concepMap-2021/stoff-concepMap-2021-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/stoff-concepMap-2021/stoff-concepMap-2021-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/stoff-concepMap-2021/", "__class": "Publication" }, { "id": "unterguggenberger-2021-msh", "type_id": "journalpaper", "tu_id": 300418, "repositum_id": "20.500.12708/58632", "title": "Conservative Meshlet Bounds for Robust Culling of Skinned Meshes", "date": "2021-10", "abstract": "Following recent advances in GPU hardware development and newly introduced rendering pipeline extensions, the segmentation of input geometry into small geometry clusters-so-called meshlets-has emerged as an important practice for efficient rendering of complex 3D models. Meshlets can be processed efficiently using mesh shaders on modern graphics processing units, in order to achieve streamlined geometry processing in just two tightly coupled shader stages that allow for dynamic workload manipulation in-between. The additional granularity layer between entire models and individual triangles enables new opportunities for fine-grained visibility culling methods. However, in contrast to static models, view frustum and backface culling on a per-meshlet basis for skinned, animated models are difficult to achieve while respecting the conservative spatio-temporal bounds that are required for robust rendering results. In this paper, we describe a solution for computing and exploiting relevant conservative bounds for culling meshlets of models that are animated using linear blend skinning. By enabling visibility culling for animated meshlets, our approach can help to improve rendering performance and alleviate bottlenecks in the notoriously performanceand memory-intensive skeletal animation pipelines of modern real-time graphics applications.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 849, "image_height": 653, "name": "unterguggenberger-2021-msh-teaser.png", "type": "image/png", "size": 990337, "path": "Publication:unterguggenberger-2021-msh", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 848, 1650, 1795, 193 ], "booktitle": "Computer Graphics Forum", "cfp": { "name": "cfp.pdf", "type": "application/pdf", "error": "0", "size": "982263", "orig_name": "cfp.pdf", "ext": "pdf" }, "date_from": "2021-10-18", "date_to": "2021-10-21", "doi": "10.1111/cgf.14401", "event": "Pacific Graphics 2021", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 848 ], "location": "online", "number": "7", "open_access": "yes", "pages": "13", "pages_from": "57", "pages_to": "69", "publisher": "Eurographics Association", "volume": "40", "research_areas": [ "Geometry", "Rendering" ], "keywords": [ "real-time rendering", "meshlet", "mesh shader", "task shader", "view frustum culling", "backface culling", "Vulkan", "vertex skinning", "animation", "conservative bounds", "bounding boxes", "Rodrigues' rotation formula", "spatio-temporal bounds" ], "weblinks": [], "files": [ { "description": "Conservative Meshlet Bounds for Robust Culling of Skinned Meshes", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "unterguggenberger-2021-msh-paper.pdf", "type": "application/pdf", "size": 13842539, "path": "Publication:unterguggenberger-2021-msh", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-paper:thumb{{size}}.png" }, { "description": "Slides used for the talk", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "unterguggenberger-2021-msh-slides.pdf", "type": "application/pdf", "size": 4963013, "path": "Publication:unterguggenberger-2021-msh", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-slides:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 849, "image_height": 653, "name": "unterguggenberger-2021-msh-teaser.png", "type": "image/png", "size": 990337, "path": "Publication:unterguggenberger-2021-msh", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/", "__class": "Publication" }, { "id": "Kolter_2021", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Creating an Interactive Web App for Computer Graphics Topics", "date": "2021-09-28", "abstract": "Computer Graphics is, as the name suggests, a subdomain of Computer Science with strong relation to visuals. Often a lot of complex math is necessary to make a computer render a visual representation of something onto the screen. However, in many cases the algorithms used can also be explained nicely in a very visual manner. The goal of this Bachelor’s Thesis was to find novel ways to introduce people interested in Computer Graphics to selected topics, mainly focusing on Bézier Curves and their generalizations (B-Spline and NURBS curves). To reach this goal, interactive web-based demos that can be viewed with any state-of-the-art browser were created.\nRelated existing work is presented (publications on approaches to teaching Computer Graphics and existing teaching material, as well as learning resources/demos that were found online). The ways in which the collected knowledge was used when implementing the demos are described as well as key decisions that had to be made for the concrete implementation of the web app. Important implementation details are discussed, too. Finally, an overview of the lessons learnt over the course of the whole project is given.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1856 ], "date_end": "2021-09-30", "date_start": "2021-03-10", "matrikelnr": "11810909", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Kolter_2021-Bachelor thesis.pdf", "type": "application/pdf", "size": 431252, "path": "Publication:Kolter_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kolter_2021/Kolter_2021-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kolter_2021/Kolter_2021-Bachelor thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kolter_2021/", "__class": "Publication" }, { "id": "rait_alexius-2021-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Fast Radial Search for Progressive Photon Mapping", "date": "2021-09-15", "abstract": "In many applications, we need to find neighbors in a point cloud for a large number of locations, so we want to be able to do that quickly. This task can be achieved by locating the k-nearest neighbors (kNN) but just querying the interior of a fixed-sized ball - radius search - is faster since we do not have to iteratively adjust the search radius. For fast retrieval of points in 3D, Fast kNN projects the point cloud to a grid, e.g. screen space sized, and packs it densely so that points can be read consecutively from memory (see Bachelor thesis of Reinwald). An example application is described by Hachisuka et al. \"Progressive Photon Mapping\" and an open source implementation based on that is available here. Projective radial search is also described by Bewley and Upcroft \"Advantages of exploiting projection structure for segmenting dense 3D point clouds\".\nTasks\n\n Adapt the existing CUDA kNN implementation of Reinwald to a fixed search radius wiith thrust::count to create the packed buffer\n Optimize the querying code for parallel processing\n Compare with radius search and photon mapping implementations given above\n Clean up code for release as an open source project.\n\nRequirements\n\nGood optimizing skills. Shader or CUDA experience is a bonus.\nEnvironment\n\nC/C++ and CUDA, platform-independent, LGPL license\n\nA bonus of €500 if completed to satisfaction within an agreed time-frame of 6 months.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 198, "image_height": 199, "name": "rait_alexius-2021-baa-image.png", "type": "image/png", "size": 47394, "path": "Publication:rait_alexius-2021-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/rait_alexius-2021-baa/rait_alexius-2021-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/rait_alexius-2021-baa/rait_alexius-2021-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1849 ], "date_end": "2022-03-15", "date_start": "2021-09-15", "matrikelnr": "11777774", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "k-nearest neighbors", "photon mapping", "parallel optimization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 198, "image_height": 199, "name": "rait_alexius-2021-baa-image.png", "type": "image/png", "size": 47394, "path": "Publication:rait_alexius-2021-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/rait_alexius-2021-baa/rait_alexius-2021-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/rait_alexius-2021-baa/rait_alexius-2021-baa-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "rait_alexius-2021-baa-thesis.pdf", "type": "application/pdf", "size": 13322204, "path": "Publication:rait_alexius-2021-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/rait_alexius-2021-baa/rait_alexius-2021-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/rait_alexius-2021-baa/rait_alexius-2021-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Superhumans" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/rait_alexius-2021-baa/", "__class": "Publication" }, { "id": "Zeng_2021", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Data-Driven Colormap Adjustment for Exploring Spatial Variations in Scalar Fields", "date": "2021-09-01", "abstract": "Colormapping is an effective and popular visualization technique for analyzing patterns in scalar fields. Scientists usually adjust a default colormap to show hidden patterns by shifting the colors in a trial-and-error process. To improve efficiency, efforts have been made to automate the colormap adjustment process based on data properties (e.g., statistical data value or distribution). However, as the data properties have no direct correlation to the spatial variations, previous methods may be insufficient to reveal the dynamic range of spatial variations hidden in the data. To address the above issues, we conduct a pilot analysis with domain experts and summarize three requirements for the colormap adjustment process. Based on the requirements, we formulate colormap adjustment as an objective function, composed of a boundary term and a fidelity term, which is flexible enough to support interactive functionalities. We compare our approach with alternative methods under a quantitative measure and a qualitative user study (25 participants), based on a set of data with broad distribution diversity. We further evaluate our approach via three case studies with six domain experts. Our method is not necessarily more optimal than alternative methods of revealing patterns, but rather is an additional color adjustment option for exploring data with a dynamic range of spatial variations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 576, "image_height": 323, "name": "Zeng_2021-Image.JPG", "type": "image/jpeg", "size": 41637, "path": "Publication:Zeng_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1883, 1884, 1590, 1885, 1886, 171, 1887 ], "doi": "10.1109/TVCG.2021.3109014", "journal": "IEEE Transactions on Visualization and Computer Graphics", "open_access": "yes", "pages_from": "1", "pages_to": "15", "volume": "9", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 576, "image_height": 323, "name": "Zeng_2021-Image.JPG", "type": "image/jpeg", "size": 41637, "path": "Publication:Zeng_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Zeng_2021-Paper.pdf", "type": "application/pdf", "size": 23696916, "path": "Publication:Zeng_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/", "__class": "Publication" }, { "id": "musleh_maath_2021_mam", "type_id": "poster", "tu_id": 300507, "repositum_id": "20.500.12708/58636", "title": "Agritology: A Decision Support System for Local Farmers in Malta and Palestine", "date": "2021-09", "abstract": " In this project, we are utilizing the potential of Semantic Web in organizing shareable knowledge. We constructed an ontology of the farming process that is reusable and interoperable in the domain of Agriculture. The ontology supports the decision making of farmers in Malta and Palestine. The web application uses the ontology to share knowledge based primarily on user input and other external data sources. In addition to English, information is also presented in Maltese and Arabic in aim to preserve domain-specific vocabulary in these languages.", "authors_et_al": false, "substitute": null, "main_image": { "description": "GUI of the Solution", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 847, "image_height": 784, "name": "musleh_maath_2021_mam-image.png", "type": "image/png", "size": 188463, "path": "Publication:musleh_maath_2021_mam", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath_2021_mam/musleh_maath_2021_mam-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath_2021_mam/musleh_maath_2021_mam-image:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 5215, 1867 ], "cfp": { "name": "3rd International Workshop on Semantics for Biodiversity.pdf", "type": "application/pdf", "error": "0", "size": "141009", "orig_name": "3rd International Workshop on Semantics for Biodiversity.pdf", "ext": "pdf" }, "date_from": "2021-09-11", "date_to": "2021-09-18", "event": "3rd International Workshop on Semantics for Biodiversity (S4BioDiv)", "journal": "CEUR Workshop Proceedings ", "location": "Bolzano, Italy", "open_access": "yes", "pages": "5", "pages_from": "1", "pages_to": "5", "research_areas": [ "InfoVis" ], "keywords": [ "Semantic Web", "Urban Agriculture", "Ontology" ], "weblinks": [ { "href": "http://ceur-ws.org/Vol-2969/paper3-s4biodiv.pdf", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "GUI of the Solution", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 847, "image_height": 784, "name": "musleh_maath_2021_mam-image.png", "type": "image/png", "size": 188463, "path": "Publication:musleh_maath_2021_mam", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath_2021_mam/musleh_maath_2021_mam-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath_2021_mam/musleh_maath_2021_mam-image:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath_2021_mam/", "__class": "Publication" }, { "id": "musleh_maath-2021-mam1", "type_id": "inproceedings", "tu_id": 300419, "repositum_id": "20.500.12708/55641", "title": "Visual Analysis of Industrial Multivariate Time Series", "date": "2021-09", "abstract": "The recent development in the data analytics field provides a boost in production for modern industries. Small-sized factories intend to take full advantage of the data collected by sensors used in their machinery. The ultimate goal is to minimize cost and maximize quality, resulting in an increase in profit. In collaboration with domain experts, we implemented a data visualization tool to enable decision-makers in a plastic factory to improve their production process. We investigate three different aspects: methods for preprocessing multivariate time series data, clustering approaches for the already refined data, and visualization techniques that aid domain experts in gaining insights into the different stages of the production process. Here we present our ongoing results grounded in a human-centered development process. We adopt a formative evaluation approach to continuously upgrade our dashboard design that eventually meets partners' requirements and follows the best practices within the field.", "authors_et_al": false, "substitute": null, "main_image": { "description": "GUI of the Solution", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 916, "image_height": 621, "name": "musleh_maath-2021-mam1-image.png", "type": "image/png", "size": 369431, "path": "Publication:musleh_maath-2021-mam1", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath-2021-mam1/musleh_maath-2021-mam1-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath-2021-mam1/musleh_maath-2021-mam1-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1867, 5213, 5214 ], "address": "New York, NY, USA", "booktitle": "The 14th International Symposium on Visual Information Communication and Interaction", "cfp": { "name": "Submissions - VINCI 2021.pdf", "type": "application/pdf", "error": "0", "size": "2566211", "orig_name": "Submissions - VINCI 2021.pdf", "ext": "pdf" }, "date_from": "2021-09-06", "date_to": "2021-09-08", "doi": "10.1145/3481549.3481557", "editor": "Karsten Klein, Michael Burch, Daniel Limberger, Matthias Trapp", "event": "VINCI 2021: The 14th International Symposium on Visual Information Communication and Interaction", "first_published": "2021-09", "isbn": "9781450386470", "lecturer": [ 1867 ], "location": "Potsdam, germany", "note": "Best Short Paper Award", "open_access": "no", "pages": "5", "pages_from": "1", "pages_to": "5", "publisher": "Association for Computing Machinery", "series": "VINCI 2021", "research_areas": [ "InfoVis" ], "keywords": [ "time series data", "unsupervised machine learning", "visualization" ], "weblinks": [ { "href": "https://dl.acm.org/doi/10.1145/3481549.3481557", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "GUI of the Solution", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 916, "image_height": 621, "name": "musleh_maath-2021-mam1-image.png", "type": "image/png", "size": 369431, "path": "Publication:musleh_maath-2021-mam1", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath-2021-mam1/musleh_maath-2021-mam1-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath-2021-mam1/musleh_maath-2021-mam1-image:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath-2021-mam1/", "__class": "Publication" }, { "id": "pahr-2021-vologram", "type_id": "inproceedings", "tu_id": 300436, "repositum_id": "20.500.12708/58633", "title": "Vologram: An Educational Holographic Sculpture for Volumetric Medical Data Physicalization", "date": "2021-09", "abstract": "Real-world sculptures that display patient imaging data for anatomical education purposes have seen a recent resurgence through the field of data physicalization. In this paper, we describe an automated process for the computer-assisted generation of sculptures that can be employed for anatomical education among the general population. We propose a workflow that supports non-expert users to generate and physically display volumetric medical data in a visually appealing and engaging way. Our approach generates slide-based, interactive sculptures-called volograms-that resemble holograms of underlying medical data. The volograms are made out of affordable and readily available materials (e.g., transparent foils and cardboard) and can be produced through commonly available means. To evaluate the educational value of the proposed approach with our target audience, we assess the volograms, as opposed to classical, on-screen medical visualizations in a user study. The results of our study, while highlighting current weaknesses of our physicalization, also point to interesting future directions.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4032, "image_height": 3024, "name": "pahr-2021-vologram-Image.JPG", "type": "image/jpeg", "size": 954594, "path": "Publication:pahr-2021-vologram", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1813, 1464, 1410 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine", "cfp": { "name": "Full, Short & Survey Papers – VCBM 2021.pdf", "type": "application/pdf", "error": "0", "size": "446938", "orig_name": "Full, Short & Survey Papers – VCBM 2021.pdf", "ext": "pdf" }, "doi": "10.2312/vcbm.20211341", "event": "Eurographics Workshop on Visual Computing for Biology and Medicine", "issn": "2070-5786", "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine", "lecturer": [ 1813 ], "pages": "5", "pages_from": "19", "pages_to": "23", "publisher": "Eurographics Association", "volume": "VCBM 2021", "research_areas": [ "Fabrication", "IllVis", "MedVis" ], "keywords": [ "Physicalization", "Anatomy Education" ], "weblinks": [ { "href": "https://doi.org/10.2312/vcbm.20211341", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4032, "image_height": 3024, "name": "pahr-2021-vologram-Image.JPG", "type": "image/jpeg", "size": 954594, "path": "Publication:pahr-2021-vologram", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "pahr-2021-vologram-Video.mp4", "type": "video/mp4", "size": 138438430, "path": "Publication:pahr-2021-vologram", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/", "__class": "Publication" }, { "id": "Radwan_2021_Occ", "type_id": "journalpaper", "tu_id": 300508, "repositum_id": "20.500.12708/58637", "title": "Fast occlusion-based point cloud exploration", "date": "2021-09", "abstract": "Large-scale unstructured point cloud scenes can be quickly visualized without prior reconstruction by utilizing levels-of-detail structures to load an appropriate subset from out-of-core storage for rendering the current view. However, as soon as we need structures within the point cloud, e.g., for interactions between objects, the construction of state-of-the-art data structures requires O(NlogN) time for N points, which is not feasible in real time for millions of points that are possibly updated in each frame. Therefore, we propose to use a surface representation structure which trades off the (here negligible) disadvantage of single-frame use for both output-dominated and near-linear construction time in practice, exploiting the inherent 2D property of sampled surfaces in 3D. This structure tightly encompasses the assumed surface of unstructured points in a set of bounding depth intervals for each cell of a discrete 2D grid. The sorted depth samples in the structure permit fast surface queries, and on top of that an occlusion graph for the scene comes almost for free. This graph enables novel real-time user operations such as revealing partially occluded objects, or scrolling through layers of occluding objects, e.g., walls in a building. As an example application we showcase a 3D scene exploration framework that enables fast, more sophisticated interactions with point clouds rendered in real time.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 533, "image_height": 746, "name": "Radwan_2021_Occ-.png", "type": "image/png", "size": 645321, "path": "Publication:Radwan_2021_Occ", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Radwan_2021_Occ/Radwan_2021_Occ-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Radwan_2021_Occ/Radwan_2021_Occ-:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 923, 948, 193 ], "booktitle": "The Visual Computer", "cfp": { "name": "CGI-call for papers.pdf", "type": "application/pdf", "error": "0", "size": "1893892", "orig_name": "CGI-call for papers.pdf", "ext": "pdf" }, "date_from": "2021-09-06", "date_to": "2021-09-10", "doi": "10.1007/s00371-021-02243-x", "event": "Computer Graphics International 2021", "first_published": "2021-07-28", "issn": "1432-2315", "journal": "The Visual Computer Journal", "lecturer": [ 923 ], "location": "online", "open_access": "yes", "pages": "13", "pages_from": "2769", "pages_to": "2781", "publisher": "Springer", "volume": "37", "research_areas": [ "Modeling" ], "keywords": [ "Software", "Computer Graphics and Computer-Aided Design", "Computer Vision and Pattern Recognition" ], "weblinks": [ { "href": "https://rdcu.be/ctQay", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 533, "image_height": 746, "name": "Radwan_2021_Occ-.png", "type": "image/png", "size": 645321, "path": "Publication:Radwan_2021_Occ", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Radwan_2021_Occ/Radwan_2021_Occ-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Radwan_2021_Occ/Radwan_2021_Occ-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Radwan_2021_Occ-paper.pdf", "type": "application/pdf", "size": 2364366, "path": "Publication:Radwan_2021_Occ", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Radwan_2021_Occ/Radwan_2021_Occ-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Radwan_2021_Occ/Radwan_2021_Occ-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Radwan_2021_Occ/", "__class": "Publication" }, { "id": "batik-2021-gd", "type_id": "poster", "tu_id": 300510, "repositum_id": "20.500.12708/55642", "title": "Mixed Metro Maps with User-Specied Motifs", "date": "2021-09", "abstract": "In this poster, we propose an approach to generalize mixed metro map layouts with user-defined shapes for route-finding and ad-vertisement purposes. In a mixed layout, specific lines are arranged in an iconic shape, and the remaining are in octilinear styles. The shape is expected to be recognizable, while the layout still fulfilling the classical octilinear design criteria for metro maps. The approach is in three steps, where we first search for the best fitting edge segment that approximates the guide shape and utilize least squares optimization to synthesize the layout automatically.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1637, "image_height": 1030, "name": "batik-2021-gd-image.png", "type": "image/png", "size": 116119, "path": "Publication:batik-2021-gd", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/batik-2021-gd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/batik-2021-gd-image:thumb{{size}}.png" }, "sync_repositum_override": "date,authors", "repositum_presentation_id": null, "authors": [ 1830, 1699, 1579, 1877, 1464 ], "cfp": { "name": "cfp2-gd2021.pdf", "type": "application/pdf", "error": "0", "size": "90251", "orig_name": "cfp2-gd2021.pdf", "ext": "pdf" }, "date_from": "2021-09-14", "date_to": "2021-09-17", "event": "29th International Symposium on Graph Drawing and Network Visualization", "location": "Tübingen", "pages": "4", "pages_from": "1", "pages_to": "4", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1637, "image_height": 1030, "name": "batik-2021-gd-image.png", "type": "image/png", "size": 116119, "path": "Publication:batik-2021-gd", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/batik-2021-gd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/batik-2021-gd-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "batik-2021-gd-paper.pdf", "type": "application/pdf", "size": 1561630, "path": "Publication:batik-2021-gd", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/batik-2021-gd-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/batik-2021-gd-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/", "__class": "Publication" }, { "id": "magg2021", "type_id": "inproceedings", "tu_id": 300509, "repositum_id": "20.500.12708/58638", "title": "Visual Assessment of Growth Prediction in Brain Structures after Pediatric Radiotherapy", "date": "2021-09", "abstract": "Pediatric brain tumor radiotherapy research is investigating how radiation influences the development and function of a pa-\ntient’s brain. To better understand how brain growth is affected by the treatment, the brain structures of the patient need to be\nexplored and analyzed pre- and post-treatment. In this way, anatomical changes are observed over a long period, and are as-\nsessed as potential early markers of cognitive or functional damage. In this early work, we propose an automated approach for\nthe visual assessment of the growth prediction of brain structures in pediatric brain tumor radiotherapy patients. Our approach\nreduces the need for re-segmentation, and the time required for it. We employ as a basis pre-treatment Computed Tomography\n(CT) scans with manual delineations (i.e., segmentation masks) of specific brain structures of interest. These pre-treatment\nmasks are used as initialization, to predict the corresponding masks on multiple post-treatment follow-up Magnetic Resonance\n(MR) images, using an active contour model approach. For the accuracy quantification of the automatically predicted post-\ntreatment masks, a support vector regressor (SVR) with features related to geometry, intensity, and gradients is trained on the\npre-treatment data. Finally, a distance transform is employed to calculate the distances between pre- and post-treatment data\nand to visualize the predicted growth of a brain structure, along with its respective accuracy. Although segmentations of larger\nstructures are more accurately predicted, the growth behavior of all structures is learned correctly, as indicated by the SVR\nresults. This suggests that our pipeline is a positive initial step for the visual assessment of brain structure growth predictio", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 609, "preview_image_height": 541, "name": "magg2021-.pdf", "type": "application/pdf", "size": 1423124, "path": "Publication:magg2021", "preview_name": "magg2021-:preview.PNG", "preview_type": "image/png", "preview_size": 209086, "url": "https://www.cg.tuwien.ac.at/research/publications/2021/magg2021/magg2021-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/magg2021/magg2021-:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1860, 1863, 1445, 1864, 1410 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2021).", "cfp": { "name": "Full, Short & Survey Papers – VCBM 2021.pdf", "type": "application/pdf", "error": "0", "size": "229013", "orig_name": "Full, Short & Survey Papers – VCBM 2021.pdf", "ext": "pdf" }, "doi": "10.2312/vcbm.20211343", "event": "EG VCBM 2021", "lecturer": [ 1860 ], "pages": "5", "pages_from": "31", "pages_to": "35", "publisher": "Eurographics Association", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 609, "preview_image_height": 541, "name": "magg2021-.pdf", "type": "application/pdf", "size": 1423124, "path": "Publication:magg2021", "preview_name": "magg2021-:preview.PNG", "preview_type": "image/png", "preview_size": 209086, "url": "https://www.cg.tuwien.ac.at/research/publications/2021/magg2021/magg2021-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/magg2021/magg2021-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/magg2021/", "__class": "Publication" }, { "id": "eibens-2021-tsgpmg", "type_id": "inproceedings", "tu_id": 300511, "repositum_id": "20.500.12708/58634", "title": "Temporal-Scope Grammars for Polyphonic Music Generation", "date": "2021-08-27", "abstract": "We present temporal-scope grammars for automatic composition of polyphonic music. In the context of this work, polyphony can refer to any arrangement of musical entities (notes, chords, measures, etc.) that is not purely sequential in the time dimension. Given that the natural output of a grammar is a sequence, the generation of sequential structures, such as melodies, harmonic progressions, and rhythmic patterns, follows intuitively. By contrast, we associate each musical entity with an independent temporal scope, allowing the representation of arbitrary note arrangements on every level of the grammar. With overlapping entities we can model chords, drum patterns, and parallel voices – polyphony on small and large scales. We further propose the propagation of sub-grammar results through the derivation tree for synchronizing independently generated voices. For example, we can synchronize the notes of a melody and bass line by reading from a shared harmonic progression.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "thumb", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 679, "image_height": 660, "name": "eibens-2021-tsgpmg-thumb.png", "type": "image/png", "size": 11252, "path": "Publication:eibens-2021-tsgpmg", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibens-2021-tsgpmg/eibens-2021-tsgpmg-thumb.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibens-2021-tsgpmg/eibens-2021-tsgpmg-thumb:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1362, 1303, 193 ], "address": "New York, NY, USA", "booktitle": "Proceedings of the 9th ACM SIGPLAN International Workshop on Functional Art, Music, Modelling, and Design (FARM ’21)", "cfp": { "name": "FARM - FARM 2021 CFP.pdf", "type": "application/pdf", "error": "0", "size": "3140755", "orig_name": "FARM - FARM 2021 CFP.pdf", "ext": "pdf" }, "date_from": "2021-08-27", "date_to": "2021-08-27", "doi": "10.1145/3471872.3472971", "event": "ACM SIGPLAN International Workshop on Functional Art, Music, Modelling, and Design", "first_published": "2021-08-27", "isbn": "978-1-4503-8613-5/21/08", "lecturer": [ 1362 ], "location": "Virtual", "open_access": "no", "pages": "12", "pages_from": "23", "pages_to": "34", "publisher": "ACM Press", "research_areas": [ "Modeling" ], "keywords": [ "algorithmic composition", "music", "domain specific language" ], "weblinks": [ { "href": "https://github.com/eibens/farm-2021", "caption": "demo", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eibens-2021-tsgpmg-preprint.pdf", "type": "application/pdf", "size": 677499, "path": "Publication:eibens-2021-tsgpmg", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibens-2021-tsgpmg/eibens-2021-tsgpmg-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibens-2021-tsgpmg/eibens-2021-tsgpmg-preprint:thumb{{size}}.png" }, { "description": null, "filetitle": "thumb", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 679, "image_height": 660, "name": "eibens-2021-tsgpmg-thumb.png", "type": "image/png", "size": 11252, "path": "Publication:eibens-2021-tsgpmg", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibens-2021-tsgpmg/eibens-2021-tsgpmg-thumb.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibens-2021-tsgpmg/eibens-2021-tsgpmg-thumb:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibens-2021-tsgpmg/", "__class": "Publication" }, { "id": "Nowak_2021", "type_id": "masterthesis", "tu_id": 300512, "repositum_id": "20.500.12708/79755", "title": "Interactive Correlation Panels for the Geological Mapping of the Martian Surface", "date": "2021-08-09", "abstract": "In recent years, digital outcrop models have become a popular tool to carry out geological investigations on the computer. These high-resolution, 3-dimensional models of outcrops are also created for the exploration of Mars. With specialized software, geologists can annotate geological attributes on digital outcrop models, such as the boundaries between di˙erent rock layers. After annotating, geologists create logs, a graphic description of the rock layers. To establish a geological model of a larger region, corresponding layers are correlated in multiple logs. The correlated layers of the logs are graphically linked in a correlation panel. Creating correlation panels is very time-consuming, and they are usually created by hand with drawing programs. Due to this restriction, the diagrams are created at the end of the interpretation process to avoid time-consuming editing afterwards. When switching to a drawing program, the connection between the original data and the encoded data in the diagram is also lost. This work is part of a design study with the aim of automating the creation of correlation panels, and turning a static illustration into an interactive application that can be integrated into the interpretation process. In this work, after a short introduction to the exploration of Mars with the help of geology, we analyse published correlation panels to explore the design space of these illustrations. In addition to that analysis we conducted workshops and a research stay at Imperial College London with our domain collaborators. Using the information gained from the analysis and our collaborators, we describe possible design choices, and extract the minimum requirements for a prototype. The prototype created in the course of this work was later extended and presented in a paper that encompasses the whole design study.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 678, "image_height": 348, "name": "Nowak_2021-image.JPG", "type": "image/jpeg", "size": 47583, "path": "Publication:Nowak_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Nowak_2021/Nowak_2021-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Nowak_2021/Nowak_2021-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1817 ], "date_end": "2021-08-09", "date_start": "2019-10-09", "diploma_examina": "2021-08-09", "matrikelnr": "00626227", "open_access": "yes", "pages": "133", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [ "visual analytics", "2D-3D integration" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 678, "image_height": 348, "name": "Nowak_2021-image.JPG", "type": "image/jpeg", "size": 47583, "path": "Publication:Nowak_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Nowak_2021/Nowak_2021-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Nowak_2021/Nowak_2021-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Nowak_2021-Master Thesis.pdf", "type": "application/pdf", "size": 3965095, "path": "Publication:Nowak_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Nowak_2021/Nowak_2021-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Nowak_2021/Nowak_2021-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Nowak_2021-Poster.pdf", "type": "application/pdf", "size": 1682015, "path": "Publication:Nowak_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Nowak_2021/Nowak_2021-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Nowak_2021/Nowak_2021-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Nowak_2021/", "__class": "Publication" }, { "id": "Mortezapoor2021ssc", "type_id": "inproceedings", "tu_id": 300514, "repositum_id": "20.500.12708/58640", "title": "Safety and Security Challenges for Collaborative Robotics in VR", "date": "2021-08-06", "abstract": "Virtual reality (VR) security and privacy are not limited to existing software solutions and applications. In this article, we present to the community the challenges of VR systems with robot integration. Integrating robots under ROS poses a massive risk in terms of data security. At the same time, using a robot for simulations in VR requires, first and foremost, the user's safety - hence redundant data collection and sharing. We want to draw the community's attention to these problems through our example in order to ensure that such systems are thoroughly developed in all directions and well prepared for further deployment to the consumer market. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 670, "image_height": 699, "name": "Mortezapoor2021ssc-image.png", "type": "image/png", "size": 653220, "path": "Publication:Mortezapoor2021ssc", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/Mortezapoor2021ssc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/Mortezapoor2021ssc-image:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1881, 1712 ], "booktitle": "Proceedings of the 1st International Workshop on Security for XR and XR for Security (VR4Sec) at Symposium On Usable Privacy and Security (SOUPS) 2021", "cfp": { "name": "home_call.pdf", "type": "application/pdf", "error": "0", "size": "367194", "orig_name": "home_call.pdf", "ext": "pdf" }, "date_from": "2021-08-06", "event": "The 1st International Workshop on Security for XR and XR for Security (VR4Sec) at Symposium On Usable Privacy and Security (SOUPS) 2021", "lecturer": [ 1881 ], "open_access": "yes", "pages": "4", "pages_from": "1", "pages_to": "4", "publisher": "USENIX Conference Proceedings", "research_areas": [ "VR" ], "keywords": [ "robotics", "security", "Virtual Reality", "ROS" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 670, "image_height": 699, "name": "Mortezapoor2021ssc-image.png", "type": "image/png", "size": 653220, "path": "Publication:Mortezapoor2021ssc", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/Mortezapoor2021ssc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/Mortezapoor2021ssc-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Mortezapoor2021ssc-paper.pdf", "type": "application/pdf", "size": 1932989, "path": "Publication:Mortezapoor2021ssc", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/Mortezapoor2021ssc-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/Mortezapoor2021ssc-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/", "__class": "Publication" }, { "id": "Heinzl2021", "type_id": "habilthesis", "tu_id": null, "repositum_id": null, "title": "Visualization and Analysis of X-ray Computed Tomography Data", "date": "2021-07-16", "abstract": "Visualization and analysis of primary and secondary X-ray computed tomography (XCT) data has become highly attractive for boosting research endeavors in the materials science domain. On the one hand, XCT allows to generate detailed and cumulative data of the specimens under investigation\nin a non-destructive way. On the other hand, through the conception, the development, and the implementation of novel, tailored analysis and visualization techniques, in-depth investigations of complex material systems turned into reality, e.g., in the form of interactive visualization of\nspatial and quantitative data, uncertainty quantification and visualization, comparative visualization, ensemble analysis and visualization, visual parameter space analysis, and many others.\nVisual analysis of XCT data enables a detailed understanding of the internal structures and the characteristics of materials and thus facilitates studies on a multitude of phenomena, at multiple scales, in different dimensions, or even using different modalities. This was simply impossible\nbefore. This habilitation thesis presents contributions to computer science in terms of novel methodsand techniques as well as respective algorithms and data structures, which are advancing visual analysis and visualization for enabling insights into XCT data on material systems. The introduced\nmethods and techniques focus on three distinct technical areas of visual analysis and visualization of XCT data. For each area, the problem statements, important research questions to be solved as well as the contributions of the habilitation candidate are discussed:\n1. Interactive visualization of spatial and quantitative data: Visualization and analysis techniques are introduced in this thesis for exploring, encoding, connecting, abstracting\nelaborating, reconfiguring, filtering, and finally selecting in \"rich\" XCT data. To reveal insights into complex objects, MObjects (i.e., mean objects) is discussed as a novel aggregation and exploration technique, which computes average volumetric representations from selections of individual objects of interest. To analyze various of these mean objects and to compare them with regards to their individual characteristics, visual analysis techniques as presented in FiberScout facilitate a detailed exploration of primary spatial data together with derived quantitative data (i.e., secondary data).\n2. Visual parameter space analysis (vPSA): The contributions towards vPSA focus on concepts for exploring and analyzing the space of possible parameter combinations of algorithms, models, and data processing pipelines as well as their effects on the ensemble of results. The presented methods and techniques visually guide users in finding adequate\ninput parameter sets, leading to optimal output results. In particular, the vPSA of segmentation and reconstruction algorithms is investigated. Similarity Metrics are introduced for comparing features as well as their characteristics.\n3. Comparative visualization and ensemble analysis: The comparison of larger sets of ensemble members as generated by vPSA is difficult, tedious, and error-prone, which is often\nexacerbated by subtle differences in the individual members. Here, techniques are presented to study the differences between multiple results regarding their visual representation as well as their characteristics. Dynamic Volume Lines is a novel technique for the visual analysis and comparison of large sets of 3D volumes using linearization methods combined with interactive data exploration. This technique is accompanied by a comparative visualization in the spatial domain to establish a link between the abstracted data and real world representations.\nFinally, in terms of visualization theory and modeling, this thesis abstracts the characteristics of visual parameter space analysis in a holistic conceptual framework. It also classifies and frames the novel area of visual computing in materials science, identifying research gaps within this\ndomain.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 472, "image_height": 326, "name": "Heinzl2021-image.JPG", "type": "image/jpeg", "size": 32717, "path": "Publication:Heinzl2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/Heinzl2021-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/Heinzl2021-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 611 ], "date_end": "2021-07-16", "date_start": "2010-01-01", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "HABILITATION THESIS", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Heinzl2021-HABILITATION THESIS.pdf", "type": "application/pdf", "size": 26448758, "path": "Publication:Heinzl2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/Heinzl2021-HABILITATION THESIS.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/Heinzl2021-HABILITATION THESIS:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 472, "image_height": 326, "name": "Heinzl2021-image.JPG", "type": "image/jpeg", "size": 32717, "path": "Publication:Heinzl2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/Heinzl2021-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/Heinzl2021-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/", "__class": "Publication" }, { "id": "kerbl_2021_hdg", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Providing Highly Detailed Geometry for Cloud and Edge Real-Time Rendering", "date": "2021-07-07", "abstract": "Mesh shading was recently introduced as a topical GPU feature in the NVIDIA Turing and AMD RDNA2 GPU architectures, offering an alternative pathway for executing the transformation, generation and augmentation of geometry for hardware rasterization. Future trends in game development will rely on mesh shading and “meshlets”, using highly detailed meshes with deep level of detail hierarchies. Particularly powerful applications of meshlets include arbtirary culling and subdivision methods. Furthermore, advanced pre-computation include visibility and lighting information that can be stored on a per-meshlet basis, thus promoting the compression of attributes through quantization and the acceleration of computations via hierarchical processing.\n\nAlthough meshlets can be comprised from arbitrary assemblages of primitives, their benefits are highest when meshlet formation is done in a way that already takes the usecase into account. Individual formation procedures can be defined in order to achieve specific goals. As an example, we may generate meshlets that are optimized for global illumination techniques, by minimizing their curvature and variance in material coefficients. Incoming light can then be ray-traced and cached per meshlet, along with view-dependent variance encoded in a discretized data structure. More uniform meshlets thus require less data transferred for accurately approximating their global illumination, reducing the consumption of critical memory bandwidth. We may also partition entire scenes into meshlets that foster fast visibility culling for large groups of primitives, without transforming even a single vertex. In fact, meshlet formation policies can leverage arbitrary attributes, such as the distribution of UV coordinates, ambient occlusion or mesh topology in order to optimize them according to desired runtime criteria. Cloud gaming offers a unique opportunity for leveraging this technology at a larger scale: dedicated data storages and servers can maintain multiple copies of complex triangle meshes, each partitioned by a particular meshlet formation policy. A live monitor can react to a specific bottleneck by dynamically switching meshlets to best accommodate the current GPU resource requirements. In this talk, we will present the various possibilities for real-time rendering to benefit from mesh shading by means of optimized meshlet formation procedures.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1037, "image_height": 985, "name": "kerbl_2021_hdg-teaser.png", "type": "image/png", "size": 330411, "path": "Publication:kerbl_2021_hdg", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kerbl_2021_hdg/kerbl_2021_hdg-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kerbl_2021_hdg/kerbl_2021_hdg-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1650 ], "event": "InnovWave 2021", "location": "online", "open_access": "no", "research_areas": [ "Rendering" ], "keywords": [ "cloud", "real-time", "rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1037, "image_height": 985, "name": "kerbl_2021_hdg-teaser.png", "type": "image/png", "size": 330411, "path": "Publication:kerbl_2021_hdg", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kerbl_2021_hdg/kerbl_2021_hdg-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kerbl_2021_hdg/kerbl_2021_hdg-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kerbl_2021_hdg/", "__class": "Publication" }, { "id": "SCHUETZ-2021-PCC", "type_id": "journalpaper", "tu_id": 300515, "repositum_id": "20.500.12708/58641", "title": "Rendering Point Clouds with Compute Shaders and Vertex Order Optimization", "date": "2021-07-01", "abstract": "While commodity GPUs provide a continuously growing range of features and sophisticated methods for accelerating compute jobs, many state-of-the-art solutions for point cloud rendering still rely on the provided point primitives (GL_POINTS, POINTLIST, ...) of graphics APIs for image synthesis. In this paper, we present several compute-based point cloud rendering approaches that outperform the hardware pipeline by up to an order of magnitude and achieve significantly better frame times than previous compute-based methods. Beyond basic closest-point rendering, we also introduce a fast, high-quality variant to reduce aliasing. We present and evaluate several variants of our proposed methods with different flavors of optimization, in order to ensure their applicability and achieve optimal performance on a range of platforms and architectures with varying support for novel GPU hardware features. During our experiments, the observed peak performance was reached rendering 796 million points (12.7GB) at rates of 62 to 64 frames per second (50 billion points per second, 802GB/s) on an RTX 3090 without the use of level-of-detail structures.\n\nWe further introduce an optimized vertex order for point clouds to boost the efficiency of GL_POINTS by a factor of 5x in cases where hardware rendering is compulsory. We compare different orderings and show that Morton sorted buffers are faster for some viewpoints, while shuffled vertex buffers are faster in others. In contrast, combining both approaches by first sorting according to Morton-code and shuffling the resulting sequence in batches of 128 points leads to a vertex buffer layout with high rendering performance and low sensitivity to viewpoint changes. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "fragcount", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1299, "image_height": 985, "name": "SCHUETZ-2021-PCC-fragcount.jpg", "type": "image/jpeg", "size": 836239, "path": "Publication:SCHUETZ-2021-PCC", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-fragcount.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-fragcount:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1116, 1650, 193 ], "booktitle": "techreport", "cfp": { "name": "call-for-papers.pdf", "type": "application/pdf", "error": "0", "size": "6107441", "orig_name": "call-for-papers.pdf", "ext": "pdf" }, "date_from": "2021-06-29", "date_to": "2021-07-02", "doi": "10.1111/cgf.14345", "event": "Eurographics Symposium on Rendering 2021 (EGSR '21)", "first_published": "2021-07", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1116 ], "location": "online", "number": "4", "open_access": "yes", "pages": "12", "pages_from": "115", "pages_to": "126", "publisher": "Eurographics Association", "volume": "40", "research_areas": [ "Rendering" ], "keywords": [ "point-based rendering", "compute shader", "real-time rendering" ], "weblinks": [ { "href": "https://github.com/m-schuetz/compute_rasterizer", "caption": "Source Code", "description": null, "main_file": 0 } ], "files": [ { "description": "appendix", "filetitle": "appendix", "main_file": false, "use_in_gallery": false, "access": "public", "name": "SCHUETZ-2021-PCC-appendix.pdf", "type": "application/pdf", "size": 5715741, "path": "Publication:SCHUETZ-2021-PCC", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-appendix.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-appendix:thumb{{size}}.png" }, { "description": null, "filetitle": "fragcount", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1299, "image_height": 985, "name": "SCHUETZ-2021-PCC-fragcount.jpg", "type": "image/jpeg", "size": 836239, "path": "Publication:SCHUETZ-2021-PCC", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-fragcount.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-fragcount:thumb{{size}}.png" }, { "description": "paper", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "SCHUETZ-2021-PCC-paper.pdf", "type": "application/pdf", "size": 4255515, "path": "Publication:SCHUETZ-2021-PCC", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2000, "image_height": 625, "name": "SCHUETZ-2021-PCC-teaser.jpg", "type": "image/jpeg", "size": 722844, "path": "Publication:SCHUETZ-2021-PCC", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "d4386", "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/", "__class": "Publication" }, { "id": "roth_2021_vdst", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "View-Dependent Surrogate Terminals for Procedural Geometry Generation", "date": "2021-07", "abstract": "Procedural geometry generation plays an ever-increasing role in the movie- and video\ngaming industry. Shape grammars have established themselves as the preferred solution\nfor procedural architecture generation. Research in past decades drastically improved the\nspeed of geometry derivation through shape grammars, making it possible to generate\n3D buildings on-demand and in real-time. However, the constantly rising demand for\nhigh-quality visualizations requires new measures to reduce complexity in 3D models\ngenerated by shape grammars without sacrificing visual quality. This thesis explores\nthe feasibility and benefits of inserting view-dependent surrogate terminals into a shape\ngrammar. Surrogate terminals end grammar derivation early and approximate finer\ndetails with pre-rendered images. We find a possible solution for implementing view-dependent\nsurrogate terminals and describe a scheme to automatically insert them into a\nshape grammar. Results show that contrary to previous approaches, our method avoids\nthe generation of visibly incomplete geometry. However, even though the modified shape\ngrammars evaluate faster than the original in large scenes, previous methods provide a\nmore significant performance gain. We conclude that view-dependent surrogate terminals\nprovide promising results, but further optimization is necessary to match the performance\nof prior techniques.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1920, "image_height": 1920, "name": "roth_2021_vdst-teaser.png", "type": "image/png", "size": 6785839, "path": "Publication:roth_2021_vdst", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/roth_2021_vdst-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/roth_2021_vdst-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1847 ], "date_end": "2021-07", "date_start": "2020-08", "matrikelnr": "01633060", "supervisor": [ 1558 ], "research_areas": [ "Rendering" ], "keywords": [ "procedural geometry", "real-time", "rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1920, "image_height": 1920, "name": "roth_2021_vdst-teaser.png", "type": "image/png", "size": 6785839, "path": "Publication:roth_2021_vdst", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/roth_2021_vdst-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/roth_2021_vdst-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "roth_2021_vdst-Thesis.pdf", "type": "application/pdf", "size": 31209353, "path": "Publication:roth_2021_vdst", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/roth_2021_vdst-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/roth_2021_vdst-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/", "__class": "Publication" }, { "id": "Diehl_2021", "type_id": "journalpaper_notalk", "tu_id": 300516, "repositum_id": "20.500.12708/138614", "title": "Hornero: Thunderstorms Characterization using Visual Analytics", "date": "2021-06-29", "abstract": "Analyzing the evolution of thunderstorms is critical in determining the potential for the development of severe weather events. Existing visualization systems for short-term weather forecasting (nowcasting) allow for basic analysis and prediction of storm developments. However, they lack advanced visual features for efficient decision-making. We developed a visual analytics tool for the detection of hazardous thunderstorms and their characterization, using a visual design centered on a reformulated expert task workflow that includes visual features to overview storms and quickly identify high-impact weather events, a novel storm graph visualization to inspect and analyze the storm structure, as well as a set of interactive views for efficient identification of similar storm cells (known as analogs) in historical data and their use for nowcasting. Our tool was designed with and evaluated by meteorologists and expert forecasters working in short-term operational weather forecasting of severe weather events. Results show that our solution suits the forecasters' workflow. Our visual design is expressive, easy to use, and effective for prompt analysis and quick decision-making in the context of short-range operational weather forecasting.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 780, "image_height": 304, "name": "Diehl_2021-Image.JPG", "type": "image/jpeg", "size": 48560, "path": "Publication:Diehl_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/Diehl_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/Diehl_2021-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1121, 5275, 1529, 1184, 166, 161 ], "doi": "10.1111/cgf.14308", "first_published": "2021-06-29", "journal": "Computer Graphics Forum", "number": "3", "open_access": "yes", "pages_from": "1", "pages_to": "12", "volume": "40", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 780, "image_height": 304, "name": "Diehl_2021-Image.JPG", "type": "image/jpeg", "size": 48560, "path": "Publication:Diehl_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/Diehl_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/Diehl_2021-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Diehl_2021-Paper.pdf", "type": "application/pdf", "size": 54133751, "path": "Publication:Diehl_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/Diehl_2021-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/Diehl_2021-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/", "__class": "Publication" }, { "id": "musleh_maath-2021-mam2", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Visual Analysis of Industrial Multivariate Time-Series Data: Effective Solution to Maximise Insights from Blow Moulding Machine Sensory Data", "date": "2021-06-21", "abstract": "Developments in the field of data analytics provides a boost for small-sized factories. These factories are eager to take full advantage of the potential insights in the remotely collected data to minimise cost and maximise quality and profit. This project aims to process, cluster and visualise sensory data of a blow moulding machine in a plastic production factory. In collaboration with Lean Automation, we aim to develop a data visualisation solution to enable decision-makers in a plastic factory to improve their production process. We will investigate three different aspects of the solution: methods for processing multivariate time-series data, clustering approaches for the sensory-data cultivated, and visualisation techniques that maximises production process insights. We use a formative evaluation method to develop a solution that meets partners' requirements and best practices within the field. Through building the MTSI dashboard tool, we hope to answer questions on optimal techniques to represent, cluster and visualise multivariate time series data. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "GUI interaction snaps", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 861, "image_height": 597, "name": "musleh_maath-2021-mam2-image.png", "type": "image/png", "size": 243258, "path": "Publication:musleh_maath-2021-mam2", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath-2021-mam2/musleh_maath-2021-mam2-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath-2021-mam2/musleh_maath-2021-mam2-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1867 ], "date_end": "2021-06", "date_start": "2021-01", "diploma_examina": "2021-06-21", "matrikelnr": "19860127-T631", "open_access": "yes", "research_areas": [ "InfoVis" ], "keywords": [ "multivariate time-series", "visual analytics", "automated factories" ], "weblinks": [ { "href": "https://lnu.diva-portal.org/smash/get/diva2:1570718/FULLTEXT01.pdf", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "GUI interaction snaps", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 861, "image_height": 597, "name": "musleh_maath-2021-mam2-image.png", "type": "image/png", "size": 243258, "path": "Publication:musleh_maath-2021-mam2", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath-2021-mam2/musleh_maath-2021-mam2-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath-2021-mam2/musleh_maath-2021-mam2-image:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath-2021-mam2/", "__class": "Publication" }, { "id": "Troidl_2021", "type_id": "masterthesis", "tu_id": 300521, "repositum_id": "20.500.12708/18083", "title": "Spatial Neighborhood Analysis and Comparison for Nanoscale Brain Structures", "date": "2021-06-04", "abstract": "Recent high-resolution electron microscopy imaging allows neuroscientists to reconstruct not just entire cells but individual cell substructures (i.e., cell organelles) as well. Based on these data, scientists hope to get a better understanding of brain function and development through detailed analysis of local organelle neighborhoods. However, in-depth analyses require efficient and scalable comparison of a varying number of cell organelles, ranging from two to hundreds of local spatial neighborhoods. Scientists need to be able to analyze the 3D morphologies of organelles, their spatial distributions and\ndistances, and their spatial correlations. This thesis’s central premise is that it is hard to provide a one-size-fits-all comparative visualization solution to support the given broad range of tasks and scales.\nTo address this challenge, we have designed NeuroKit as an easily configurable toolkit that allows scientists to customize the tool’s workflow, visualizations, and supported user interactions to their specific tasks and domain questions. Furthermore, NeuroKit provides a scalable comparative visualization approach for spatial neighborhood analysis of nanoscale brain structures.\nNeuroKit supports small multiples of spatial 3D renderings as well as abstract quantitative visualizations, and arranges them in linked and juxtaposed views. To adapt to new domain-specific analysis scenarios, we allow the definition of individualized visualizations and their parameters for each analysis session. This configurability is tied in with a novel scalable visual comparison approach that automatically adjusts visualizations based on the number of structures that are being compared. We demonstrate an in-depth use case for mitochondria analysis in neuronal tissue and analyze the usefulness of NeuroKit in a qualitative user study with neuroscientists.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2409, "image_height": 1405, "name": "Troidl_2021-image.png", "type": "image/png", "size": 388000, "path": "Publication:Troidl_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1659 ], "date_end": "2021-06-04", "date_start": "2020-07-01", "diploma_examina": "2021-06-04", "doi": "10.34726/hss.2021.73868", "matrikelnr": "01525071", "open_access": "yes", "pages": "98", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [ "Comparative Visualization", "Computational Neuroscience" ], "weblinks": [ { "href": "https://www.youtube.com/watch?v=cKvuucM3Uoc", "caption": "Video", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2409, "image_height": 1405, "name": "Troidl_2021-image.png", "type": "image/png", "size": 388000, "path": "Publication:Troidl_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Troidl_2021-Master Thesis.pdf", "type": "application/pdf", "size": 23037648, "path": "Publication:Troidl_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Troidl_2021-Poster.pdf", "type": "application/pdf", "size": 5587850, "path": "Publication:Troidl_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/", "__class": "Publication" }, { "id": "pichler_2022_fro", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Frontend for a photogrammetry webservice", "date": "2021-06", "abstract": "Subject of this student project is the frontend for a photogrammetry webservice. It consists of an upload page, an editor and the typical bookkeeping of a website.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Point cloud editor", "filetitle": "point_cloud_editor", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 914, "name": "pichler_2022_fro-point_cloud_editor.jpeg", "type": "image/jpeg", "size": 396812, "path": "Publication:pichler_2022_fro", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pichler_2022_fro/pichler_2022_fro-point_cloud_editor.jpeg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pichler_2022_fro/pichler_2022_fro-point_cloud_editor:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1940 ], "date_end": "2022-06", "date_start": "2021-06", "matrikelnr": "11933235", "supervisor": [ 1395 ], "research_areas": [ "Geometry", "Rendering" ], "keywords": [ "Frontend", "Editor", "Photogrammetry" ], "weblinks": [ { "href": "https://netidee.cg.tuwien.ac.at/", "caption": "Pix2Model Live-System", "description": null, "main_file": 1 }, { "href": "https://github.com/ErlerPhilipp/Pix2Model", "caption": "Pix2Model Repo", "description": null, "main_file": 1 } ], "files": { "1": { "description": "100 photos of crocheted elephants (test data)", "filetitle": "elephants", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": null, "preview_image_height": null, "name": "pichler_2022_fro-elephants.zip", "type": "application/x-zip-compressed", "size": 184116949, "path": "Publication:pichler_2022_fro", "preview_name": "pichler_2022_fro-elephants:preview.jpg", "preview_type": "image/jpeg", "preview_size": 2007553, "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pichler_2022_fro/pichler_2022_fro-elephants.zip", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": 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"Publication:pichler_2022_fro", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pichler_2022_fro/pichler_2022_fro-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pichler_2022_fro/pichler_2022_fro-report:thumb{{size}}.png" } }, "projects_workgroups": [ "rend", "d4388" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pichler_2022_fro/", "__class": "Publication" }, { "id": "Groeller_2021_BVM", "type_id": "WorkshopTalk", "tu_id": 300522, "repositum_id": "20.500.12708/87250", "title": "How to do a Successful PhD (in Visual Computing)", "date": "2021-05-20", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 945, "image_height": 623, "name": "Groeller_2021_BVM-Image.GIF", "type": "image/gif", "size": 280342, "path": 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"https://www.cg.tuwien.ac.at/research/publications/2021/Groeller_2021_BVM/Groeller_2021_BVM-Presentation:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Groeller_2021_BVM/", "__class": "Publication" }, { "id": "scholz_2021", "type_id": "masterthesis", "tu_id": 300523, "repositum_id": "20.500.12708/17807", "title": "A Modular Domain-Specific Language for Interactive 3D Visualization ", "date": "2021-05-10", "abstract": "Visualizing data is an integral part of many scientific disciplines. Due to the complexity of 3D visualizations, their creation usually requires visualization experts. This thesis proposes a system for specifying visualizations without requiring in-depth knowledge about computer graphics. Instead, visualizations are defined in a domain-specific language. This language enables users to easily create and edit 3D visualizations on their own. The language provides configuration capabilities for all aspects of the visualization pipeline, ranging from data transformation up to rendering. Configuring the visualization pipeline is facilitated through a versatile extension mechanism, allowing the definition of modules. Pre-defined modules provide a wide range of 3D visualization techniques, such as volumes or point clouds. Additionally, users can create new modules to support other visualization techniques. Our visualization description is a declarative language specified in a human-readable text format. Due to this format, visualizations created with our language are simple to store and share. Using a text-based format is a natural method for communicating information over the web. Hence, it makes our visualization description easily transferable. Interactivity is another crucial aspect of 3D visualization that our language supports. User events emit messages that the visualization can then use to modify itself. The message system also makes it possible to visualize dynamic data. Modifications of the visualizations pass through our system to automatically analyze the changes. Then just the needed subset of rendering calls to achieve the change execute. With this approach, GPU resources like shaders, buffers, and textures only update when required. This strategy enhances rendering performance and hides implementation detail from the user making the system easier approachable. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 3840, "image_height": 2160, "name": "scholz_2021-image.png", "type": "image/png", "size": 1337287, "path": "Publication:scholz_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1616 ], "co_supervisor": [ 1387 ], "date_end": "2021-05-10", "date_start": "2020-07-10", "diploma_examina": "2021-05-10", "doi": "10.34726/hss.2021.80484", "matrikelnr": "01527434", "open_access": "yes", "pages": "104", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [ "DSL", "visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 3840, "image_height": 2160, "name": "scholz_2021-image.png", "type": "image/png", "size": 1337287, "path": "Publication:scholz_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "scholz_2021-Master Thesis.pdf", "type": "application/pdf", "size": 10756705, "path": "Publication:scholz_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "scholz_2021-Poster.pdf", "type": "application/pdf", "size": 5250569, "path": "Publication:scholz_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/", "__class": "Publication" }, { "id": "Mazza_2021_05", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/17606", "title": "Homomorphic-Encrypted Volume Rendering", "date": "2021-05-07", "abstract": "Computationally demanding tasks are typically calculated in dedicated data centers, and real-time visualizations also follow this trend. Some rendering tasks, however, require the highest level of confidentiality so that no other party, besides the owner, can read or see the sensitive data. Here we present a direct volume rendering approach that performs volume rendering directly on encrypted volume data by using the homomorphic Paillier encryption algorithm. This approach ensures that the volume data and rendered image are uninterpretable to the rendering server. Our volume rendering pipeline introduces novel approaches for encrypted-data compositing, interpolation, and opacity modulation, as well as simple transfer function design, where each of these routines maintains the highest level of privacy. We present performance and memory overhead analysis that is associated with our privacy-preserving scheme. Our approach is open and secure by design, as opposed to secure through obscurity. Owners of the data only have to keep their secure key confidential to guarantee the privacy of their volume data and the rendered images. Our work is, to our knowledge, the first privacy-preserving remote volume-rendering approach that does not require that any server involved be trustworthy; even in cases when the server is compromised, no sensitive data will be leaked to a foreign party. Furthermore, we developed a big-integer (multiple-precision, or multiple word integer) library for Vulkan graphics pipeline. It facilitates the rendering of securely encrypted data on the GPU. It supports the calculation of common mathematical operations like addition, subtraction, multiplication, division. Moreover, it supports specialized operations for asymmetric cryptography like modular exponentiation with Montgomery reduction. We also introduce a testing framework for Vulkan that allows the automated testing of big-integer computations on the GPU.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 395, "image_height": 335, "name": "Mazza_2021_05-Image.JPG", "type": "image/jpeg", "size": 19131, "path": "Publication:Mazza_2021_05", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mazza_2021_05/Mazza_2021_05-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mazza_2021_05/Mazza_2021_05-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1035 ], "date_end": "2021-05-07", "date_start": "2020-07-10", "diploma_examina": "2021-05-07", "doi": "10.34726/hss.2021.81045", "matrikelnr": "00825828", "open_access": "yes", "pages": "109", "supervisor": [ 171 ], "research_areas": [ "Rendering" ], "keywords": [ "Volume Rendering", "Transfer Function", "Homomorphic-Encryption", "Paillier", "Big-Integer", "GPU" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 395, "image_height": 335, "name": "Mazza_2021_05-Image.JPG", "type": "image/jpeg", "size": 19131, "path": "Publication:Mazza_2021_05", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mazza_2021_05/Mazza_2021_05-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mazza_2021_05/Mazza_2021_05-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Mazza_2021_05-Master Thesis.pdf", "type": "application/pdf", "size": 5437020, "path": "Publication:Mazza_2021_05", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mazza_2021_05/Mazza_2021_05-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mazza_2021_05/Mazza_2021_05-Master Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mazza_2021_05/", "__class": "Publication" }, { "id": "kenzel_michael_2021_cuda", "type_id": "otherreviewed", "tu_id": 301615, "repositum_id": "20.500.12708/55659", "title": "CUDA and Applications to Task-based Programming", "date": "2021-05", "abstract": "To provide a profound understanding of how CUDA applications can achieve peak performance, the first two parts of this tutorial outline the modern CUDA architecture. Following a basic introduction, we expose how language features are linked to---and constrained by---the underlying physical hardware components. Furthermore, we describe common applications for massively parallel programming, offer a detailed breakdown of potential issues, and list ways to mitigate performance impacts. An exemplary analysis of PTX and SASS snippets illustrates how code patterns in CUDA are mapped to actual hardware instructions.\n\nIn parts 3 and 4, we focus on novel features that were enabled by the arrival of CUDA 10+ toolkits and the Volta+ architectures, such as ITS, tensor cores, and the graph API. In addition to basic use case demonstrations, we outline our own experiences with these capabilities and their potential performance benefits. We also discuss how long-standing best practices are affected by these changes and describe common caveats for dealing with legacy code on recent GPU models. We show how these considerations can be implemented in practice by presenting state-of-the-art research into task-based GPU scheduling, and how the dynamic adjustment of thread roles and group configurations can significantly increase performance.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1800, "image_height": 1151, "name": "kenzel_michael_2021_cuda-teaser.png", "type": "image/png", "size": 718260, "path": "Publication:kenzel_michael_2021_cuda", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kenzel_michael_2021_cuda/kenzel_michael_2021_cuda-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kenzel_michael_2021_cuda/kenzel_michael_2021_cuda-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1661, 1650, 1834, 1662 ], "booktitle": "Eurographics 2021 - Tutorials", "doi": "10.2312/egt.20211037", "editor": "Carol O'Sullivan and Dieter Schmalstieg", "location": "Vienna", "open_access": "yes", "pages": "5", "pages_from": "1", "pages_to": "5", "publisher": "The Eurographics Association", "research_areas": [], "keywords": [ "Parallel Programming", "GPU" ], "weblinks": [ { "href": "https://cuda-tutorial.github.io/index.html", "caption": "Tutorial Homepage", "description": "Course notes and code samples for the tutorial", "main_file": 0 }, { "href": "https://diglib.eg.org:443/handle/10.2312/egt20211037", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1800, "image_height": 1151, "name": "kenzel_michael_2021_cuda-teaser.png", "type": "image/png", "size": 718260, "path": "Publication:kenzel_michael_2021_cuda", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kenzel_michael_2021_cuda/kenzel_michael_2021_cuda-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kenzel_michael_2021_cuda/kenzel_michael_2021_cuda-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kenzel_michael_2021_cuda/", "__class": "Publication" }, { "id": "mahler-2021-mdar", "type_id": "masterthesis", "tu_id": 300525, "repositum_id": "20.500.12708/17526", "title": "A Study of Multi-Document Active Reading in Analog and Digital Environments", "date": "2021-05", "abstract": "Despite the many improvements in the digital domain, knowledge workers still frequently switch between digital and analog materials and tools during their work. In doing so, they accept \"switching costs\" (such as time and resources) to perform active reading and related activities in their preferred (analog) environment. Previous studies show that active reading is more efficient using analog materials and tools than using digital ones. However, up to now, it is not fully understood what exactly leads to the superiority of analog active reading over digital active reading. The goal of this thesis is to directly compare the behaviors and strategies employed by users during active reading of multiple documents in analog and digital environments. This comparison serves to gain more detailed insights into which (sub-)areas of active reading (annotating, highlighting, note-taking, and spatial organization) are different in the two environments, what might be possible reasons for these differences, and most importantly, how to improve the experience of digital active reading in the future. As part of the comparison, it is also possible to determine whether analog active reading is still more efficient than digital active reading when using a large screen that provides a similar amount of space as an analog workstation. Thus, in a qualitative, controlled, partly confirmatory, partly exploratory, user study, users' behaviors and strategies during active reading of multiple documents in analog and digital environments are compared to investigate the previously mentioned aspects. The results show that analog active reading is still more efficient than digital active reading despite the use of a large screen. Additionally, the evaluation was able to identify differences in behaviors and adaptations of strategies used due to the accessibility and availability of tools. In particular, there is still considerable potential for improvement in the area of spatial organization during digital active reading.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1696 ], "date_end": "2021-05", "date_start": "2019", "diploma_examina": "2021-05-12", "doi": "10.34726/hss.2021.70704", "matrikelnr": "01325188", "open_access": "yes", "pages": "111", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [ "visual thinking", "active reading", "digital sensemaking", "information foraging theory", "knowledge workers", "user study" ], "weblinks": [], "files": [ { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mahler-2021-mdar-poster.pdf", "type": "application/pdf", "size": 283699, "path": "Publication:mahler-2021-mdar", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/mahler-2021-mdar/mahler-2021-mdar-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/mahler-2021-mdar/mahler-2021-mdar-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mahler-2021-mdar-thesis.pdf", "type": "application/pdf", "size": 4721993, "path": "Publication:mahler-2021-mdar", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/mahler-2021-mdar/mahler-2021-mdar-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/mahler-2021-mdar/mahler-2021-mdar-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/mahler-2021-mdar/", "__class": "Publication" }, { "id": "KOCH-2021-GVS", "type_id": "journalpaper", "tu_id": 300527, "repositum_id": "20.500.12708/58642", "title": "Guided Visibility Sampling++", "date": "2021-04-20", "abstract": "Visibility computation is a common problem in the field of computer graphics. Examples include occlusion culling, where parts of the scene are culled away, or global illumination simulations, which are based on the mutual visibility of pairs of points to calculate lighting. In this paper, an aggressive from-region visibility technique called Guided Visibility Sampling++ (GVS++) is presented. The proposed technique improves the Guided Visibility Sampling algorithm through improved sampling strategies, thus achieving low error rates on various scenes, and being over four orders of magnitude faster than the original CPU-based Guided Visibility Sampling implementation. We present sampling strategies that adaptively compute sample locations and use ray casting to determine a set of triangles visible from a flat or volumetric rectangular region in space. This set is called a potentially visible set (PVS). Based on initial random sampling, subsequent exploration phases progressively grow an intermediate solution. A termination criterion is used to terminate the PVS search. A modern implementation using the Vulkan graphics API and RTX ray tracing is discussed. Furthermore, we show optimizations that allow for an implementation that is over 20 times faster than a naive implementation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2553, "image_height": 1495, "name": "KOCH-2021-GVS-image.jpg", "type": "image/jpeg", "size": 860042, "path": "Publication:KOCH-2021-GVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVS/KOCH-2021-GVS-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVS/KOCH-2021-GVS-image:thumb{{size}}.png" }, "sync_repositum_override": "pages_to,pages_from", "repositum_presentation_id": null, "authors": [ 1604, 193 ], "cfp": { "name": "cfp-I3D 2021.pdf", "type": "application/pdf", "error": "0", "size": "1244094", "orig_name": "cfp-I3D 2021.pdf", "ext": "pdf" }, "date_from": "2021-04-20", "date_to": "2021-04-22", "doi": "10.1145/3451266", "event": "ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games", "issn": "2577-6193", "journal": "Proceedings of the ACM on Computer Graphics and Interactive Techniques", "lecturer": [ 1604 ], "location": "online", "number": "1", "open_access": "no", "pages": "16", "pages_from": "4:1", "pages_to": "4:16", "volume": "4", "research_areas": [ "Rendering" ], "keywords": [ "visibility culling", "real-time rendering", "ray tracing" ], "weblinks": [ { "href": "https://github.com/einthomas/GVSPP", "caption": "Github repo", "description": "Full source code", "main_file": 0 } ], "files": [ { "description": null, "filetitle": "author version", "main_file": true, "use_in_gallery": false, "access": "public", "name": "KOCH-2021-GVS-author version.pdf", "type": "application/pdf", "size": 4520131, "path": "Publication:KOCH-2021-GVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVS/KOCH-2021-GVS-author version.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVS/KOCH-2021-GVS-author version:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2553, "image_height": 1495, "name": "KOCH-2021-GVS-image.jpg", "type": "image/jpeg", "size": 860042, "path": "Publication:KOCH-2021-GVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVS/KOCH-2021-GVS-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVS/KOCH-2021-GVS-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVS/", "__class": "Publication" }, { "id": "koeppel-2021", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/55660", "title": "Context-Responsive Labeling in Augmented Reality", "date": "2021-04-19", "abstract": "Route planning and navigation are common tasks that often require additional information on points of interest. Augmented Reality (AR) enables mobile users to utilize text labels, in order to provide a composite view associated with additional information in a real- world environment. Nonetheless, displaying all labels for points of interest on a mobile device will lead to unwanted overlaps between information, and thus a context-responsive strategy to properly ar- range labels is expected. The technique should remove overlaps, show the right level-of-detail, and maintain label coherence. This is necessary as the viewing angle in an AR system may change rapidly due to users’ behaviors. Coherence plays an essential role in retaining user experience and knowledge, as well as avoiding motion sickness. In this paper, we develop an approach that sys- tematically manages label visibility and levels-of-detail, as well as eliminates unexpected incoherent movement. We introduce three label management strategies, including (1) occlusion management, (2) level-of-detail management, and (3) coherence management by balancing the usage of the mobile phone screen. A greedy approach is developed for fast occlusion handling in AR. A level-of-detail scheme is adopted to arrange various types of labels. A 3D scene manipulation is then built to simultaneously suppress the incoherent behaviors induced by viewing angle changes. Finally, we present the feasibility and applicability of our approach through one synthetic and two real-world scenarios, followed by a qualitative user study.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "koeppel-2021-image.png", "type": "image/png", "size": 72689, "path": "Publication:koeppel-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1367, 166, 1464 ], "booktitle": "Proceedings of the 14th IEEE Pacific Visualization Symposium ", "cfp": { "name": "PVIS 2021.pdf", "type": "application/pdf", "error": "0", "size": "1338305", "orig_name": "PVIS 2021.pdf", "ext": "pdf" }, "doi": "10.1109/pacificvis52677.2021.00020", "event": "IEEE Pacific Visualization Symposium ", "lecturer": [ 1464 ], "pages": "10", "pages_from": "1", "pages_to": "10", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "koeppel-2021-image.png", "type": "image/png", "size": 72689, "path": "Publication:koeppel-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "koeppel-2021-paper.pdf", "type": "application/pdf", "size": null, "path": "Publication:koeppel-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-paper.pdf", "thumb_image_sizes": [] }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "koeppel-2021-video.mp4", "type": "video/mp4", "size": 50783014, "path": "Publication:koeppel-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/", "__class": "Publication" }, { "id": "eibensteiner-2021-pmcg", "type_id": "masterthesis", "tu_id": 301655, "repositum_id": "20.500.12708/17307", "title": "Polyphonic music composition with grammars", "date": "2021-04-15", "abstract": "We present a theoretical framework for automatic music composition with formal grammars and a focus on polyphonic structures. In the context of this thesis, a polyphonic structure is any arrangement of musical entities (notes, chords, measures, etc.) that is not purely sequential in the time dimension. Given that the natural output of a grammar is a sequence, the generation of sequential structures, such as melodies, harmonic progressions, and rhythmic patterns, follows intuitively and has already been explored in prior works. By contrast, we associate each musical entity with an independent temporal scope, allowing the representation of both sequential and parallel arrangements. With overlapping entities we can model chords, drum patterns, and parallel voices---polyphony on small and large scales. Beyond a foundational discussion of functional techniques for polyphonic composition with non-deterministic context-free grammars, we demonstrate the implementation and practical application of an automated composition system developed on these principles.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1388, "image_height": 689, "name": "eibensteiner-2021-pmcg-teaser.png", "type": "image/png", "size": 136748, "path": "Publication:eibensteiner-2021-pmcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibensteiner-2021-pmcg/eibensteiner-2021-pmcg-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibensteiner-2021-pmcg/eibensteiner-2021-pmcg-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1362 ], "co_supervisor": [ 1303 ], "date_end": "2021-04", "date_start": "2019", "diploma_examina": "2021-05-18", "doi": "10.34726/hss.2021.90440", "matrikelnr": "01225627", "open_access": "yes", "pages": "128", "supervisor": [ 193 ], "research_areas": [ "Modeling" ], "keywords": [ "procedural", "music", "composition", "functional", "context-free", "probabilistic", "temporal", "parametric", "attribute-based", "grammars" ], "weblinks": [], "files": [ { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eibensteiner-2021-pmcg-poster.pdf", "type": "application/pdf", "size": 434212, "path": "Publication:eibensteiner-2021-pmcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibensteiner-2021-pmcg/eibensteiner-2021-pmcg-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibensteiner-2021-pmcg/eibensteiner-2021-pmcg-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1388, "image_height": 689, "name": "eibensteiner-2021-pmcg-teaser.png", "type": "image/png", "size": 136748, "path": "Publication:eibensteiner-2021-pmcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibensteiner-2021-pmcg/eibensteiner-2021-pmcg-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibensteiner-2021-pmcg/eibensteiner-2021-pmcg-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eibensteiner-2021-pmcg-thesis.pdf", "type": "application/pdf", "size": 18608916, "path": "Publication:eibensteiner-2021-pmcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibensteiner-2021-pmcg/eibensteiner-2021-pmcg-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibensteiner-2021-pmcg/eibensteiner-2021-pmcg-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibensteiner-2021-pmcg/", "__class": "Publication" }, { "id": "Sprung_2021", "type_id": "masterthesis", "tu_id": 301661, "repositum_id": "20.500.12708/17530", "title": "Mobile Collaborating Robots for Direct Haptics in Mixed Reality", "date": "2021-04-12", "abstract": "After technological advancements in computer graphics and miniaturization of electric circuits, virtual reality has finally found its way into the consumer market. Commercial VR systems like HTC ’s Vive allow their wearers to experience virtual worlds realistically enough to feel audio-visually immersed. However, when interacting with the simulated environment, the limitations of such a system become apparent quickly. They o˙er no haptic capabilities or feedback beyond what is integrated in their hand-held input devices. Additional body-worn equipment, like haptic suits or exoskeletons, deliver only rudimentary haptic experiences or encumber the user’s ease of movement with excessive weight. Haptic hardware of the ‘encounter’ type are often constrained to a specific location within the simulation area or deliver only soft touching sensations because of their highly mobile but fragile architecture. Therfore, this thesis covers the topic of creating a VR system with haptic feedback and describes its design and implementation in a room sized setup. The paper shows how a mobile manipulator, like the RB-Kairos, can be combined with a virtual reality headset, like the Vive, to deliver real world props into the hands of users to enhance their virtual experience. To track the manipulator’s position with the same accuracy of the VR headset, the Vive’s Lighthouse tracking solution is integrated into the robot. On the software side, the system takes advantage of the Robot Operating System (ROS), which is already configured to control the robot’s basic functionality and is extended to include new modules handling the deliverance of haptic sensations. The simulation of the visual part of this project is handled by the gaming engine Unity, which features a variety of plugins suitable to create basic VR applications with minimal e˙ort. The communication between VR application, RB-Kairos and user is handled wirelessly via radio signals which allows unrestricted mobility for participants and robots within the simulation area. The subsequent technical evaluation o˙ers insights to operating parameters and lists potential enhancement and upgrade possibilities.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 259, "image_height": 253, "name": "Sprung_2021-Image.JPG", "type": "image/jpeg", "size": 19711, "path": "Publication:Sprung_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sprung_2021/Sprung_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sprung_2021/Sprung_2021-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1866 ], "date_end": "2011-02-10", "date_start": "2012-04-12", "diploma_examina": "2012-04-12", "doi": "10.34726/hss.2021.62304", "matrikelnr": "00725956", "open_access": "yes", "pages": "111", "supervisor": [ 378 ], "research_areas": [ "VR" ], "keywords": [ "virtual reality", "haptics", "collaborate", "robot", "rb-kairos", "ur-10", "vive", "robot operating system", "ros", "steamvr" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 259, "image_height": 253, "name": "Sprung_2021-Image.JPG", "type": "image/jpeg", "size": 19711, "path": "Publication:Sprung_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sprung_2021/Sprung_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sprung_2021/Sprung_2021-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Sprung_2021-Master Thesis.pdf", "type": "application/pdf", "size": 18428267, "path": "Publication:Sprung_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sprung_2021/Sprung_2021-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sprung_2021/Sprung_2021-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Sprung_2021-Poster.pdf", "type": "application/pdf", "size": 2538198, "path": "Publication:Sprung_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sprung_2021/Sprung_2021-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sprung_2021/Sprung_2021-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vr" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sprung_2021/", "__class": "Publication" }, { "id": "korpitsch-2021-lov", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "LSOVOMAN - Large-Scale Online Visualization of Austria's Media- Advertisement Networks", "date": "2021-04-07", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3775, "image_height": 1960, "name": "korpitsch-2021-lov-screenshot.JPG", "type": "image/jpeg", "size": 265358, "path": "Publication:korpitsch-2021-lov", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/korpitsch-2021-lov/korpitsch-2021-lov-screenshot.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/korpitsch-2021-lov/korpitsch-2021-lov-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1697 ], "date_end": "2021-04", "date_start": "2020-10", "matrikelnr": "01529243", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [ "bipartite graphs", "large networks", "web-based visualization", "media transparency" ], "weblinks": [ { "href": "https://gitlab.cg.tuwien.ac.at/tkorpitsch/lsovaman", "caption": "Gitlab", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Documentation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "korpitsch-2021-lov-Documentation.pdf", "type": "application/pdf", "size": 141424, "path": "Publication:korpitsch-2021-lov", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/korpitsch-2021-lov/korpitsch-2021-lov-Documentation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/korpitsch-2021-lov/korpitsch-2021-lov-Documentation:thumb{{size}}.png" }, { "description": null, "filetitle": "Report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "korpitsch-2021-lov-Report.pdf", "type": "application/pdf", "size": 36864, "path": "Publication:korpitsch-2021-lov", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/korpitsch-2021-lov/korpitsch-2021-lov-Report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/korpitsch-2021-lov/korpitsch-2021-lov-Report:thumb{{size}}.png" }, { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3775, "image_height": 1960, "name": "korpitsch-2021-lov-screenshot.JPG", "type": "image/jpeg", "size": 265358, "path": "Publication:korpitsch-2021-lov", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/korpitsch-2021-lov/korpitsch-2021-lov-screenshot.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/korpitsch-2021-lov/korpitsch-2021-lov-screenshot:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/korpitsch-2021-lov/", "__class": "Publication" }, { "id": "kouril-2021-phdthesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/17725", "title": "Interactive Visualization of Dense and Multi-Scale Data for Science Outreach", "date": "2021-04", "abstract": "This thesis focuses on the problem of navigating complex 3D models composed of large numbers of molecular instances packed densely in the three-dimensional space. Due to the large environment encompassing several magnitudes of scale, the traditional navigational paradigms applied in real-time computer graphics are becoming insufficient when applied to biological environments. In the first part of the thesis, I analyze navigation challenges presented by such a use case and recognize several modes of navigation that can be employed when interfacing a complex 3D visualization system with the end-user. We discuss three such modes of navigation: augmentive, declarative, and automative. First, in augmentive navigation, the user is given fully manual control over all aspects of navigation, such as controlling the camera's position and rotation, or the visibility of the individual model's parts. Their manual exploration is, however, augmented by automatically deployed annotation to help make sense of the environment. In declarative navigation, the user interaction is simplified to declaring their target. The visualization system then takes over the low-level controls of the visualization, e.g., camera path animation and scene visibility transition, which are computed to navigate the user directly to their declared target. The third stage, automative navigation, relieves the user from even this responsibility and places the choice of what gets shown to an algorithmic solution. In this case, such automated fly-through can then be guided by a specific storyline. In the second part of the thesis, I present specific methods addressing technical gaps and contributing to realizing the navigational stages presented in the first part. I start by introducing an approach for textual labeling of multi-scale molecular models inspired by the level-of-detail concept. That way, a scenario of augmentive navigation is provided. Second, I propose a navigational method for traversing a dense molecular model with a hierarchical organization, implementing the declarative navigation concept. The presented method uses textual labels for browsing the three-dimensional model, essentially providing a way of traversing the hierarchical organization and exploring the spatial characteristics of the model. Finally, I propose a pipeline for producing automated tours of molecular models, demonstrating the automative navigation mode.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2854, "image_height": 1266, "name": "kouril-2021-phdthesis-teaser.png", "type": "image/png", "size": 4190080, "path": "Publication:kouril-2021-phdthesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/kouril-2021-phdthesis-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/kouril-2021-phdthesis-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383 ], "date_end": "2021-04", "date_start": "2017-03", "doi": "10.34726/hss.2021.91703", "open_access": "yes", "pages": "123", "reviewer_1": [ 1448 ], "reviewer_2": [ 563 ], "rigorosum": "2021-04-07", "supervisor": [ 171 ], "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "biological", "visualization", "multi-scale", "dense", "navigation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2854, "image_height": 1266, "name": "kouril-2021-phdthesis-teaser.png", "type": "image/png", "size": 4190080, "path": "Publication:kouril-2021-phdthesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/kouril-2021-phdthesis-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/kouril-2021-phdthesis-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kouril-2021-phdthesis-thesis.pdf", "type": "application/pdf", "size": 80152274, "path": "Publication:kouril-2021-phdthesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/kouril-2021-phdthesis-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/kouril-2021-phdthesis-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/", "__class": "Publication" }, { "id": "eiweck-hnv-2021", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Immersive Exploration of Hierarchical Networks in VR", "date": "2021-04", "abstract": "Our world is becoming more digital each year, new parts of our daily life become\nconnected and the amount and complexity of the produced data increases steadily.\nThe analysis of this data enables big opportunities for science and industry. A\nsubset of this data is organized in the form of hierarchical networks or can be\ntransformed by clustering algorithms into hierarchical layers. We see this in multiple\napplication domains for example medical research where connections, group and\ncluster memberships of diseases are tracked; social science where relationships\nare mapped in company organization charts; in software engineering in the form of\nbuild-, dependency- and source code version management software with hierarchical\nconnections between software modules, versions and layered software architecture.\n\nHowever, getting insight into this complex data with traditional two-dimensional\nvisualization is getting more difficult as the visual clutter increases significantly with\nthe exponentially growth of data we saw in recent years. Therefore, we need new\nmethods and techniques to facilitate and expedite the analysis process. In this thesis,\nwe investigate a new approach to visualize hierarchical network data by extending\nalready existing concepts of two-dimensional hierarchical network visualizations\nwith a third dimension and applying it to a virtual reality based visualization system.\nWe believe that the capabilities of virtual reality devices, such as improved\nspatial impression and interaction possibilities by room-scale tracked headsets and\ncontrollers allow the visualization to fully utilize the benefits of three-dimensional\ninformation visualization. Therefore, it should be possible to analyze even bigger\nand more complex hierarchical networks than currently possible with conventional\ntwo-dimensional visualizations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 942, "image_height": 663, "name": "eiweck-hnv-2021-teaser.PNG", "type": "image/png", "size": 250349, "path": "Publication:eiweck-hnv-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eiweck-hnv-2021/eiweck-hnv-2021-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/eiweck-hnv-2021/eiweck-hnv-2021-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1781 ], "co_supervisor": [ 1072 ], "date_end": "2021-04", "date_start": "2020-09", "matrikelnr": "01633012", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://3dmultilayer.emanum.dev/", "caption": "video & tool", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 942, "image_height": 663, "name": "eiweck-hnv-2021-teaser.PNG", "type": "image/png", "size": 250349, "path": "Publication:eiweck-hnv-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eiweck-hnv-2021/eiweck-hnv-2021-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/eiweck-hnv-2021/eiweck-hnv-2021-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eiweck-hnv-2021-thesis.pdf", "type": "application/pdf", "size": 10795367, "path": "Publication:eiweck-hnv-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eiweck-hnv-2021/eiweck-hnv-2021-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/eiweck-hnv-2021/eiweck-hnv-2021-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eiweck-hnv-2021/", "__class": "Publication" }, { "id": "SCHUETZ-2021-DISS", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/17701", "title": "Interactive Exploration of Point Clouds", "date": "2021-04", "abstract": "Laser scanning, photogrammetry and other 3D scanning approaches generate data sets comprising millions to trillions of points. Modern GPUs can easily render a few million and up to tens of millions of points in real time, but data sets with hundreds of millions of points and more require acceleration structures to be rendered in real time. In this thesis, we present three contributions to the state of the art with the goal of improving the performance as well as the quality of real-time rendered point clouds.\n\nTwo of our contributions address the performance of LOD structure generation. State-of-the-art approaches achieve a throughput of up to around 1 million points per second, which requires users to wait minutes even for smaller data sets with a few hundred million points. Our proposed solutions are: A bottom-up LOD generation approach that creates LOD structures up to an order of magnitude faster than previous work, and a progressive rendering approach that is capable of rendering any point cloud that fits in GPU memory in real time, without the need to generate LOD structures at all. The former achieves a throughput of up to 10 million points per second, and the latter is capable of loading point clouds at rates of up to 37 million points per second from an industry-standard point-cloud format (LAS), and up to 100 million points per second if the file format matches the vertex buffer format. Since it does not need LOD structures, the progressive rendering approach can render already loaded points right away while additional points are still being loaded. \n\nOur third contribution improves the quality of LOD-based point-cloud rendering by introducing a continuous level-of-detail approach that produces gradual transitions in point density, rather than the characteristic and noticeable blocks from discrete LOD structures. It is mainly targeted towards VR applications, where discrete levels of detail are especially noticeable and disturbing, in a large part due to the popping of chunks of points during motion. ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1116 ], "doi": "10.34726/hss.2021.91668", "duration": "5", "open_access": "yes", "pages": "107", "reviewer_1": [ 1855 ], "reviewer_2": [ 1245 ], "rigorosum": "2021-04-07", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "point cloud rendering", "lidar" ], "weblinks": [], "files": [ { "description": null, "filetitle": "dissertation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "SCHUETZ-2021-DISS-dissertation.pdf", "type": "application/pdf", "size": 4739921, "path": "Publication:SCHUETZ-2021-DISS", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-DISS/SCHUETZ-2021-DISS-dissertation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-DISS/SCHUETZ-2021-DISS-dissertation:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-DISS/", "__class": "Publication" }, { "id": "pirch_2021_VRN", "type_id": "journalpaper_notalk", "tu_id": 299243, "repositum_id": "20.500.12708/138336", "title": "The VRNetzer platform enables interactive network analysis in Virtual Reality", "date": "2021-04", "abstract": "Networks provide a powerful representation of interacting components within complex\nsystems, making them ideal for visually and analytically exploring big data. However, the size\nand complexity of many networks render static visualizations on typically-sized paper or\nscreens impractical, resulting in proverbial ‘hairballs’. Here, we introduce a Virtual Reality\n(VR) platform that overcomes these limitations by facilitating the thorough visual, and\ninteractive, exploration of large networks. Our platform allows maximal customization and\nextendibility, through the import of custom code for data analysis, integration of external\ndatabases, and design of arbitrary user interface elements, among other features. As a proof\nof concept, we show how our platform can be used to interactively explore genome-scale\nmolecular networks to identify genes associated with rare diseases and understand how they\nmight contribute to disease development. Our platform represents a general purpose, VRbased\ndata exploration platform for large and diverse data types by providing an interface\nthat facilitates the interaction between human intuition and state-of-the-art analysis\nmethods.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1835, 1836, 1837, 1838, 1839, 1840, 1841, 1842, 1945, 378, 1843 ], "doi": "10.1038/s41467-021-22570-w", "first_published": "2021-04", "journal": "Nature Communications", "number": "2432", "open_access": "yes", "pages_from": "1", "pages_to": "14", "volume": "12", "research_areas": [ "InfoVis", "VR" ], "keywords": [ "virtual realitz" ], "weblinks": [ { "href": "https://www.nature.com/articles/s41467-021-22570-w", "caption": "Publication", "description": "The text of the publicatoin (open access). ", "main_file": 0 } ], "files": [], "projects_workgroups": [ "vr" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pirch_2021_VRN/", "__class": "Publication" }, { "id": "raidou_previs2021", "type_id": "journalpaper_notalk", "tu_id": 301682, "repositum_id": "20.500.12708/138838", "title": "PREVIS: Predictive visual analytics of anatomical variability for radiotherapy decision support", "date": "2021-04", "abstract": "adiotherapy (RT) requires meticulous planning prior to treatment, where the RT plan is optimized with organ delineations on a pre-treatment Computed Tomography (CT) scan of the patient. The conventionally fractionated treatment usually lasts several weeks. Random changes (e.g., rectal and bladder filling in prostate cancer patients) and systematic changes (e.g., weight loss) occur while the patient is being treated. Therefore, the delivered dose distribution may deviate from the planned. Modern technology, in particular image guidance, allows to minimize these deviations, but risks for the patient remain.\n\nWe present PREVIS, a visual analytics tool for:\n\n(i) the exploration and prediction of changes in patient anatomy during the upcoming treatment, and\n\n(ii) the assessment of treatment strategies, with respect to the anticipated changes.\n\nRecords of during-treatment changes from a retrospective imaging cohort with complete data are employed in PREVIS, to infer expected anatomical changes of new incoming patients with incomplete data, using a generative model. Abstracted representations of the retrospective cohort partitioning provide insight into an underlying automated clustering, showing main modes of variation for past patients. Interactive similarity representations support an informed selection of matching between new incoming patients and past patients. A Principal Component Analysis (PCA)-based generative model describes the predicted spatial probability distributions of the incoming patient’s organs in the upcoming weeks of treatment, based on observations of past patients. The generative model is interactively linked to treatment plan evaluation, supporting the selection of the optimal treatment strategy.\n\nWe present a usage scenario, demonstrating the applicability of PREVIS in a clinical research setting, and we evaluate our visual analytics tool with eight clinical researchers.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1733, 1445, 1444, 1568, 1569, 1844, 1410 ], "doi": "https://doi.org/10.1016/j.cag.2021.04.010", "journal": "Computers and Graphics", "open_access": "yes", "pages_from": "126", "pages_to": "138", "volume": "97", "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [ { "href": "https://renataraidou.com/previs-predictive-visual-analytics-of-anatomical-variability-for-radiotherapy-decision-support/", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": 768, "preview_image_height": 590, "name": "raidou_previs2021-paper.pdf", "type": "application/pdf", "size": null, "path": "Publication:raidou_previs2021", "preview_name": "raidou_previs2021-paper:preview.png", "preview_type": "image/png", "preview_size": 184775, "url": "https://www.cg.tuwien.ac.at/research/publications/2021/raidou_previs2021/raidou_previs2021-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/raidou_previs2021/raidou_previs2021-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/raidou_previs2021/", "__class": "Publication" }, { "id": "reimer-2021-CVR", "type_id": "journalpaper_notalk", "tu_id": 299074, "repositum_id": "20.500.12708/138272", "title": "Colocation for SLAM-Tracked VR Headsets with Hand Tracking", "date": "2021-04", "abstract": "In colocated multi-user Virtual Reality applications, relative user positions in the virtual environment need to match their relative positions in the physical tracking space. A mismatch between virtual and real relative user positions might lead to harmful events such as physical user collisions. This paper examines three calibration methods that enable colocated Virtual Reality scenarios for SLAM-tracked head-mounted displays without the need for an external tracking system. Two of these methods—fixed-point calibration and marked-based calibration—have been described in previous research; the third method that uses hand tracking capabilities of head-mounted displays is novel. We evaluated the accuracy of these three methods in an experimental procedure with two colocated Oculus Quest devices. The results of the evaluation show that our novel hand tracking-based calibration method provides better accuracy and consistency while at the same time being easy to execute. The paper further discusses the potential of all evaluated calibration methods. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1944, "image_height": 972, "preview_image_width": 1944, "preview_image_height": 972, "name": "reimer-2021-CVR-image.jpg", "type": "image/jpeg", "size": 301602, "path": "Publication:reimer-2021-CVR", "preview_name": "reimer-2021-CVR-image:preview.jpg", "preview_type": "image/jpeg", "preview_size": 301602, "url": "https://www.cg.tuwien.ac.at/research/publications/2021/reimer-2021-CVR/reimer-2021-CVR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/reimer-2021-CVR/reimer-2021-CVR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1832, 1945, 1833, 378 ], "doi": "10.3390/computers10050058", "first_published": "2021-04", "issn": "2073-431X", "journal": "Computers", "number": "5", "open_access": "yes", "pages_from": "1", "pages_to": "17", "volume": "10", "research_areas": [ "VR" ], "keywords": [ " colocation", "multi-user VR", "hand tracking ", "shared space" ], "weblinks": [ { "href": "https://www.mdpi.com/2073-431X/10/5/58", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1944, "image_height": 972, "preview_image_width": 1944, "preview_image_height": 972, "name": "reimer-2021-CVR-image.jpg", "type": "image/jpeg", "size": 301602, "path": "Publication:reimer-2021-CVR", "preview_name": "reimer-2021-CVR-image:preview.jpg", "preview_type": "image/jpeg", "preview_size": 301602, "url": "https://www.cg.tuwien.ac.at/research/publications/2021/reimer-2021-CVR/reimer-2021-CVR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/reimer-2021-CVR/reimer-2021-CVR-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vr" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/reimer-2021-CVR/", "__class": "Publication" }, { "id": "panfili-2021-myop", "type_id": "otherreviewed", "tu_id": null, "repositum_id": "20.500.12708/58726", "title": "Myopia in Head-Worn Virtual Reality", "date": "2021-03-27", "abstract": "In this work, we investigate the influence of myopia on the perceived visual acuity (VA) in head-worn virtual reality (VR). Factors such as display resolution or vision capabilities of users influence the VA in VR. We simulated eyesight tests in VR and on a desktop screen and conducted a user study comparing VA measurements of participants with normal sight and participants with myopia. Surprisingly, our results suggest that people with severe myopia can see better in VR than in the real world, while the VA of people with normal or corrected sight or mild myopia is reduced in VR.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1658, 193, 1030 ], "booktitle": "2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)", "date_from": "2021-03-27", "date_to": "2021-04-01", "doi": "10.1109/VRW52623.2021.00197", "isbn": "978-1-6654-1166-0", "location": "online", "open_access": "no", "pages": "2", "pages_from": "629", "pages_to": "630", "publisher": "IEEE Computer Society Press", "research_areas": [ "Perception", "Rendering" ], "keywords": [ "visual impairments" ], "weblinks": [], "files": [ { "description": null, "filetitle": "abstract", "main_file": true, "use_in_gallery": false, "access": "public", "name": "panfili-2021-myop-abstract.pdf", "type": "application/pdf", "size": 1495051, "path": "Publication:panfili-2021-myop", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/panfili-2021-myop/panfili-2021-myop-abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/panfili-2021-myop/panfili-2021-myop-abstract:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/panfili-2021-myop/", "__class": "Publication" }, { "id": "Mistelbauer_2021", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/138958", "title": "Semi-automatic vessel detection for challenging cases of peripheral arterial disease ", "date": "2021-03-18", "abstract": "Objectives: Manual or semi-automated segmentation of the lower extremity arterial tree in patients with Pe-ripheral arterial disease (PAD) remains a notoriously difficult and time-consuming task. The complex manifes-tations of the disease, including discontinuities of the vascular flow channels, the presence of calcified atherosclerotic plaque in close vicinity to adjacent bone, and the presence of metal or other imaging artifacts currently preclude fully automated vessel identification. New machine learning techniques may alleviate this challenge, but require large and reasonably well segmented training data. \nMethods: We propose a novel semi-automatic vessel tracking approach for peripheral arteries to facilitate and accelerate the creation of annotated training data by expert cardiovascular radiologists or technologists, while limiting the number of necessary manual interactions, and reducing processing time. After automatically clas-sifying blood vessels, bones, and other tissue, the relevant vessels are tracked and organized in a tree-like structure for further visualization. \nResults: We conducted a pilot (N = 9) and a clinical study (N = 24) in which we assess the accuracy and required time for our approach to achieve sufficient quality for clinical application, with our current clinically established workflow as the standard of reference. Our approach enabled expert physicians to readily identify all clinically relevant lower extremity arteries, even in problematic cases, with an average sensitivity of 92.9%, and an average specificity and overall accuracy of 99.9%. \nConclusions: Compared to the clinical workflow in our collaborating hospitals (28:40 ± 7:45 [mm:ss]), our approach (17:24 ± 6:44 [mm:ss]) is on average 11:16 [mm:ss] (39%) faster. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 782, "image_height": 478, "name": "Mistelbauer_2021-Image.JPG", "type": "image/jpeg", "size": 53912, "path": "Publication:Mistelbauer_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mistelbauer_2021/Mistelbauer_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mistelbauer_2021/Mistelbauer_2021-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 869, 1064, 1047, 1899, 1391, 1065, 166 ], "doi": "10.1016/j.compbiomed.2021.104344", "first_published": "2021-03-18", "journal": "Computers in Biology and Medicine ", "open_access": "yes", "pages_from": "1", "pages_to": "14", "volume": "133", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 782, "image_height": 478, "name": "Mistelbauer_2021-Image.JPG", "type": "image/jpeg", "size": 53912, "path": "Publication:Mistelbauer_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mistelbauer_2021/Mistelbauer_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mistelbauer_2021/Mistelbauer_2021-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Mistelbauer_2021-Paper.pdf", "type": "application/pdf", "size": 8475802, "path": "Publication:Mistelbauer_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mistelbauer_2021/Mistelbauer_2021-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mistelbauer_2021/Mistelbauer_2021-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mistelbauer_2021/", "__class": "Publication" }, { "id": "schmidlehner2021", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Standards-based Clinical Data Repository", "date": "2021-03-10", "abstract": "During the treatment process of a patient the physician usually requests a Laboratory Report (e.g. a blood count) from the laboratory. The delivery of the Laboratory Report is ususally performed via fax or letter to the treating physician. The structured laboratory data, which were initially generated by the laboratory, are not available for the physician. Furthermore, the physician has to import the Laboratory Report manually to the Electronic Medical Record (EMR) system. Thus, enabling the electronic data exchange between a laboratory and relevant healthcare providers improves the current treatment processes.\nThe aim was the connection between a laboratory and an existing distributed Health Information Exchange (HIE), where several healthcare providers are connected to exchange medical docu-ments via the Cross-Enterprise Document Sharing (XDS) profile. A challenge was to perform the integration transparently with existing established exchange mechanisms and interfaces. While the Laboratory Information System (LIS) sends laboratory data via Health Level 7 (HL7) V2 messages over Transmission Control Protocol/Internet Protocol (TCP/IP), the HIE follows the document-based approach, and exchanges documents via XDS transactions over SOAP 1.2.\nA Clinical Data Repository (CDR) has been established for the storage and management of the laboratory data as Fast Healthcare Interoperability Resources (FHIR) resources. Furthermore, a Health Service Bus (HSB) has been developed to support the communication between the LIS, the CDR, and the HIE participating systems and components. The Clinical Document Architecture (CDA) standard was used to create a structured laboratory document, which has been exchanged with the participating healthcare providers of the HIE. The HSB integrates translation engines, which are responsible for the mapping from HL7 V2 messages into FHIR resources and further from FHIR resources into CDA documents.\nThe integration of the laboratory with the HIE was successful. An adequate mapping between the HL7 V2, FHIR, and CDA standards has been specified. Gaps between the particular standards have been identified and if necessary, an extension of the data structure has been defined. FHIR has proven its suitability as a flexible and robust storage format and its ability to provide the appropriate data structure to map laboratory data from HL7 V2 and convert FHIR resources to a CDA document.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 805, "image_height": 412, "name": "schmidlehner2021-image.JPG", "type": "image/jpeg", "size": 34864, "path": "Publication:schmidlehner2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1357 ], "date_end": "2021-03-10", "date_start": "2020-07-02", "diploma_examina": "2021-03-10", "matrikelnr": "0626031", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 805, "image_height": 412, "name": "schmidlehner2021-image.JPG", "type": "image/jpeg", "size": 34864, "path": "Publication:schmidlehner2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "schmidlehner2021-Master Thesis.pdf", "type": "application/pdf", "size": 1948814, "path": "Publication:schmidlehner2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "schmidlehner2021-Poster.pdf", "type": "application/pdf", "size": 134794, "path": "Publication:schmidlehner2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/", "__class": "Publication" }, { "id": "ohrhallinger-2021-egs", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/58727", "title": "2D Points Curve Reconstruction Survey and Benchmark", "date": "2021-03-09", "abstract": "Curve reconstruction from unstructured points in a plane is a fundamental problem with many applications that has generated research interest for decades. Involved aspects like handling open, sharp, multiple and non-manifold outlines, run-time and provability as well as potential extension to 3D for surface reconstruction have led to many different algorithms. We survey the literature on 2D curve reconstruction and then present an open-sourced benchmark for the experimental study. Our unprecedented evaluation on a selected set of planar curve reconstruction algorithms aims to give an overview of both quantitative analysis and qualitative aspects for helping users to select the right algorithm for specific problems in the field. Our benchmark framework is available online to permit reproducing the results, and easy integration of new algorithms.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 5275, "image_height": 1881, "name": "ohrhallinger-2021-egs-image.png", "type": "image/png", "size": 1212842, "path": "Publication:ohrhallinger-2021-egs", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/ohrhallinger-2021-egs-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/ohrhallinger-2021-egs-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948, 1828, 1825, 1826, 1827 ], "cfp": { "name": "call.pdf", "type": "application/pdf", "error": "0", "size": "408947", "orig_name": "call.pdf", "ext": "pdf" }, "date_from": "2019", "date_to": "2021-03-09", "event": "Eurographics 2021", "journal": "Computer Graphics Forum", "lecturer": [ 948, 1828, 1825 ], "location": "Online", "open_access": "yes", "pages": "22", "pages_from": "611", "pages_to": "632", "publisher": "Eurographics Association", "volume": "1", "research_areas": [ "Geometry" ], "keywords": [ "curve reconstruction", "state-of-the-art report", "benchmark" ], "weblinks": [ { "href": "https://users.cg.tuwien.ac.at/stef/curvebenchmark/", "caption": "Website", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 5275, "image_height": 1881, "name": "ohrhallinger-2021-egs-image.png", "type": "image/png", "size": 1212842, "path": "Publication:ohrhallinger-2021-egs", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/ohrhallinger-2021-egs-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/ohrhallinger-2021-egs-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger-2021-egs-paper.pdf", "type": "application/pdf", "size": 4185295, "path": "Publication:ohrhallinger-2021-egs", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/ohrhallinger-2021-egs-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/ohrhallinger-2021-egs-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/", "__class": "Publication" }, { "id": "depner_dennis-2020-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "3D Scan Integration", "date": "2021-03-01", "abstract": "3D scanning is often not complete after a single pass from a single sensor. Multiple scanners, e.g. from a crowd, or multiple autonomous vehicles, may contribute data simultaneously. Or, after looking at the resulting model, more passes may be made to fill holes or improve the quality.\n\nThis requires updating a 3D reconstruction with new points, integrating those into the model and considering them equally with the existing points. In order to avoid dynamic and massive storage requirements, their coordinate information required for reconstruction can be stored as single median+variance vectors, which can be updated incrementally with new points, see e.g.: http://datagenetics.com/blog/november22017/index.html). With the local information at nodes, marching cubes can be used to generate a triangulation at grid cells. Since the octree has varying depths at leaf nodes, we need to apply an adapted version from an existing algorithm, Screened Poisson (for source and paper see: http://www.cs.jhu.edu/~misha/Code/PoissonRecon/Version8.0/). See also http://infinitam.org for the source code and the paper it is based on.\n\nTasks:\n Use a Kinect 3D scanner with the Infinitam software to scan several overlapping passes of an interior room, resulting in an octree with data in its nodes\n Hand-align scans with Meshlab or register them using ICP (http://pointclouds.org/documentation/tutorials/iterative_closest_point.php) so that they correspond spatially\n Add new points into octree nodes which overlap in space\n Apply a provided surface orientation operator which uses median+variance of nodes in order to mark vertices of nodes as in- or outside\n Create a mesh from the octree on demand for visualization, using marching cubes adapted to octrees as in Screened Poisson\n Evaluate the quality of the incrementally created reconstruction with a single-pass reconstruction of a merged point cloud where all points are considered at once\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 924, "image_height": 813, "name": "depner_dennis-2020-baa-image.png", "type": "image/png", "size": 614710, "path": "Publication:depner_dennis-2020-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/depner_dennis-2020-baa/depner_dennis-2020-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/depner_dennis-2020-baa/depner_dennis-2020-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1749 ], "date_end": "2021-03-01", "date_start": "2020-03-16", "matrikelnr": "01632716", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "3d scanning", "scan integration", "geometry processing" ], "weblinks": [ { "href": "https://gitlab.cg.tuwien.ac.at/stef/scan-integration", "caption": "source", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 924, "image_height": 813, "name": "depner_dennis-2020-baa-image.png", "type": "image/png", "size": 614710, "path": "Publication:depner_dennis-2020-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/depner_dennis-2020-baa/depner_dennis-2020-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/depner_dennis-2020-baa/depner_dennis-2020-baa-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "depner_dennis-2020-baa-paper.pdf", "type": "application/pdf", "size": 34339857, "path": "Publication:depner_dennis-2020-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/depner_dennis-2020-baa/depner_dennis-2020-baa-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/depner_dennis-2020-baa/depner_dennis-2020-baa-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/depner_dennis-2020-baa/", "__class": "Publication" }, { "id": "Batik-2021", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Embedding User-Defined Shapes into Metro Map Layouts", "date": "2021-03", "abstract": "Metro maps are essential when navigating through a public transportation network. They are schematic maps that have the aim to make orientation and navigation through a metro system easier. But creating them is quite complicated. Therefore numerous algorithms have been developed in the past trying to generate these maps automatically. The downside to using this approach is, that the designer only has limited possibilities to influence the resulting layout as well as contextual information of the city can not be taken into account. In order to overcome this limitation, this thesis presents a method where a potential user could influence the resulting layout by adding a set of guide paths. This method can be used to create artistically pleasing metro maps as well as make metro lines follow symbolic shapes in the layout. A mixed-layout – where some edges are rotated to be parallel to the closest guide path and other parts are octilinear – is proposed to integrate the guide paths better into the layout. To outline the potentials of this approach, examples of several metro networks were generated and are later also discussed.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 461, "image_height": 319, "name": "Batik-2021-image.png", "type": "image/png", "size": 56056, "path": "Publication:Batik-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Batik-2021/Batik-2021-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Batik-2021/Batik-2021-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1830 ], "date_end": "2021", "date_start": "2020", "matrikelnr": "11701221", "supervisor": [ 1464 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 461, "image_height": 319, "name": "Batik-2021-image.png", "type": "image/png", "size": 56056, "path": "Publication:Batik-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Batik-2021/Batik-2021-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Batik-2021/Batik-2021-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Batik-2021-thesis.pdf", "type": "application/pdf", "size": 4328824, "path": "Publication:Batik-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Batik-2021/Batik-2021-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Batik-2021/Batik-2021-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Batik-2021/", "__class": "Publication" }, { "id": "Kellner-2021-DA", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Klassifikation Urbaner Punktwolken Mittels 3D CNNs In Kombination mit Rekonstruktion von Gehsteigen", "date": "2021-03", "abstract": "LiDAR devices are able to capture the physical world very accurately. Therefore, they\nare often used for 3D reconstruction. Unfortunately, such data can become extremely\nlarge very quickly and usually only a small part of the point cloud is of interest. Thus,\nthe point cloud is filtered beforehand in order to apply algorithms only on those points\nthat are relevant for it. A semantic information about the points can be used for such a\nfiltering. Semantic segmentation of point clouds is a popular field of research and here\nthere has been a trend towards deep learning in recent years too. However, contrary to\nimages, point clouds are unstructured. Hence, point clouds are often rasterized, but this\nhas to be done, such that the underlying structure is represented well.\nIn this thesis, a 3D Convolutional Neural Network is developed and trained for a semantic\nsegmentation of LiDAR point clouds. Thereby, a point cloud is represented with an\noctree data structure, which makes it easy to rasterize only relevant parts. Since, just\ndense parts of the point cloud, in which important information about the structure is\nlocated, are subdivided further. This allows to simply take nodes of a certain level of the\noctree and rasterize them as data samples.\nThere are many application areas for 3D reconstructions based on point clouds. In an\nurban scenario, these can be for example whole city models or buildings. However, in this\nthesis, the reconstruction of sidewalks is explored. Since, for flood simulations in cities, an\nincrease in height of a few centimeters can make a great difference and information about\nthe curb geometry helps to make them more accurate. In the sidewalk reconstruction\nprocess, the point cloud is filtered first, based on a semantic segmentation of a 3D CNN,\nand then point cloud features are calculated to detect curb points. With these curb\npoints, the geometry of the curb, sidewalk and street are computed.\nTaken all together, this thesis develops a proof-of-concept prototype for semantic point\ncloud segmentation using 3D CNNs and based on that, a curb detection and reconstruction\nalgorithm.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2559, "image_height": 830, "name": "Kellner-2021-DA-image.png", "type": "image/png", "size": 4022399, "path": "Publication:Kellner-2021-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1466 ], "date_end": "2021", "date_start": "2020", "diploma_examina": "2021-04-14", "matrikelnr": "01428183", "note": "1", "open_access": "yes", "supervisor": [ 190 ], "research_areas": [ "Geometry", "Modeling", "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Diploma Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Kellner-2021-DA-Diploma Thesis.pdf", "type": "application/pdf", "size": 72361959, "path": "Publication:Kellner-2021-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-Diploma Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-Diploma Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2559, "image_height": 830, "name": "Kellner-2021-DA-image.png", "type": "image/png", "size": 4022399, "path": "Publication:Kellner-2021-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Kellner-2021-DA-poster.pdf", "type": "application/pdf", "size": 3185169, "path": "Publication:Kellner-2021-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/", "__class": "Publication" }, { "id": "KOCH-2021-GVSDA", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/16967", "title": "Visibility precomputation with RTX ray tracing", "date": "2021-03", "abstract": "Visibility computation is a common problem in the field of computer graphics. Examples\ninclude occlusion culling, where parts of the scene are culled away, or global illumination\nsimulations, which are based on the mutual visibility of pairs of points to calculate lighting.\nIn this thesis, an aggressive from-region visibility technique called Guided Visibility\nSampling++ (GVS++) is presented. The proposed technique improves the Guided\nVisibility Sampling algorithm through improved sampling strategies, thus achieving low\nerror rates on various scenes, and being over four orders of magnitude faster than the\noriginal CPU-based Guided Visibility Sampling implementation. We present intelligent\nsampling strategies that use ray casting to determine a set of triangles visible from a\nflat or volumetric rectangular region in space. This set is called a potentially visible set\n(PVS). Based on initial random sampling, subsequent exploration phases progressively\ngrow an intermediate solution. A termination criterion is used to terminate the PVS\nsearch. A modern implementation using the Vulkan graphics API and RTX ray tracing\nis discussed. Furthermore, optimizations are shown that allow for an implementation\nthat is over 20 times faster than a naive implementation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2553, "image_height": 1495, "name": "KOCH-2021-GVSDA-image.jpg", "type": "image/jpeg", "size": 860042, "path": "Publication:KOCH-2021-GVSDA", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVSDA/KOCH-2021-GVSDA-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVSDA/KOCH-2021-GVSDA-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1604 ], "date_end": "2021-03-09", "date_start": "2020-03-01", "diploma_examina": "2021-03-09", "doi": "10.34726/hss.2021.79729", "matrikelnr": "01526232", "open_access": "yes", "pages": "89", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "visibitility culling", "ray tracing" ], "weblinks": [ { "href": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVS/", "caption": "publication", "description": "i3D paper from the thesis", "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2553, "image_height": 1495, "name": "KOCH-2021-GVSDA-image.jpg", "type": "image/jpeg", "size": 860042, "path": "Publication:KOCH-2021-GVSDA", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVSDA/KOCH-2021-GVSDA-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVSDA/KOCH-2021-GVSDA-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "KOCH-2021-GVSDA-poster.pdf", "type": "application/pdf", "size": 2150388, "path": "Publication:KOCH-2021-GVSDA", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVSDA/KOCH-2021-GVSDA-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVSDA/KOCH-2021-GVSDA-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "KOCH-2021-GVSDA-thesis.pdf", "type": "application/pdf", "size": 19847336, "path": "Publication:KOCH-2021-GVSDA", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVSDA/KOCH-2021-GVSDA-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVSDA/KOCH-2021-GVSDA-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVSDA/", "__class": "Publication" }, { "id": "Kompatscher-2021", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Automatic Gradient-Preserving Stencilization of Raster Images", "date": "2021-03", "abstract": "Stencils are used as intermediate objects with designed gaps in them, to create patterns on surfaces by applying pigments on the surface through the stencil, which allows the pigment to reach the surface through the gaps and thereby to create the pattern on the surface. For the production of a stencil out of any raster image, it is not enough to assume the background color as the parts of the material that will be cut out and the other color as the material remaining in the stencil. There has to be cohesion between all the independent parts that are left in so that they do not have to be held in place individually. The needed connections between the components could be made very obvious and easy to distinguish from the intended shapes in order to draw over them later on with a paintbrush. The goal of this work however, will be an algorithm that produces connections between the shapes that can be left in the image the stencil produces, without disturbing the appearance of the shapes present (too much). This is done by finding the directions of the shapes’ contours on a vectorized version of the original image, to be able to continue in the same direction with the connections between different shapes. Then from all the possible connections the ones that will be used are found by creating a graph data structure and finding a maximum matching of that graph. In the end, it will be possible to input a binary image and get back a continuous stencil form that can be used as-is.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 496, "image_height": 278, "name": "Kompatscher-2021-image.png", "type": "image/png", "size": 79093, "path": "Publication:Kompatscher-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kompatscher-2021/Kompatscher-2021-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kompatscher-2021/Kompatscher-2021-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1829 ], "date_end": "2021", "date_start": "2020", "matrikelnr": "01527584", "supervisor": [ 1464 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 496, "image_height": 278, "name": "Kompatscher-2021-image.png", "type": "image/png", "size": 79093, "path": "Publication:Kompatscher-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kompatscher-2021/Kompatscher-2021-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kompatscher-2021/Kompatscher-2021-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kompatscher-2021-thesis.pdf", "type": "application/pdf", "size": 2126015, "path": "Publication:Kompatscher-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kompatscher-2021/Kompatscher-2021-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kompatscher-2021/Kompatscher-2021-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kompatscher-2021/", "__class": "Publication" }, { "id": "wu-2021-vi", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/138953", "title": "Visualization working group at TU Wien: Visibile Facimus Quod Ceteri Non Possunt", "date": "2021-03", "abstract": "Building-up and running a university-based research group is a multi-faceted undertaking. The visualization working group at TU Wien (vis-group) has been internationally active over more than 25 years. The group has been acting in a competitive scientific setting where sometimes contradicting multiple objectives require trade-offs and optimizations. Research-wise the group has been performing basic and applied research in visualization and visual computing. Teaching-wise the group has been involved in undergraduate and graduate lecturing in (medical) visualization and computer graphics. To be scientifically competitive requires to constantly expose the group and its members to a strong international competition at the highest level. This necessitates to shield the members against the ensuing pressures and demands and provide (emotional) support and encouragement. Internally, the vis-group has developed a unique professional and social interaction culture: work and celebrate, hard and together. This has crystallized into a nested, recursive, and triangular organization model, which concretizes what it takes to make a research group successful. The key elements are the creative and competent vis-group members who collaboratively strive for (scientific) excellence in a socially enjoyable environment.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2021-vi-image.png", "type": "image/png", "size": 37909, "path": "Publication:wu-2021-vi", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/wu-2021-vi-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/wu-2021-vi-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1170, 1366, 1285, 1383, 1263, 1577, 935, 1410, 171, 1110, 166 ], "doi": "https://doi.org/10.1016/j.visinf.2021.02.003", "journal": "Visual Informatics", "open_access": "yes", "pages_from": "76", "pages_to": "84", "volume": "5", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2021-vi-image.png", "type": "image/png", "size": 37909, "path": "Publication:wu-2021-vi", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/wu-2021-vi-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/wu-2021-vi-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2021-vi-paper.pdf", "type": "application/pdf", "size": 4057176, "path": "Publication:wu-2021-vi", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/wu-2021-vi-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/wu-2021-vi-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/", "__class": "Publication" }, { "id": "Sarkis_2021", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/138952", "title": "Multiscale Unfolding: Illustratively Visualizing the Whole Genome at a Glance", "date": "2021-03", "abstract": "We present Multiscale Unfolding, an interactive technique for illustratively visualizing multiple hierarchical scales of DNA in a single view, showing the genome at different scales and demonstrating how one scale spatially folds into the next. The DNA’s extremely long sequential structure—arranged differently on several distinct scale levels—is often lost in traditional 3D depictions, mainly due to its multiple levels of dense spatial packing and the resulting occlusion. Furthermore, interactive exploration of this complex structure is cumbersome, requiring visibility management like cut-aways. In contrast to existing temporally controlled multiscale data exploration, we allow viewers to always see and interact with any of the involved scales. For this purpose we separate the depiction into constant-scale and scale transition zones. Constant-scale zones maintain a single-scale representation, while still linearly unfolding the DNA. Inspired by illustration, scale transition zones connect adjacent constant-scale zones via level unfolding, scaling, and transparency. We thus represent the spatial structure of the whole DNA macro-molecule, maintain its local organizational characteristics, linearize its higher-level organization, and use spatially controlled, understandable interpolation between neighboring scales. We also contribute interaction\ntechniques that provide viewers with a coarse-to-fine control for navigating within our all-scales-in-one-view representations and visual \naids to illustrate the size differences. Overall, Multiscale Unfolding allows viewers to grasp the DNA’s structural composition from \nchromosomes to the atoms, with increasing levels of “unfoldedness,” and can be applied in data-driven illustration and communication. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 797, "image_height": 289, "name": "Sarkis_2021-Image.JPG", "type": "image/jpeg", "size": 69327, "path": "Publication:Sarkis_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/Sarkis_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/Sarkis_2021-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1665, 1383, 1263, 166, 171, 960 ], "doi": "10.1109/TVCG.2021.3065443", "first_published": "2021-03-11", "journal": "IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS ", "open_access": "yes", "pages_from": "1", "pages_to": "13", "volume": "3", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 797, "image_height": 289, "name": "Sarkis_2021-Image.JPG", "type": "image/jpeg", "size": 69327, "path": "Publication:Sarkis_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/Sarkis_2021-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/Sarkis_2021-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Sarkis_2021-Paper.pdf", "type": "application/pdf", "size": 17061748, "path": "Publication:Sarkis_2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/Sarkis_2021-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/Sarkis_2021-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/", "__class": "Publication" }, { "id": "Vonach021", "type_id": "journalpaper_notalk", "tu_id": 298566, "repositum_id": "20.500.12708/138122", "title": "StARboard & TrACTOr: Actuated Tangibles in an Educational TAR Application", "date": "2021-02-09", "abstract": "We explore the potential of direct haptic interaction in a novel approach to Tangible Augmented Reality in an educational context. Employing our prototyping platform ACTO, we developed a tabletop Augmented Reality application StARboard for sailing students. In this personal viewpoint environment virtual objects, e.g., sailing ships, are physically represented by actuated micro robots. These align with virtual objects, allowing direct physical interaction with the scene. When a user tries to pick up a virtual ship, its physical robot counterpart is grabbed instead. We also developed a tracking solution TrACTOr, employing a depth sensor to allow tracking independent of the table surface. In this paper we present concept and development of StARboard and TrACTOr. We report results of our user study with 18 participants using our prototype. They show that direct haptic interaction in tabletop AR scores en-par with traditional mouse interaction on a desktop setup in usability (mean SUS = 86.7 vs. 82.9) and performance (mean RTLX = 15.0 vs. 14.8), while outperforming the mouse in factors related to learning like presence (mean 6.0 vs 3.1) and absorption (mean 5.4 vs. 4.2). It was also rated the most fun (13× vs. 0×) and most suitable for learning (9× vs. 4×).", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "ACTO with overlay", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 785, "image_height": 541, "name": "Vonach021-ACTO with overlay.jpg", "type": "image/jpeg", "size": 259725, "path": "Publication:Vonach021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Vonach021/Vonach021-ACTO with overlay.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Vonach021/Vonach021-ACTO with overlay:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1944, 1871, 378 ], "doi": "10.3390/mti5020006", "issn": "2414-4088", "journal": "Multimodal Technologies and Interaction", "number": "2", "open_access": "yes", "pages_from": "1", "pages_to": "22", "volume": "5", "research_areas": [ "VR" ], "keywords": [ "Tangible Augmented Reality; Tangible User Interface; tabletop interaction; robots; actuation; haptics" ], "weblinks": [ { "href": "https://www.mdpi.com/2414-4088/5/2/6", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "ACTO with overlay", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 785, "image_height": 541, "name": "Vonach021-ACTO with overlay.jpg", "type": "image/jpeg", "size": 259725, "path": "Publication:Vonach021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Vonach021/Vonach021-ACTO with overlay.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Vonach021/Vonach021-ACTO with overlay:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Vonach021/", "__class": "Publication" }, { "id": "klein-2020-rtgi", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "A Framework For Real-Time Global Illumination Algorithms", "date": "2021-01-31", "abstract": "If someone were in need of a real-time global illumination algorithm regarding their specific requirements, they would have no issue finding many possible options nowadays. There are many algorithms that are unmatched in realism, interactivity or performance. However, it might be challenging to compare different approaches side by side.\n\nIn this thesis, a framework is proposed that is capable of building a foundation for the comparison of real-time global illumination algorithms. This framework depends on an unified handling of various algorithms while aiming to be nonrestrictive towards them. All modules of the application are designed to be as mutable, generic, extendable, and reusable as possible to avoid the reimplementation of similar concepts. A consistent concept is integrated into the framework to provide a great amount of configurability, even at runtime.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1543 ], "date_end": "2020-01-31", "date_start": "2017-09-20", "matrikelnr": "01426483", "supervisor": [ 193, 1129 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [ { "href": "https://gitlab.com/markus_k/real-time-global-illumination-algorithms", "caption": "Code", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 980, "image_height": 717, "name": "klein-2020-rtgi-teaser.jpg", "type": "image/jpeg", "size": 292665, "path": "Publication:klein-2020-rtgi", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/klein-2020-rtgi/klein-2020-rtgi-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/klein-2020-rtgi/klein-2020-rtgi-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "klein-2020-rtgi-thesis.pdf", "type": "application/pdf", "size": 2889336, "path": "Publication:klein-2020-rtgi", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/klein-2020-rtgi/klein-2020-rtgi-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/klein-2020-rtgi/klein-2020-rtgi-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/klein-2020-rtgi/", "__class": "Publication" }, { "id": "waldner-2021-leo", "type_id": "journalpaper_notalk", "tu_id": 301684, "repositum_id": "20.500.12708/138840", "title": "Linking unstructured evidence to structured observations", "date": "2021-01-14", "abstract": "Many professionals, like journalists, writers, or consultants, need to acquire information from various sources, make sense of this unstructured evidence, structure their observations, and finally create and deliver their product, such as a report or a presentation. In formative interviews, we found that tools allowing structuring of observations are often disconnected from the corresponding evidence. Therefore, we designed a sensemaking environment with a flexible observation graph that visually ties together evidence in unstructured documents with the user’s structured knowledge. This is achieved through bi-directional deep links between highlighted document portions and nodes in the observation graph. In a controlled study, we compared users’ sensemaking strategies using either the observation graph or a simple text editor on a large display. Results show that the observation graph represents a holistic, compact representation of users’ observations, which can be linked to unstructured evidence on demand. In contrast, users taking textual notes required much more display space to spatially organize source documents containing unstructured evidence. This implies that spatial organization is a powerful strategy to structure observations even if the available space is limited.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "observation graph", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 700, "name": "waldner-2021-leo-observation graph.png", "type": "image/png", "size": 523772, "path": "Publication:waldner-2021-leo", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/waldner-2021-leo/waldner-2021-leo-observation graph.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/waldner-2021-leo/waldner-2021-leo-observation graph:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1110, 1477, 202, 1690 ], "doi": "https://doi.org/10.1177/1473871620986249", "journal": "Information Visualization", "research_areas": [ "InfoVis" ], "keywords": [ "mind map", "concept map", "observation graph", "visual links", "sensemaking" ], "weblinks": [], "files": [ { "description": null, "filetitle": "observation graph", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 700, "name": "waldner-2021-leo-observation graph.png", "type": "image/png", "size": 523772, "path": "Publication:waldner-2021-leo", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/waldner-2021-leo/waldner-2021-leo-observation graph.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/waldner-2021-leo/waldner-2021-leo-observation graph:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "waldner-2021-leo-Paper.pdf", "type": "application/pdf", "size": 4071473, "path": "Publication:waldner-2021-leo", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/waldner-2021-leo/waldner-2021-leo-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/waldner-2021-leo/waldner-2021-leo-Paper:thumb{{size}}.png" }, { "description": "accepted version", "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "waldner-2021-leo-preprint.pdf", "type": "application/pdf", "size": 6410358, "path": "Publication:waldner-2021-leo", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/waldner-2021-leo/waldner-2021-leo-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/waldner-2021-leo/waldner-2021-leo-preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/waldner-2021-leo/", "__class": "Publication" }, { "id": "cardoso-2021-cost", "type_id": "inproceedings", "tu_id": 301688, "repositum_id": null, "title": "Cost Volume Refinement for Depth Prediction", "date": "2021-01-10", "abstract": "Light-field cameras are becoming more popular in\nthe consumer market. Their data redundancy allows, in theory,\nto accurately refocus images after acquisition and to predict the\ndepth of each point visible from the camera. Combined, these\ntwo features allow for the generation of full-focus images, which\nis impossible in traditional cameras.\nMultiple methods for depth prediction from light fields (or\nstereo) have been proposed over the years. A large subset of\nthese methods relies on cost-volume estimates – 3D objects where\neach layer represents a heuristic of whether each point in the\nimage is at a certain distance from the camera. Generally, this\nvolume is used to regress a depth map, which is then refined\nfor better results. In this paper, we argue that refining the cost\nvolumes is superior to refining the depth maps in order to further\nincrease the accuracy of depth predictions. We propose a set of\ncost-volume refinement algorithms and show their effectiveness.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "header", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 217, "image_height": 145, "name": "cardoso-2021-cost-header.jpg", "type": "image/jpeg", "size": 34129, "path": "Publication:cardoso-2021-cost", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-header.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-header:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1639, 1801, 193 ], "booktitle": "Proceedings of the 25th International Conference on Pattern Recognition", "cfp": { "name": "1.html", "type": "text/html", "error": "0", "size": "51497", "orig_name": "1.html", "ext": "html" }, "date_from": "2021-01-10", "date_to": "2021-01-15", "doi": "10.1109/ICPR48806.2021.9412730", "event": "25th International Conference on Pattern Recognition (ICPR)", "isbn": "978-1-7281-8809-6", "lecturer": [ 1639 ], "location": "Milan, Italy", "open_access": "yes", "pages_from": "354", "pages_to": "361", "publisher": "IEEE", "research_areas": [ "Rendering" ], "keywords": [ "depth reconstruction", "light fields", "cost volumes" ], "weblinks": [], "files": [ { "description": "Acknowledgements section added.", "filetitle": "amended-paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "cardoso-2021-cost-amended-paper.pdf", "type": "application/pdf", "size": 11789393, "path": "Publication:cardoso-2021-cost", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-amended-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-amended-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "header", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 217, "image_height": 145, "name": "cardoso-2021-cost-header.jpg", "type": "image/jpeg", "size": 34129, "path": "Publication:cardoso-2021-cost", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-header.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-header:thumb{{size}}.png" }, { "description": null, "filetitle": "original-paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "cardoso-2021-cost-original-paper.pdf", "type": "application/pdf", "size": 11772629, "path": "Publication:cardoso-2021-cost", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-original-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-original-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "EVOCATION" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/", "__class": "Publication" }, { "id": "perl_oskar_2021_DVR", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Distributed Multi-User VR With Full-Body Avatars", "date": "2021-01-10", "abstract": "Social Virtual Reality applications have the potential to provide a unique way to convey a sense of social presence when compared with other ways of communication in the area of computer mediated communication. Having a virtual body in a social Virtual Reality application can not only heighten the sense of embodiment of the user but can also convey a sense of presence to other users. General interest in social virtual reality applications is rising partly due to virtual reality devices become more affordable, including input technologies like hand tracking. This thesis aims to create a multi-user Virtual Reality application that heightens social presence by representing users with a full-body avatar utilizing current entry level consumer grade virtual reality hardware. Hand tracking in combination with inverse kinematics is used to enhance perceived social presence. Those technologies provide a sufficiently convincing representation of the performed action of the user in a multi user context, while being significantly less cumbersome as solutions using additional trackers or controllers to realize a full body avatar.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1319, "image_height": 590, "name": "perl_oskar_2021_DVR-image.PNG", "type": "image/png", "size": 859897, "path": "Publication:perl_oskar_2021_DVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/perl_oskar_2021_DVR/perl_oskar_2021_DVR-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/perl_oskar_2021_DVR/perl_oskar_2021_DVR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1831 ], "date_end": "2021", "date_start": "2020", "matrikelnr": "01625757", "supervisor": [ 1945 ], "research_areas": [ "VR" ], "keywords": [ "virtual reality; multi-user; hand tracking; Inverse Kinematics" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1319, "image_height": 590, "name": "perl_oskar_2021_DVR-image.PNG", "type": "image/png", "size": 859897, "path": "Publication:perl_oskar_2021_DVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/perl_oskar_2021_DVR/perl_oskar_2021_DVR-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/perl_oskar_2021_DVR/perl_oskar_2021_DVR-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "perl_oskar_2021_DVR-thesis.pdf", "type": "application/pdf", "size": 5144298, "path": "Publication:perl_oskar_2021_DVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/perl_oskar_2021_DVR/perl_oskar_2021_DVR-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/perl_oskar_2021_DVR/perl_oskar_2021_DVR-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vr" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/perl_oskar_2021_DVR/", "__class": "Publication" }, { "id": "Mirzaei_Mohammad-2021", "type_id": "inproceedings", "tu_id": 298519, "repositum_id": "20.500.12708/58545", "title": "Multi-modal Spatial Object Localization in Virtual Reality for Deaf and Hard-of-Hearing People", "date": "2021", "abstract": "Information visualization techniques play an important role in Virtual Reality (VR) because they improve task performance, support cognitive processes, and eventually increase the feeling of immersion. Deaf and Hard-of-Hearing (DHH) persons have special needs for information presentation because they feel and perceive VR environments differently. Therefore, it is necessary to pay attention to requirements about presenting information in VR for this group of users. Previous research showed that adding special features and using haptic methods helps DHH persons to do VR tasks better. In this paper, we propose a novel Omni-directional particle visualization method and also evaluate multi-modal presentation methods in VR for DHH persons, such as audio, visual, haptic, and a combination of them (AVH). Additionally, we compare the results with the results of persons without hearing problems. The methods for information presentation in our study focus on spatial object localization in VR. Our user studies show that both DHH persons and persons without hearing problems were able to do VR tasks significantly faster using AVH. Also, we found out that DHH persons can do visual-related VR tasks faster than persons without hearing problems by using our new proposed visualization method. Our results suggest that the benefits of using audio among persons without hearing problems and the benefits of using vision among DHH persons cause an interesting balance in the results of AVH between both groups. Finally, our qualitative and quantitative evaluation indicates that both groups of participants preferred and enjoyed AVH modality more than other modalities.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "directional_visualization", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 755, "image_height": 650, "name": "Mirzaei_Mohammad-2021-directional_visualization.jpg", "type": "image/jpeg", "size": 217348, "path": "Publication:Mirzaei_Mohammad-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohammad-2021/Mirzaei_Mohammad-2021-directional_visualization.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohammad-2021/Mirzaei_Mohammad-2021-directional_visualization:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1803, 1720, 378 ], "booktitle": "IEEE Virtual Reality and 3D User Interfaces (VR)", "doi": "10.1109/VR50410.2021.00084", "event": "IEEE VR 2021", "pages": "9", "pages_from": "588", "pages_to": "596", "publisher": "IEEE Computer Society", "research_areas": [], "keywords": [ "Virtual Reality", "Information Presentation", "Visualization Techniques", "Spatial Object Localization", "Deaf and Hard-of- Hearing" ], "weblinks": [], "files": [ { "description": null, "filetitle": "directional_visualization", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 755, "image_height": 650, "name": "Mirzaei_Mohammad-2021-directional_visualization.jpg", "type": "image/jpeg", "size": 217348, "path": "Publication:Mirzaei_Mohammad-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohammad-2021/Mirzaei_Mohammad-2021-directional_visualization.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohammad-2021/Mirzaei_Mohammad-2021-directional_visualization:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohammad-2021/", "__class": "Publication" }, { "id": "Mirzaei_Mohammad-2021-HeadUp", "type_id": "inproceedings", "tu_id": 298516, "repositum_id": "20.500.12708/58544", "title": "Head Up Visualization of Spatial Sound Sources in Virtual Reality for Deaf and Hard-of-Hearing People", "date": "2021", "abstract": "This paper presents a novel method for the visualization of 3D spatial sounds in Virtual Reality (VR) for Deaf and Hard-of-Hearing (DHH) people. Our method enhances traditional VR devices with additional haptic and visual feedback, which aids spatial sound localization. The proposed system automatically analyses 3D sound from VR application, and it indicates the direction of sound sources to a user by two Vibro-motors and two Light-Emitting Diodes (LEDs). The benefit of automatic sound analysis is that our method can be used in any VR application without modifying the application itself. We evaluated the proposed method for 3D spatial sound visualization in a user study. Additionally, the conducted user study investigated which condition (corresponding to different senses) leads to faster performance in 3D sound localization task. For this purpose, we compared three conditions: haptic feedback only, LED feedback only, combined haptic and LED feedback. Our study results suggest that DHH participants could complete sound-related VR tasks significantly faster using LED and haptic+LED conditions in comparison to only haptic feedback. The presented method for spatial sound visualization can be directly used to enhance VR applications for use by DHH persons, and the results of our user study can serve as guidelines for the future design of accessible VR systems.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Head up display extended with a LEDs (on both sides) for indicating direction of incoming sound", "filetitle": "head-up", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 595, "image_height": 362, "name": "Mirzaei_Mohammad-2021-HeadUp-head-up.jpg", "type": "image/jpeg", "size": 210940, "path": "Publication:Mirzaei_Mohammad-2021-HeadUp", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohammad-2021-HeadUp/Mirzaei_Mohammad-2021-HeadUp-head-up.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohammad-2021-HeadUp/Mirzaei_Mohammad-2021-HeadUp-head-up:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1803, 1720, 378 ], "booktitle": "IEEE Virtual Reality and 3D User Interfaces (VR)", "doi": "10.1109/VR50410.2021.00083", "event": "IEEE VR 2021", "pages": "6", "pages_from": "582", "pages_to": "587", "publisher": "IEEE Computer Society", "research_areas": [], "keywords": [ "Virtual Reality", "Haptic", "Vision", "Sound Localization", "Deaf", "Hard-of-Hearing" ], "weblinks": [], "files": [ { "description": "Head up display extended with a LEDs (on both sides) for indicating direction of incoming sound", "filetitle": "head-up", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 595, "image_height": 362, "name": "Mirzaei_Mohammad-2021-HeadUp-head-up.jpg", "type": "image/jpeg", "size": 210940, "path": "Publication:Mirzaei_Mohammad-2021-HeadUp", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohammad-2021-HeadUp/Mirzaei_Mohammad-2021-HeadUp-head-up.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohammad-2021-HeadUp/Mirzaei_Mohammad-2021-HeadUp-head-up:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohammad-2021-HeadUp/", "__class": "Publication" }, { "id": "Mirzaei_Mohhamad-2021", "type_id": "journalpaper_notalk", "tu_id": 298522, "repositum_id": "20.500.12708/138107", "title": "Effects of Using Vibrotactile Feedback on Sound Localization by Deaf and Hard-of-Hearing People in Virtual Environments", "date": "2021", "abstract": "Sound source localization is important for spatial awareness and immersive Virtual Reality (VR) experiences. Deaf and Hard-of-Hearing (DHH) persons have limitations in completing sound-related VR tasks efficiently because they perceive audio information differently. This paper presents and evaluates a special haptic VR suit that helps DHH persons efficiently complete sound-related VR tasks. Our proposed VR suit receives sound information from the VR environment wirelessly and indicates the direction of the sound source to the DHH user by using vibrotactile feedback. Our study suggests that using different setups of the VR suit can significantly improve VR task completion times compared to not using a VR suit. Additionally, the results of mounting haptic devices on different positions of users´ bodies indicate that DHH users can complete a VR task significantly faster when two vibro-motors are mounted on their arms and ears compared to their thighs. Our quantitative and qualitative analysis demonstrates that DHH persons prefer using the system without the VR suit and prefer mounting vibro-motors in their ears. In an additional study, we did not find a significant difference in task completion time when using four vibro-motors with the VR suit compared to using only two vibro-motors in users´ ears without the VR suit.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "HapticSuit", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 670, "image_height": 697, "name": "Mirzaei_Mohhamad-2021-HapticSuit.jpg", "type": "image/jpeg", "size": 212299, "path": "Publication:Mirzaei_Mohhamad-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohhamad-2021/Mirzaei_Mohhamad-2021-HapticSuit.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohhamad-2021/Mirzaei_Mohhamad-2021-HapticSuit:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1803, 1720, 378 ], "doi": "10.3390/electronics10222794", "journal": "Electronics", "number": "22", "open_access": "yes", "pages_from": "1", "pages_to": "14", "volume": "10", "research_areas": [], "keywords": [ "virtual reality", "haptic feedback", "tactile sensation", "sound source localization", "deaf and hard-of-hearing" ], "weblinks": [ { "href": "https://www.mdpi.com/2079-9292/10/22/2794", "caption": "Paper link", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "HapticSuit", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 670, "image_height": 697, "name": "Mirzaei_Mohhamad-2021-HapticSuit.jpg", "type": "image/jpeg", "size": 212299, "path": "Publication:Mirzaei_Mohhamad-2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohhamad-2021/Mirzaei_Mohhamad-2021-HapticSuit.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohhamad-2021/Mirzaei_Mohhamad-2021-HapticSuit:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohhamad-2021/", "__class": "Publication" }, { "id": "Podkosova_2021", "type_id": "talk", "tu_id": 299069, "repositum_id": "20.500.12708/58575", "title": "Exploring behaviour towards avatars and agents in immersive virtual environments with mixed-agency interactions", "date": "2021", "abstract": "Immersive virtual environments (IVEs) in which multiple users nav-\n igate by walking and interact with each other in natural ways are\n perfectly suited for team applications from training to recreation. At\n the same time, they can solve scheduling conflicts by employing\n virtual agents in place of missing team members or additional par-\n ticipants of a scenario. While this idea has been long discussed in\n IVEs research there are no prior publications on social interactions\n in systems with multiple embodied users and agents. This paper\n presents an experiment at a work-in-progress stage that addresses\n the impact of perceived agency and control of a virtual character in\n a collaborative scenario with two embodied users and one virtual\n agent. Our future study will investigate whether users treat avatars\n and agents differently within a mixed-agency scenario, analysing\n several behavioural metrics and self-report of participants", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1945, 1912, 1913, 1914, 1740 ], "date_from": "2021-03-27", "date_to": "2021-04-01", "doi": "10.1109/VRW52623.2021.00033", "event": "IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops", "lecturer": [ 1945 ], "location": "Lisbon, Portugal", "research_areas": [], "keywords": [ "Collaborative Virtual Reality", "Avatars", "Virtual Agents" ], "weblinks": [ { "href": "https://publik.tuwien.ac.at/files/publik_299069.pdf", "caption": "Paper link", "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Podkosova_2021/", "__class": "Publication" }, { "id": "Reisinger_Julia-2021-parametricscript", "type_id": "inproceedings", "tu_id": 296846, "repositum_id": "20.500.12708/62967", "title": "Framework proposal for automated generation of production layout scenarios: A parametric design technique to connect production planning and structural industrial building design", "date": "2021", "abstract": "To increase the flexibility and expandability of production plants the focus needs to be on a coherent planning of the production layout and building systems. The frequent reconfiguration of production layouts bears challenges on the load-bearing structure of industrial buildings, decreasing the building service life due to rescheduling or demolition. Currently there is no method established to integrate production layout planning into structural building design processes. In this paper, a novel parametric generative design method for automated production layout generation and optimisation (PLGO) is presented, producing layout scenarios to be respected in structural building design. Results of a state-of-the-art analysis and a case study methodology are combined to develop a novel concept of integrated production cubes (IPC). The IPC concept is translated into a parametric PLGO framework, which is tested on a pilot-project of a food-and hygiene production facility and the defined objectives and constraints are validated.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Production layout", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 286, "image_height": 226, "name": "Reisinger_Julia-2021-parametricscript-Production layout.jpg", "type": "image/jpeg", "size": 61797, "path": "Publication:Reisinger_Julia-2021-parametricscript", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger_Julia-2021-parametricscript/Reisinger_Julia-2021-parametricscript-Production layout.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger_Julia-2021-parametricscript/Reisinger_Julia-2021-parametricscript-Production layout:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1874, 1875, 1799, 1720, 1876 ], "booktitle": "EG-ICE 2021 Workshop on Intelligent Computing in Engineering", "date_from": "2021-06-30", "date_to": "2021-07-02", "doi": "10.14279/depositonce-12021", "event": "28th EG-ICE International Workshop on Intelligent Computing in Engineering 2021", "isbn": "978-3-7983-3212-6", "location": "Berlin, Deutschland", "pages": "12", "pages_from": "22", "pages_to": "33", "publisher": "Universitätsverlag der TU Berlin", "research_areas": [], "keywords": [ "Parametric modelling", "multi-objective optimisation", "production layout planning", "automated layout generation", "generative design", "integrated industrial building design" ], "weblinks": [ { "href": "https://publik.tuwien.ac.at/files/publik_296846.pdf", "caption": "Paper link", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Production layout", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 286, "image_height": 226, "name": "Reisinger_Julia-2021-parametricscript-Production layout.jpg", "type": "image/jpeg", "size": 61797, "path": "Publication:Reisinger_Julia-2021-parametricscript", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger_Julia-2021-parametricscript/Reisinger_Julia-2021-parametricscript-Production layout.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger_Julia-2021-parametricscript/Reisinger_Julia-2021-parametricscript-Production layout:thumb{{size}}.png" } ], "projects_workgroups": [ "BimFlexi" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger_Julia-2021-parametricscript/", "__class": "Publication" }, { "id": "Reisinger-2021-JOBE", "type_id": "journalpaper_notalk", "tu_id": 298813, "repositum_id": "20.500.12708/138206", "title": "Integrated multi-objective evolutionary optimization of production layout scenarios for parametric structural design of flexible industrial buildings", "date": "2021", "abstract": "Due to product individualization, customization and rapid technological advances in manufacturing, production systems are faced with frequent reconfiguration and expansion. Industrial buildings that allow changing production scenarios require flexible load-bearing structures and a coherent planning of the production layout and building systems. Yet, current production planning and structural building design are mostly sequential and the data and models lack interoperability. In this paper, a novel parametric evolutionary design method for automated production layout generation and optimization (PLGO) is presented, producing layout scenarios to be respected in structural building design. Results of a state-of-the-art analysis and a case study are combined to develop a novel concept of integrated production cubes and the design space for PLGO as basis for a parametric production layout design method. The integrated production cubes concept is then translated into a parametric PLGO framework, which is tested on a pilot-project of a hygiene production facility to evaluate the framework and validate the defined constraints and objectives. Results suggest that our framework can produce feasible production layout scenarios which respect flexibility and building requirements. In future research the design process will be extended by the development of a multi-objective evolutionary optimization process for industrial buildings to provide flexible building solutions that can accommodate a selection of several prioritized production layouts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "IPC", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 616, "image_height": 523, "name": "Reisinger-2021-JOBE-IPC.jpg", "type": "image/jpeg", "size": 146214, "path": "Publication:Reisinger-2021-JOBE", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger-2021-JOBE/Reisinger-2021-JOBE-IPC.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger-2021-JOBE/Reisinger-2021-JOBE-IPC:thumb{{size}}.png" }, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1874, 1875, 1799, 1720, 1876, 378 ], "doi": "10.1016/j.jobe.2021.103766", "issn": "2352-7102", "journal": "Journal of Building Engineering", "number": "103766", "pages_from": "1", "pages_to": "18", "volume": "46", "research_areas": [], "keywords": [ "Parametric modelling", "Multi-objective optimization", "Layout planning", "Automated production layout generation", "Evolutionary algorithm", "Integrated industrial building design" ], "weblinks": [ { "href": "https://www.sciencedirect.com/science/article/pii/S2352710221016247?via%3Dihub", "caption": "Paper link", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "IPC", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 616, "image_height": 523, "name": "Reisinger-2021-JOBE-IPC.jpg", "type": "image/jpeg", "size": 146214, "path": "Publication:Reisinger-2021-JOBE", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger-2021-JOBE/Reisinger-2021-JOBE-IPC.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger-2021-JOBE/Reisinger-2021-JOBE-IPC:thumb{{size}}.png" } ], "projects_workgroups": [ "BimFlexi" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger-2021-JOBE/", "__class": "Publication" }, { "id": "Honic_2021", "type_id": "techreport", "tu_id": 299184, "repositum_id": "20.500.12708/40378", "title": "SCI_BIM Scanning and data capturing for Integrated Resources and Energy Assessment using Building Information Modelling", "date": "2021", "abstract": "Due to the rapidly increasing consumption of resources and land worldwide, as well as the growing generation of waste, the building stock plays a crucial role not only for the reduction of the energy \n consumption, but also as a future source of materials (urban mining). However, there is a lack of information on the detailed material composition of the building stock, which is the main obstacle for \n modelling and predicting its future use. Therefore, the main research question is whether the use of the digital technologies \"Laser Scanning\" and \"Ground Penetrating Radar\" (GPR) as well as a \n gamification concept, enable to develop and maintain a digital twin (BIM model) which serves as a basis for urban mining.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1798, 1799, 1904, 1905, 1906, 1907, 1908, 1800, 193, 1909, 1910, 1911, 240, 1720 ], "number": "TR-193-02-2021-2", "open_access": "yes", "pages": "62", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Honic_2021/", "__class": "Publication" }, { "id": "schlager-2021-ddo", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/18679", "title": "Design and development of an immersive collaborative geographical environment for tactical decision-making", "date": "2021", "abstract": "Planning tactical and strategical military operations is a well-structured and complex process and involves interdisciplinary expertise. A crucial part of the decision-making process of planning tasks that contains geographical data, is familiarizing professionals with the terrain and surrounding infrastructure. This is commonly operated by analog planning tools such as terrain models, sand tables, and standard 2D paper maps. The shortcoming of traditional equipment for tactical analysis is the lack of intuitive transfer of spatial relationships and geographical structures for visibility tasks and height judgment of ground elements. Immersive Virtual Geographical Environments (VGEs) provide advantageous perspectives for rapid decision-making and reasoning in spatial structures. 2D displays offer a 2D impression of a reduced 3D environment, while immersive displays transfer true depth information. Further, digital planning tools support remote collaboration using a virtual task space for the planning process. A virtual task space has several benefits compared to analog equivalents, such as the option to save planning states, visualize a common mental concept, no physical boundaries, and increased engagement.In this thesis, we set out to investigate how to utilize the benefits of immersive virtual spaces for tactical planning and decision-making in the context of a military staff exercise, to overcome the limitations of current analog and 2D digital planning tools. We design and implement a collaborative Virtual Reality (VR) prototype based on requirements derived from observations of an on-site military staff training and unstructured interviews with consultants from the Austrian Institute for Military Geography (IMG). The key contribution of this thesis is the design, implementation, and evaluation of a VR prototype that supports the decision-making and mission planning for officers in training and commanders during a military staff training. The development of our prototype represents a case study for comparable planning tasks in other domains, such as space missions or disaster prevention management.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5222 ], "doi": "10.34726/hss.2021.91667", "open_access": "yes", "pages": "103", "supervisor": [ 378 ], "research_areas": [], "keywords": [ "Virtual Reality (VR)", "Geographic Information System (GIS)", "Collaborative Virtual Environment (CVE)", "Staff Training" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "schlager-2021-ddo-thesis.pdf", "type": "application/pdf", "size": 12703717, "path": "Publication:schlager-2021-ddo", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/schlager-2021-ddo/schlager-2021-ddo-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/schlager-2021-ddo/schlager-2021-ddo-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/schlager-2021-ddo/", "__class": "Publication" }, { "id": "amirkhanov-2021-diss", "type_id": "phdthesis", "tu_id": 301689, "repositum_id": "20.500.12708/19584", "title": "Visual Analysis of Defects", "date": "2021", "abstract": "In everyday life, we use many objects on which we rely and expect them to work correctly. We use phones to communicate with friends, bicycles to commute, payment cards to buy groceries. However, due to defects, these objects may fail at some time, leading to adverse outcomes. Modern industry continually improves the quality of outputs (e.g., products and services) and ensures that they meet their specifications. A common quality management strategy is the defect analysis used to identify and control outputs that do not conform to their specifications. Traditional defect analysis methods are often manual and, therefore, time-consuming procedures. To build more efficient solutions, defect analysis increasingly employs visual analytics techniques. These techniques automatize and enhance the up-to-now manual analysis steps and support new visual approaches for defect representations that resolve existing defects without introducing new ones. In this dissertation, visual analytics techniques applied to defect analysis are referred to as visual analysis of defects. Being a rapidly developing area, the domain of visual analysis of defects is still missing a formalized basis.\n\nThis dissertation presents and discusses a workflow for the visual analysis of defects based on the plan-do-check-act cycle of continual improvement. The workflow consists of four steps: defect prevention, control of defective outputs, performance evaluation, and improvement. During the defect prevention step, domain experts plan the design and development processes to ensure that intended results can be achieved while forecasting risks and opportunities. During the control of defective outputs step, domain experts implement the processes and control defects arising throughout these processes. During the performance evaluation step, domain experts ensure that defective outputs are identified by measuring the object's characteristics. During the improvement step, domain experts explore possible actions that improve the object quality.\n\nThis dissertation presents four solutions that advance the visual analysis of defects at the four distinct steps of the workflow. The first solution corresponds to the defect prevention step and provides a preview of dental treatment. It helps dental technicians to identify the most suitable treatment option and avoid cases when patients are unsatisfied with the results due to poor denture aesthetics. The second solution corresponds to the control of defective outputs step and supports dental technicians in designing aesthetic and functional dentures. The approach provides immediate visual feedback on a change in the denture design, which helps to evaluate how the change affects aesthetics. The third solution corresponds to the performance evaluation step and supports material engineers in investigating the damage mechanism in composite materials. First, the system captures and measures various defects such as matrix fracture, fiber/matrix debonding, fiber pull-out, and fiber fracture. Later, users analyze these defects using several interactive visualization techniques. The fourth solution corresponds to the improvement step and visualizes 4D dynamical systems describing various phenomena. The solution enables the 4D representation of dynamical systems and allows the 4D representation to seamlessly transition into, familiar to the user, lower-dimensional plots.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1731, "image_height": 1726, "name": "amirkhanov-2021-diss-teaser.jpg", "type": "image/jpeg", "size": 119695, "path": "Publication:amirkhanov-2021-diss", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/amirkhanov-2021-diss-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/amirkhanov-2021-diss-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1170 ], "co_supervisor": [ 869, 611 ], "date_end": "2021", "date_start": "2014", "doi": "10.34726/hss.2022.99023", "open_access": "yes", "pages": "178", "reviewer_1": [ 1711 ], "reviewer_2": [ 563 ], "rigorosum": "2021-10-18", "supervisor": [ 166 ], "research_areas": [ "MedVis", "VisMat" ], "keywords": [ "visualization", "visual analytics", "defect analysis", "dentistry", "material science", "mathematical visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Dissertation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "amirkhanov-2021-diss-Dissertation.pdf", "type": "application/pdf", "size": 12790468, "path": "Publication:amirkhanov-2021-diss", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/amirkhanov-2021-diss-Dissertation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/amirkhanov-2021-diss-Dissertation:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1731, "image_height": 1726, "name": "amirkhanov-2021-diss-teaser.jpg", "type": "image/jpeg", "size": 119695, "path": "Publication:amirkhanov-2021-diss", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/amirkhanov-2021-diss-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/amirkhanov-2021-diss-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "Smile Analytics" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/", "__class": "Publication" }, { "id": "belo-2021-XRG", "type_id": "inproceedings", "tu_id": 294824, "repositum_id": "20.500.12708/58440", "title": "XRgonomics: Facilitating the Creation of Ergonomic 3D Interfaces", "date": "2021", "abstract": "Arm discomfort is a common issue in Cross Reality applications involving prolonged mid-air interaction. Solving this problem is\n difficult because of the lack of tools and guidelines for 3D user interface design. Therefore, we propose a method to make existing\n ergonomic metrics available to creators during design by estimating the interaction cost at each reachable position in the user´s\n environment. We present XRgonomics, a toolkit to visualize the interaction cost and make it available at runtime, allowing creators\n to identify UI positions that optimize users´ comfort. Two scenarios show how the toolkit can support 3D UI design and dynamic\n adaptation of UIs based on spatial constraints. We present results from a walkthrough demonstration, which highlight the potential of\n XRgonomics to make ergonomics metrics accessible during the design and development of 3D UIs. Finally, we discuss how the toolkit\n may address design goals beyond ergonomics.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1821, 1822, 1823, 1824 ], "booktitle": "CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems", "doi": "10.1145/3411764.3445349", "event": "2021 CHI Conference on Human Factors in Computing Systems", "pages": "11", "pages_to": "10", "publisher": "ACM Digital Library", "research_areas": [], "keywords": [ "Virtual reality", "3D User Interfaces", "Graphical user interfaces", "Human-centered computing", "Mixed / augmented reality", "Systems and tools for interaction design", "Accessibility design and evaluation methods", "Walkthrough evaluations", "Ergonomics", "Toolkit" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/belo-2021-XRG/", "__class": "Publication" }, { "id": "fourousan2021", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/17529", "title": "Visual Analytics for the Exploration of Cultural Models", "date": "2021", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1889 ], "date_end": "2021", "date_start": "2020", "diploma_examina": "2021-04-14", "doi": "10.34726/hss.2021.72580", "matrikelnr": "01429718", "pages": "172", "supervisor": [ 1410 ], "research_areas": [ "InfoVis" ], "keywords": [ "Visualization", "Cultural Models" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "fourousan2021-thesis.pdf", "type": "application/pdf", "size": 6602504, "path": "Publication:fourousan2021", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/fourousan2021/fourousan2021-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/fourousan2021/fourousan2021-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/fourousan2021/", "__class": "Publication" }, { "id": "Kan_Peter-2021-BuildingMonitoring", "type_id": "inproceedings", "tu_id": 298512, "repositum_id": "20.500.12708/58543", "title": "Building Information Monitoring via Gamification", "date": "2021", "abstract": "For efficient facility management it is of high importance to monitor building information, such as energy consumption, indoor temperature, occupancy as well as changes in building structure. In this paper we present a novel methodology for monitoring information about building via gamification. In our approach, the employees of a facility record the states of building elements by playing a competitive mobile game. Traditionally, external sensors are used to automatically collect information about the building usage. In contrast to that, our methodology utilizes personal mobile phones of employees as sensors to identify objects of interest and report their state. Moreover, we propose to use crowdsourcing as a tool for data collection. This way the users of the mobile game are collecting points and compete with each other. At the end of the game the winning team gets the reward. We utilized various gamification strategies to increase motivation of users to collect building data. We ex tended the traditional 3D BIM model with temporal domain to enable tracking of building changes over time. Finally, we run an experiment with real use case building in which the employees used our system for the duration of three months. We studied our approach and our motivation strategies in a post-experiment study. Our results suggest that gamification can be a viable tool for building information monitoring. Additionally, we note that motivation plays a critical role in the data acquisition by gamification.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Building information monitoring via gamification - web visualization of measured building properties", "filetitle": "model", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 792, "image_height": 622, "name": "Kan_Peter-2021-BuildingMonitoring-model.jpg", "type": "image/jpeg", "size": 306766, "path": "Publication:Kan_Peter-2021-BuildingMonitoring", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-BuildingMonitoring/Kan_Peter-2021-BuildingMonitoring-model.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-BuildingMonitoring/Kan_Peter-2021-BuildingMonitoring-model:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1720, 240, 1798, 1799 ], "booktitle": "Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP", "doi": "10.5220/0010288902610270", "event": "GRAPP 2021", "isbn": "978-989-758-488-6", "pages": "10", "pages_from": "261", "pages_to": "270", "publisher": "SciTePress", "research_areas": [], "keywords": [ "Gamification", "Building Monitoring", "Building Information Modeling", "Spatial Localization", "3D Visualization", "Mobile Applications", "Crowdsourcing" ], "weblinks": [ { "href": "https://www.scitepress.org/Papers/2021/102889/102889.pdf", "caption": "Paper link", "description": null, "main_file": 1 } ], "files": [ { "description": "Building information monitoring via gamification - web visualization of measured building properties", "filetitle": "model", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 792, "image_height": 622, "name": "Kan_Peter-2021-BuildingMonitoring-model.jpg", "type": "image/jpeg", "size": 306766, "path": "Publication:Kan_Peter-2021-BuildingMonitoring", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-BuildingMonitoring/Kan_Peter-2021-BuildingMonitoring-model.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-BuildingMonitoring/Kan_Peter-2021-BuildingMonitoring-model:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-BuildingMonitoring/", "__class": "Publication" }, { "id": "Kan_Peter-2021-MDPI", "type_id": "journalpaper_notalk", "tu_id": 298527, "repositum_id": "20.500.12708/138110", "title": "Automatic Interior Design in Augmented Reality Based on Hierarchical Tree of Procedural Rules", "date": "2021", "abstract": "Augmented reality has a high potential in interior design due to its capability of visualizing numerous prospective designs directly in a target room. In this paper, we present our research on utilization of augmented reality for interactive and personalized furnishing. We propose a new algorithm for automated interior design which generates sensible and personalized furniture configurations. This algorithm is combined with mobile augmented reality system to provide a user with an interactive interior design try-out tool. Personalized design is achieved via a recommender system which uses user preferences and room data as input. We conducted three user studies to explore different aspects of our research. The first study investigated the user preference between augmented reality and on-screen visualization for interactive interior design. In the second user study, we studied the user preference between our algorithm for automated interior design and optimization-based algorithm. Finally, the third study evaluated the probability of sensible design generation by the compared algorithms. The main outcome of our research suggests that augmented reality is viable technology for interactive home furnishing.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "ARDesign", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1001, "image_height": 678, "name": "Kan_Peter-2021-MDPI-ARDesign.jpg", "type": "image/jpeg", "size": 373887, "path": "Publication:Kan_Peter-2021-MDPI", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-MDPI/Kan_Peter-2021-MDPI-ARDesign.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-MDPI/Kan_Peter-2021-MDPI-ARDesign:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1720, 1872, 923, 1873 ], "doi": "10.3390/electronics10030245", "journal": "Electronics", "number": "3", "open_access": "yes", "pages_from": "1", "pages_to": "17", "volume": "10", "research_areas": [ "VR" ], "keywords": [ "interior design", "augmented reality", "3D content generation", "user study", "personalized recommender" ], "weblinks": [ { "href": "https://www.mdpi.com/2079-9292/10/3/245", "caption": "Paper link", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "ARDesign", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1001, "image_height": 678, "name": "Kan_Peter-2021-MDPI-ARDesign.jpg", "type": "image/jpeg", "size": 373887, "path": "Publication:Kan_Peter-2021-MDPI", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-MDPI/Kan_Peter-2021-MDPI-ARDesign.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-MDPI/Kan_Peter-2021-MDPI-ARDesign:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-MDPI/", "__class": "Publication" }, { "id": "koessler-2021-i3d", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/16973", "title": "Interactive 3D dense surface exploration in immersive virtual reality", "date": "2021", "abstract": "Dense 3D reconstructions of real-world environments become wide spread and are foreseen to act as data base to solve real world problems, such as remote inspections. Therefore not only scene viewing is required but also the ability to interact with the environment,such as selection of a user-defined part of the reconstruction for later usage. However, inter-object occlusion is inherent to large dense 3D reconstructions, due to scene geometry or reconstruction artifacts that might result in object containment. Since prior art lacks approaches for occlusion management in environments that consist of one or multiple(large) continuous surfaces, we propose the novel technique Large Scale Cut Plane that enables segmentation and subsequent selection of visible, partly or fully occluded patches within a large 3D reconstruction, even at far distance. An immersive Virtual reality setup consisting of a Head-Mounted Display, a locomotion device (omni-directional treadmill)and a 6DOF-hand-tracking device are combined with the Large Scale Cut Plane technique to foster 3D scene understanding and natural user interactions. We furthermore present results from a user study where we investigate performance and usability of our proposed technique compared to a baseline technique. Our results indicate Large Scale Cut Plane to be superior in terms of speed and precision, while we found need of improvement of the user interface.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1101 ], "doi": "10.34726/hss.2021.28546", "open_access": "yes", "pages": "72", "supervisor": [ 378 ], "research_areas": [], "keywords": [ "Virtual Reality", "3D Interaction", "Oclulus Rift", "Virtualizer", "Interactive Scene Exploration" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "koessler-2021-i3d-thesis.pdf", "type": "application/pdf", "size": 2008553, "path": "Publication:koessler-2021-i3d", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/koessler-2021-i3d/koessler-2021-i3d-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/koessler-2021-i3d/koessler-2021-i3d-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/koessler-2021-i3d/", "__class": "Publication" }, { "id": "Pahr2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/16617", "title": "Vologram: Educational Craftworks for Volume Physicalization", "date": "2020-22-24", "abstract": "Long before the onset of computer technology, anatomical sculptures were already used for educational purposes. Digital imaging technology and its incorporation into the clinical workflow through the advancements of medical visualization led to a steady decline in the use of sculpture-based teaching aids. Currently, anatomical volume visualizations are predominantly presented on computer screens. Recent developments in augmented, mixed, and virtual reality o˙er new, exciting ways to digitally display medical imaging data. In recent years, the application of real-world sculptures to display patient imaging data has seen a resurgence through the field of data physicalization. Predominantly, it has been used to enhance the education of medical personnel and laymen through the use of physical models. Expensive 3D printing technology is often employed in the creation of high fidelity anatomical sculptures, with realistic look-and-feel. However, few approaches make use of a˙ordable physicalizations in the field of layman anatomical education.\nIn the course of this thesis di˙erent ways to introduce self-made, custom physical-izations into layman medical education are explored. We propose a suitable concept, the Vologram, to display medical volume data in a visually appealing way for medical non-experts. This takes the form of slide-based sculptures, made out of a˙ordable ma-terials available to the general public with a high degree of interactivity, and can be produced through commonly available means. To support a customizable workflow in the creation of these sculptures, we provide a stand-alone desktop application, which allows layman users to create custom educational sculptures. Real medical imaging data can be filtered and displayed in di˙erent ways, delivering optically diverse results. We evaluate the concept in a small scale study, to determine the e˙ect of interactive medical visualizations as opposed to physicalizations on the target audience. The results of this study point to a great potential for the application of interactive educational concepts for layman anatomical education.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 228, "image_height": 213, "name": "Pahr2020-Image.JPG", "type": "image/jpeg", "size": 15174, "path": "Publication:Pahr2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1813 ], "co_supervisor": [ 1464 ], "date_end": "2020-11-24", "date_start": "2020-01-12", "diploma_examina": "2020-11-29", "doi": "10.34726/hss.2021.79540", "matrikelnr": "0906438", "open_access": "yes", "pages": "131", "supervisor": [ 166 ], "research_areas": [ "Modeling" ], "keywords": [ "Phyiscalizations", "Anatomy Education" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 228, "image_height": 213, "name": "Pahr2020-Image.JPG", "type": "image/jpeg", "size": 15174, "path": "Publication:Pahr2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Pahr2020-Master Thesis.pdf", "type": "application/pdf", "size": 4742026, "path": "Publication:Pahr2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Pahr2020-Poster.pdf", "type": "application/pdf", "size": 4546791, "path": "Publication:Pahr2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/", "__class": "Publication" }, { "id": "Ortner_PhD", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/18026", "title": "Tight Integration of Visual Analysis and 3D Real-Time Rendering", "date": "2020-12-29", "abstract": "In many domains, such as urban planning, civil engineering, or disaster management, analysts\nneed to deal with complex geometric data that also contain multivariate attributes. In addition to\nthe visual analysis of the attribute data, typical tasks involve the localization and understanding\nof shapes, and judging spatial relations between geometric objects and the surrounding geometry,\nas for instance a digital terrain model. One way to address this in a visualization design is with\ncoordinated multiple views, combining a 3D geometric view and attribute views by brushing\n& linking. However, a naive coordination of such views highlights challenges inherent to 3D\nvisualization, as brushed objects may be occluded or lie outside of the current viewing volume.\nThis can easily lead to disorientation and failing of localization, shape understanding, and spatial\nrelation tasks, which ultimately breaks the iterative analysis loop provided through coordinated\nmultiple views.\nIn this thesis we explore different visual integration approaches for combining geometric and\nattribute views with respect to three application domains. In the first chapter, we deal with the\ndomain of tunnel inspection and documentation, concerned with revealing patterns in tunnel\ncrack data. We integrate a 3D geometric view with multiple attribute views to a coordinated\nmultiple view solution and present several domain-specific visualization and interaction strategies\nto overcome the aforementioned challenges. We conclude the chapter with a methodological\nframework that provides visualization designers with integration guidelines regarding ‘Guided\nNavigation’, ‘Enhanced Geometric Rendering’, and ‘Similarity-based Analysis’.\nIn the second chapter, we explore the potential visual impact of candidate buildings to a cityscape\nin the context of visibility-aware urban planning. We present the visualization system Vis-A-Ware\nto qualitatively and quantitatively evaluate and compare visibility data of candidate buildings\nwith respect to a large number of viewpoints. Vis-A-Ware features a 3D view of an urban scene\nand a novel ranking view to compare and filter candidates with respect to visual impact data\nderived from visibility evaluations. The ranking view is tightly integrated with the other views\nfor qualitative evaluation and to judge spatial relations in the cityscape. We provide users with a\nworkflow to ultimately arrive at a small set of candidates supporting a jury-based decision-making\nprocess.\nIn the third chapter, we are concerned with the domain of geological analysis of digital outcrop\nmodels (DOMs) which plays an essential role in the current NASA and ESA missions seeking\nsigns of past life on Mars. Geologists interpret and measure DOMs, create sedimentary logs, and\ncombine them in ‘correlation panels’. Currently, the creation of correlation panels is manual and therefore time-consuming, and inflexible. With InCorr we present a visualization solution that\nencompasses a 3D logging tool and an interactive data-driven correlation panel that evolves with\nthe stratigraphic analysis. Correlation panels are an important part of geological publications.\nWith InCorr we provide geologists with an interactive correlation panel that is reproducible and\ntakes significantly less effort to create.\nThe results of this thesis demonstrate that the tight integration of 3D geometric and attribute\nviews is essential for certain domains and needs to be approached in a methodological way with\nthoughtful visualization and interaction design.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 510, "image_height": 341, "name": "Ortner_PhD-image.JPG", "type": "image/jpeg", "size": 47751, "path": "Publication:Ortner_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/Ortner_PhD-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/Ortner_PhD-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1277 ], "doi": "10.34726/hss.2021.92046", "duration": "4", "matrikelnr": "00928153", "open_access": "yes", "pages": "116", "reviewer_1": [ 1690 ], "reviewer_2": [ 1248 ], "rigorosum": "2021-03-12", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [ "Interactive Visualization", "Integration Spatial and Non-Spatial Data Visualization", "Methodology" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 510, "image_height": 341, "name": "Ortner_PhD-image.JPG", "type": "image/jpeg", "size": 47751, "path": "Publication:Ortner_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/Ortner_PhD-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/Ortner_PhD-image:thumb{{size}}.png" }, { "description": null, "filetitle": "PhD thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Ortner_PhD-PhD thesis.pdf", "type": "application/pdf", "size": 59685331, "path": "Publication:Ortner_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/Ortner_PhD-PhD thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/Ortner_PhD-PhD thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/", "__class": "Publication" }, { "id": "AA2020", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2020", "date": "2020-12-03", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Cover", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1755, "image_height": 2481, "name": "AA2020-Cover.jpg", "type": "image/jpeg", "size": 433045, "path": "Publication:AA2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/AA2020/AA2020-Cover.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/AA2020/AA2020-Cover:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1170 ], "research_areas": [ "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Card", "main_file": true, "use_in_gallery": true, "access": "public", "name": "AA2020-Card.pdf", "type": "application/pdf", "size": 8130125, "path": "Publication:AA2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/AA2020/AA2020-Card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/AA2020/AA2020-Card:thumb{{size}}.png" }, { "description": null, "filetitle": "Cover", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1755, "image_height": 2481, "name": "AA2020-Cover.jpg", "type": "image/jpeg", "size": 433045, "path": "Publication:AA2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/AA2020/AA2020-Cover.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/AA2020/AA2020-Cover:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/AA2020/", "__class": "Publication" }, { "id": "luidolt-2020-lightperceptionVR", "type_id": "journalpaper", "tu_id": 291224, "repositum_id": "20.500.12708/140951", "title": "Gaze-Dependent Simulation of Light Perception in Virtual Reality", "date": "2020-12", "abstract": "The perception of light is inherently different inside a virtual reality (VR) or augmented reality (AR) simulation when compared to the real world. Conventional head-worn displays (HWDs) are not able to display the same high dynamic range of brightness and color as the human eye can perceive in the real world. To mimic the perception of real-world scenes in virtual scenes, it is crucial to reproduce the effects of incident light on the human visual system. In order to advance virtual simulations towards perceptual realism, we present an eye-tracked VR/AR simulation comprising effects for gaze-dependent temporal eye adaption, perceptual glare, visual acuity reduction, and scotopic color vision. Our simulation is based on medical expert knowledge and medical studies of the healthy human eye. We conducted the first user study comparing the perception of light in a real-world low-light scene to a VR simulation. Our results show that the proposed combination of simulated visual effects is well received by users and also indicate that an individual adaptation is necessary, because perception of light is highly subjective.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1478, "image_height": 534, "name": "luidolt-2020-lightperceptionVR-image.jpg", "type": "image/jpeg", "size": 1390298, "path": "Publication:luidolt-2020-lightperceptionVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1577, 193, 1030 ], "cfp": { "name": "Screenshot_2020-10-30 Call for Papers – ISMAR 2020 – International Symposium on Mixed and Augmented Reality.png", "type": "image/png", "error": "0", "size": "219516", "orig_name": "Screenshot_2020-10-30 Call for Papers – ISMAR 2020 – International Symposium on Mixed and Augmented Reality.png", "ext": "png" }, "date_from": "2020-11-09", "date_to": "2020-11-13", "doi": "10.1109/TVCG.2020.3023604", "event": "ISMAR 2020​", "first_published": "2020-09-17", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1577 ], "location": "online", "pages_from": "3557", "pages_to": "3567", "volume": "Volume 26, Issue 12", "research_areas": [ "Perception", "Rendering", "VR" ], "keywords": [ "perception", "virtual reality", "user studies" ], "weblinks": [ { "href": "https://youtu.be/cY6z2pD7dWc", "caption": "Conference Talk", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "additional-material", "main_file": false, "use_in_gallery": false, "access": "public", "name": "luidolt-2020-lightperceptionVR-additional-material.pdf", "type": "application/pdf", "size": 37540896, "path": "Publication:luidolt-2020-lightperceptionVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-additional-material.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-additional-material:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1478, "image_height": 534, "name": "luidolt-2020-lightperceptionVR-image.jpg", "type": "image/jpeg", "size": 1390298, "path": "Publication:luidolt-2020-lightperceptionVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "luidolt-2020-lightperceptionVR-paper.pdf", "type": "application/pdf", "size": 31511229, "path": "Publication:luidolt-2020-lightperceptionVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "luidolt-2020-lightperceptionVR-slides.pdf", "type": "application/pdf", "size": 2661389, "path": "Publication:luidolt-2020-lightperceptionVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-slides:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "luidolt-2020-lightperceptionVR-video.mp4", "type": "video/mp4", "size": 30909955, "path": "Publication:luidolt-2020-lightperceptionVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-video:video.mp4" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/", "__class": "Publication" }, { "id": "Mossel_Annette_2020-TVR", "type_id": "journalpaper_notalk", "tu_id": 294049, "repositum_id": "20.500.12708/141658", "title": "Immersive training of first responder squad leaders in untethered virtual reality", "date": "2020-12", "abstract": "We present the VROnSite platform that supports immersive training of first responder units´ on-site squad leaders. Our training platform is fully immersive, entirely untethered to ease use and provides two means of navigation-abstract and natural walking-to simulate stress and exhaustion, two important factors for decision making. With the platform´s capabilities, we close a gap in prior art for first responder training. Our research is closely interlocked with stakeholders from multiple fire brigades to gather early feedback in an iterative design process. In this paper, we present the system´s design rationale, provide insight into the process of training scenario development and present results of a user study with 41 squad leaders from the firefighting domain. Virtual disaster environments with two different navigation types were evaluated using quantitative and qualitative measures. Participants considered our platform highly suitable for training of decision making in complex first responder scenarios and results show the importance of the provided navigation technologies in this context.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1815, 1731, 1816, 1727, 1726, 378 ], "doi": "10.1007/s10055-020-00487-x", "journal": "Virtual Reality", "pages_from": "1", "pages_to": "15", "volume": "204", "research_areas": [], "keywords": [ "Virtual Reality", "Mixed Reality", "Augmented Virtuality", "Training", "First Responder", "Interaction", "3D Object Interaction" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mossel_Annette_2020-TVR/", "__class": "Publication" }, { "id": "sakr_sherif-2020-cacm", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "The Future is Big Graphs! A Community View on Graph Processing Systems", "date": "2020-12", "abstract": "Graphs are by nature ‘unifying abstractions’ that can leverage interconnectedness to represent, explore, predict, and explain real- and digital-world phenomena. Although real users and consumers of graph instances and graph workloads understand these abstractions, future problems will require new abstractions and systems. What needs to happen in the next decade for big graph processing to continue to succeed?\nWe are witnessing an unprecedented growth of interconnected data, which underscores the vital role of graph processing in our society. To name only a few remarkable examples of late, the importance of this field for practitioners is evidenced by the large number (over 50,000) of people registered2 to download the Neo4j book “​Graph Algorithms​” in just over 1.5 years, and by the enormous interest in the use of graph processing in the Artificial Intelligence and Machine Learning fields3. Furthermore, the timely Graphs4Covid-19 initiative4 provides evidence for the importance of big graph analytics in alleviating the global COVID-19 pandemic.\nThis article addresses the questions: How do the next-decade big graph processing systems look like from the perspectives of the data management and the large scale systems communities5? What can we say today about the guiding design principles of these systems in the next 10 years?", "authors_et_al": true, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "sakr_sherif-2020-cacm-image.png", "type": "image/png", "size": 43693, "path": "Publication:sakr_sherif-2020-cacm", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/sakr_sherif-2020-cacm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/sakr_sherif-2020-cacm-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1805, 1806, 1807, 1808, 1464 ], "journal": "Communications of the ACM ", "pages_from": "1", "pages_to": "14", "volume": "x", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "sakr_sherif-2020-cacm-image.png", "type": "image/png", "size": 43693, "path": "Publication:sakr_sherif-2020-cacm", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/sakr_sherif-2020-cacm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/sakr_sherif-2020-cacm-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sakr_sherif-2020-cacm-paper.pdf", "type": "application/pdf", "size": 711422, "path": "Publication:sakr_sherif-2020-cacm", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/sakr_sherif-2020-cacm-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/sakr_sherif-2020-cacm-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/", "__class": "Publication" }, { "id": "spegel-gruenberger-2020", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Charakterisierung der Population von Pflegepatienten in zwei Pflegespitälern mithilfe interaktiver Visualisierungen elektronischer Patientendaten", "date": "2020-12", "abstract": "Results only accessible for members of the research unit. ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1814 ], "date_end": "2020-12", "date_start": "2020-09", "matrikelnr": "08726501", "note": "194.047 Interdisciplinary Project in Data Science", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/spegel-gruenberger-2020/", "__class": "Publication" }, { "id": "KROESL-2020-SVI", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/16475", "title": "Simulating Vision Impairments in Virtual and Augmented Reality", "date": "2020-11-30", "abstract": "There are at least 2.2 billion people affected by vision impairments worldwide, and the number of people suffering from common eye diseases like cataracts, diabetic retinopathy, glaucoma or macular degeneration, which show a higher prevalence with age, is expected to rise in the years to come, due to factors like aging of the population.\n\nMedical publications, ophthalmologists and patients can give some insight into the effects of vision impairments, but for people with normal eyesight (even medical personnel) it is often hard to grasp how certain eye diseases can affect perception. We need to understand and quantify the effects of vision impairments on perception, to design cities, buildings, or lighting systems that are accessible for people with vision impairments. Conducting studies on vision impairments in the real world is challenging, because it requires a large number of participants with exactly the same type of impairment. Such a sample group is often hard or even impossible to find, since not every symptom can be assessed precisely and the same eye disease can be experienced very differently between affected people.\n\nIn this thesis, we address these issues by presenting a system and a methodology to simulate vision impairments, such as refractive errors, cataracts, cornea disease, and age-related macular degeneration in virtual reality (VR) and augmented reality (AR), which allows us to conduct user studies in VR or AR with people with healthy eyesight and graphically simulated vision impairments. We present a calibration technique that allows us to calibrate individual simulated symptoms to the same level of severity for every user, taking hardware constraints as well as vision capabilities of users into account.\n\nWe measured the influence of simulated reduced visual acuity on maximum recognition distances of signage in a VR study and showed that current international standards and norms do not sufficiently consider people with vision impairments. In a second study, featuring our medically based cataract simulations in VR, we found that different lighting systems can positively or negatively affect the perception of people with cataracts. We improved and extended our cataract simulation to video–see-through AR and evaluated and adjusted each simulated symptom together with cataract patients in a pilot study, showing the flexibility and potential of our approach. In future work we plan to include further vision impairments and open source our software, so it can be used for architects and lighting designers to test their designs for accessibility, for training of medical personnel, and to increase empathy for people with vision impairments. This way, we hope to contribute to making this world more inclusive for everyone.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 539, "image_height": 270, "name": "KROESL-2020-SVI-image.jpg", "type": "image/jpeg", "size": 32618, "path": "Publication:KROESL-2020-SVI", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/KROESL-2020-SVI/KROESL-2020-SVI-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/KROESL-2020-SVI/KROESL-2020-SVI-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030 ], "co_supervisor": [ 1559 ], "date_end": "2020-10", "date_start": "2016-04", "duration": "4.5 years", "open_access": "yes", "reviewer_1": [ 1299 ], "reviewer_2": [ 1299 ], "rigorosum": "2020-11-30", "supervisor": [ 193 ], "research_areas": [ "Rendering", "VR" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 539, "image_height": 270, "name": "KROESL-2020-SVI-image.jpg", "type": "image/jpeg", "size": 32618, "path": "Publication:KROESL-2020-SVI", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/KROESL-2020-SVI/KROESL-2020-SVI-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/KROESL-2020-SVI/KROESL-2020-SVI-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "KROESL-2020-SVI-thesis.pdf", "type": "application/pdf", "size": 7596645, "path": "Publication:KROESL-2020-SVI", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/KROESL-2020-SVI/KROESL-2020-SVI-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/KROESL-2020-SVI/KROESL-2020-SVI-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/KROESL-2020-SVI/", "__class": "Publication" }, { "id": "Brandstaetter2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/16613", "title": "Building a Sandbox Towards Investigating the Behavior of Control Algorithms and Training of Real-World Robots", "date": "2020-11-26", "abstract": "The control of legged robots and teaching robotic hands to grasp are still challenging tasks. Machine learning approaches already work well in simulation. However, the discrepancy between simulation and reality sometimes causes diÿculties when applying simulation results to the real robot. Learning algorithms also require a huge amount of training data. The goal of this work is to build a sandbox that provides a detailed comparison between simulated and real-world robots and o˙ers a way of controlled and continuous data collection and exploration.\nThe sandbox consists of a motion capture and a simulation component. The motion capture component is responsible for the continuous data collection and is realized with a system from OptiTrack with six high-precision infrared cameras. The simulation com-ponent is realized with Simulink and the Simscape Multibody Library. This component is responsible for the exploration and comparison of simulated data with real-world data. The robot that is selected for this work is a small four-legged puppy robot from ROBOTIS that is actuated with 15 Dynamixel servomotors. To integrate the robot into the sandbox, the robot’s controller is reprogrammed to make a transfer from motion data to the robot easier and to control the robot remotely. The robot is programmed with a straight walking gait and equipped with reflective markers to track its movements.\nWith the computer-aided design (CAD) software SolidWorks, a 3D model of the puppy robot is constructed that is used for simulation in Simulink.\nThe result is a system that accurately gathers 6 degrees of freedom (DOF) data of a small robot. This data is transferred to the simulation and can be compared to simulated data. Data from the simulation can also be tested easily on the real robot and tracked again. This way, a closed-loop system is provided for iterative robot exploration.\nTwo datasets are compared with the help of the resulting sandbox: A dataset from ROBOTIS containing ideal joint angles for the robot, and a dataset that is obtained with the motion capture system, containing tracked joint angles. The datasets are simulated and the position and orientation of the robot are compared to the data from the motion capture. Despite strong variations in the simulated results, the simulated robot kept a similar direction and was only a few centimetres o˙ from the real robot.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 382, "image_height": 266, "name": "Brandstaetter2020-Image.JPG", "type": "image/jpeg", "size": 19533, "path": "Publication:Brandstaetter2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Brandstaetter2020/Brandstaetter2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Brandstaetter2020/Brandstaetter2020-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1502 ], "date_end": "2020-11-26", "date_start": "2020-10-20", "diploma_examina": "2020-11-26", "doi": "10.34726/hss.2021.69348", "matrikelnr": "01326465", "open_access": "yes", "pages": "108", "supervisor": [ 166 ], "research_areas": [ "Modeling" ], "keywords": [ "robotic motion analysis", "visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 382, "image_height": 266, "name": "Brandstaetter2020-Image.JPG", "type": "image/jpeg", "size": 19533, "path": "Publication:Brandstaetter2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Brandstaetter2020/Brandstaetter2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Brandstaetter2020/Brandstaetter2020-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Brandstaetter2020-Master Thesis.pdf", "type": "application/pdf", "size": 20202554, "path": "Publication:Brandstaetter2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Brandstaetter2020/Brandstaetter2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Brandstaetter2020/Brandstaetter2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Brandstaetter2020-Poster.pdf", "type": "application/pdf", "size": 3741067, "path": "Publication:Brandstaetter2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Brandstaetter2020/Brandstaetter2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Brandstaetter2020/Brandstaetter2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Brandstaetter2020/", "__class": "Publication" }, { "id": "Gogel2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/16605", "title": "Visualization-Guided Classification of Carbonized Seeds from Early Human Civilizations", "date": "2020-11-25", "abstract": "Since the Neolithic Revolution approximately 10.000 years ago, crop plants are an important part of our food. Researchers of archeobotany try to find and determine the species that humankind used already in the past. Most of the gathered samples are preserved due to carbonization, but the shape and inner structures are deformed because of this process. The amount of distortion is given by the temperature and the time they are heated. Normally, an expert is consulted to classify them. Since there are only a few experts in this field, an automatic approach is requested. The result of this work is a software, which can load the Computed Tomography (CT) scans, segment and separate the seeds within the samples, calculate different shape features as descriptors, and train a classifier. To have an overview of how the seeds look like, different volume visualizations are available to show selected samples or median seeds of each class. To validate the probabilities of the learner, additional visualizations are available, which show the influence of the extracted features on the classification. A cross validation method with 1043 known samples results in a classification accuracy of 85 %. The incorrectly classified samples of the ground truth are visualized to display the expert user where they are located regard to the extracted features and which results are especially inaccurate. It turned out, that the opportunity to export the features into a tabular filetype and the visualization of the output probabilities of the classifier for each species were particularly helpful for the domain experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 638, "image_height": 331, "name": "Gogel2020-Image.JPG", "type": "image/jpeg", "size": 29779, "path": "Publication:Gogel2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1617 ], "co_supervisor": [ 1110 ], "date_end": "2020-11-25", "date_start": "2020-01-12", "diploma_examina": "2020-12-15", "doi": "10.34726/hss.2021.62641", "matrikelnr": "0801243", "open_access": "yes", "pages": "105", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [ "Visualization-Guided Classification", "Ancient Seeds" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 638, "image_height": 331, "name": "Gogel2020-Image.JPG", "type": "image/jpeg", "size": 29779, "path": "Publication:Gogel2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Gogel2020-Master Thesis.pdf", "type": "application/pdf", "size": 11583640, "path": "Publication:Gogel2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Gogel2020-Poster.pdf", "type": "application/pdf", "size": 3402234, "path": "Publication:Gogel2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/", "__class": "Publication" }, { "id": "Ortner2020", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/55606", "title": "InCorr: Interactive Data-Driven Correlation Panels for Digital Outcrop Analysis", "date": "2020-11-25", "abstract": "Geological analysis of 3D Digital Outcrop Models (DOMs) for reconstruction of ancient habitable environments is a key aspect of the upcoming ESA ExoMars 2022 Rosalind Franklin Rover and the NASA 2020 Rover Perseverance missions in seeking signs of past life on Mars. Geologists measure and interpret 3D DOMs, create sedimentary logs and combine them in ‘correlation panels’ to map the extents of key geological horizons, and build a stratigraphic model to understand their position in the ancient landscape. Currently, the creation of correlation panels is completely manual and therefore time-consuming, and inflexible. With InCorr we present a visualization solution that encompasses a 3D logging tool and an interactive data-driven correlation panel that evolves with the stratigraphic analysis. For the creation of InCorr we closely cooperated with leading planetary geologists in the form of a design study. We verify our results by recreating an existing correlation analysis with InCorr and validate our correlation panel against a manually created illustration. Further, we conducted a user-study with a wider circle of geologists. Our evaluation shows that InCorr efficiently supports the domain experts in tackling their research questions and that it has the potential to significantly impact how geologists work with digital outcrop representations in general.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 453, "image_height": 323, "name": "Ortner2020-Image.JPG", "type": "image/jpeg", "size": 47209, "path": "Publication:Ortner2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/Ortner2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/Ortner2020-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1277, 1494, 1817, 1818, 1819, 166 ], "cfp": { "name": "Papers - Call For Participation VAST 2020.pdf", "type": "application/pdf", "error": "0", "size": "797195", "orig_name": "Papers - Call For Participation VAST 2020.pdf", "ext": "pdf" }, "date_from": "2020-10", "date_to": "2020-10", "doi": "10.1109/TVCG.2020.3030409", "event": "VAST 2020: IEEE Symposium on Visual Analytics Science and Technology", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1277 ], "open_access": "yes", "pages_from": "1", "pages_to": "10", "volume": "21", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 453, "image_height": 323, "name": "Ortner2020-Image.JPG", "type": "image/jpeg", "size": 47209, "path": "Publication:Ortner2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/Ortner2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/Ortner2020-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Ortner2020-Paper.pdf", "type": "application/pdf", "size": 16071836, "path": "Publication:Ortner2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/Ortner2020-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/Ortner2020-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/", "__class": "Publication" }, { "id": "Gall2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/16616", "title": "Immersive Analytics of Multidimensional Volumetric Data", "date": "2020-11-24", "abstract": "Understanding and interpreting volumetric multidimensional data is a complex and cognitively demanding task. Especially in the field of material science the exploration of large spatial data is crucial. Non-destructive testing (NDT) plays an essential role in industrial production, especially in the field of material and component testing, regarding the analysis, visualization, and optimization of new, highly complex material systems such as fiber composites. In order to support the increasing demands on these materials and components of the future in industrial applications, extensive inspections and controls are essential. NDT inspection data generated by imaging techniques such as X-ray computed tomography (XCT) include 2D images, volumetric models, and derived high-dimensional data spaces. They can rarely, or only to a limited extent, be evaluated on desktop monitors using standard 2D visualization techniques. Therefore, novel immersive visualization and interaction techniques using Virtual Reality (VR) were developed in this thesis to investigate highly complex, heterogeneous material systems. We present a novel technique called \"Model in Miniature\" for an effective and interactive exploration and visual analysis of fiber characteristics. Furthermore, we combine different approaches like exploded views, histograms, and node-link diagrams to provide unique insights into the composite materials. Using embodied interaction and navigation, and enhancing the user’s abilities, previously impossible insights into the most complex material structures are possible. We use the latest findings from the field of Immersive Analytics to make the spatial data more comprehensible and test the results in a qualitative study with domain experts. The evaluation of our techniques has shown positive results, which indicate the benefits of an immersive analysis of composite materials and the exploration of overall high-dimensional volumes. The insights gained therefore represent an important step towards the further development of future immersive analysis platforms.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 502, "image_height": 298, "name": "Gall2020-Image.JPG", "type": "image/jpeg", "size": 31463, "path": "Publication:Gall2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gall2020/Gall2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gall2020/Gall2020-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1355 ], "co_supervisor": [ 611 ], "date_end": "2020-11-24", "date_start": "2020-01-15", "diploma_examina": "2020-11-24", "matrikelnr": "01225540", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 502, "image_height": 298, "name": "Gall2020-Image.JPG", "type": "image/jpeg", "size": 31463, "path": "Publication:Gall2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gall2020/Gall2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gall2020/Gall2020-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Gall2020-Master Thesis.pdf", "type": "application/pdf", "size": 17524989, "path": "Publication:Gall2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gall2020/Gall2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gall2020/Gall2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Gall2020-Poster.pdf", "type": "application/pdf", "size": 2277755, "path": "Publication:Gall2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gall2020/Gall2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gall2020/Gall2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gall2020/", "__class": "Publication" }, { "id": "Heim_2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/16606", "title": "Visual Comparison of Multivariate Data Ensembles", "date": "2020-11-24", "abstract": "In safety-critical areas such as aeronautics, but also in other sectors such as the leisure industry, the advancement of respective products is largely driven by the improvement of the materials used. In order to analyze the targeted properties of these new materials, data of the internal structures is generated, using imaging techniques such as X-ray computed tomography (XCT), which is then analyzed in detail using segmentation and quantification algorithms. For materials scientists, the exact design of the internal structures is crucial for the characterization of materials and a comparison of several material candidates based on their characteristics is therefore indispensable for the investigation of di˙erent manufacturing and optimization processes or property behavior.\nCurrently, material scientists are dependent on sequential comparisons when analyzing several material candidates. Distributions of the individual attributes across the material systems need to be compared, which is why this task is typically cognitively demanding, time consuming, and thus error-prone. This work aims to support domain experts in their daily tasks of analysing large ensembles of material data. For this purpose we developed a comparative visualization framework that provides a holistic picture of similarities and dissimilarities in the data by means of an overview visualization and three detailed visualization techniques. Using the dimension reduction method Multidimensional Scaling, the individual structures are summarized and rendered in a table-based visualization technique called Histogram-Table. Information, describing in which attributes the structures are most similar as well as their exact characteristics, is evaluated by statistical calculations, the results of which are visualized in a bar chart and box plot. Finally, the linear correlations between the individual characteristics can be explored in a correlation map. We present the usability of this visualization system by means of three concrete usage scenarios and verify its applicability by means of a qualitative study with 12 material experts. The knowledge gained from our work represents a significant step in the field of comparative material analysis of high-dimensional data and supports experts in making their work easier and more eÿcient.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 262, "image_height": 520, "name": "Heim_2020-Image.JPG", "type": "image/jpeg", "size": 29877, "path": "Publication:Heim_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1354 ], "co_supervisor": [ 611 ], "date_end": "2020-11-24", "date_start": "2020-01-12", "diploma_examina": "2020-11-24", "matrikelnr": "01226809", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 262, "image_height": 520, "name": "Heim_2020-Image.JPG", "type": "image/jpeg", "size": 29877, "path": "Publication:Heim_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Heim_2020-Master Thesis.pdf", "type": "application/pdf", "size": 20005273, "path": "Publication:Heim_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Heim_2020-Poster.pdf", "type": "application/pdf", "size": 889017, "path": "Publication:Heim_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/", "__class": "Publication" }, { "id": "Antonini2020", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/141814", "title": "Spinel web: an interactive web application for visualizing the chemical composition of spinel group minerals", "date": "2020-11-23", "abstract": "The spinel group minerals provide useful information regarding the geological environment in which the host rocks were formed, constituting excellent petrogenetic indicators, and guides in the search for mineral deposits of economic interest. In this article, we present the Spinel Web, a web application to visualize the chemical composition of spinel group minerals. Spinel Web integrates most of the diagrams commonly used for analyzing the chemical characteristics of the spinel group minerals. It incorporates parallel coordinates and a 3D representation of the spinel prisms. It also provides coordinated views and appropriate interactions for users to interact with their datasets. Spinel Web also supports semi-automatic categorization of the geological environment of formation through a standard Web browser.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 222, "name": "Antonini2020-Image.JPG", "type": "image/jpeg", "size": 15627, "path": "Publication:Antonini2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/Antonini2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/Antonini2020-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1820, 1228, 1229, 1233, 235, 166, 1232, 1231 ], "doi": "10.1007/s12145-020-00542-w", "first_published": "2020-11-23", "issn": "18650473", "journal": "Earth Science Informatics", "open_access": "yes", "pages_from": "1", "pages_to": "8", "volume": "13", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 222, "name": "Antonini2020-Image.JPG", "type": "image/jpeg", "size": 15627, "path": "Publication:Antonini2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/Antonini2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/Antonini2020-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Antonini2020-Paper.pdf", "type": "application/pdf", "size": 1324523, "path": "Publication:Antonini2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/Antonini2020-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/Antonini2020-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/", "__class": "Publication" }, { "id": "Koeppel2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/16611", "title": "Context-Responsive Labeling in Augmented Reality", "date": "2020-11-18", "abstract": "Route planning is a common task that often requires additional information on Points-of-Interest (POIs). Augmented Reality (AR) enables mobile users to explore text labels and provides a composite view associated with additional information in a real-world environment. Displaying all labels for Points-of-Interest on a mobile device will lead to unwanted overlaps, and thus a context-responsive strategy to properly arrange labels is expected. This framework should consider removing overlaps, the correct Level-of-Detail to be presented, and also label coherence. This is necessary as the viewing angle in an AR system may change frequently due to users’ behaviors. The consistency of labels plays an essential role in retaining user experience and knowledge, as well as avoiding motion sickness. In this thesis, we aim to develop an approach that systematically manages label visibility and Levels-of-Detail, as well as eliminates unexpected incoherent label movement. To achieve this, we introduce three label management strategies, including (1) Occlusion Management, (2) Level-of-Detail Management, and (3) Coherence Management. A greedy approach is developed for fast occlusion handling. A Level-of-Detail scheme is adopted to arrange various types of labels in AR. A 3D scene manipulation is built to simultaneously suppress the incoherent behaviors induced by the changes of viewing angles. Finally, we present our approach’s feasibility and applicability by demonstrating one synthetic and two real-world scenarios, followed by a qualitative user study.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 342, "image_height": 315, "name": "Koeppel2020-Image.JPG", "type": "image/jpeg", "size": 18157, "path": "Publication:Koeppel2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1367 ], "co_supervisor": [ 1464 ], "date_end": "2020-11-18", "date_start": "2020-02-12", "diploma_examina": "2020-11-18", "matrikelnr": "01327052", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 342, "image_height": 315, "name": "Koeppel2020-Image.JPG", "type": "image/jpeg", "size": 18157, "path": "Publication:Koeppel2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Koeppel2020-Master Thesis.pdf", "type": "application/pdf", "size": 16776419, "path": "Publication:Koeppel2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Koeppel2020-Poster.pdf", "type": "application/pdf", "size": 4132411, "path": "Publication:Koeppel2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/", "__class": "Publication" }, { "id": "wu-2020-tvcg", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/140950", "title": "Multi-level Area Balancing of Clustered Graphs", "date": "2020-11-17", "abstract": "We present a multi-level area balancing technique for laying out clustered graphs to facilitate a comprehensive understanding of the complex relationships that exist in various fields, such as life sciences and sociology. Clustered graphs are often used to model relationships that are accompanied by attribute-based grouping information. Such information is essential for robust data analysis, such as for the study of biological taxonomies or educational backgrounds. Hence, the ability to smartly arrange textual labels and packing graphs within a certain screen space is therefore desired to successfully convey the attribute data . Here we propose to hierarchically partition the input screen space using Voronoi tessellations in multiple levels of detail. In our method, the position of textual labels is guided by the blending of constrained forces and the forces derived from centroidal Voronoi cells. The proposed algorithm considers three main factors: (1) area balancing, (2) schematized space partitioning, and (3) hairball management. We primarily focus on area balancing, which aims to allocate a uniform area for each textual label in the diagram. We achieve this by first untangling a general graph to a clustered graph through textual label duplication, and then coupling with spanning-tree-like visual integration. We illustrate the feasibility of our approach with examples and then evaluate our method by comparing it with well-known conventional approaches and collecting feedback from domain experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2020-tvcg-image.png", "type": "image/png", "size": 85239, "path": "Publication:wu-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 171 ], "doi": "https://doi.org/10.1109/TVCG.2020.3038154", "journal": "IEEE Transactions on Visualization and Computer Graphics (TVCG)", "open_access": "yes", "pages_from": "1", "pages_to": "15", "volume": "x", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [ "Graph drawing", "Voronoi tessellation", "multi-level", "spatially-efficient layout" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2020-tvcg-image.png", "type": "image/png", "size": 85239, "path": "Publication:wu-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2020-tvcg-paper.pdf", "type": "application/pdf", "size": 48103600, "path": "Publication:wu-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2020-tvcg-video.mov", "type": "video/quicktime", "size": 12802528, "path": "Publication:wu-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-video.mov", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-video:video.mp4" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/", "__class": "Publication" }, { "id": "WIMMER-2020-ASG", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Applications of Smart Graphics", "date": "2020-11-12", "abstract": "For a long period of time, the focus of computer graphics was mostly the quality and speed of image generation. Meanwhile, commercial rendering engines leave little to be desired, but computer graphics research has expanded to solve application problems through so-called “smart graphics”. In this talk, I will present some of our latest advances in “smart” computer graphics in simulation, rendering and content generation. I will show how we can now simulate visual impairments in virtual reality, which could be used to create empathy for people affected by these impairments. I will describe how we have advanced point-based rendering techniques to allow incorporating real environments into rendering applications with basically no preprocessing. On the other hand, virtual environments could be created efficiently by collaborative crowed-sourced procedural modeling. Finally, efficient simulations of floods and heavy rainfall may help experts and increase public awareness of natural disasters and the effects of climate change.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193 ], "date_from": "2020-11-12", "date_to": "2020-11-13", "event": "Smart Tools and Applications in Graphics (STAG) 2020", "location": "online", "open_access": "yes", "research_areas": [ "Modeling", "Rendering" ], "keywords": [ "computer graphics", "rendering", "simulation" ], "weblinks": [], "files": [], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/WIMMER-2020-ASG/", "__class": "Publication" }, { "id": "Kroesl_2020_11_09", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/55554", "title": "CatARact: Simulating Cataracts in Augmented Reality", "date": "2020-11-09", "abstract": "For our society to be more inclusive and accessible, the more than 2.2 billion people worldwide with limited vision should be considered more frequently in design decisions, such as architectural planning. To help architects in evaluating their designs and give medical per-sonnel some insight on how patients experience cataracts, we worked with ophthalmologists to develop the first medically-informed, pilot-studied simulation of cataracts in eye-tracked augmented reality (AR). To test our methodology and simulation, we conducted a pilot study with cataract patients between surgeries of their two cataract-affected eyes. Participants compared the vision of their corrected eye, viewing through simulated cataracts, to that of their still affected eye, viewing an unmodified AR view. In addition, we conducted remote experiments via video call, live adjusting our simulation and comparing it to related work, with participants who had cataract surgery a few months before. We present our findings and insights from these experiments and outline avenues for future work.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 512, "name": "Kroesl_2020_11_09-image.png", "type": "image/png", "size": 483244, "path": "Publication:Kroesl_2020_11_09", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kroesl_2020_11_09/Kroesl_2020_11_09-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kroesl_2020_11_09/Kroesl_2020_11_09-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030, 1633, 1577, 1636, 1635, 1634, 193 ], "booktitle": "IEEE International Symposium on Mixed and Augmented Reality (ISMAR).", "cfp": { "name": "Call for Papers – ISMAR 2020 – International Symposium on Mixed and Augmented Reality.pdf", "type": "application/pdf", "error": "0", "size": "1595938", "orig_name": "Call for Papers – ISMAR 2020 – International Symposium on Mixed and Augmented Reality.pdf", "ext": "pdf" }, "date_from": "2020-11-09", "date_to": "2020-11-13", "event": "IEEE International Symposium on Mixed and Augmented Reality (ISMAR).", "lecturer": [ 1030 ], "open_access": "yes", "pages_from": "1", "pages_to": "10", "research_areas": [ "VR" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 512, "name": "Kroesl_2020_11_09-image.png", "type": "image/png", "size": 483244, "path": "Publication:Kroesl_2020_11_09", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kroesl_2020_11_09/Kroesl_2020_11_09-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kroesl_2020_11_09/Kroesl_2020_11_09-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kroesl_2020_11_09-Paper.pdf", "type": "application/pdf", "size": 1809637, "path": "Publication:Kroesl_2020_11_09", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kroesl_2020_11_09/Kroesl_2020_11_09-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kroesl_2020_11_09/Kroesl_2020_11_09-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kroesl_2020_11_09/", "__class": "Publication" }, { "id": "Groeller_V5_2020", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/87185", "title": "Interactive Visual Data Analysis", "date": "2020-11-09", "abstract": "Visualization and visual computing use computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity concerning volume, veracity, velocity, and variety has increased considerably. This is due to new data sources as well as the availability of uncertainty, error, and tolerance information. Instead of individual objects entire sets, collections, and ensembles are visually investigated. There is a need for visual analyses, comparative visualization, quantitative visualizations, scalable visualizations, and linked/integrated views. The concepts will be especially exemplified with a geospatial decision support system for flood management. Given the amplified data variability, interactive visual data analyses are likely to gain in importance in the future. Research challenges and directions are sketched at the end of the talk.\n", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2020-11-09", "date_to": "2020-11-09", "event": "KAUST CEMSE Graduate Seminar (virtual)", "location": "KAUST, Saudi Arabia", "open_access": "yes", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://cemse.kaust.edu.sa/events/event/interactive-visual-data-analysis", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Groeller_V5_2020/", "__class": "Publication" }, { "id": "SCHUETZ-2020-MPC", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/58254", "title": "Fast Out-of-Core Octree Generation for Massive Point Clouds", "date": "2020-11", "abstract": "We propose an efficient out-of-core octree generation method for arbitrarily large point clouds. It utilizes a hierarchical counting sort to quickly split the point cloud into small chunks, which are then processed in parallel. Levels of detail are generated by subsampling the full data set bottom up using one of multiple exchangeable sampling strategies. We introduce a fast hierarchical approximate blue-noise strategy and compare it to a uniform random sampling strategy. The throughput, including out-of-core access to disk, generating the octree, and writing the final result to disk, is about an order of magnitude faster than the state of the art, and reaches up to around 6 million points per second for the blue-noise approach and up to around 9 million points per second for the uniform random approach on modern SSDs.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2400, "image_height": 692, "name": "SCHUETZ-2020-MPC-.png", "type": "image/png", "size": 848082, "path": "Publication:SCHUETZ-2020-MPC", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/SCHUETZ-2020-MPC/SCHUETZ-2020-MPC-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/SCHUETZ-2020-MPC/SCHUETZ-2020-MPC-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1116, 948, 193 ], "cfp": { "name": "For Authors - PG2020.pdf", "type": "application/pdf", "error": "0", "size": "909462", "orig_name": "For Authors - PG2020.pdf", "ext": "pdf" }, "date_from": "2021", "date_to": "2021", "doi": "10.1111/cgf.14134", "event": "Pacific Graphics 2020", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1116 ], "location": "Wellington, NZ", "number": "7", "open_access": "yes", "pages": "13", "pages_from": "1", "pages_to": "13", "publisher": "John Wiley & Sons, Inc.", "volume": "39", "research_areas": [ "Rendering" ], "keywords": [ "point clouds", "point-based rendering", "level of detail" ], "weblinks": [ { "href": "https://github.com/potree/PotreeConverter/releases/tag/2.0", "caption": "PotreeConverter 2.0 at github ", "description": "PotreeConverter generates an octree LOD structure for streaming and real-time rendering of massive point clouds. The results can be viewed in web browsers with Potree or as a desktop application with PotreeDesktop.\n\n", "main_file": 0 }, { "href": "https://www.youtube.com/watch?v=g6k-flKWaNI", "caption": "Video", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2400, "image_height": 692, "name": "SCHUETZ-2020-MPC-.png", "type": "image/png", "size": 848082, "path": "Publication:SCHUETZ-2020-MPC", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/SCHUETZ-2020-MPC/SCHUETZ-2020-MPC-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/SCHUETZ-2020-MPC/SCHUETZ-2020-MPC-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "SCHUETZ-2020-MPC-paper.pdf", "type": "application/pdf", "size": 25053214, "path": "Publication:SCHUETZ-2020-MPC", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/SCHUETZ-2020-MPC/SCHUETZ-2020-MPC-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/SCHUETZ-2020-MPC/SCHUETZ-2020-MPC-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Superhumans" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/SCHUETZ-2020-MPC/", "__class": "Publication" }, { "id": "Groeller_V42020", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/87184", "title": "Medicinae Notitia Visibilis Fac – Quo Vadis?", "date": "2020-10-29", "abstract": "Medical Visualization is a scientific field that takes advantage of human vision and perception to amplify cognition and gain insight in (complex) medical data. The interdisciplinarity and the diversity of stakeholders and their greatly varying expertises and expectations, make it a demanding area with many overlapping, but distinct domains. Collaboration and communication is challenged by: “Die Grenzen meiner Sprache bedeuten die Grenzen meiner Welt“ (Ludwig Wittgenstein). This talk reflects on the feedback from an ad hoc and random sampling of my professional network with comments, e.g., from basic and applied visual and medical computing experts, commercial developers of medical software, clinical researchers and practitioners.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2020-10-29", "date_to": "2020-10-29", "event": "IEEE Vis 2020 Application Spotlight (virtual): Recent Challenges in Medical Visualization", "location": "Salt Lake City, USA", "open_access": "yes", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [ { "href": "https://virtual.ieeevis.org/session_l-med.html", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Groeller_V42020/", "__class": "Publication" }, { "id": "Meusburger_2020", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visual Comparison of Spatial Deviations via Geospatial Slicing", "date": "2020-10-28", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 495, "image_height": 229, "name": "Meusburger_2020-Image.JPG", "type": "image/jpeg", "size": 28468, "path": "Publication:Meusburger_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/Meusburger_2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/Meusburger_2020-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1811 ], "date_end": "2020-10-28", "date_start": "2020-04-12", "matrikelnr": "01526330", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Meusburger_2020-Bachelor thesis.pdf", "type": "application/pdf", "size": 8033013, "path": "Publication:Meusburger_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/Meusburger_2020-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/Meusburger_2020-Bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 495, "image_height": 229, "name": "Meusburger_2020-Image.JPG", "type": "image/jpeg", "size": 28468, "path": "Publication:Meusburger_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/Meusburger_2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/Meusburger_2020-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/", "__class": "Publication" }, { "id": "erler-2020-p2s", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/55555", "title": "Points2Surf: Learning Implicit Surfaces from Point Clouds", "date": "2020-10-28", "abstract": "A key step in any scanning-based asset creation workflow is to convert unordered point clouds to a surface. Classical methods (e.g., Poisson reconstruction) start to degrade in the presence of noisy and partial scans. Hence, deep learning based methods have recently been proposed to produce complete surfaces, even from partial scans. However, such data-driven methods struggle to generalize to new shapes with large geometric and topological variations. We present Points2Surf, a novel patch-based learning framework that produces accurate surfaces directly from raw scans without normals.\n\nLearning a prior over a combination of detailed local patches and coarse global information improves generalization performance and reconstruction accuracy.\n\nOur extensive comparison on both synthetic and real data demonstrates a clear advantage of our method over state-of-the-art alternatives on previously unseen classes (on average, Points2Surf brings down reconstruction error by 30% over SPR and by 270%+ over deep learning based SotA methods) at the cost of longer computation times and a slight increase in small-scale topological noise in some cases. \nOur source code, pre-trained model, and dataset are available on: https://github.com/ErlerPhilipp/points2surf\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "We present Points2Surf, a method to reconstruct an accurate implicit surface from a noisy point cloud. Unlike current data-driven surface reconstruction methods like DeepSDF and AtlasNet, it is patch-based, improves detail reconstruction, and unlike Screened Poisson Reconstruction (SPR), a learned prior of low-level patch shapes improves reconstruction accuracy. \nNote the quality of reconstructions, both geometric and topological, against the original surfaces. The ability of Points2Surf to generalize to new shapes makes it the first learning-based approach with significant generalization ability under both geometric and topological variations.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4161, "image_height": 2179, "name": "erler-2020-p2s-teaser.png", "type": "image/png", "size": 4130897, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1395, 627, 948, 193, 1771 ], "address": "Cham", "booktitle": "Computer Vision -- ECCV 2020", "cfp": { "name": "eccv_2020_call_for_papers.pdf", "type": "application/pdf", "error": "0", "size": "255221", "orig_name": "eccv_2020_call_for_papers.pdf", "ext": "pdf" }, "date_from": "2020-08-24", "date_to": "2020-08-27", "doi": "10.1007/978-3-030-58558-7_7", "editor": "Vedaldi, Andrea and Bischof, Horst and Brox, Thomas and Frahm, Jan-Michael", "event": "ECCV 2020", "first_published": "2020-10-28", "isbn": "978-3-030-58558-7", "journal": "Computer Vision – ECCV 2020", "lecturer": [ 1395 ], "location": "Glasgow, UK (online)", "open_access": "yes", "pages": "17", "pages_from": "108", "pages_to": "124", "publisher": "Springer International Publishing", "series": "Lecture Notes in Computer Science", "volume": "12350", "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "surface reconstruction", "implicit surfaces", "point clouds", "patch-based", "local and global", "deep learning", "generalization" ], "weblinks": [ { "href": "https://github.com/ErlerPhilipp/points2surf", "caption": "Github Repo", "description": "Access the source code, pre-trained models and datasets from Github.", "main_file": 0 }, { "href": "https://arxiv.org/abs/2007.10453", "caption": "Arxiv Pre-Print", "description": "Access the paper pre-print on arXiv.", "main_file": 0 }, { "href": "https://link.springer.com/chapter/10.1007%2F978-3-030-58558-7_7", "caption": "Official Publication", "description": "Access the paper Springer Link.", "main_file": 0 } ], "files": [ { "description": "Our normalized ground-truth meshes from the ABC dataset.", "filetitle": "abc_meshes", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-abc_meshes.zip", "type": "application/x-zip-compressed", "size": 726933282, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-abc_meshes.zip", "thumb_image_sizes": [] }, { "description": "Our processed extract from the ABC dataset that can be used to train Points2Surf.", "filetitle": "abc_training", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-abc_training.zip", "type": "application/x-zip-compressed", "size": 1786245314, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-abc_training.zip", "thumb_image_sizes": [] }, { "description": "Our processed extract from the ABC dataset that can be used to replicate the results of Points2Surf.", "filetitle": "abc", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-abc.zip", "type": "application/x-zip-compressed", "size": 138638856, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-abc.zip", "thumb_image_sizes": [] }, { "description": "Our pre-trained models (ablation versions) to reproduce the results.", "filetitle": "ablation_models", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-ablation_models.zip", "type": "application/x-zip-compressed", "size": 242492525, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-ablation_models.zip", "thumb_image_sizes": [] }, { "description": "Our processed Famous dataset that can be used to replicate the results of Points2Surf.", "filetitle": "famous", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-famous.zip", "type": "application/x-zip-compressed", "size": 1525449349, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-famous.zip", "thumb_image_sizes": [] }, { "description": "8 min video for ECCV 2020", "filetitle": "long video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-long video.mp4", "type": "video/mp4", "size": 85439106, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-long video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-long video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-long video:video.mp4" }, { "description": "A new model version with even better results.", "filetitle": "max_model", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-max_model.zip", "type": "application/x-zip-compressed", "size": 20010604, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-max_model.zip", "thumb_image_sizes": [] }, { "description": "Points2Surf paper (Arxiv version)", "filetitle": "points2surf_paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-points2surf_paper.pdf", "type": "application/pdf", "size": 9135835, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-points2surf_paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-points2surf_paper:thumb{{size}}.png" }, { "description": "Our processed real-world dataset that can be used to replicate the results of Points2Surf.", "filetitle": "real_world", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-real_world.zip", "type": "application/x-zip-compressed", "size": 5942947, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-real_world.zip", "thumb_image_sizes": [] }, { "description": "2 min video for ECCV 2020", "filetitle": "short video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-short video.mp4", "type": "video/mp4", "size": 13862480, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-short video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-short video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-short video:video.mp4" }, { "description": "We present Points2Surf, a method to reconstruct an accurate implicit surface from a noisy point cloud. Unlike current data-driven surface reconstruction methods like DeepSDF and AtlasNet, it is patch-based, improves detail reconstruction, and unlike Screened Poisson Reconstruction (SPR), a learned prior of low-level patch shapes improves reconstruction accuracy. \nNote the quality of reconstructions, both geometric and topological, against the original surfaces. The ability of Points2Surf to generalize to new shapes makes it the first learning-based approach with significant generalization ability under both geometric and topological variations.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4161, "image_height": 2179, "name": "erler-2020-p2s-teaser.png", "type": "image/png", "size": 4130897, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-teaser:thumb{{size}}.png" }, { "description": "Our processed extract from the Thingi10k dataset that can be used to replicate the results of Points2Surf.", "filetitle": "thingi10k", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-thingi10k.zip", "type": "application/x-zip-compressed", "size": 940826980, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-thingi10k.zip", "thumb_image_sizes": [] }, { "description": "Our pre-trained model (vanilla version) to reproduce the results.", "filetitle": "vanilla_model", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-vanilla_model.zip", "type": "application/x-zip-compressed", "size": 23009153, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-vanilla_model.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "Superhumans", "MAKE-IT-FAB", "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/", "__class": "Publication" }, { "id": "pointner_simon-2020", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Controllable Animation for Information Visualisation", "date": "2020-10-23", "abstract": "Understanding and identifying the alternations between different visualisations are cognitively demanding tasks. Distinct visualisations can lead to a different interpretation of data, thus it is important to understand how visualisations correlate with each other and how the insight to the data gained might vary. An approach to achieve the correlation understanding is to introduce animated transitions between different visualisations that allows to precisely follow changes, pursuing the research in the field of animated transitions. In particular, the focus of this research is on animated transitions between commonly used visualisations like bar, doughnut, pie and radial column charts with the addition of implementing them controllable. A controllable animation allows the user to control the animation with a seek-bar like in a video player. This work proposes and implements two new animated transitions, one animation between bar and pie charts and another one for hierarchical bar charts, both utilising other charts as intermediate steps. Expectations are to further improve the effectiveness and graphical perception of animated transitions. Though, a quantitative user study yielded no significant improvements apart from a little effectiveness gain among elder persons.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1796 ], "date_end": "2020-10-23", "date_start": "2019-02-26", "matrikelnr": "01612401", "supervisor": [ 1464 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "pointner_simon-2020-thesis.pdf", "type": "application/pdf", "size": 2063267, "path": "Publication:pointner_simon-2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/pointner_simon-2020/pointner_simon-2020-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/pointner_simon-2020/pointner_simon-2020-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/pointner_simon-2020/", "__class": "Publication" }, { "id": "purgathofer-2020-nch", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/87073", "title": "VR and Visualization in Industry", "date": "2020-10-19", "abstract": "We can argue why VR and AR will become more important:\n- Virtual and Augmented Reality are efficient forms of visualizing content for the human:\n\tthey are immersive, 3 dimensional, interactive, natural, and easy to learn\n- Why did that not happen already? Simply because the technology was not ready, there were too many weaknesses. Now technology is ready!\n- And why is visualization important? Visualization is one fundamental pillar of modern computer science.\n- The human eyes carry 80-90% of all information input, images have the highest bandwidth (you know the saying: a picture is worth a thousand words)\n- And a visual summary of information makes it much easier to identify patterns and trends, \tand to analyze data communication easier and more efficient\n", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "event": "World VR Industry Conference Cloud Summit", "location": "Nanchang, China", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/purgathofer-2020-nch/", "__class": "Publication" }, { "id": "lipp-2019-rtxq3", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/16178", "title": "Real-Time Ray Tracing in Quake III", "date": "2020-10-15", "abstract": "This work discusses the extension of the popular Quake III game engine using real-time raytracing.\nIt investigates how ray tracing can be implemented using the most recent graphics card generation by NVIDIA, which offers dedicated hardware support and acceleration via an new API.\nIn addition, strategies will be discussed about how offline ray-tracing algorithms can be transformed to an online real-time context.\n\nIn order to implement ray tracing, Quake III needs to be extended with a Vulkan backend.\nNext, distributed ray tracing is implemented and is used to render the whole game world except for the user interface (UI) elements. The UI will be handled by the rasterizer.\n\nThe performance and efficiency of ray tracing in a game engine using the RTX hardware features is analyzed and discussed.\nThe focus lies on how quality and performance relate to each other, and how far ray tracing can be pushed with still acceptable frame rate of around 30/60 frames per second.\nFurthermore, implementation strategies that improve the quality, performance or both will be discussed.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 834, "image_height": 594, "name": "lipp-2019-rtxq3-image.png", "type": "image/png", "size": 963441, "path": "Publication:lipp-2019-rtxq3", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/lipp-2019-rtxq3/lipp-2019-rtxq3-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/lipp-2019-rtxq3/lipp-2019-rtxq3-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1525 ], "date_end": "2020-10-15", "date_start": "2019-03-19", "diploma_examina": "2020-11-19", "matrikelnr": "01425235", "supervisor": [ 193, 1128 ], "research_areas": [ "Rendering" ], "keywords": [ "Rendering", "Ray Tracing", "RTX", "Quake III" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 834, "image_height": 594, "name": "lipp-2019-rtxq3-image.png", "type": "image/png", "size": 963441, "path": "Publication:lipp-2019-rtxq3", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/lipp-2019-rtxq3/lipp-2019-rtxq3-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/lipp-2019-rtxq3/lipp-2019-rtxq3-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "lipp-2019-rtxq3-poster.pdf", "type": "application/pdf", "size": 7028484, "path": "Publication:lipp-2019-rtxq3", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/lipp-2019-rtxq3/lipp-2019-rtxq3-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/lipp-2019-rtxq3/lipp-2019-rtxq3-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "lipp-2019-rtxq3-thesis.pdf", "type": "application/pdf", "size": 7214480, "path": "Publication:lipp-2019-rtxq3", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/lipp-2019-rtxq3/lipp-2019-rtxq3-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/lipp-2019-rtxq3/lipp-2019-rtxq3-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/lipp-2019-rtxq3/", "__class": "Publication" }, { "id": "Mazza_2020", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/140975", "title": "Homomorphic-Encrypted Volume Rendering", "date": "2020-10-13", "abstract": "Computationally demanding tasks are typically calculated in dedicated data centers, and real-time visualizations also follow this trend. Some rendering tasks, however, require the highest level of confidentiality so that no other party, besides the owner, can read or see the sensitive data. Here we present a direct volume rendering approach that performs volume rendering directly on encrypted volume data by using the homomorphic Paillier encryption algorithm. This approach ensures that the volume data by using the homomorphic Paillier encryption algorithm. This approach ensures that the volume data and rendered image are uninterpretable to the rendering server. Our volume rendering pipeline introduces novel approaches for encrypted-data compositing, interpolation, and opacity modulation, as well as simple transfer function design, where each of these routines maintains the highest level of privacy. We present performance and memory overhead analysis that is associated with our privacy-preserving scheme. Our approach is open and secure by design, as opposed to secure through obscurity. Owners of the data only have to keep their secure key confidential to guarantee the privacy of their volume data and the rendered images. Our work is, to our knowledge, the first privacy-preserving remote volume-rendering approach that does not require that any server involved be trustworthy; even in cases when the server is compromised, no sensitive data will be leaked to a foreign party.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1871, "image_height": 757, "name": "Mazza_2020-image.JPG", "type": "image/jpeg", "size": 151232, "path": "Publication:Mazza_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/Mazza_2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/Mazza_2020-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1035, 616, 171 ], "cfp": { "name": "Papers - IEEE VIS 2020.pdf", "type": "application/pdf", "error": "0", "size": "954206", "orig_name": "Papers - IEEE VIS 2020.pdf", "ext": "pdf" }, "date_from": "2020-01-10", "date_to": "2020-10-13", "doi": "10.1109/TVCG.2020.3030436", "event": "IEEE VIS (SciVis) 2020 conference", "first_published": "2020-10-13", "journal": "IEEE Transactions on Visualization andComputer Graphics", "lecturer": [ 1035 ], "open_access": "yes", "pages_from": "1", "pages_to": "10", "volume": "27", "research_areas": [ "MedVis" ], "keywords": [ "Volume Rendering, Transfer Function, Homomorphic-Encryption, Paillier" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1871, "image_height": 757, "name": "Mazza_2020-image.JPG", "type": "image/jpeg", "size": 151232, "path": "Publication:Mazza_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/Mazza_2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/Mazza_2020-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Mazza_2020-Paper.pdf", "type": "application/pdf", "size": 1728814, "path": "Publication:Mazza_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/Mazza_2020-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/Mazza_2020-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/", "__class": "Publication" }, { "id": "zechmeister2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/16181", "title": "Interactive Visualization of Vector Data on Heightfields", "date": "2020-10-13", "abstract": "The accurate visualization of huge amounts of georeferenced vector data on heightfields in real-time is a common problem in the field of geographic information systems (GIS). Vector data usually consist of lines and polygons, which represent objects such as roads, rivers, buildings, and parks. The interactive exploration of these vector entities in large-scale virtual 3D environments and the resulting large zoom range pose an additional performance challenge for their visualization. Ensuring clear visibility of all objects of interest in overview and of their details in close-up views is diÿcult in such large-scale environments.\nIn this thesis, a screen-based visualization method of vector data is proposed, which combines two di˙erent approaches, a static and a dynamic approach, to control the behavior and the visibility of the corresponding vector entities. The vector data can represent real-world objects and to preserve their relative size to the rest of the 3D world, a constant object size is used for the static approach. But, this static behavior can cause vector entities to disappear when zooming out. Since lines are especially a˙ected due to their small width, the dynamic approach scales them according to the current view in order to be clearly visible even from far away.\nThe evaluation results show that both screen-based visualization approaches can be applied in real-world use cases of a geospatial decision support system with large-scale environments and vector data consisting of several millions of vertices and still provide real-time performance. The results also highlight that the proposed screen-based visualization method produces larger render overheads compared with a volume-based visualization, but for large vector data sets, the new method outperforms it.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 447, "image_height": 315, "name": "zechmeister2020-image.JPG", "type": "image/jpeg", "size": 47750, "path": "Publication:zechmeister2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1793 ], "co_supervisor": [ 877 ], "date_end": "2020-10-13", "date_start": "2020-01-20", "diploma_examina": "2020-10-13", "doi": "10.34726/hss.2020.75003", "matrikelnr": "01327455", "open_access": "yes", "pages": "107", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [ "View-dependent Visualization", "Vector Data Rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 447, "image_height": 315, "name": "zechmeister2020-image.JPG", "type": "image/jpeg", "size": 47750, "path": "Publication:zechmeister2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "zechmeister2020-Master Thesis.pdf", "type": "application/pdf", "size": 26225569, "path": "Publication:zechmeister2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "zechmeister2020-Poster.pdf", "type": "application/pdf", "size": 2301383, "path": "Publication:zechmeister2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/", "__class": "Publication" }, { "id": "furmanova_2020", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/140976", "title": "VAPOR: Visual Analytics for the Exploration of Pelvic Organ Variability in Radiotherapy", "date": "2020-10", "abstract": "In radiation therapy (RT) for prostate cancer, changes in patient anatomy during treatment might lead to inadequate tumor coverage and higher irradiation of healthy tissues in the nearby pelvic organs. Exploring and analyzing anatomical variability throughout the course of RT can support the design of more robust treatment strategies, while identifying patients that are prone to radiation-induced toxicity. We present VAPOR, a novel application for the exploration of pelvic organ variability in a cohort of patients, across the entire treatment process. Our application addresses: (i) the global exploration and analysis of anatomical variability in an abstracted tabular view, (ii) the local exploration and analysis thereof in anatomical 2D/3D views, where comparative and ensemble visualizations are integrated, and (iii) the correlation of anatomical variability with radiation doses and potential toxicity. The workflow is based on available retrospective cohort data, which include segmentations of the bladder, the prostate, and the rectum through the entire treatment period. VAPOR is applied to four usage scenarios, which were conducted with two medical physicists. Our application provides clinical researchers with promising support in demonstrating the significance of treatment adaptation to anatomical changes.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1733, 1366, 1445, 1444, 1568, 1569, 166, 1410 ], "doi": "https://doi.org/10.1016/j.cag.2020.07.001", "journal": "Computer & Graphics", "note": "Special Section on VCBM 2019", "pages_from": "25", "pages_to": "38", "volume": "91", "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1186, "preview_image_height": 641, "name": "furmanova_2020-paper.pdf", "type": "application/pdf", "size": 3355311, "path": "Publication:furmanova_2020", "preview_name": "furmanova_2020-paper:preview.PNG", "preview_type": "image/png", "preview_size": 382697, "url": "https://www.cg.tuwien.ac.at/research/publications/2020/furmanova_2020/furmanova_2020-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/furmanova_2020/furmanova_2020-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/furmanova_2020/", "__class": "Publication" }, { "id": "pernsteinre_jakob_2020_eechc", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Ensuring the Effectiveness of CHC++ in Vulkan", "date": "2020-10", "abstract": "Real-time occlusion culling is a valuable tool to increase the performance of real-time rendering applications by detecting and removing invisible geometry from the rendering pipeline. Through new rendering Application Programming Interface (API) like Vulkan and modern hardware, these culling algorithms can become even more powerful. This thesis tries to ensure and evaluate the performance of Coherent Hierarchical Culling Revisited (CHC++) in this new environment by performing various optimisations to the algorithm. The changes include the batching of consecutive draw-calls and occlusion queries into single GPU-queue submits to reduce the overhead on the CPU and GPU. Additionally, the support for alpha blended transparent objects was added to the algorithm, which allows for correct culling and rendering of these objects. The algorithm performs great in environments with high occlusion and does not degrade in performance in the worst case scenario. But the high performance increase of the original implementation could not be replicated, which is attributed to the difference in rendering APIs and hardware improvements.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1912, "image_height": 1009, "name": "pernsteinre_jakob_2020_eechc-teaser.jpg", "type": "image/jpeg", "size": 348241, "path": "Publication:pernsteinre_jakob_2020_eechc", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/pernsteinre_jakob_2020_eechc-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/pernsteinre_jakob_2020_eechc-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1795 ], "date_end": "2020-10", "date_start": "2019-10", "matrikelnr": "01627767", "supervisor": [ 193, 1650 ], "research_areas": [ "Rendering" ], "keywords": [ "culling", "real-time", "GPU" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1912, "image_height": 1009, "name": "pernsteinre_jakob_2020_eechc-teaser.jpg", "type": "image/jpeg", "size": 348241, "path": "Publication:pernsteinre_jakob_2020_eechc", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/pernsteinre_jakob_2020_eechc-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/pernsteinre_jakob_2020_eechc-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "pernsteinre_jakob_2020_eechc-Thesis.pdf", "type": "application/pdf", "size": 2552714, "path": "Publication:pernsteinre_jakob_2020_eechc", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/pernsteinre_jakob_2020_eechc-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/pernsteinre_jakob_2020_eechc-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/", "__class": "Publication" }, { "id": "raidou_slicedice", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/140980", "title": "Slice and Dice: A PhysicalizationWorkflow for Anatomical Edutainment", "date": "2020-10", "abstract": "During the last decades, anatomy has become an interesting topic in education—even for laymen or schoolchildren. As medical imaging techniques become increasingly sophisticated, virtual anatomical education applications have emerged. Still, anatomical models are often preferred, as they facilitate 3D localization of anatomical structures. Recently, data physicalizations (i.e., physical visualizations) have proven to be effective and engaging—sometimes, even more than their virtual counterparts. So far, medical data physicalizations involve mainly 3D printing, which is still expensive and cumbersome. We investigate alternative forms of physicalizations, which use readily available technologies (home printers) and inexpensive materials (paper or semi-transparent films) to generate crafts for anatomical edutainment. To the best of our knowledge, this is the first computer-generated crafting approach within an anatomical edutainment context. Our approach follows a cost-effective, simple, and easy-to-employ workflow, resulting in assemblable data sculptures (i.e., semi-transparent sliceforms). It primarily supports volumetric data (such as CT or MRI), but mesh data can also be imported. An octree slices the imported volume and an optimization step simplifies the slice configuration, proposing the optimal order for easy assembly. A packing algorithm places the resulting slices with their labels, annotations, and assembly instructions on a paper or transparent film of user-selected size, to be printed, assembled into a sliceform, and explored. We conducted two user studies to assess our approach, demonstrating that it is an initial positive step towards the successful creation of interactive and engaging anatomical physicalizations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 195, "name": "raidou_slicedice-image.png", "type": "image/png", "size": 51885, "path": "Publication:raidou_slicedice", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410, 166, 1464 ], "cfp": { "name": "For Authors - PG2020.pdf", "type": "application/pdf", "error": "0", "size": "248544", "orig_name": "For Authors - PG2020.pdf", "ext": "pdf" }, "date_from": "2020", "date_to": "2020", "event": "PG2020", "journal": "Computer Graphics Forum (CGF)", "lecturer": [ 1410 ], "pages_from": "1", "pages_to": "12", "volume": "x", "research_areas": [ "MedVis" ], "keywords": [ "Data Physicalization", "Life and Medical Sciences", "Anatomical Education" ], "weblinks": [], "files": [ { "description": null, "filetitle": "example", "main_file": true, "use_in_gallery": false, "access": "public", "name": "raidou_slicedice-example.pdf", "type": "application/pdf", "size": 1447424, "path": "Publication:raidou_slicedice", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-example.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-example:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 195, "name": "raidou_slicedice-image.png", "type": "image/png", "size": 51885, "path": "Publication:raidou_slicedice", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 3045, "preview_image_height": 3045, "name": "raidou_slicedice-paper.pdf", "type": "application/pdf", "size": 20867356, "path": "Publication:raidou_slicedice", "preview_name": "raidou_slicedice-paper:preview.jpg", "preview_type": "image/jpeg", "preview_size": 1021219, "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_slicedice-video.mp4", "type": "video/mp4", "size": 166880657, "path": "Publication:raidou_slicedice", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/", "__class": "Publication" }, { "id": "schindler_2020vis", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/58250", "title": "The Anatomical Edutainer", "date": "2020-10", "abstract": "Physical visualizations (i.e., data representations by means of physical objects) have been used for many centuries in medical and anatomical education. Recently, 3D printing techniques started also to emerge. Still, other medical physicalizations that rely on affordable and easy-to-find materials are limited, while smart strategies that take advantage of the optical properties of our physical world have not been thoroughly investigated. We propose the Anatomical Edutainer, a workflow to guide the easy, accessible, and affordable generation of physicalizations for tangible, interactive anatomical edutainment. The Anatomical Edutainer supports 2D printable and 3D foldable physicalizations that change their visual properties (i.e., hues of the visible spectrum) under colored lenses or colored lights, to reveal distinct anatomical structures through user interaction.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "schindler_2020vis-image.png", "type": "image/png", "size": 75476, "path": "Publication:schindler_2020vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1760, 1464, 1410 ], "booktitle": "IEEE Vis Short Papers 2020", "cfp": { "name": "Short Paper Call for Participation.pdf", "type": "application/pdf", "error": "0", "size": "132515", "orig_name": "Short Paper Call for Participation.pdf", "ext": "pdf" }, "event": "IEEE Vis 2020", "lecturer": [ 1410 ], "pages_from": "1", "pages_to": "5", "research_areas": [ "Fabrication", "IllVis", "MedVis", "Perception" ], "keywords": [ "Data Physicalization", "Medical Visualization", "Anatomical Education" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "schindler_2020vis-image.png", "type": "image/png", "size": 75476, "path": "Publication:schindler_2020vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper preprint", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 416, "preview_image_height": 421, "name": "schindler_2020vis-paper preprint.pdf", "type": "application/pdf", "size": 26317989, "path": "Publication:schindler_2020vis", "preview_name": "schindler_2020vis-paper preprint:preview.JPG", "preview_type": "image/jpeg", "preview_size": 43449, "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-paper preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-paper preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/", "__class": "Publication" }, { "id": "cmolik-2020-tvcg", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/58318", "title": "Mixed Labeling: Integrating Internal and External Labels", "date": "2020-09-28", "abstract": "In this paper, we present an algorithm capable of mixed labeling of 2D and 3D objects. In mixed labeling, the given objects are labeled with both internal labels placed (at least partially) over the objects and external labels placed in the space around the objects and connected with the labeled objects with straight-line leaders. The proposed algorithm determines the position and type of each label based on the user-specified ambiguity threshold and eliminates overlaps between the labels, as well as between the internal labels and the straight-line leaders of external labels. The algorithm is a screen-space technique; it operates in an image where the 2D objects or projected 3D objects are encoded. In other words, we can use the algorithm whenever we can render the objects to an image, which makes the algorithm fit for use in many domains. The algorithm operates in real-time, giving the results immediately. Finally, we present results from an expert evaluation, in which a professional illustrator has evaluated the label layouts produced with the proposed algorithm.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "cmolik-2020-tvcg-image.png", "type": "image/png", "size": 47074, "path": "Publication:cmolik-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1246, 1782, 1464, 1579 ], "doi": "10.1109/TVCG.2020.3027368", "journal": "IEEE Transactions on Visualization and Computer Graphics (TVCG)", "pages_from": "1", "pages_to": "14", "volume": "x", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "cmolik-2020-tvcg-image.png", "type": "image/png", "size": 47074, "path": "Publication:cmolik-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "cmolik-2020-tvcg-paper.pdf", "type": "application/pdf", "size": 12960199, "path": "Publication:cmolik-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/", "__class": "Publication" }, { "id": "Groeller_V3_2020", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/87183", "title": " Interactive Visual Data Analysis", "date": "2020-09-19", "abstract": "Visualization and visual computing use computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity concerning volume, veracity, velocity, and variety has increased considerably. This is due to new data sources as well as the availability of uncertainty, error, and tolerance information. Instead of individual objects entire sets, collections, and ensembles are visually investigated. There is a need for visual analyses, comparative visualization, quantitative visualizations, scalable visualizations, and linked/integrated views. Several examples of interactively and visually analyzing data will be discussed in detail. These include: geospatial decision support, radiation therapy planning, and integrative cell biology. Given the amplified data variability, interactive visual data analyses are likely to gain in importance in the future. Research challenges and directions are sketched at the end of the talk.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "event": "Conference on Image and Graphics Technology and Application (IGTA) 2021", "location": "Bejing ", "open_access": "yes", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "http://www.bsig.org.cn/detail/2420", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Groeller_V3_2020/", "__class": "Publication" }, { "id": "Iijima-2020-iV", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/58172", "title": "Visualization of Semantic Differential Studies with a Large Number of Images, Participants and Attributes", "date": "2020-09-07", "abstract": "The Semantic Differential (SD) Method is a rating scale to measure the semantics. Attributes of SD are constructed by collecting the responses of participant’s impres- sions of the objects expressed through Likert scales representing multiple contrasting with some adjective pairs, for example, dark and bright, formal and casual, etc. Impression evaluation can be used as an index that reflects a human subjective feelings to some extent. Impression evaluations using the SD method consist of the responses of many participants, and therefore, the individual differences in the impressions of the participants greatly affect the content of the data. In this study, we propose a visualization system to analyze three aspects of SD, objects (images), participants, and attributes defined by adjective pairs. We visualize the impression evaluation data by applying dimension reduction so that, users can discover the trends and outliers of the data, such as images that are hard to judge or participants that act unpredictably. The system firstly visualizes the attributes or color distribution of the images by applying a dimensional reduction method to the impression or RGB values of each image. Then, our approach displays the average and median of each attribute near the images. This way, we can visualize the three aspects of objects, participants and attributes on a single screen and observe the relationships between image features and user impressions / attribute space. We introduce visualization examples of our system with the dataset inviting 21 participants who performed impression evaluations with 300 clothing images.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 479, "image_height": 339, "name": "Iijima-2020-iV-image.png", "type": "image/png", "size": 104231, "path": "Publication:Iijima-2020-iV", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/Iijima-2020-iV-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/Iijima-2020-iV-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1787, 1754, 1464, 1366 ], "booktitle": "Proceedings of the 24th International Conference on Information Visualisation (iV2020)", "cfp": { "name": "CFP-iV2020.pdf", "type": "application/pdf", "error": "0", "size": "59112", "orig_name": "CFP-iV2020.pdf", "ext": "pdf" }, "event": "The 24th International Conference on Information Visualisation (iV2020)", "lecturer": [ 1787 ], "pages_from": "1", "pages_to": "6", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 479, "image_height": 339, "name": "Iijima-2020-iV-image.png", "type": "image/png", "size": 104231, "path": "Publication:Iijima-2020-iV", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/Iijima-2020-iV-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/Iijima-2020-iV-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Iijima-2020-iV-paper.pdf", "type": "application/pdf", "size": 4114864, "path": "Publication:Iijima-2020-iV", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/Iijima-2020-iV-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/Iijima-2020-iV-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/", "__class": "Publication" }, { "id": "Kuroko-2020-iV", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/58251", "title": "Visualization of Correlations between Places of Music Listening and Acoustic Features ", "date": "2020-09-07", "abstract": "Users often choose songs with respect to special situations and environments. We designed and developed a music recommendation method inspired by this fact. This method selects songs based on the distribution of acoustic features of the songs listened by a user at particular places that have higher ordinariness for the user. It is important to verify the relationship between the places where the songs are listened to and the acoustic features in this. Hence, we conducted the visualization to explore potential correlations between geographic locations and the music features of single users. In this paper, we designed an interactive visualization tool methods and results for the analysis of the relationship between the places and the acoustic features while listening to the songs.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 491, "image_height": 364, "name": "Kuroko-2020-iV-image.png", "type": "image/png", "size": 94249, "path": "Publication:Kuroko-2020-iV", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/Kuroko-2020-iV-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/Kuroko-2020-iV-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1785, 1786, 1754, 1366, 1464 ], "booktitle": "Proceedings of the 24th International Conference on Information Visualisation (iV2020)", "cfp": { "name": "CFP-iV2020.pdf", "type": "application/pdf", "error": "0", "size": "59112", "orig_name": "CFP-iV2020.pdf", "ext": "pdf" }, "event": "The 24th International Conference on Information Visualisation (iV2020)", "lecturer": [ 1785 ], "pages_from": "1", "pages_to": "6", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 491, "image_height": 364, "name": "Kuroko-2020-iV-image.png", "type": "image/png", "size": 94249, "path": "Publication:Kuroko-2020-iV", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/Kuroko-2020-iV-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/Kuroko-2020-iV-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kuroko-2020-iV-paper.pdf", "type": "application/pdf", "size": 1282476, "path": "Publication:Kuroko-2020-iV", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/Kuroko-2020-iV-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/Kuroko-2020-iV-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/", "__class": "Publication" }, { "id": "Purchase-2020-gd", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/58252", "title": "The Turing Test for Graph Drawing Algorithms", "date": "2020-09", "abstract": "DoalgorithmsfordrawinggraphspasstheTuringTest?That is, are their outputs indistinguishable from graphs drawn by humans? We address this question through a human-centred experiment, focusing on ‘small’ graphs, of a size for which it would be reasonable for someone to choose to draw the graph manually. Overall, we find that hand-drawn layouts can be distinguished from those generated by graph drawing al- gorithms, although this is not always the case for graphs drawn by force- directed or multi-dimensional scaling algorithms, making these good can- didates for Turing Test success. We show that, in general, hand-drawn graphs are judged to be of higher quality than automatically generated ones, although this result varies with graph size and algorithm.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "Purchase-2020-gd-image.png", "type": "image/png", "size": 29720, "path": "Publication:Purchase-2020-gd", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1623, 1619, 1783, 1579, 1784, 1464 ], "booktitle": "Proceedings of the 28th International Symposium on Graph Drawing and Network Visualization (GD2020)", "cfp": { "name": "gd20-cfp.pdf", "type": "application/pdf", "error": "0", "size": "182950", "orig_name": "gd20-cfp.pdf", "ext": "pdf" }, "event": "28th International Symposium on Graph Drawing and Network Visualization ", "lecturer": [ 1623 ], "pages_from": "1", "pages_to": "16", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "Purchase-2020-gd-image.png", "type": "image/png", "size": 29720, "path": "Publication:Purchase-2020-gd", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Purchase-2020-gd-paper.pdf", "type": "application/pdf", "size": 3933269, "path": "Publication:Purchase-2020-gd", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/", "__class": "Publication" }, { "id": "Presch_2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/15583", "title": "Semi-Automatic Creation of Concept Maps", "date": "2020-08-20", "abstract": "Concept maps are a method for the visualization of knowledge and an established tool in education, knowledge organization and a variety of other fields. They are composed of concepts and interlinked relations between them and are displayed as a node-link diagram. Concept map mining is the process of extracting concept maps from unstructured text. The three approaches to mine concept maps are: manual, semi-automatic or fully automatic. A fully automatic approach cannot mirror the mental knowledge model, which a user would transfer to a manually created concept map. The manual process is often perceived as tedious and ineÿcient, limiting a wide-range application of concept maps.\nThis thesis presents a semi-automatic concept map mining approach that tries to bridge the gap between all manual construction and fully automatic approaches. The advantage of this approach is that the users still have control over how their concept map is constructed, but are not impeded by manual tasks that are often repetitive and ineÿcient. The presented approach is composed of an automatic text processing part, which extracts concepts and relations out of an unstructured text document and is powered by state-of-the-art natural language processing and neural coreference resolution. The second manual concept map creation part allows the creation of concept maps in a user interface and presents the extracted concepts and relations as suggestions to the user.\nIn a user study, an implemented prototype of the proposed semi-automatic concept map mining approach was evaluated. Manual gold standard concept maps that were created by the users and concept maps created by a fully automatic tool were compared to concept maps that were created with the prototype, proving the usefulness of the process. Results show that concept maps created with the semi-automatic prototype are significantly more similar to the gold standard than the ones created by the fully automatic tool. Additionally, considerably improved eÿciency in creation duration and user satisfaction could be observed in comparison to the manual creation of the gold standard maps.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1423, "image_height": 654, "name": "Presch_2020-teaser.png", "type": "image/png", "size": 262144, "path": "Publication:Presch_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Presch_2020/Presch_2020-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Presch_2020/Presch_2020-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1687 ], "co_supervisor": [ 1110 ], "date_end": "2020-08-20", "date_start": "2020-01-23", "diploma_examina": "2020-08-20", "doi": "10.34726/hss.2020.70123", "matrikelnr": "0602554", "open_access": "yes", "pages": "122", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [ "Concept Map", "Natural language processing", "NLP" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Presch_2020-Master Thesis.pdf", "type": "application/pdf", "size": 5681227, "path": "Publication:Presch_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Presch_2020/Presch_2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Presch_2020/Presch_2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Presch_2020-Poster.pdf", "type": "application/pdf", "size": 743440, "path": "Publication:Presch_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Presch_2020/Presch_2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Presch_2020/Presch_2020-Poster:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1423, "image_height": 654, "name": "Presch_2020-teaser.png", "type": "image/png", "size": 262144, "path": "Publication:Presch_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Presch_2020/Presch_2020-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Presch_2020/Presch_2020-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Presch_2020/", "__class": "Publication" }, { "id": "Bechtold2020", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Getting Insight on Animal Behaviour through Interactive Visualization of Multiple T-Maze Ensembles", "date": "2020-08-20", "abstract": "behaviourists and ethologists study cognitive abilities such as learning and memory in rodents to get a better understanding of how similar processes in humans proceed. Often such studies are based on experiments of rodents placed and observed in a Multiple T-Maze. There, the path of the animals are recorded as they move inside the maze, and the resulting trajectories are then analysed. State-of-the-art analysis is based on descriptive parameters and standard statistics where one trajectory at a time is analysed. Usually it is not possible to examine multiple animal paths simultaneously. Together with experts on the field we abstracted the typical work-flow of such analyses and developed an interactive visual analytics tool, with the goal to facilitate the experts’ work and enable a deeper and novel understanding of the learning ability and decision making in rodents. After giving an overview of related works and computer-aided analysis tools in the beginning, the analysis demands and task-breakdown is presented, followed by an Explanation of the data acquisition process, data preprocessing and aggregation. The underlying data structure will be explained as well. The developed analysis tool — the T-Maze Explorer — supports multiple, linked views, which support several traditional methods of visualizations, as well as two newly proposed visualizations fitted to meet the experts’ analysis demands. The first view — the T-Maze View — displays all trajectories of an ensemble with additional options such as highlighting the return path. The purpose of the second view — the Gate-O-Gon view — is to extract information from the trajectories on how often returns in the path occurred and between which parts of the maze these occurred. This information is depicted in a compact and informative novel visualization. The purpose of the T-Maze Explorer is to enable its user to easily find patterns in the data and identify irregular behaviour while inspecting a single path, multiple or the whole trajectory ensemble simultaneously. This thesis provides an insight on how the proposed visualizations were developed, the T-Maze Explorer’s characteristics and benefits as well as it’s limitations. Lastly, a brief excerpt is given on how the T-Maze Explorer could be extended in the future.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 341, "image_height": 306, "name": "Bechtold2020-image.JPG", "type": "image/jpeg", "size": 23611, "path": "Publication:Bechtold2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/Bechtold2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/Bechtold2020-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1778 ], "date_end": "2020-08-20", "date_start": "2020-03-02", "matrikelnr": "00827420", "supervisor": [ 235 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Bechtold2020-Bachelor thesis.pdf", "type": "application/pdf", "size": 1852939, "path": "Publication:Bechtold2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/Bechtold2020-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/Bechtold2020-Bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 341, "image_height": 306, "name": "Bechtold2020-image.JPG", "type": "image/jpeg", "size": 23611, "path": "Publication:Bechtold2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/Bechtold2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/Bechtold2020-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/", "__class": "Publication" }, { "id": "Stoll2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/15401", "title": " Tactile Multi-Media Guide - Interaction design on tactile reliefs", "date": "2020-08-18", "abstract": "This thesis was part of the three year ARCHES project. We have set ourselves the goal to create an inclusive cultural environment. The main contribution of this thesis is the development of a new Tactile Multi-Media Guide (TMG). The TMG is an interaction design on tactile reliefs, which makes art accessible for visitors with various visual, hearing and cognitive access preferences. Over 200 people with diverse disabilities from participatory research groups in London, Madrid, Oviedo and Vienna met in the museums, developed ideas, tested and helped shape the prototypes. This thesis establishes a Design for all mixed reality prototype, where users can explore six artworks with their hands and trigger information with specific gestures. The TMG provides information in form of audio files, subtitles, sign language videos, as well as texts. It also supports visitors with learning difficulties with an easy read version. This thesis shows that experiencing art can be interesting and accessible for everyone. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 500, "image_height": 667, "name": "Stoll2020-Image.jpg", "type": "image/jpeg", "size": 80416, "path": "Publication:Stoll2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1810 ], "date_end": "2020-08-18", "date_start": "2019-09-20", "diploma_examina": "2020-08-18", "doi": "10.34726/hss.2020.58901", "matrikelnr": "00804929", "open_access": "yes", "pages": "87", "supervisor": [ 190 ], "research_areas": [ "IllVis" ], "keywords": [ "Interaction", "human-centered design", "multimedia", "tactile" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 500, "image_height": 667, "name": "Stoll2020-Image.jpg", "type": "image/jpeg", "size": 80416, "path": "Publication:Stoll2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Stoll2020-Master Thesis.pdf", "type": "application/pdf", "size": 3591058, "path": "Publication:Stoll2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Stoll2020-Poster.pdf", "type": "application/pdf", "size": 4009292, "path": "Publication:Stoll2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/", "__class": "Publication" }, { "id": "riegler_2020_framework", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "High-Performance Framework for Dataset Generation", "date": "2020-08-05", "abstract": "The aim of this bachelor thesis is the development of a Python framework. The main task for this framework is the generation of datasets, which can be further used for surface reconstruction. They are needed for training a neural network, which is then able to reconstruct meshes on its own given a point cloud of a mesh. In order to optimize the training of the neural network, a lot of training data is needed. This framework utilizes multi-processing to achieve a faster generation process in comparison to sequentially generating one mesh after another.\n\nIn addition, the framework is also able to handle any kind of similar pipeline. The user is able to define the steps of such pipeline in an XML document, which then can make calls to arbitrary programs. This fact makes the framework an all-purpose tool for any kind of task that needs to process a lot of data independent from each other.\n\nThe results show a great performance increase when generating datasets. This can be seen in the benchmarks that have been done. The time of execution for a fixed amount of files has been measured with different modes of execution. The custom process pool we developed shows a faster time overall compared to using Python's process pool for each step of the pipeline independently. It is also way faster in comparison to running every step for each file sequentially.", "authors_et_al": false, "substitute": null, "main_image": { "description": "The processing steps of the dataset generation shown as a graph.", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1229, "image_height": 755, "name": "riegler_2020_framework-teaser.png", "type": "image/png", "size": 87801, "path": "Publication:riegler_2020_framework", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/riegler_2020_framework/riegler_2020_framework-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/riegler_2020_framework/riegler_2020_framework-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1758 ], "date_end": "2020-08-05", "date_start": "2020-04-02", "matrikelnr": "1634877", "supervisor": [ 1395 ], "research_areas": [ "Geometry" ], "keywords": [ "dataset generation", "framework", "surface reconstruction" ], "weblinks": [], "files": [ { "description": "The processing steps of the dataset generation shown as a graph.", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1229, "image_height": 755, "name": "riegler_2020_framework-teaser.png", "type": "image/png", "size": 87801, "path": "Publication:riegler_2020_framework", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/riegler_2020_framework/riegler_2020_framework-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/riegler_2020_framework/riegler_2020_framework-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": true, "access": "public", "name": "riegler_2020_framework-thesis.pdf", "type": "application/pdf", "size": 708911, "path": "Publication:riegler_2020_framework", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/riegler_2020_framework/riegler_2020_framework-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/riegler_2020_framework/riegler_2020_framework-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/riegler_2020_framework/", "__class": "Publication" }, { "id": "OTEPKA-2020-PPC", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Efficient Loading and Visualization of Massive Feature-Richt Point Clouds Without Hierarchical Acceleration Structures", "date": "2020-08", "abstract": "Nowadays, point clouds are the standard product when capturing reality independent of scale and measurement technique. Especially, Dense Image Matching (DIM) and Laser Scanning (LS) are state of the art capturing methods for a great variety of applications producing detailed point clouds up to billions of points. In-depth analysis of such huge point clouds typically requires sophisticated spatial indexing structures to support potentially long-lasting automated non-interactive processing tasks like feature extraction, semantic labelling, surface generation, and the like. Nevertheless, a visual inspection of the point data is often necessary to obtain an impression of the scene, roughly check for completeness, quality, and outlier rates of the captured data in advance. Also intermediate processing results, containing additional per-point computed attributes, may require visual analyses to draw conclusions or to parameterize further processing. Over the last decades a variety of commercial, free, and open source viewers have been developed that can visualise huge point clouds and colorize them based on available attributes. However, they have either a poor loading and navigation performance, visualize only a subset of the points, or require the creation of spatial indexing structures in advance. In this paper, we evaluate a progressive method that is capable of rendering any point cloud that fits in GPU memory in real time without the need of time consuming hierarchical acceleration structure generation. In combination with our multi-threaded LAS and LAZ loaders, we achieve load performance of up to 20 million points per second, display points already while loading, support flexible switching between different attributes, and rendering up to one billion points with visually appealing navigation behaviour. Furthermore, loading times of different data sets for different open source and commercial software packages are analysed.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 521, "image_height": 591, "name": "OTEPKA-2020-PPC-image.jpg", "type": "image/jpeg", "size": 59602, "path": "Publication:OTEPKA-2020-PPC", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/OTEPKA-2020-PPC/OTEPKA-2020-PPC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/OTEPKA-2020-PPC/OTEPKA-2020-PPC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1701, 1700, 1116, 1797, 193 ], "cfp": { "name": "isprs-archives-XLIII-B2-2020-1-2020.pdf", "type": "application/pdf", "error": "0", "size": "1916748", "orig_name": "isprs-archives-XLIII-B2-2020-1-2020.pdf", "ext": "pdf" }, "date_from": "2020-08-31", "date_to": "2020-09-02", "doi": "10.5194/isprs-archives-XLIII-B2-2020-293-2020", "event": "XXIV ISPRS Congress (2020 edition)", "issn": "1682-1750", "journal": "ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences", "lecturer": [ 1701 ], "location": "online", "open_access": "yes", "pages_from": "293", "pages_to": "300", "volume": "XLIII-B2-2020", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 521, "image_height": 591, "name": "OTEPKA-2020-PPC-image.jpg", "type": "image/jpeg", "size": 59602, "path": "Publication:OTEPKA-2020-PPC", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/OTEPKA-2020-PPC/OTEPKA-2020-PPC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/OTEPKA-2020-PPC/OTEPKA-2020-PPC-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "OTEPKA-2020-PPC-paper.pdf", "type": "application/pdf", "size": 17113367, "path": "Publication:OTEPKA-2020-PPC", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/OTEPKA-2020-PPC/OTEPKA-2020-PPC-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/OTEPKA-2020-PPC/OTEPKA-2020-PPC-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "External", "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/OTEPKA-2020-PPC/", "__class": "Publication" }, { "id": "Sebernegg2020", "type_id": "techreport", "tu_id": null, "repositum_id": "20.500.12708/40238", "title": "Motion Similarity Modeling - A State of the Art Report", "date": "2020-08", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "MoSiMo", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1278, "image_height": 887, "name": "Sebernegg2020-MoSiMo.jpg", "type": "image/jpeg", "size": 148448, "path": "Publication:Sebernegg2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Sebernegg2020/Sebernegg2020-MoSiMo.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Sebernegg2020/Sebernegg2020-MoSiMo:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1804, 1720, 378 ], "number": "TR-193-02-2020-5", "open_access": "yes", "research_areas": [ "VR" ], "keywords": [], "weblinks": [ { "href": "https://arxiv.org/abs/2008.05872", "caption": "arXiv", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "MoSiMo", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1278, "image_height": 887, "name": "Sebernegg2020-MoSiMo.jpg", "type": "image/jpeg", "size": 148448, "path": "Publication:Sebernegg2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Sebernegg2020/Sebernegg2020-MoSiMo.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Sebernegg2020/Sebernegg2020-MoSiMo:thumb{{size}}.png" } ], "projects_workgroups": [ "vr" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Sebernegg2020/", "__class": "Publication" }, { "id": "freude_2020_rs", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "R-Score: A Novel Approach to Compare Monte Carlo Renderings", "date": "2020-08", "abstract": "In this paper, we propose a new approach for the comparison and analysis of Monte Carlo (MC) rendering algorithms. It is based on a novel similarity measure called render score (RS) that is specically designed for MC rendering, statistically motivated, and incorporates bias and variance. Additionally, we propose a comparison scheme that alleviates the need for practically converged reference images (RIs). Our approach can be used to compare and analyze dierent rendering methods by revealing detailed (per-pixel) dierences and subsequently potential conceptual or implementation-related issues, thereby offering a more informative and meaningful alternative to commonly used metrics.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser-image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 630, "image_height": 533, "name": "freude_2020_rs-teaser-image.png", "type": "image/png", "size": 89069, "path": "Publication:freude_2020_rs", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/freude_2020_rs-teaser-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/freude_2020_rs-teaser-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1128, 1129, 1073, 193 ], "number": "TR-193-02-2020-4", "open_access": "no", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser-image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 630, "image_height": 533, "name": "freude_2020_rs-teaser-image.png", "type": "image/png", "size": 89069, "path": "Publication:freude_2020_rs", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/freude_2020_rs-teaser-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/freude_2020_rs-teaser-image:thumb{{size}}.png" }, { "description": null, "filetitle": "technical-report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "freude_2020_rs-technical-report.pdf", "type": "application/pdf", "size": 1215341, "path": "Publication:freude_2020_rs", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/freude_2020_rs-technical-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/freude_2020_rs-technical-report:thumb{{size}}.png" } ], "projects_workgroups": [ "OpenData" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/", "__class": "Publication" }, { "id": "honic-2020-w78", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/62920", "title": "Scan to BIM for the Semi-Automated Generation of a Material Passport for an Existing Building", "date": "2020-08", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1798, 1799, 1800, 193 ], "booktitle": " Proceedings of the 37th International Conference of CIB W78", "cfp": { "name": "ICCCBE-CIBW78 2020 in São Paulo - Brazil.pdf", "type": "application/pdf", "error": "0", "size": "733465", "orig_name": "ICCCBE-CIBW78 2020 in São Paulo - Brazil.pdf", "ext": "pdf" }, "event": "Proceedings of the 37th International Conference of CIB W78, Sao Paulo - online", "pages_from": "338", "pages_to": "346", "research_areas": [ "Modeling" ], "keywords": [], "weblinks": [ { "href": "https://itc.scix.net/paper/w78-2020-paper-024", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/honic-2020-w78/", "__class": "Publication" }, { "id": "brugger-2020-tdp", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Test Scene Design for Physically Based Rendering", "date": "2020-08", "abstract": "Physically based rendering is a discipline in computer graphics which aims at reproducing certain light and material appearances that occur in the real world. Complex scenes can be difficult to compute for rendering algorithms. This paper introduces a new comprehensive test database of scenes that treat different light setups in conjunction with diverse materials and discusses its design principles. A lot of research is focused on the development of new algorithms that can deal with difficult light conditions and materials efficiently. This database delivers a comprehensive foundation for evaluating existing and newly developed rendering techniques. A final evaluation compares different results of different rendering algorithms for all scenes.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser-image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1600, "image_height": 900, "name": "brugger-2020-tdp-teaser-image.png", "type": "image/png", "size": 1883053, "path": "Publication:brugger-2020-tdp", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/brugger-2020-tdp-teaser-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/brugger-2020-tdp-teaser-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1780, 1128, 193 ], "open_access": "no", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [ { "href": "https://arxiv.org/abs/2008.11657", "caption": "arXiv", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "brugger-2020-tdp-paper.pdf", "type": "application/pdf", "size": 45483139, "path": "Publication:brugger-2020-tdp", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/brugger-2020-tdp-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/brugger-2020-tdp-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser-image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1600, "image_height": 900, "name": "brugger-2020-tdp-teaser-image.png", "type": "image/png", "size": 1883053, "path": "Publication:brugger-2020-tdp", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/brugger-2020-tdp-teaser-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/brugger-2020-tdp-teaser-image:thumb{{size}}.png" } ], "projects_workgroups": [ "OpenData" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/", "__class": "Publication" }, { "id": "Nowak_2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/16969", "title": "Hierarchical Multi-resolution Data Structure for Molecular Visualization", "date": "2020-07-27", "abstract": "The complexity of biomolecular data sets is both high, and still rising. Three-dimensional models of molecules are used in research to test and investigate their properties. Such models can consist of several millions of atoms. Additionally, visual enhancement methods\nand molecular surface models are helpful when visualizing molecules. There is therefore a demand for efficient and flexible data structures to accommodate such large point-based data sets.\nExisting solutions in the field of molecular visualization for large data sets include the use of, in most cases, regular grid-based data structures, as well as levels of detail. Other papers focus on repeating structures or improving the efficiency of surface models.\nWe propose an octree-based data structure that divides space into areas of similar density, and provides several levels of detail. Our approach is optimized for a single time-step, moving much of the computational overhead into a pre-processing step. This allows us to speed up frame rates for interactive visualizations using visibility culling, least recently used caching based on the pre-built octree data structure, and level of detail solutions such as depth-based level of detail rendering.\nIn our evaluation, we show that level of detail rendering significantly improves frame rates, especially in the case of distance-based level of detail selection while keeping the amount of details in the foreground high. Both the possibility to reduce the resolution and the\ncaching strategy that allows us to only upload visible parts of the data set make it possible to render data sets that previously exhausted the capacities of our test set-up. We found the main advantage of a density based octree, instead of a regular division of space, to be\nin neighbourhood-based calculations, such as the clustering algorithm required to build levels of detail. This could prove particularly useful for the implementation of a Solvent Excluded Surface (SES) representation model, which would be an important feature to include when developing the framework further.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1068, "image_height": 324, "name": "Nowak_2020-Image.JPG", "type": "image/jpeg", "size": 105988, "path": "Publication:Nowak_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Nowak_2020/Nowak_2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Nowak_2020/Nowak_2020-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1923 ], "date_end": "2020-07-27", "date_start": "2010-02-21", "diploma_examina": "2020-07-27", "doi": "10.34726/hss.2021.53962", "matrikelnr": "0927584", "open_access": "yes", "pages": "110", "supervisor": [ 161 ], "research_areas": [ "BioVis" ], "keywords": [ "Molecular Visualization", "Real-Time Rendering", "Computer Graphics" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1068, "image_height": 324, "name": "Nowak_2020-Image.JPG", "type": "image/jpeg", "size": 105988, "path": "Publication:Nowak_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Nowak_2020/Nowak_2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Nowak_2020/Nowak_2020-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Nowak_2020-Master Thesis.pdf", "type": "application/pdf", "size": 4783960, "path": "Publication:Nowak_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Nowak_2020/Nowak_2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Nowak_2020/Nowak_2020-Master Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Nowak_2020/", "__class": "Publication" }, { "id": "Neubauer2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/15249", "title": "Volumetric Image Segmentation on Multimodal Medical Images using Deep Learning", "date": "2020-07-25", "abstract": "The automatic segmentation of tumors on different imaging modalities supports medical experts in patient diagnosis and treatment. Magnetic resonance imaging (MRl), Computed Tomography (CT), or Positron Emission Tomography (PET) show the tumor in a different anatomical. functional, or molecular context. The fusion of this multimodal information leads to more profound knowledge and enabler more precise diagnoses. So far, the potential of multimodal data is only used by a few established segmentation methods. Moreover, much less is known about multimodal methods that provide several multimodal-specific tumor segmentations instead of single segmentations for a specific modality. \nThis thesis aims to develop a segmentation method that uses multimodal context to improve t the modality-specific segmentation results. For the implementation, an artificial neural network is used, which is based on a fully convolution neural network. The network architecture has been designed to learn complex multimodal features to predict multiple tumor segmentations on different modalities efficiently. \nThe evaluation is based on a dataset consisting of MRl aid PET /CT scans of soft soft tissue tumors. The experiment investigated how different network architectures, multimodal fusion strategies, and input modalities affect the segmentation results. Tbc investigation showed that multimodal rondels lead to significantly better results than models for single modalities. Promising results have been achieved with multimodal models that segment several modality-specific tumor contours simultaneously.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 236, "image_height": 286, "name": "Neubauer2020-image.JPG", "type": "image/jpeg", "size": 23529, "path": "Publication:Neubauer2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Neubauer2020/Neubauer2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Neubauer2020/Neubauer2020-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1777 ], "co_supervisor": [ 231 ], "date_end": "2020-07-25", "date_start": "2019-12-10", "diploma_examina": "2020-08-05", "doi": "10.34726/hss.2020.73220", "matrikelnr": "01609920", "open_access": "yes", "pages": "118", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [ "tumor segmentation", "deep learning" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 236, "image_height": 286, "name": "Neubauer2020-image.JPG", "type": "image/jpeg", "size": 23529, "path": "Publication:Neubauer2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Neubauer2020/Neubauer2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Neubauer2020/Neubauer2020-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Neubauer2020-Master Thesis.pdf", "type": "application/pdf", "size": 9032923, "path": "Publication:Neubauer2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Neubauer2020/Neubauer2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Neubauer2020/Neubauer2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Neubauer2020-Poster.pdf", "type": "application/pdf", "size": 9820244, "path": "Publication:Neubauer2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Neubauer2020/Neubauer2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Neubauer2020/Neubauer2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Neubauer2020/", "__class": "Publication" }, { "id": "kerbl-2020-improvencoding", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Improved Triangle Encoding for Cached Adaptive Tessellation", "date": "2020-07", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Lod", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1680, "image_height": 850, "name": "kerbl-2020-improvencoding-Lod.png", "type": "image/png", "size": 19386, "path": "Publication:kerbl-2020-improvencoding", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/kerbl-2020-improvencoding-Lod.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/kerbl-2020-improvencoding-Lod:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1772, 1650, 193 ], "cfp": { "name": "cfp.pdf", "type": "application/pdf", "error": "0", "size": "1255664", "orig_name": "cfp.pdf", "ext": "pdf" }, "date_from": "2020-05-01", "date_to": "2020-06-22", "event": "HPG 2020", "location": "online", "open_access": "yes", "research_areas": [ "Rendering" ], "keywords": [ "GPU", "tessellation", "real-time" ], "weblinks": [ { "href": "https://www.highperformancegraphics.org/2020/program/", "caption": "HPG 2020 page with download link", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Lod", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1680, "image_height": 850, "name": "kerbl-2020-improvencoding-Lod.png", "type": "image/png", "size": 19386, "path": "Publication:kerbl-2020-improvencoding", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/kerbl-2020-improvencoding-Lod.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/kerbl-2020-improvencoding-Lod:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kerbl-2020-improvencoding-paper.pdf", "type": "application/pdf", "size": 2356615, "path": "Publication:kerbl-2020-improvencoding", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/kerbl-2020-improvencoding-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/kerbl-2020-improvencoding-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kerbl-2020-improvencoding-poster.pdf", "type": "application/pdf", "size": 1126638, "path": "Publication:kerbl-2020-improvencoding", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/kerbl-2020-improvencoding-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/kerbl-2020-improvencoding-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "terrain", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1680, "image_height": 850, "name": "kerbl-2020-improvencoding-terrain.png", "type": "image/png", "size": 1397504, "path": "Publication:kerbl-2020-improvencoding", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/kerbl-2020-improvencoding-terrain.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/kerbl-2020-improvencoding-terrain:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/", "__class": "Publication" }, { "id": "miao_nar_2020", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/141025", "title": "Adenita: interactive 3D modelling and visualization of DNA nanostructures", "date": "2020-07", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1229, "preview_image_height": 579, "name": "miao_nar_2020-.pdf", "type": "application/pdf", "size": 1444761, "path": "Publication:miao_nar_2020", "preview_name": "miao_nar_2020-:preview.png", "preview_type": "image/png", "preview_size": 391675, "url": "https://www.cg.tuwien.ac.at/research/publications/2020/miao_nar_2020/miao_nar_2020-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/miao_nar_2020/miao_nar_2020-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1474, 1263, 1471, 1774, 1775, 171, 1473 ], "doi": "10.1093/nar/gkaa593", "journal": "Nucleic Acids Research", "research_areas": [ "BioVis", "IllVis", "Modeling" ], "keywords": [], "weblinks": [ { "href": "https://academic.oup.com/nar/article-pdf/doi/10.1093/nar/gkaa593/33517747/gkaa593.pdf", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1229, "preview_image_height": 579, "name": "miao_nar_2020-.pdf", "type": "application/pdf", "size": 1444761, "path": "Publication:miao_nar_2020", "preview_name": "miao_nar_2020-:preview.png", "preview_type": "image/png", "preview_size": 391675, "url": "https://www.cg.tuwien.ac.at/research/publications/2020/miao_nar_2020/miao_nar_2020-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/miao_nar_2020/miao_nar_2020-:thumb{{size}}.png" } ], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/miao_nar_2020/", "__class": "Publication" }, { "id": "reznicek-2020-fpgaray", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/15010", "title": "FPGARay: Accelerating Physically Based Rendering Using FPGAs", "date": "2020-06-30", "abstract": "The synthesis of an image from a scene stored on a computer is called rendering, which is able to deliver photo-realistic results, e.g., by using specific variants of the class of ray tracing\nalgorithms. However, these variants (e.g., path tracing) possess a stochastic characteristic which results in a high computational expense. This is explained by the nature of stochastic algorithms, which use a high number of samples to compute a result—in case of ray tracing, these samples manifest in a high number of rays needed for a complete rendering.\n\nOne possibility to accelerate ray tracing—no matter if using a stochastic or simpler variants—is the use of customized hardware. FPGRay is such an approach, which combines the use of customized hardware with the software of an off-the-shelf PC to a hybrid solution. This allows increasing the efficiency by specialized hardware and delivers a sustainability in case of changing algorithms at the same time.\n\nThe results point towards a possible efficiency gain. Unfortunately, in the scope of this thesis this was not realizable and the specific implementation showed a lower efficiency compared to the software implementation. Nevertheless, the possibility to achieve a higher efficiency with this approach by indicating FPGRay’s potential could be shown.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2473, "image_height": 1643, "name": "reznicek-2020-fpgaray-image.jpg", "type": "image/jpeg", "size": 222318, "path": "Publication:reznicek-2020-fpgaray", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reznicek-2020-fpgaray/reznicek-2020-fpgaray-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/reznicek-2020-fpgaray/reznicek-2020-fpgaray-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1541 ], "date_end": "2020-06-30", "date_start": "2017-03-16", "diploma_examina": "2020-06-30", "doi": "10.34726/hss.2020.45543", "matrikelnr": "01125076", "open_access": "yes", "pages": "121", "supervisor": [ 1129, 193 ], "research_areas": [ "Rendering" ], "keywords": [ "Rendering", "FPGA", "hardware acceleration", "ray tracing", "path tracing" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2473, "image_height": 1643, "name": "reznicek-2020-fpgaray-image.jpg", "type": "image/jpeg", "size": 222318, "path": "Publication:reznicek-2020-fpgaray", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reznicek-2020-fpgaray/reznicek-2020-fpgaray-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/reznicek-2020-fpgaray/reznicek-2020-fpgaray-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "reznicek-2020-fpgaray-poster.pdf", "type": "application/pdf", "size": 758792, "path": "Publication:reznicek-2020-fpgaray", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reznicek-2020-fpgaray/reznicek-2020-fpgaray-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/reznicek-2020-fpgaray/reznicek-2020-fpgaray-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "reznicek-2020-fpgaray-thesis.pdf", "type": "application/pdf", "size": 19196600, "path": "Publication:reznicek-2020-fpgaray", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reznicek-2020-fpgaray/reznicek-2020-fpgaray-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/reznicek-2020-fpgaray/reznicek-2020-fpgaray-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reznicek-2020-fpgaray/", "__class": "Publication" }, { "id": "zsolnaifeher-2020-pme", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/141026", "title": "Photorealistic Material Editing Through Direct Image Manipulation", "date": "2020-06-29", "abstract": "Creating photorealistic materials for light transport algorithms requires carefully fine-tuning a set of material properties to achieve a desired artistic effect. This is typically a lengthy process that involves a trained artist with specialized knowledge. In this work, we present a technique that aims to empower novice and intermediate-level users to synthesize high-quality photorealistic materials by only requiring basic image processing knowledge. In the proposed workflow, the user starts with an input image and applies a few intuitive transforms (e.g., colorization, image inpainting) within a 2D image editor of their choice, and in the next step, our technique produces a photorealistic result that approximates this target image. Our method combines the advantages of a neural network-augmented optimizer and an encoder neural network to produce high-quality output results within 30 seconds. We also demonstrate that it is resilient against poorly-edited target images and propose a simple extension to predict image sequences with a strict time budget of 1-2 seconds per image.\n\nVideo: https://www.youtube.com/watch?v=8eNHEaxsj18", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 883, "image_height": 934, "name": "zsolnaifeher-2020-pme-image.jpg", "type": "image/jpeg", "size": 239774, "path": "Publication:zsolnaifeher-2020-pme", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1073, 194, 193 ], "cfp": { "name": "[Members] Updated EGSR CFP.eml", "type": "message/rfc822", "error": "0", "size": "23492", "orig_name": "[Members] Updated EGSR CFP.eml", "ext": "eml" }, "date_from": "2020-06-29", "date_to": "2020-07-03", "doi": "10.1111/cgf.14057", "event": "Eurographics Symposium on Rendering 2020", "first_published": "2020-07-20", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1073 ], "location": "London, UK", "number": "4", "open_access": "yes", "pages": "14", "pages_from": "107", "pages_to": "120", "volume": "39", "research_areas": [ "Rendering" ], "keywords": [ "neural rendering", "neural networks", "photorealistic rendering", "photorealistic material editing" ], "weblinks": [ { "href": "https://users.cg.tuwien.ac.at/zsolnai/gfx/photorealistic-material-editing/", "caption": "Source code", "description": null, "main_file": 0 }, { "href": "https://www.youtube.com/watch?v=8eNHEaxsj18", "caption": "Supplementary video", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 883, "image_height": 934, "name": "zsolnaifeher-2020-pme-image.jpg", "type": "image/jpeg", "size": 239774, "path": "Publication:zsolnaifeher-2020-pme", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image:thumb{{size}}.png" }, { "description": null, "filetitle": "image2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2768, "image_height": 2959, "name": "zsolnaifeher-2020-pme-image2.jpg", "type": "image/jpeg", "size": 976205, "path": "Publication:zsolnaifeher-2020-pme", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image2.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image2:thumb{{size}}.png" }, { "description": null, "filetitle": "image3", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2560, "image_height": 1440, "name": "zsolnaifeher-2020-pme-image3.jpg", "type": "image/jpeg", "size": 631004, "path": "Publication:zsolnaifeher-2020-pme", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image3.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image3:thumb{{size}}.png" }, { "description": null, "filetitle": "image4", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2560, "image_height": 1440, "name": "zsolnaifeher-2020-pme-image4.jpg", "type": "image/jpeg", "size": 666732, "path": "Publication:zsolnaifeher-2020-pme", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image4.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image4:thumb{{size}}.png" }, { "description": null, "filetitle": "image5", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3840, "image_height": 2160, "name": "zsolnaifeher-2020-pme-image5.jpg", "type": "image/jpeg", "size": 616892, "path": "Publication:zsolnaifeher-2020-pme", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image5.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image5:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "zsolnaifeher-2020-pme-paper.pdf", "type": "application/pdf", "size": 11320226, "path": "Publication:zsolnaifeher-2020-pme", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "PathSpace" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/", "__class": "Publication" }, { "id": "purgathofer-2020-nan", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "The Role of Visual Computing in the Digitization Process", "date": "2020-06-23", "abstract": "We are living in interesting times, with the fastest technological development that humankind has ever experienced.\nThe last 200 years have brought us the industrial revolution.\nPeople have learned to build machines to release themselves from hard muscle work and from dangerous work.\nPeople have developed new technologies that enabled the realization of dreams from the past like the telephone, the car, the airplane, electrical light, or radio and television.\nAnd industrialization has enabled the production of enough goods for everyone, so that poverty has a much higher threshold today.\nNow we are in the middle of the information revolution, which tries to improve our lives through computers.\nWe are using electronic banking, social media, Computer Aided Design and Manufacturing, tomography diagnosis in medicine, smartphones, GPS, notebooks, computer games, and there are many more appearances of computers in everyday life.\nCurrently we are developing smart cities, digital twins, intelligent factories, autonomous cars and more.\nOur tools include Artificial Intelligence, Deep Learning, fast communication such as 5G, Cloud Computing, Augmented and Virtual Reality, and many others.\nDigital twins, that are digital representations of real world objects, they are the basis for the simulation and augmentation of scenarios, necessary to provide insight for better human decisions.\nIn this context, Visual Computing plays a central role, as it provides the key technologies to include the human into the decision making processes:\n- as the interface between computers and people, - as the most efficient channel to transfer data into users via images.\nVisual computing was also a main driver in developing parallel computing and the GPU. The full potential of visual computing has not yet been exploited in industrial applications, often because real world data are more difficult to handle that clean test data in science labs.\nSix V’s are the six challenges that we have to cope with in visual data processing:\nThe Volume of data is ever increasing. More and more sensors produce more and more data for more and more computers.\nThe Velocity with which such data is produced is steadily increasing.\nThe Variety of data that shall be utilized is becoming more complex. Not only numerical data, but also categorical data, functions, pictures and videos, complex relations shall be processed.\nThe Validity of available data has to be better checked the more data there are. Are some data wrong? Are data missing?\nThe Veracity of data is the next issue. Where do the data come from? Can we trust the data sources? Are some data manipulated or simply made up?\nAnd finally, the Value of our conclusions and results has to be analyzed. Not everything that can be calculated makes the world better.\nThe coping with these 6 V-challenges is essential for the practical utilization of big data.\nBut there is a seventh issue, the Confidentiality of the data. Companies are reluctant to give away their internal data without control who sees or uses them. And people want to maintain some privacy, they want their private data protected, according to data protection laws. Companies like Google or Amazon, but also governments in many countries, store a lot of data about individuals that contradict with such concerns. It must stay one of our most important goals to preserve enough data protection to avoid any misuse of private data. Big data is only a blessing if it is not misused.\nOur research institute VRVis, together with its Chinese partner VR-KB, works in the field of transferring scientific results from visual computing into valuable and innovative products in industry. International cooperation is a success factor in bringing these fields together.\nAnd international conferences such as this one provide the contacts for international cooperation and better understanding between the diverse disciplines profiting from the digitization process.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "event": "Nanjing Tech Week", "location": "Nanjing, China", "research_areas": [], "keywords": [ "visual computing", "digitization" ], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/purgathofer-2020-nan/", "__class": "Publication" }, { "id": "Pilizar_-2020-bachelor", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Artistic Metro Maps", "date": "2020-06-10", "abstract": "The creation of visually pleasing artistic metro maps usually requires a designer and a lot of effort, and while the automatic generation of regular metro maps has been done via several methods, none focus on the artistic aspect. To make the process easier for designers this thesis introduces a method that automatically creates maps that can either be used as they are, or used as baseline for the future design process. The goal of this thesis is to find a method and based on that create a prototype that generates metro maps in arbitrary shapes that simply requires the map and contour as input. Additional parameters are supposed to allow a user to make adjustments if so desired. The general approach is to first prepare the map as well as the contour for the following least squares calculations that reshape the map in a way to fit the contour and then create the look of a typical metro map. To test the algorithm and showcase its results it is applied to two different maps and seven different shapes. These results indicate that the introduced approach is capable of creating metro maps in arbitrary shapes, but need further adjustments by a designer to finalize the map.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1019, "image_height": 870, "name": "Pilizar_-2020-bachelor-image.png", "type": "image/png", "size": 48994, "path": "Publication:Pilizar_-2020-bachelor", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pilizar_-2020-bachelor/Pilizar_-2020-bachelor-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pilizar_-2020-bachelor/Pilizar_-2020-bachelor-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1764 ], "date_end": "2020-06", "date_start": "2019-06", "matrikelnr": "01525787", "supervisor": [ 1464 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1019, "image_height": 870, "name": "Pilizar_-2020-bachelor-image.png", "type": "image/png", "size": 48994, "path": "Publication:Pilizar_-2020-bachelor", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pilizar_-2020-bachelor/Pilizar_-2020-bachelor-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pilizar_-2020-bachelor/Pilizar_-2020-bachelor-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Pilizar_-2020-bachelor-thesis.pdf", "type": "application/pdf", "size": 3508257, "path": "Publication:Pilizar_-2020-bachelor", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pilizar_-2020-bachelor/Pilizar_-2020-bachelor-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pilizar_-2020-bachelor/Pilizar_-2020-bachelor-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pilizar_-2020-bachelor/", "__class": "Publication" }, { "id": "raidou_pingu2020", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/58256", "title": "PINGU Principles of Interactive Navigation for Geospatial Understanding", "date": "2020-06", "abstract": "Monitoring conditions in the periglacial areas of Antarctica helps geographers and geologists to understand physical processes associated with mesoscale land systems. Analyzing these unique temporal datasets poses a significant challenge for domain experts, due to the complex and often incomplete data, for which corresponding exploratory tools are not available. In this paper, we present a novel visual analysis tool for extraction and interactive exploration of temporal measurements captured at the polar station at the James Ross Island in Antarctica. The tool allows domain experts to quickly extract information about the snow level, originating from a series of photos acquired by trail cameras. Using linked views, the domain experts can interactively explore and combine this information with other spatial and non-spatial measures, such as temperature or wind speed, to reveal the interplay of periglacial and aeolian processes. An abstracted interactive map of the area indicates the position of measurement spots to facilitate navigation. The design of the tool was made in tight collaboration with geographers, which resulted in an early prototype, tested in the pilot study. The following version of the tool and its usability has been evaluated in the user study with five domain experts and their feedback was incorporated into the final version, presented in this paper. This version was again discussed with two experts in an informal interview. Within these evaluations, they confirmed the significant benefit of the tool for their research tasks.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1766, 1767, 1768, 1769, 1254, 1410, 1248 ], "booktitle": "2020 IEEE Pacific Visualization Symposium (PacificVis)", "cfp": { "name": "PacificVis 2020 call.pdf", "type": "application/pdf", "error": "0", "size": "168569", "orig_name": "PacificVis 2020 call.pdf", "ext": "pdf" }, "doi": "10.1109/PacificVis48177.2020.7567", "event": "IEEE Pacific Vis 2020", "lecturer": [ 1410 ], "pages_from": "216", "pages_to": "225", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1899, "image_height": 943, "name": "raidou_pingu2020-image.bmp", "type": "image/bmp", "size": 5375154, "path": "Publication:raidou_pingu2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_pingu2020/raidou_pingu2020-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_pingu2020/raidou_pingu2020-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_pingu2020-paper.pdf", "type": "application/pdf", "size": 2925903, "path": "Publication:raidou_pingu2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_pingu2020/raidou_pingu2020-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_pingu2020/raidou_pingu2020-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_pingu2020/", "__class": "Publication" }, { "id": "wu-2020-eurovis-star", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/140650", "title": "A Survey on Transit Map Layout – from Design, Machine, and Human Perspectives", "date": "2020-05-25", "abstract": "Transit maps are designed to present information for using public transportation systems, such as urban railways. Creating a transit map is a time-consuming process, which requires iterative information selection, layout design, and usability validation, and thus maps cannot easily be customised or updated frequently. To improve this, scientists investigate fully- or semi-automatic techniques in order to produce high quality transit maps using computers and further examine their corresponding usability. Nonetheless, the quality gap between manually-drawn maps and machine-generated maps is still large. To elaborate the current research status, this state-of-the-art report provides an overview of the transit map generation process, primarily from Design, Machine, and Human perspectives. A systematic categorisation is introduced to describe the design pipeline, and an extensive analysis of perspectives is conducted to support the proposed taxonomy. We conclude this survey with a discussion on the current research status, open challenges, and future directions.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2020-eurovis-star-image.png", "type": "image/png", "size": 20954, "path": "Publication:wu-2020-eurovis-star", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/wu-2020-eurovis-star-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/wu-2020-eurovis-star-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1675, 1580, 1765, 1579 ], "cfp": { "name": "Eurovis – STARS – Eurographics & Eurovis 2020.pdf", "type": "application/pdf", "error": "0", "size": "468579", "orig_name": "Eurovis – STARS – Eurographics & Eurovis 2020.pdf", "ext": "pdf" }, "date_from": "2020-05-25", "date_to": "2020-05-29", "doi": "10.1111/cgf.14030", "event": "EuRoVis 2020", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1464 ], "number": "3", "open_access": "yes", "pages": "28", "pages_from": "619", "pages_to": "646", "volume": "39", "research_areas": [ "InfoVis" ], "keywords": [ "Computer Graphics and Computer-Aided Design" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2020-eurovis-star-image.png", "type": "image/png", "size": 20954, "path": "Publication:wu-2020-eurovis-star", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/wu-2020-eurovis-star-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/wu-2020-eurovis-star-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2020-eurovis-star-paper.pdf", "type": "application/pdf", "size": 13228908, "path": "Publication:wu-2020-eurovis-star", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/wu-2020-eurovis-star-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/wu-2020-eurovis-star-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/", "__class": "Publication" }, { "id": "Korpitsch-2020-wscg", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/58257", "title": "Simulated Annealing to Unfold 3D Meshes and Assign Glue Tabs", "date": "2020-05-19", "abstract": "3D mesh unfolding transforms a 3D mesh model into one or multiple 2D planar patches. The technique is widely used to fabricate papercrafts, where 3D objects can be reconstructed from printed paper or paper-like materials. The applicability, visual quality, and stability of such papercraft productions is still challenging since it requires a reasonable formulation of these factors. In this paper, we unfold a 3D mesh into a single connected 2D patch. We also introduce glue tabs as additional indicators in order to provide users with extra space to apply glue for better reconstruction quality. To improve space efficiency, we do not apply glue tabs on every edge, while still guaranteeing the stability of the constructed paper model. A minimum spanning tree (MST) describes possible unfoldings, whereas simulated annealing optimisation is used to find an optimal unfolding. Our approach allows us to unfold 3D triangular meshes into single 2D patches without shape distortions, and employing only a small number of glue tabs. A visual indicator scheme is also incorporated as a post-process to guide users during the model reconstruction process. Finally, we qualitatively evaluate the applicability of the presented approach in comparison to the conventional technique and the achieved results.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "Korpitsch-2020-wscg-image.png", "type": "image/png", "size": 49162, "path": "Publication:Korpitsch-2020-wscg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1697, 1580, 166, 1464 ], "booktitle": "Proceedings of the 28th International Conference in Central Europe on Computer Graphics", "cfp": { "name": "wscg-cfp.pdf", "type": "application/pdf", "error": "0", "size": "1699728", "orig_name": "wscg-cfp.pdf", "ext": "pdf" }, "date_from": "2020-05-19", "date_to": "2020-05-21", "event": "WSCG 2020", "lecturer": [ 1464 ], "pages_from": "1", "pages_to": "10", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "Korpitsch-2020-wscg-image.png", "type": "image/png", "size": 49162, "path": "Publication:Korpitsch-2020-wscg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Korpitsch-2020-wscg-paper.pdf", "type": "application/pdf", "size": 19530461, "path": "Publication:Korpitsch-2020-wscg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Korpitsch-2020-wscg-video.mp4", "type": "video/mp4", "size": 10733469, "path": "Publication:Korpitsch-2020-wscg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/", "__class": "Publication" }, { "id": "Groeller_V2_2020", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/87182", "title": "Visual Analytics in Radiation Therapy Planning", "date": "2020-05-15", "abstract": "Visual analytics concerns analytical reasoning supported by interactive visual interfaces. Radiation therapy is a complex treatment approach that requires careful planning. Visual analytics and visual computing are supportive in the entire radiation therapy workflow. After a brief survey on the workflow, concrete examples about radiation therapy planning for pelvic organs will be treated in detail. One example discusses visual analytics for the exploration of radio-therapy-induced bladder toxicity in a cohort study. Clinical researchers want to correlate bladder shape variations to dose deviations and toxicity risk through cohort studies, to understand which specific bladder shape characteristics are more prone to side effects. In another example the pelvic organ variability in a cohort of radiotherapy patients is visualized. The application addresses the global exploration and analysis of pelvic organ shape variability in an abstracted tabular view and the local exploration and analysis thereof in anatomical 2D/3D views, where comparative and ensemble visualizations are integrated. Research challenges and directions are sketched at the end of the talk.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "event": "Mohn Medical Imaging and Visualization Centre (MMIV) Virtual Seminar", "location": "Bergen, Norway", "open_access": "yes", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://mmiv.no/upcoming/mmiv-seminar-eduard-groeller/", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Groeller_V2_2020/", "__class": "Publication" }, { "id": "Panayotov", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/15053", "title": " A Visual Exploration Tool forTemporal Analysis of CustomerReviews", "date": "2020-05-04", "abstract": "This thesis explores textual review data and how it changes over time. The thesisis motivated by the constantly generated textual reviews. Review sites like Yelp andTripAdvisor are generating hundreds of thousands of reviews monthly. Analysing thisamount of data is impossible by simply reading every individual review. We look forways to answer questions that business analysts, business owners, and investors ask aboutcustomer review data. This thesis asks questions such as: Why do review scores andtopics change over time? What are the major topics people discuss? What are the typicalreasons why review scores suddenly increase or decrease? What are topics that invokepermanent or transient changes in a large collection of review scores?We created a tool called Review Watcher, which provides novel approaches to examineand analyse review changes over time. The tool aims to provide simple, easily accessibleinformation regarding temporal changes in a collection of restaurant reviews. The tooluses real data provided by Yelp. It employs graphical ways to indicate changes in reviewscores over different periods of time. The tool analyses the review scores over time, andit tries to explain changes in these scores based on the textual content of the reviews.The tool utilises automated text processing algorithms to highlight important and oftenused words in text corpora.We used a qualitative evaluation to determine how well the tool manages to answer theresearch questions. We completed a user study with experts in the field of economics.They shared the insights they gathered using Review Watcher and compared them totheir experiences working with other tools for customer satisfaction and review analysis.As a result of our research, we show that Review Watcher manages to provide betterinsight into what are major topics in a collection of textual reviews. In the thesis, we showthat Review Watcher is better suited to highlighting review changes occurring over timeand giving insights to why the changes occurred, compared to existing tools for reviewexploration. The tool is also proving capable of handling millions of textual reviews oftens of thousands of restaurants with acceptable loading times for the user. The userstudy also reveals some of the tool’s limitations and potential for future work, for examplein introducing improved categorisation functions and geographical information about restaurants.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 365, "image_height": 207, "name": "Panayotov-image.JPG", "type": "image/jpeg", "size": 14323, "path": "Publication:Panayotov", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1686 ], "co_supervisor": [ 1110 ], "date_end": "2020-05-04", "date_start": "2019-06", "diploma_examina": "2020-06", "doi": "10.34726/hss.2020.70281", "matrikelnr": "01643722", "open_access": "yes", "pages": "106", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [ "Information Visualization", "Business Intelligence", "Social Network Analysis" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 365, "image_height": 207, "name": "Panayotov-image.JPG", "type": "image/jpeg", "size": 14323, "path": "Publication:Panayotov", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Panayotov-Master Thesis.pdf", "type": "application/pdf", "size": 4730518, "path": "Publication:Panayotov", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Panayotov-Poster.pdf", "type": "application/pdf", "size": 683771, "path": "Publication:Panayotov", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/", "__class": "Publication" }, { "id": "Mautner 2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/1119", "title": "Interactive 3D Storytelling for Planetary Exploration", "date": "2020-05-04", "abstract": "The Planetary Robotics 3D Viewer (PRo3D) is an interactive visualization tool thatallows for geological analyses of planetary surfaces. The primary goal is to supportgeologists at NASA and ESA in their mission to find signs of life on Mars by enablingthem to perform analyses on a high-resolution 3D surface model. While PRo3D facilitatesan exploratory workflow to gain new insights, there is a lack of support to communicatenew findings. In this thesis, we discuss the design and implementation of storytellingmechanisms into PRo3D that allow for an easy, fast, and interactive communicationof results. Moreover, we show how provenance information can be incorporated intostories, enabling geoscientists to present how they arrived at a certain discovery orinterpretation. Provenance includes the individual steps in the analysis process thatlead to a given finding, supporting its verification and reproducibility. We present abroad overview about storytelling and provenance in visualization, and discuss the designspace of a provenance-based storytelling approach in the context of geological analysesas conducted in PRo3D. Finally, we present a prototype as a proof of concept based onthese deliberations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 434, "image_height": 249, "name": "Mautner 2020-image.JPG", "type": "image/jpeg", "size": 30292, "path": "Publication:Mautner 2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1567 ], "date_end": "2020-05-04", "date_start": "2019-09", "diploma_examina": "2020-06", "matrikelnr": "1127229", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 434, "image_height": 249, "name": "Mautner 2020-image.JPG", "type": "image/jpeg", "size": 30292, "path": "Publication:Mautner 2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Mautner 2020-Master Thesis.pdf", "type": "application/pdf", "size": 13991167, "path": "Publication:Mautner 2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Mautner 2020-Poster.pdf", "type": "application/pdf", "size": 4976703, "path": "Publication:Mautner 2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/", "__class": "Publication" }, { "id": "korpitsch-2020-cescg", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Optimising 3D Mesh Unfoldings with Additional Gluetabs using Simulated Annealing", "date": "2020-05-03", "abstract": "3D Mesh unfolding is a process of transforming a 3D mesh into one or several 2D planar patches. The technique is widely used to produce papercraft models, where 3D ob- jects can be reconstructed from printed paper or paper-like materials. Nonetheless, the reconstruction of such mod- els can be arduous. In this paper, we aim to unfold a 3D mesh into a single 2D patch and introduce Gluetabs as ad- ditional indicators and in order to give users extra space to apply glue for better reconstruction quality. To avoid unnecessary Gluetabs, we reduce their number, while still guaranteeing the stability of the constructed model. To achieve this, a minimum spanning tree (MST) is used to describe possible unfoldings, whereas simulated annealing optimisation is used to find an optimal unfolding without overlaps. We aim to unfold 3D triangular meshes into sin- gle 2D patches without applying shape distortions, while appropriately assigning a reasonable amount of Gluetabs. Moreover, we incorporate a visual indicator scheme as a post-process to guide users during the model reconstruc- tion process. Our quantitative evaluation suggests that the proposed approach produces fast results for meshes under 400 faces.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 382, "image_height": 268, "name": "korpitsch-2020-cescg-image.png", "type": "image/png", "size": 95348, "path": "Publication:korpitsch-2020-cescg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1697, 1464 ], "booktitle": "CESCG ", "number": "TR-193-02-2020-2", "research_areas": [ "Fabrication" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 382, "image_height": 268, "name": "korpitsch-2020-cescg-image.png", "type": "image/png", "size": 95348, "path": "Publication:korpitsch-2020-cescg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-image:thumb{{size}}.png" }, { "description": "This paper has been selected for the Best Paper Award at CESCG 2020.", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "korpitsch-2020-cescg-paper.pdf", "type": "application/pdf", "size": 13734147, "path": "Publication:korpitsch-2020-cescg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/", "__class": "Publication" }, { "id": "luksch_2020", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/58258", "title": "Real-Time Approximation of Photometric Polygonal Lights", "date": "2020-05-01", "abstract": "We present a real-time rendering technique for photometric polygonal lights. Our method uses a numerical integration technique based on a triangulation to calculate noise-free diffuse shading. We include a dynamic point in the triangulation that provides a continuous near-field illumination resembling the shape of the light emitter and its characteristics. We evaluate the accuracy of our approach with a diverse selection of photometric measurement data sets in a comprehensive benchmark framework. Furthermore, we provide an extension for specular reflection on surfaces with arbitrary roughness that facilitates the use of existing real-time shading techniques. Our technique is easy to integrate into real-time rendering systems and extends the range of possible applications with photometric area lights.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1621, "image_height": 343, "name": "luksch_2020-image.jpg", "type": "image/jpeg", "size": 71419, "path": "Publication:luksch_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/luksch_2020-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/luksch_2020-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 659, 1377, 193 ], "cfp": { "name": "I3D 2020.pdf", "type": "application/pdf", "error": "0", "size": "128401", "orig_name": "I3D 2020.pdf", "ext": "pdf" }, "date_from": "2020-09-14", "date_to": "2020-09-18", "doi": "10.1145/3384537", "event": "ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games", "issn": "2577-6193", "journal": "Proceedings of the ACM on Computer Graphics and Interactive Techniques", "lecturer": [ 659 ], "location": "online", "number": "1", "open_access": "yes", "pages_from": "4.1", "pages_to": "4.18", "volume": "3", "research_areas": [ "Rendering" ], "keywords": [ "area lights", "photometric lights", "real-time rendering" ], "weblinks": [ { "href": "https://doi.org/10.1145/3384537", "caption": null, "description": null, "main_file": 0 }, { "href": "http://download.vrvis.at/acquisition/HILITE/60421ab2-455e-42e4-8f22-ecdb009e9829/I3D2020_PhotometricAreaLights_Final.mp4", "caption": "Video", "description": "Video", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1621, "image_height": 343, "name": "luksch_2020-image.jpg", "type": "image/jpeg", "size": 71419, "path": "Publication:luksch_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/luksch_2020-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/luksch_2020-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "luksch_2020-Paper.pdf", "type": "application/pdf", "size": 6754960, "path": "Publication:luksch_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/luksch_2020-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/luksch_2020-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/", "__class": "Publication" }, { "id": "schuetz-2020-PPC", "type_id": "journalpaper", "tu_id": 291874, "repositum_id": "20.500.12708/58262", "title": "Progressive Real-Time Rendering of One Billion Points Without Hierarchical Acceleration Structures", "date": "2020-05", "abstract": "Research in rendering large point clouds traditionally focused on the generation and use of hierarchical acceleration structures that allow systems to load and render the smallest fraction of the data with the largest impact on the output. The generation of these structures is slow and time consuming, however, and therefore ill-suited for tasks such as quickly looking at scan data stored in widely used unstructured file formats, or to immediately display the results of point-cloud processing tasks.\n\n \nWe propose a progressive method that is capable of rendering any point cloud that fits in GPU memory in real time, without the need to generate hierarchical acceleration structures in advance. Our method supports data sets with a large amount of attributes per point, achieves a load performance of up to 100 million points per second, displays already loaded data in real time while remaining data is still being loaded, and is capable of rendering up to one billion points using an on-the-fly generated shuffled vertex buffer as its data structure, instead of slow-to-generate hierarchical structures. Shuffling is done during loading in order to allow efficiently filling holes with random subsets, which leads to a higher quality convergence behavior. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4061, "image_height": 1183, "name": "schuetz-2020-PPC-.jpg", "type": "image/jpeg", "size": 376597, "path": "Publication:schuetz-2020-PPC", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schuetz-2020-PPC/schuetz-2020-PPC-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schuetz-2020-PPC/schuetz-2020-PPC-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1116, 1700, 1701, 193 ], "booktitle": "EUROGRAPHICS", "cfp": { "name": "EG_2020_call_for_papers.pdf", "type": "application/pdf", "error": "0", "size": "268041", "orig_name": "EG_2020_call_for_papers.pdf", "ext": "pdf" }, "date_from": "2020-05-25", "date_to": "2020-05-29", "doi": "10.1111/cgf.13911", "event": "EUROGRAPHICS 2020", "first_published": "2020-07-13", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1116 ], "location": "Norköpping, Sweden", "number": "2", "pages": "14", "pages_from": "51", "pages_to": "64", "publisher": "John Wiley & Sons Ltd.", "volume": "39", "research_areas": [ "Rendering" ], "keywords": [ "point-based rendering" ], "weblinks": [ { "href": "https://github.com/m-schuetz/skye", "caption": "Source Code", "description": null, "main_file": 0 }, { "href": "https://www.youtube.com/watch?v=6_ivIcynok8", "caption": "Video", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4061, "image_height": 1183, "name": "schuetz-2020-PPC-.jpg", "type": "image/jpeg", "size": 376597, "path": "Publication:schuetz-2020-PPC", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schuetz-2020-PPC/schuetz-2020-PPC-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schuetz-2020-PPC/schuetz-2020-PPC-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "schuetz-2020-PPC-paper.pdf", "type": "application/pdf", "size": 27594913, "path": "Publication:schuetz-2020-PPC", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schuetz-2020-PPC/schuetz-2020-PPC-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schuetz-2020-PPC/schuetz-2020-PPC-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Superhumans" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schuetz-2020-PPC/", "__class": "Publication" }, { "id": "tatzgern-2020-sst", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/58270", "title": "Stochastic Substitute Trees for Real-Time Global Illumination", "date": "2020-05", "abstract": "With the introduction of hardware-supported ray tracing and deep learning for denoising, computer graphics has made a considerable step toward real-time global illumination. In this work, we present an alternative global illumination method: The stochastic substitute tree (SST), a hierarchical structure inspired by lightcuts with light probability distributions as inner nodes. Our approach distributes virtual point lights (VPLs) in every frame and efficiently constructs the SST over those lights by clustering according to Morton codes. Global illumination is approximated by sampling the SST and considers the BRDF at the hit location as well as the SST nodes’ intensities for importance sampling directly from inner nodes of the tree. To remove the introduced Monte Carlo noise, we use a recurrent autoencoder. In combination with temporal filtering, we deliver real-time global illumination for complex scenes with challenging light distributions.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 449, "preview_image_height": 270, "name": "tatzgern-2020-sst-.png", "type": "image/png", "size": null, "path": "Publication:tatzgern-2020-sst", "preview_name": "tatzgern-2020-sst-:preview.png", "preview_type": "image/png", "preview_size": 152699, "url": "https://www.cg.tuwien.ac.at/research/publications/2020/tatzgern-2020-sst/tatzgern-2020-sst-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/tatzgern-2020-sst/tatzgern-2020-sst-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1762, 1763, 1650, 1662 ], "booktitle": "Symposium on Interactive 3D Graphics and Games", "cfp": { "name": "I3D 2020.pdf", "type": "application/pdf", "error": "0", "size": "1135142", "orig_name": "I3D 2020.pdf", "ext": "pdf" }, "event": "I3D ’20", "first_published": "2020-05", "lecturer": [ 1650 ], "pages_from": "1", "pages_to": "9", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [ { "href": "https://dl.acm.org/doi/10.1145/3384382.3384521", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 449, "preview_image_height": 270, "name": "tatzgern-2020-sst-.png", "type": "image/png", "size": null, "path": "Publication:tatzgern-2020-sst", "preview_name": "tatzgern-2020-sst-:preview.png", "preview_type": "image/png", "preview_size": 152699, "url": "https://www.cg.tuwien.ac.at/research/publications/2020/tatzgern-2020-sst/tatzgern-2020-sst-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/tatzgern-2020-sst/tatzgern-2020-sst-:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/tatzgern-2020-sst/", "__class": "Publication" }, { "id": "unterguggenberger-2020-fmvr", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/58271", "title": "Fast Multi-View Rendering for Real-Time Applications", "date": "2020-05", "abstract": "Efficient rendering of multiple views can be a critical performance factor for real-time rendering applications. Generating more than one view multiplies the amount of rendered geometry, which can cause a huge performance impact. Minimizing that impact has been a target of previous research and GPU manufacturers, who have started to equip devices with dedicated acceleration units. However, vendor-specific acceleration is not the only option to increase multi-view rendering (MVR) performance. Available graphics API features, shader stages and optimizations can be exploited for improved MVR performance, while generally offering more versatile pipeline configurations, including the preservation of custom tessellation and geometry shaders. In this paper, we present an exhaustive evaluation of MVR pipelines available on modern GPUs. We provide a detailed analysis of previous\ntechniques, hardware-accelerated MVR and propose a novel method, leading to the creation of an MVR catalogue. Our analyses cover three distinct applications to help gain clarity on overall MVR performance characteristics. Our interpretation of the observed results provides a guideline for selecting the most appropriate one for various use cases on different GPU architectures.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 917, "image_height": 687, "name": "unterguggenberger-2020-fmvr-image.png", "type": "image/png", "size": 62276, "path": "Publication:unterguggenberger-2020-fmvr", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 848, 1650, 1662, 202, 193 ], "booktitle": "Eurographics Symposium on Parallel Graphics and Visualization", "cfp": { "name": "Call for Papers – EGPGV 2020.pdf", "type": "application/pdf", "error": "0", "size": "348754", "orig_name": "Call for Papers – EGPGV 2020.pdf", "ext": "pdf" }, "date_from": "2020-05-25", "date_to": "2020-05-25", "doi": "10.2312/pgv.20201071", "editor": "Frey, Steffen and Huang, Jian and Sadlo, Filip", "event": "EGPGV 2020", "isbn": "978-3-03868-107-6", "lecturer": [ 848 ], "location": "online", "open_access": "yes", "organization": "Eurographics", "pages_from": "13", "pages_to": "23", "research_areas": [ "Rendering" ], "keywords": [ "Real-Time Rendering", "Rasterization", "Multi-View", "OVR_multiview", "Geometry Shader", "Evaluation" ], "weblinks": [ { "href": "https://diglib.eg.org/handle/10.2312/pgv20201071", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 917, "image_height": 687, "name": "unterguggenberger-2020-fmvr-image.png", "type": "image/png", "size": 62276, "path": "Publication:unterguggenberger-2020-fmvr", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-image:thumb{{size}}.png" }, { "description": "Fast Multi-View Rendering for Real-Time Applications", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "unterguggenberger-2020-fmvr-paper.pdf", "type": "application/pdf", "size": 300803, "path": "Publication:unterguggenberger-2020-fmvr", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-paper:thumb{{size}}.png" }, { "description": "Slides used for the talk", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "unterguggenberger-2020-fmvr-slides.pdf", "type": "application/pdf", "size": 4201932, "path": "Publication:unterguggenberger-2020-fmvr", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-slides:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/", "__class": "Publication" }, { "id": "Mirzaei_Mohammadreza_2020-EVR", "type_id": "journalpaper", "tu_id": 291029, "repositum_id": "20.500.12708/140902", "title": "EarVR: Using Ear Haptics in Virtual Reality for Deaf and Hard-of-Hearing People", "date": "2020-05", "abstract": "Virtual Reality (VR) has a great potential to improve skills of Deaf and Hard-of-Hearing (DHH) people. Most VR applications and devices are designed for persons without hearing problems. Therefore, DHH persons have many limitations when using VR. Adding special features in a VR environment, such as subtitles, or haptic devices will help them. Previously, it was necessary to design a special VR environment for DHH persons. We introduce and evaluate a new prototype called \"EarVR\" that can be mounted on any desktop or mobile VR Head-Mounted Display (HMD). EarVR analyzes 3D sounds in a VR environment and locates the direction of the sound source that is closest to a user. It notifies the user about the sound direction using two vibro-motors placed on the user's ears. EarVR helps DHH persons to complete sound-based VR tasks in any VR application with 3D audio and a mute option for background music. Therefore, DHH persons can use all VR applications with 3D audio, not only those applications designed for them. Our user study shows that DHH participants were able to complete a simple VR task significantly faster with EarVR than without. The completion time of DHH participants was very close to participants without hearing problems. Also, it shows that DHH participants were able to finish a complex VR task with EarVR, while without it, they could not finish the task even once. Finally, our qualitative and quantitative evaluation among DHH participants indicates that they preferred to use EarVR and it encouraged them to use VR technology more.", "authors_et_al": false, "substitute": null, "main_image": { "description": "EarVR", "filetitle": "EarVR", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1110, "image_height": 602, "name": "Mirzaei_Mohammadreza_2020-EVR-EarVR.jpg", "type": "image/jpeg", "size": 499544, "path": "Publication:Mirzaei_Mohammadreza_2020-EVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mirzaei_Mohammadreza_2020-EVR/Mirzaei_Mohammadreza_2020-EVR-EarVR.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mirzaei_Mohammadreza_2020-EVR/Mirzaei_Mohammadreza_2020-EVR-EarVR:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1803, 1720, 378 ], "cfp": { "name": "cfp2020.pdf", "type": "application/pdf", "error": "0", "size": "516819", "orig_name": "cfp2020.pdf", "ext": "pdf" }, "date_from": "2020-03-22", "date_to": "2020-03-26", "doi": "10.1109/TVCG.2020.2973441", "event": "IEEE VR 2021", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 378 ], "number": "05", "open_access": "no", "pages_from": "2084", "pages_to": "2093", "volume": "26", "research_areas": [ "VR" ], "keywords": [ "Handicapped Aids", "Haptic Interfaces", "Helmet Mounted Displays", "Virtual Reality", "3 D Sounds", "3 D Audio", "Deaf And Hard Of Hearing People", "Head Mounted Display", "VR Application", "Ear VR", "VR Technology", "Haptic Devices", "DHH Persons", "Hearing Problems", "VR Apps." ], "weblinks": [ { "href": "https://www.computer.org/csdl/journal/tg/2020/05/08998298/1hrXce2Kmhq", "caption": "TVCG", "description": null, "main_file": 1 } ], "files": [ { "description": "EarVR", "filetitle": "EarVR", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1110, "image_height": 602, "name": "Mirzaei_Mohammadreza_2020-EVR-EarVR.jpg", "type": "image/jpeg", "size": 499544, "path": "Publication:Mirzaei_Mohammadreza_2020-EVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mirzaei_Mohammadreza_2020-EVR/Mirzaei_Mohammadreza_2020-EVR-EarVR.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mirzaei_Mohammadreza_2020-EVR/Mirzaei_Mohammadreza_2020-EVR-EarVR:thumb{{size}}.png" } ], "projects_workgroups": [ "vr" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mirzaei_Mohammadreza_2020-EVR/", "__class": "Publication" }, { "id": "raidou_visgap2020", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/58269", "title": "Lessons Learnt from Developing Visual Analytics Applications for Adaptive Prostate Cancer Radiotherapy", "date": "2020-05", "abstract": "In radiotherapy (RT), changes in patient anatomy throughout the treatment period might lead to deviations between planned\nand delivered dose, resulting in inadequate tumor coverage and/or overradiation of healthy tissues. Adapting the treatment to\naccount for anatomical changes is anticipated to enable higher precision and less toxicity to healthy tissues. Corresponding\ntools for the in-depth exploration and analysis of available clinical cohort data were not available before our work. In this\npaper, we discuss our on-going process of introducing visual analytics to the domain of adaptive RT for prostate cancer. This\nhas been done through the design of three visual analytics applications, built for clinical researchers working on the deployment\nof robust RT treatment strategies. We focus on describing our iterative design process, and we discuss the lessons learnt from\nour fruitful collaboration with clinical domain experts and industry, interested in integrating our prototypes into their workflow.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410, 1733, 1366, 1444, 1568, 1569, 166, 1445 ], "booktitle": "The Gap between Visualization Research and Visualization Software (VisGap) (2020)", "cfp": { "name": "VisGap Workshop 2020.pdf", "type": "application/pdf", "error": "0", "size": "183556", "orig_name": "VisGap Workshop 2020.pdf", "ext": "pdf" }, "event": "EGEV2020 - VisGap Workshop", "lecturer": [ 1410 ], "open_access": "yes", "pages_from": "1", "pages_to": "8", "research_areas": [ "InfoVis", "MedVis" ], "keywords": [ "Visual Analytics", "Life and Medical Sciences" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 1837, "preview_image_height": 998, "name": "raidou_visgap2020-paper.pdf", "type": "application/pdf", "size": 2068564, "path": "Publication:raidou_visgap2020", "preview_name": "raidou_visgap2020-paper:preview.PNG", "preview_type": "image/png", "preview_size": 87558, "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_visgap2020/raidou_visgap2020-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_visgap2020/raidou_visgap2020-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_visgap2020/", "__class": "Publication" }, { "id": "Kovacs_2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "VR Bridges: An Approach to Simulating Uneven Surfaces in VR", "date": "2020-04-30", "abstract": "Virtual reality (VR) promises boundless potential for experiences. Yet, due to technical restrictions, current VR experiences are often limited in many ways and incomparable to their real-world counterparts. Walkable smooth uneven surfaces are inherent to reality but lacking in VR. At the same time, VR enables the alteration and manipulation of perception, o˙ering tools for reshaping the experience. In this thesis, we explore the possibility of simulating walkable smooth uneven surfaces in VR via a multi-sensory stimulation approach. We examine human height and slant perception and incorporate our findings into a multi-modal approach by combining visual manipulations, haptic and vibrotactile stimuli.\nOur approach is realized by constructing physical bridge props and creating a complex software application to introduce multi-sensory stimuli to the user. The simulation is evaluated in two user studies, each focusing on one of two di˙erently shaped physical bridge props. In the studies, we evaluate the feasibility of a flat and an upward curved prop for the simulation of di˙erent virtual surface heights. The data collected during the studies is subjected to a qualitative and quantitative analysis.\nOur results suggest that the use of a curved prop enables the convincing simulation of significantly higher uneven surfaces than the actual height of the prop. The haptic feedback of the curved surface and the proprioceptive cues of actual vertical traversal facilitate user provided height and slant estimations to be closer to the values suggested by the visual cues. The use of a flat prop is less realistic and leads to height and slant underestimations, despite the simulated visual height and slant cues. However, a flat surface might be still used to simulate indentations and protrusions with smaller height di˙erences.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 348, "image_height": 181, "name": "Kovacs_2020-Image.JPG", "type": "image/jpeg", "size": 22461, "path": "Publication:Kovacs_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kovacs_2020/Kovacs_2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kovacs_2020/Kovacs_2020-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1487 ], "co_supervisor": [ 1712 ], "date_end": "2020-04-30", "date_start": "2019-10-20", "diploma_examina": "2020-04-30", "matrikelnr": "01227520", "open_access": "yes", "supervisor": [ 378 ], "research_areas": [ "VR" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 348, "image_height": 181, "name": "Kovacs_2020-Image.JPG", "type": "image/jpeg", "size": 22461, "path": "Publication:Kovacs_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kovacs_2020/Kovacs_2020-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kovacs_2020/Kovacs_2020-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Kovacs_2020-Master Thesis.pdf", "type": "application/pdf", "size": 7768413, "path": "Publication:Kovacs_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kovacs_2020/Kovacs_2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kovacs_2020/Kovacs_2020-Master Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vr" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kovacs_2020/", "__class": "Publication" }, { "id": "Unger2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/1114", "title": "Interactive Visual Exploration ofLarge Bipartite Graphs usingFirework Plots", "date": "2020-04-30", "abstract": "In this thesis, we introduce a web-based interactive exploration interface for a broadaudience to investigate large, weighted, bipartite graphs. The motivation of this workis based on theMedia Transparency Databasewhich arises from an Austrian law thatcompels legal entities to announce their advertisement spendings to media organizationsand meets the specified characteristics.Most current interactive exploration tools use complex visualizations because they weredeveloped for domain experts. As the Media Transparency Database is of potentialinterest to a broad audience, we provide a framework not just for domain experts butalso for inexperienced users.Therefore, we conducted systematic benchmarks to compare state-of-the-art web-basedrendering techniques. Furthermore, we compared the performance of different librariesto determine the most efficient rendering solution and current limitations of web-basedrendering.We introduce the concept of Firework Plots, which aims to provide a common visualizationthat scales well with the size of the data. Our visualization concept is based on intuitivenode-link visualization in combination with multiple visualization and interaction concepts.Hierarchical aggregation is used to improve scalability. Constrained, layered, force-basedgraph layouts, as well as firework animations and seamless zoom, are used to allowinexperienced users to drill down the graph hierarchy and track nodes through thehierarchy. Moreover, visibility management is used to reduce clutter and improveperformance.Based on the insights of our web-based graph rendering analysis, we implementedour framework and the concept of Firework Plots. We show the usefulness of theimplementation by discussing different use cases and comparing it to related work.Moreover, we conducted multiple benchmarks to show the rendering performance and calculation times.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 430, "image_height": 275, "name": "Unger2020-image.JPG", "type": "image/jpeg", "size": 44075, "path": "Publication:Unger2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1530 ], "date_end": "2020-04-30", "date_start": "2019-04-01", "diploma_examina": "2020-05", "doi": "10.34726/hss.2020.66221", "matrikelnr": "01325652", "open_access": "yes", "pages": "104", "supervisor": [ 166, 1110 ], "research_areas": [ "IllVis" ], "keywords": [ "Node-Link Diagram", "Bipartite Projection" ], "weblinks": [ { "href": "https://users.cg.tuwien.ac.at/kunger/da-bipartite-node-link/?data=MTD-20123-20194_filtered_o31t", "caption": "Firework Plots Online", "description": "Firework plots showing the Media Transparency Database data 2012 to 2019 (without §31). ", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 430, "image_height": 275, "name": "Unger2020-image.JPG", "type": "image/jpeg", "size": 44075, "path": "Publication:Unger2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Unger2020-Master Thesis.pdf", "type": "application/pdf", "size": 18029327, "path": "Publication:Unger2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Unger2020-Poster.pdf", "type": "application/pdf", "size": 1727745, "path": "Publication:Unger2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-Poster:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Unger2020-video.mp4", "type": "video/mp4", "size": 30258086, "path": "Publication:Unger2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/", "__class": "Publication" }, { "id": "schindler2020", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Anatomical Entertainer: Physical Visualization in a Medical Context", "date": "2020-04-24", "abstract": "Visualizations are essential for anatomical education of the general public. Traditional\nvisualization methods focus on 2D and 3D information representations, either digital\nor printed, but visualizations also have a physical form. Physical visualization is a\nsubdomain of the traditional visualization domain, where the data is represented by\nmeans of a physical object. Physical visualizations have been reported to lead to greater information insights for the interacting user, but a lot of the fabrication methods to create physical visualizations of the anatomy are not accessible for the general public. In\nthis thesis, we present a workflow to ease the process of creating physical visualizations, made out of paper. The proposed workflow can be used to create two different types of anatomical visualizations. First, we generate 2D visualizations, examinable with color\nfilters that enhance the interactivity of the visualization. To encode multiple channels of information from the anatomical structures, a specific method of color blending is used, which enables the users to access the different anatomical structures selectively, without occlusion. That way the users explore the single layers of the printed visualizations using color filters. Second, 3D papercrafts are generated, which are also examinable with color filters. The anatomical model is unfolded on the paper sheet, can be printed and the user can assemble it and examine it under the color lenses, similarly to the 2D case. The papercrafts may be used as an educational toy in school teaching or for entertainment, since they are very easy to produce and to distribute. We present several 2D and 3D examples of the workflow of the Anatomical Entertainer on models for anatomical education.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1084, "image_height": 324, "name": "schindler2020-image.PNG", "type": "image/png", "size": 602230, "path": "Publication:schindler2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler2020/schindler2020-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler2020/schindler2020-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1760 ], "date_end": "2020-04-24", "date_start": "2019-09-01", "matrikelnr": "01627754", "supervisor": [ 1410 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": 1084, "preview_image_height": 324, "name": "schindler2020-Bachelor thesis.pdf", "type": "application/pdf", "size": 10893906, "path": "Publication:schindler2020", "preview_name": "schindler2020-Bachelor thesis:preview.PNG", "preview_type": "image/png", "preview_size": 602230, "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler2020/schindler2020-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler2020/schindler2020-Bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1084, "image_height": 324, "name": "schindler2020-image.PNG", "type": "image/png", "size": 602230, "path": "Publication:schindler2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler2020/schindler2020-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler2020/schindler2020-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler2020/", "__class": "Publication" }, { "id": "Spelitz2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/1120", "title": "BrainGait: Gait Event Detection and Visualization for Robotic Rehabilitation", "date": "2020-04-21", "abstract": "Mobility impairment in adults is one of most prevalent types of disabilities in developed countries. Gait rehabilitation can be used to regain some or all motor functions, especially after a stroke. In recent years, robot-assisted gait training attracted increasing interest in rehabilitation facilities and scientific research. With this advent of robotic recovery comes the need to objectively measure the patient’s performance. Physiotherapists need essential information about the current status during training and how to improve the patient’s gait, presented in an easy to grasp and compact form. On the other hand, physicians rely on statistical measures in order to evaluate the patient’s progress throughout the therapy. This thesis discusses commonly used visualizations and statistics while proposing improvements and adaptations in the context of PerPedes, a novel robotic gait rehabilitation device. In order to measure the patient’s performance, a new algorithm for gait event detection was developed, based on force data from pressure plates. The following work demonstrates that standard algorithms fail with PerPedes, while the proposed solution can robustly handle highly distorted gait patterns, such as hemiplegic gait, foot drop, or walking backwards. The software application developed during this thesis provides feedback to the therapist and generates suggestions for gait improvement. Furthermore, gait statistics are inferred from each therapy session and collected in order to be used for future analysis and inter-patient comparison.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1713, "image_height": 1025, "name": "Spelitz2020-image.jpg", "type": "image/jpeg", "size": 430173, "path": "Publication:Spelitz2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Spelitz2020/Spelitz2020-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Spelitz2020/Spelitz2020-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1015 ], "date_end": "2020-04-21", "date_start": "2019-03", "diploma_examina": "2020-05", "doi": "10.34726/hss.2020.57203", "matrikelnr": "0925601", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [ "Mobility rehabilitation", "Electroencephalography" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1713, "image_height": 1025, "name": "Spelitz2020-image.jpg", "type": "image/jpeg", "size": 430173, "path": "Publication:Spelitz2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Spelitz2020/Spelitz2020-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Spelitz2020/Spelitz2020-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Spelitz2020-Master Thesis.pdf", "type": "application/pdf", "size": 18131909, "path": "Publication:Spelitz2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Spelitz2020/Spelitz2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Spelitz2020/Spelitz2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": false, "use_in_gallery": true, "access": "public", "name": "Spelitz2020-Poster.pdf", "type": "application/pdf", "size": 2797037, "path": "Publication:Spelitz2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Spelitz2020/Spelitz2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Spelitz2020/Spelitz2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Spelitz2020/", "__class": "Publication" }, { "id": "reina-2020-mtv", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/141135", "title": "The moving target of visualization software for an increasingly complex world", "date": "2020-04", "abstract": "Visualization has evolved into a mature scientific field and it has also become widely accepted as a standard approach in diverse fields, including physics, life sciences, and business intelligence. However, despite its successful development, there are still many open research questions that require customized implementations in order to explore and establish concepts, and to perform experiments and take measurements. Many methods and tools have been developed and published but most are stand-alone prototypes and have not reached a mature state that can be used in a reliable manner by collaborating domain scientists or a wider audience. In this study, we discuss the challenges, solutions, and open research questions that affect the development of sophisticated, relevant, and novel scientific visualization solutions with minimum overheads. We summarize and discuss the results of a recent National Institute of Informatics Shonan seminar on these topics.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 301, "image_height": 121, "name": "reina-2020-mtv-teaser.jpg", "type": "image/jpeg", "size": 15741, "path": "Publication:reina-2020-mtv", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reina-2020-mtv/reina-2020-mtv-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/reina-2020-mtv/reina-2020-mtv-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1750, 1751, 235, 231, 1110, 1752, 1248, 951, 1753, 1754, 166, 1249 ], "doi": "https://doi.org/10.1016/j.cag.2020.01.005", "journal": "Computers & Graphics", "pages_from": "12", "pages_to": "29", "volume": "87", "research_areas": [], "keywords": [ "Software engineering", "Visualization", "Visualization community", "Visualization research", "Visualization software" ], "weblinks": [ { "href": "https://www.sciencedirect.com/science/article/pii/S0097849320300078", "caption": "paper", "description": "Online paper on ScienceDirect", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 301, "image_height": 121, "name": "reina-2020-mtv-teaser.jpg", "type": "image/jpeg", "size": 15741, "path": "Publication:reina-2020-mtv", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reina-2020-mtv/reina-2020-mtv-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/reina-2020-mtv/reina-2020-mtv-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reina-2020-mtv/", "__class": "Publication" }, { "id": "gundacker-2020-wlm", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Wilangyman - Eine Google-Chrome Erweiterung die Wikipedia-Artikel um fremdsprachliche Inhalte ergänzt", "date": "2020-04", "abstract": "Wikipedia-Artikel unterscheiden sich in den unterschiedlichen Sprachversionen oft in\nStruktur und Inhalt. Manche Informationen sind nicht in allen Sprachen verfügbar.\nDas hat zur Folge, dass NutzerInnen wichtige Daten aus der Online Enzyklopädie\nentgehen, wenn sie sich auf eine Sprache beschränken. Ziel von Wilangyman ist es, diese\nInformationen zusammenzuführen und sie in übersichtlicher Art dem Nutzer oder der\nNutzerin zu präsentieren. Die Artikel werden mittels Natural Language Processing (NLP)\nverglichen und und anhand ihrer Ähnlichkeiten miteinander verknüpft. Korrespondierende\nPassagen mit zusätzlichem Informationsgehalt werden absatzweise dargestellt. Inhaltliche\nRedundanzen sollen dabei vermieden werden.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 814, "image_height": 377, "name": "gundacker-2020-wlm-screenshot.png", "type": "image/png", "size": 132524, "path": "Publication:gundacker-2020-wlm", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/gundacker-2020-wlm-screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/gundacker-2020-wlm-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1649 ], "date_end": "2020-04", "date_start": "2019-04", "matrikelnr": "08908802", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": { "1": { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 814, "image_height": 377, "name": "gundacker-2020-wlm-screenshot.png", "type": "image/png", "size": 132524, "path": "Publication:gundacker-2020-wlm", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/gundacker-2020-wlm-screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/gundacker-2020-wlm-screenshot:thumb{{size}}.png" }, "2": { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "gundacker-2020-wlm-thesis.pdf", "type": "application/pdf", "size": 1436642, "path": "Publication:gundacker-2020-wlm", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/gundacker-2020-wlm-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/gundacker-2020-wlm-thesis:thumb{{size}}.png" } }, "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/", "__class": "Publication" }, { "id": "hanko-2019-ani", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Higher Hand-Drawn Detail Quality using Convolutional Assistant", "date": "2020-04", "abstract": "The field of research in the use of neural networks to help artists or advance 2D animation\nis very underdeveloped. Most of the little research that is done does not even ask questions\nthat are relevant for animators but is done in a pure research mindset. We, however,\ntried to find a problem that would actually be relevant in the animation industry and\ncame up with the idea of enhancing the feature quality of poorly drawn features in 2D\nanimation. The basis for this idea is that, as a cost and time-saving measure, in 2d\nanimation features are often drawn in different levels of detail depending on the current\nfocus of the scene and other factors. The focus will thereby lie on the enhancement of\ncharacters’ eyes with the idea that other features could be done in a similar way in future\nwork. To achieve this quality enhancing we train the FUNIT network on a\nmanually created dataset consisting of crops of eyes from different characters in different\nquality with the goal that it will be able to consistently transform low-quality eye images\ninto high-quality eye images", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 217, "image_height": 145, "name": "hanko-2019-ani-teaser.jpg", "type": "image/jpeg", "size": 45990, "path": "Publication:hanko-2019-ani", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/hanko-2019-ani/hanko-2019-ani-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/hanko-2019-ani/hanko-2019-ani-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1744 ], "date_end": "2020-04", "date_start": "2019-10", "matrikelnr": "01625726", "supervisor": [ 1639, 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": { "1": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 217, "image_height": 145, "name": "hanko-2019-ani-teaser.jpg", "type": "image/jpeg", "size": 45990, "path": "Publication:hanko-2019-ani", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/hanko-2019-ani/hanko-2019-ani-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/hanko-2019-ani/hanko-2019-ani-teaser:thumb{{size}}.png" } }, "projects_workgroups": [ "EVOCATION" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/hanko-2019-ani/", "__class": "Publication" }, { "id": "brugger-2020-tsdpbr", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Test Scene Design for Physically Based Rendering", "date": "2020-04", "abstract": "Physically based rendering is a discipline in computer graphics which aims at reproducing certain light and material appearances that occur in the real world.\nComplex scenes can be difficult to compute for rendering algorithms.\nThe goal of this thesis is to create a comprehensive test database of scenes that treat different light setups in conjunction with diverse materials.\nA lot of research is focused on the development of new algorithms that can deal with difficult light conditions and materials efficiently.\nThis database should deliver a comprehensive foundation for evaluating existing and newly developed rendering techniques.\nA final evaluation will compare different results of different rendering algorithms for all scenes. ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1780 ], "date_end": "2020-04", "date_start": "2019-10", "matrikelnr": "01527088", "supervisor": [ 193, 1128 ], "research_areas": [ "Rendering" ], "keywords": [ "Physically Based Rendering", "Database", "Verification", "Tests" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "brugger-2020-tsdpbr-thesis.pdf", "type": "application/pdf", "size": 55508619, "path": "Publication:brugger-2020-tsdpbr", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tsdpbr/brugger-2020-tsdpbr-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tsdpbr/brugger-2020-tsdpbr-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "OpenData" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tsdpbr/", "__class": "Publication" }, { "id": "leimer_2020-cag", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/141145", "title": "Pose to Seat: Automated design of body-supporting surfaces", "date": "2020-04", "abstract": "The design of functional seating furniture is a complicated process which often requires extensive manual design effort and empirical evaluation. We propose a computational design framework for pose-driven automated generation of body-supports which are optimized for comfort of sitting. Given a human body in a specified pose as input, our method computes an approximate pressure distribution that also takes frictional forces and body torques into consideration which serves as an objective measure of comfort. Utilizing this information to find out where the body needs to be supported in order to maintain comfort of sitting, our algorithm can create a supporting mesh suited for a person in that specific pose. This is done in an automated fitting process, using a template model capable of supporting a large variety of sitting poses. The results can be used directly or can be considered as a starting point for further interactive design.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 627, "image_height": 636, "name": "leimer_2020-cag-image.png", "type": "image/png", "size": 270901, "path": "Publication:leimer_2020-cag", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/leimer_2020-cag-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/leimer_2020-cag-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1019, 1422, 948, 844 ], "date_from": "2020-01-01", "date_to": "2020-01-01", "event": "Conference", "journal": "Computer Aided Geometric Design", "open_access": "yes", "pages_from": "1", "pages_to": "1", "volume": "79", "research_areas": [ "Fabrication", "Geometry", "Modeling" ], "keywords": [ "pose estimation", "furniture", "computational design" ], "weblinks": [ { "href": "https://arxiv.org/pdf/2003.10435.pdf", "caption": "paper", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 627, "image_height": 636, "name": "leimer_2020-cag-image.png", "type": "image/png", "size": 270901, "path": "Publication:leimer_2020-cag", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/leimer_2020-cag-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/leimer_2020-cag-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "leimer_2020-cag-Paper.pdf", "type": "application/pdf", "size": 3539714, "path": "Publication:leimer_2020-cag", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/leimer_2020-cag-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/leimer_2020-cag-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Superhumans", "MAKE-IT-FAB", "geo-materials" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/", "__class": "Publication" }, { "id": "waldner-2020-tbg", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/141146", "title": "Interactive exploration of large time-dependent bipartite graphs", "date": "2020-04", "abstract": "Bipartite graphs are typically visualized using linked lists or matrices, but these visualizations neither scale well nor do they convey temporal development. We present a new interactive exploration interface for large, time-dependent bipartite graphs. We use two clustering techniques to build a hierarchical aggregation supporting different exploration strategies. Aggregated nodes and edges are visualized as linked lists with nested time series. We demonstrate two use cases: finding advertising expenses of public authorities following similar temporal patterns and comparing author-keyword co-occurrences across time. Through a user study, we show that linked lists with hierarchical aggregation lead to more insights than without.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Dynamic BicFlows with nested time series visualization per cluster per set.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1121, "image_height": 936, "name": "waldner-2020-tbg-teaser.png", "type": "image/png", "size": 250456, "path": "Publication:waldner-2020-tbg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/waldner-2020-tbg/waldner-2020-tbg-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/waldner-2020-tbg/waldner-2020-tbg-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1110, 1378, 166 ], "doi": "https://doi.org/10.1016/j.cola.2020.100959", "journal": "Journal of Computer Languages", "volume": "57", "research_areas": [ "InfoVis", "NetVis" ], "keywords": [ "Information visualization", "Bipartite graphs", "Clustering", "Time series data", "Insight-based evaluation" ], "weblinks": [ { "href": "https://www.sciencedirect.com/science/article/pii/S2590118420300198", "caption": "paper", "description": "Open Access article at ScienceDirect", "main_file": 1 } ], "files": [ { "description": "Dynamic BicFlows with nested time series visualization per cluster per set.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1121, "image_height": 936, "name": "waldner-2020-tbg-teaser.png", "type": "image/png", "size": 250456, "path": "Publication:waldner-2020-tbg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/waldner-2020-tbg/waldner-2020-tbg-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/waldner-2020-tbg/waldner-2020-tbg-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/waldner-2020-tbg/", "__class": "Publication" }, { "id": "Schrempf_2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": " Fantastic Voyage: An AugmentedReality Approach to AnatomicalEducation for the General Public", "date": "2020-03-05", "abstract": "The purpose of this master thesis is the development of a mobile, anatomical educationapplication for the general public, which shifts the passive, unthoughtful mobile deviceusage to a more active, teaching usage by utilizing macroscopic and regional anatomy. The new, immersive learning experience with interactive, Three Dimensional (3D), Aug-mented Reality (AR) anatomy models synchronizes the models in realtime with the user’sface. Individuals of the general public can digitally dissect their own facial anatomy tolearn geometrical, spatial, and textual anatomy features.Immanent features of the created learning process are self-directed anatomy learning,less cognitive load, a motivation-, attention-, concentration increase, longer preserved sat-isfaction, new anatomical knowledge, and better spatial abilities compared to traditionallearning. The high complexity of the human anatomy restricts the synchronized anatomymodels to the head. Notwithstanding, all human anatomy models can be viewed as TwoDimensional (2D) or AR 3D renderings, whereby only the head anatomy is synchronizedwith the user’s head. The answered research questions are “How can interactive AR be used in anatomicaleducation for the general public?” and “How much and what anatomy can be learned inwhich time with the developed application compared to state of the art works?”. HeadPose Estimation (HPE) links AR managed by the framework ARCore with 3D anatomymodels from Body Parts 3D (BP3D) and anatomy information from FoundationalModel of Anatomy (FMA) to educate the general public in anatomy. Recommended requirements from professional literature are fulfilled by the developed mobile application named ARnatomy, which is a jointed, anatomical, interactive learning experience. The development result has been evaluated in an informal study with eight participants, whichshowed that mobile AR can be used for the anatomical education of the general public.Seven of eight participants gained anatomical knowledge in a geometrical, spatial, and textual form.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 224, "image_height": 302, "name": "Schrempf_2020-image.PNG", "type": "image/png", "size": 164985, "path": "Publication:Schrempf_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1552 ], "date_end": "2020-03-05", "date_start": "2019-06-05", "diploma_examina": "2020-03-25", "matrikelnr": "00920136", "open_access": "yes", "supervisor": [ 166, 1410 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 224, "image_height": 302, "name": "Schrempf_2020-image.PNG", "type": "image/png", "size": 164985, "path": "Publication:Schrempf_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Schrempf_2020-Master Thesis.pdf", "type": "application/pdf", "size": 8899312, "path": "Publication:Schrempf_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Schrempf_2020-Poster.pdf", "type": "application/pdf", "size": 4760141, "path": "Publication:Schrempf_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/", "__class": "Publication" }, { "id": "Vasylevska2020VRB", "type_id": "inproceedings", "tu_id": 292209, "repositum_id": null, "title": "VR Bridges: An Approach to Uneven Surfaces Simulation in VR ", "date": "2020-03", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1256, "image_height": 496, "name": "Vasylevska2020VRB-image.png", "type": "image/png", "size": 896522, "path": "Publication:Vasylevska2020VRB", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Vasylevska2020VRB/Vasylevska2020VRB-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Vasylevska2020VRB/Vasylevska2020VRB-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1712, 1487, 378 ], "booktitle": "Proceedings of IEEE Conference on Virtual Reality 2020", "cfp": { "name": "Call for Papers.html", "type": "text/html", "error": "0", "size": "134732", "orig_name": "Call for Papers.html", "ext": "html" }, "date_from": "2020-03-22", "date_to": "2020-03-26", "doi": "10.1109/VR46266.2020.00-45", "event": "IEEE Conference on Virtual Reality 2020", "lecturer": [ 1712 ], "location": "Atlanta, USA", "open_access": "yes", "pages_from": "388", "pages_to": "397", "publisher": "IEEE", "research_areas": [ "VR" ], "keywords": [ "Virtual Reality", "height perception", "haptics", "simulation", "vibration", "physical props " ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1256, "image_height": 496, "name": "Vasylevska2020VRB-image.png", "type": "image/png", "size": 896522, "path": "Publication:Vasylevska2020VRB", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Vasylevska2020VRB/Vasylevska2020VRB-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Vasylevska2020VRB/Vasylevska2020VRB-image:thumb{{size}}.png" }, { "description": "Author's copy of the publication", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Vasylevska2020VRB-paper.pdf", "type": "application/pdf", "size": 2854687, "path": "Publication:Vasylevska2020VRB", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Vasylevska2020VRB/Vasylevska2020VRB-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Vasylevska2020VRB/Vasylevska2020VRB-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Vasylevska2020VRB/", "__class": "Publication" }, { "id": "wiesinger_2020_odpr", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "An Open Database for Physically Based Rendering", "date": "2020-03", "abstract": "The propagation of light and its interaction with matter can be simulated using mathematical models,\nmost commonly Bidirectional Reflectance Distribution Functions (BRDFs).\nHowever, the creation of physically accurate BRDFs and their verification can be challenging.\nIn order to be able to test and verify physically-based rendering algorithms, various methods have been researched.\nHowever, they are rarely used by the community.\nOne key to the verification of rendering algorithms is to provide test-methods and test-data.\nAnother key is to motivate the community to actually use them and run more tests.\nThis thesis focuses on the latter. For this purpose, the author designed a web-application called “Open Database for Physically-based Rendering (ODPR)”,\nwhere test-scenes of different types and from different studies will be merged into one publicly available place.\nA prototype for ODPR was implemented.\nThe web-application uses community-driven design-patterns similar to StackExchange-sites,\nand allows scientists to register and upload test-scenes.\nThe idea is, that ODPR will be built up and maintained with the help of the community,\nby providing free downloads of test-scenes and additional privileges to registered users. ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1614 ], "co_supervisor": [ 1128 ], "date_end": "2020-03", "date_start": "2018-03", "matrikelnr": "01429087", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wiesinger_2020_odpr-thesis.pdf", "type": "application/pdf", "size": 2109257, "path": "Publication:wiesinger_2020_odpr", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wiesinger_2020_odpr/wiesinger_2020_odpr-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wiesinger_2020_odpr/wiesinger_2020_odpr-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "OpenData" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wiesinger_2020_odpr/", "__class": "Publication" }, { "id": "reimer-2020-CBG", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "The Influence of Full-Body Representation on Translation and CurvatureGain", "date": "2020-03", "abstract": "Redirected Walking (RDW) techniques allow users to navigate immersive virtual environments much larger than the available tracking space by natural walking. Whereas several approaches exist, numerous RDW techniques operate by applying gains of different types to the user’s viewport. These gains must remain undetected by the user in order for a RDW technique to support plausible navigation within a virtual environment. The present paper explores the relationship between detection thresholds of redirection gains and the presence of a self-avatar within the virtual environment. In four psychophysical experiments we estimated the thresholds of curvature and translation gain with and without a virtual body. The goal was to evaluate whether a full-body representation has an impact on the detection thresholds of these gains. The results indicate that although the presence of a virtual body does not significantly affect the detectability of these gains, it supports users with the illusion of easier detection. We discuss the possibility of a future combination of full-body representations and redirected walking and if these findings influence the implementation of large virtual environments with immersive virtual body representation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "banner_paper", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1772, "image_height": 591, "name": "reimer-2020-CBG-banner_paper.jpg", "type": "image/jpeg", "size": 165848, "path": "Publication:reimer-2020-CBG", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reimer-2020-CBG/reimer-2020-CBG-banner_paper.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/reimer-2020-CBG/reimer-2020-CBG-banner_paper:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1832, 1880, 378, 452 ], "booktitle": "2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstractsand Workshops (VRW)", "cfp": { "name": "VHCIE@IEEEVR2020 - Submission.pdf", "type": "application/pdf", "error": "0", "size": "40118", "orig_name": "VHCIE@IEEEVR2020 - Submission.pdf", "ext": "pdf" }, "doi": "10.1109/VRW50115.2020.00032", "event": "IEEEVR 2020", "isbn": "978-1-7281-6532-5", "issn": "978-1-7281-6533-2", "location": "Atlanta, US", "pages": "154-159", "pages_from": "154", "pages_to": "159", "publisher": "IEEE", "research_areas": [ "VR" ], "keywords": [ "redirected walking", "body representation", "curvature gain", "translation gain" ], "weblinks": [ { "href": "https://ieeexplore.ieee.org/document/9090671", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "banner_paper", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1772, "image_height": 591, "name": "reimer-2020-CBG-banner_paper.jpg", "type": "image/jpeg", "size": 165848, "path": "Publication:reimer-2020-CBG", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reimer-2020-CBG/reimer-2020-CBG-banner_paper.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/reimer-2020-CBG/reimer-2020-CBG-banner_paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vr" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reimer-2020-CBG/", "__class": "Publication" }, { "id": "kroesl-2020-XREye", "type_id": "otherreviewed", "tu_id": null, "repositum_id": null, "title": "XREye: Simulating Visual Impairments in Eye-Tracked XR ", "date": "2020-03", "abstract": "Many people suffer from visual impairments, which can be difficult for patients to describe and others to visualize. To aid in understanding what people with visual impairments experience, we demonstrate a set of medically informed simulations in eye-tracked XR of several common conditions that affect visual perception: refractive errors (myopia, hyperopia, and presbyopia), cornea disease, and age-related macular degeneration (wet and dry).", "authors_et_al": false, "substitute": null, "main_image": { "description": "live demo in mozilla social hubs room", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 561, "image_height": 414, "name": "kroesl-2020-XREye-image.png", "type": "image/png", "size": 327573, "path": "Publication:kroesl-2020-XREye", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030, 1633, 1636, 1635, 1634, 193 ], "booktitle": "2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)", "location": "(Atlanta) online", "open_access": "yes", "publisher": "IEEE", "research_areas": [ "Perception", "Rendering", "VR" ], "keywords": [], "weblinks": [], "files": [ { "description": "extended abstract of the research demo", "filetitle": "extended abstract", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2020-XREye-extended abstract.pdf", "type": "application/pdf", "size": 121548, "path": "Publication:kroesl-2020-XREye", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-extended abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-extended abstract:thumb{{size}}.png" }, { "description": "live demo in mozilla social hubs room", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 561, "image_height": 414, "name": "kroesl-2020-XREye-image.png", "type": "image/png", "size": 327573, "path": "Publication:kroesl-2020-XREye", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2020-XREye-poster.pdf", "type": "application/pdf", "size": 3057039, "path": "Publication:kroesl-2020-XREye", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2020-XREye-video.mp4", "type": "video/mp4", "size": 8756217, "path": "Publication:kroesl-2020-XREye", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-video:video.mp4" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/", "__class": "Publication" }, { "id": "breitenecker-2020-bct", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "BibTeX Consitency Tool - Web Service for Consistency Checks of BibTeX Files", "date": "2020-03", "abstract": "This thesis presents cleanBibTeX, an application that can detect and correct inconsistencies in BibTEX files. BibTEX is a popular reference management system for LATEX. Unfortunately, when BibTEX files grow with respect to size or come from different sources, they can get inconsistent. For example, titles may have an inconsistent capitalization style, or the bibliography includes abbreviated author names. For a user, it can take a\nlong time to detect such inconsistencies manually. cleanBibTeX allows the user to clean up a bibliography with a few mouseclicks.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1685 ], "date_end": "2020-04", "date_start": "2019-08", "matrikelnr": "01346716", "supervisor": [ 1110 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "bachelor thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "breitenecker-2020-bct-bachelor thesis.pdf", "type": "application/pdf", "size": 757926, "path": "Publication:breitenecker-2020-bct", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/breitenecker-2020-bct/breitenecker-2020-bct-bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/breitenecker-2020-bct/breitenecker-2020-bct-bachelor thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/breitenecker-2020-bct/", "__class": "Publication" }, { "id": "djuric-2020-wvo", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Web-based visualization of classification and community detection in medical data", "date": "2020-03", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1198, "preview_image_height": 568, "name": "djuric-2020-wvo-.pdf", "type": "application/pdf", "size": 6761303, "path": "Publication:djuric-2020-wvo", "preview_name": "djuric-2020-wvo-:preview.jpg", "preview_type": "image/jpeg", "preview_size": 57582, "url": "https://www.cg.tuwien.ac.at/research/publications/2020/djuric-2020-wvo/djuric-2020-wvo-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/djuric-2020-wvo/djuric-2020-wvo-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5336 ], "date_end": "2020", "date_start": "2019", "matrikelnr": "01227873", "supervisor": [ 1410 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1198, "preview_image_height": 568, "name": "djuric-2020-wvo-.pdf", "type": "application/pdf", "size": 6761303, "path": "Publication:djuric-2020-wvo", "preview_name": "djuric-2020-wvo-:preview.jpg", "preview_type": "image/jpeg", "preview_size": 57582, "url": "https://www.cg.tuwien.ac.at/research/publications/2020/djuric-2020-wvo/djuric-2020-wvo-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/djuric-2020-wvo/djuric-2020-wvo-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/djuric-2020-wvo/", "__class": "Publication" }, { "id": "Swoboda2020", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Visualisation and Interaction Techniques for the Exploration of the Fruit Fly’s Neural Structure", "date": "2020-02-27", "abstract": "In their studies of the brain of the common fruit fly Drosophila melanogaster, neuro-biologists investigate neural connectivity with the goal to discover how complex be-haviour is generated. Gaining information on potential connectivity between neurons is an essential step in their workflow. This thesis presents a way to compute and visualise such potential connectivity information from segmented neurons. It shortens the tedious month-long search for potential connectivity down to a few minutes.\nOverlaps of arborisations of two or more neurons indicate a potential anatomical connection, and thus a potential functional connection. The computation of this data starts from neuron meshes. The meshes—segmented from confocal light-microscopy images of the fruit fly—are intersected to find overlapping areas, i.e. areas of potential anatomical connectivity. This information can then help to discover actual functional connectivity in a neural circuit.\nAnalysing higher order overlaps, i.e. intersections of more than two arborisations of segmented neuron data in the same location, poses new challenges. The visualisation in 2D sections or 3D is impeded by visual clutter and occlusion. Computation of relevant volumetric information becomes difficult for higher order overlaps, because the number of possible overlaps increases exponentially with the number of arborisations. This makes the pre-computation for all possible combinations infeasible. Previous tools have thus been restricted to the quantification and visualisation of pairwise overlaps.\nThe thesis presents a novel solution addressing these issues for higher order over-laps. A novel abstracting design is coupled with a modern approach for on-demand GPU computations. Our tool calculates for the first time volumetric information of higher order overlaps on the GPU using A-buffers. The thesis addresses the visual com-plexity of the data with the implementation of an innovative novel design created by the graphics designer Judith Moosburner. We realised this design using non-photorealistic rendering techniques and perspicuous user interfaces, including interactive glyphs and linked views on quantitative overlap information. To complement the neuroscientists’ workflows the resulting interactive tool has been integrated into BrainGazer, a software tool for advanced visualisation and exploration of neural images and circuit data. Qual-itative evaluation with neuroscientists and non-expert users demonstrated the utility and usability of the tool.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 329, "image_height": 311, "name": "Swoboda2020-image.JPG", "type": "image/jpeg", "size": 22737, "path": "Publication:Swoboda2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1358 ], "co_supervisor": [ 231 ], "date_end": "2020-02-27", "date_start": "2019-09-20", "diploma_examina": "2020-05", "matrikelnr": "0425828", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 329, "image_height": 311, "name": "Swoboda2020-image.JPG", "type": "image/jpeg", "size": 22737, "path": "Publication:Swoboda2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Swoboda2020-Master Thesis.pdf", "type": "application/pdf", "size": 14837665, "path": "Publication:Swoboda2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Swoboda2020-Poster.pdf", "type": "application/pdf", "size": 2513316, "path": "Publication:Swoboda2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/", "__class": "Publication" }, { "id": "kouril-2020-hyperlabels", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "HyperLabels: Browsing of Dense and Hierarchical Molecular 3D Models", "date": "2020-02-24", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 255, "image_height": 189, "name": "kouril-2020-hyperlabels-image.JPG", "type": "image/jpeg", "size": 25538, "path": "Publication:kouril-2020-hyperlabels", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383, 960, 1248, 1746, 166, 171 ], "cfp": { "name": "Gmail - IEEE VIS 2020 - Call for Participation_ Papers; Workshops; Doctoral Colloquium.pdf", "type": "application/pdf", "error": "0", "size": "124288", "orig_name": "Gmail - IEEE VIS 2020 - Call for Participation_ Papers; Workshops; Doctoral Colloquium.pdf", "ext": "pdf" }, "date_from": "2020-02-24", "date_to": "2020-02-24", "doi": "10.1109/TVCG.2020.2975583", "event": "IEEE Vis 2020", "first_published": "2020-02-24", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1383 ], "note": "to appear", "open_access": "yes", "pages_from": "1", "pages_to": "12", "volume": "1", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 255, "image_height": 189, "name": "kouril-2020-hyperlabels-image.JPG", "type": "image/jpeg", "size": 25538, "path": "Publication:kouril-2020-hyperlabels", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "kouril-2020-hyperlabels-Paper.pdf", "type": "application/pdf", "size": 17304362, "path": "Publication:kouril-2020-hyperlabels", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/", "__class": "Publication" }, { "id": "houska-2020-IPGM", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Improved Persistent Grid Mapping", "date": "2020-02-07", "abstract": "We propose a novel heightmap-based terrain rendering algorithm that enhances the Persistent Grid Mapping (PGM) method. As in the underlying method, we cache a regular triangulated grid in video memory and use the GPU to project the mesh onto the ground plane each frame anew. Each vertex in the grid is then displaced according to the sampled heightmap value along the ground plane’s normal vector. The perspective mapping of the grid results in a view-dependent, continuous level-of-detail approximation of the terrain dataset.\n\nPGM is a simple and elegant terrain rendering algorithm, however, as the camera hovers over the terrain, projected vertex positions slide over the terrain. This leads to the underlying static terrain surface changing shape slightly from frame to frame. We address these swimming artifacts by introducing four improvements: tailoring the projected grid, which pushes most otherwise culled vertices back into the view frustum, redistributing grid vertices according to an importance function for more faithful mipmap selection when sampling the heightmap, local terrain edge search for vertices within a certain proximity to the camera, and exploiting temporal coherence between frames. While our algorithm cannot guarantee a maximum screen-space error, it nevertheless reduces PGM’s inherent temporal aliasing artifacts considerably.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 640, "image_height": 480, "name": "houska-2020-IPGM-image.jpg", "type": "image/jpeg", "size": 73012, "path": "Publication:houska-2020-IPGM", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/houska-2020-IPGM/houska-2020-IPGM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/houska-2020-IPGM/houska-2020-IPGM-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 782 ], "date_end": "2020-02-07", "date_start": "2009-01-01", "diploma_examina": "2020-02-07", "matrikelnr": "9907459", "open_access": "yes", "supervisor": [ 452, 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 640, "image_height": 480, "name": "houska-2020-IPGM-image.jpg", "type": "image/jpeg", "size": 73012, "path": "Publication:houska-2020-IPGM", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/houska-2020-IPGM/houska-2020-IPGM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/houska-2020-IPGM/houska-2020-IPGM-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "houska-2020-IPGM-poster.pdf", "type": "application/pdf", "size": 2273192, "path": "Publication:houska-2020-IPGM", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/houska-2020-IPGM/houska-2020-IPGM-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/houska-2020-IPGM/houska-2020-IPGM-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "houska-2020-IPGM-thesis.pdf", "type": "application/pdf", "size": 12544262, "path": "Publication:houska-2020-IPGM", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/houska-2020-IPGM/houska-2020-IPGM-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/houska-2020-IPGM/houska-2020-IPGM-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/houska-2020-IPGM/", "__class": "Publication" }, { "id": "Luidolt-2020-DA", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/1203", "title": "Perception of Light in Virtual Reality", "date": "2020-02", "abstract": "The perception of light and light incidence in the human eye is substantially different in real-world scenarios and virtual reality (VR) simulations. Standard low dynamic range displays, as used in common VR headsets, are not able to replicate the same light intensities we see in reality. Therefore, light phenomenons, such as temporal eye adaptation, perceptual glare, visual acuity reduction and scotopic color vision need to be simulated to generate realistic images. Even though, a physically based simulation of these effects could increase the perceived reality of VR applications, this topic has not been thoroughly researched yet. \nWe propose a post-processing workflow for VR and augmented reality (AR), using eye tracking, that is based on medical studies of the healthy human eye and is able to run in real time, to simulate light effects as close to reality as possible. We improve an existing temporal eye adaptation algorithm to be view-dependent. We adapt a medically based glare simulation to run in VR and AR. Additionally, we add eye tracking to adjust the glare intensity according to the viewing direction and the glare appearance depending on the user’s pupil size. We propose a new function fit for the reduction of visual acuity in VR head mounted displays. Finally, we include scotopic color vision for more realistic rendering of low-light scenes. \nWe conducted a primarily qualitative pilot study, comparing a real-world low-light scene to our VR simulation through individual, perceptual evaluation. Most participants mentioned, that the simulation of temporal eye adaptation, visual acuity reduction and scotopic color vision was similar or the same as their own perception in the real world. However, further work is necessary to improve the appearance and movement of our proposed glare kernel. We conclude, that our work has laid a ground base for further research regarding the simulation and individual adaptation to the perception of light in VR.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1080, "name": "Luidolt-2020-DA-image.png", "type": "image/png", "size": 1606001, "path": "Publication:Luidolt-2020-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Luidolt-2020-DA/Luidolt-2020-DA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Luidolt-2020-DA/Luidolt-2020-DA-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1577 ], "date_end": "2020-02-02", "date_start": "2019-04", "diploma_examina": "2020-02-10", "matrikelnr": "01427250 ", "supervisor": [ 1030, 193 ], "research_areas": [ "Perception", "Rendering", "VR" ], "keywords": [ "perception", "temporal eye adaptation", "glare", "virtual reality", "scotopic vision", "visual acuity reduction", "augmented reality" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1080, "name": "Luidolt-2020-DA-image.png", "type": "image/png", "size": 1606001, "path": "Publication:Luidolt-2020-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Luidolt-2020-DA/Luidolt-2020-DA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Luidolt-2020-DA/Luidolt-2020-DA-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Luidolt-2020-DA-poster.pdf", "type": "application/pdf", "size": 6507701, "path": "Publication:Luidolt-2020-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Luidolt-2020-DA/Luidolt-2020-DA-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Luidolt-2020-DA/Luidolt-2020-DA-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Luidolt-2020-DA-thesis.pdf", "type": "application/pdf", "size": 15289421, "path": "Publication:Luidolt-2020-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Luidolt-2020-DA/Luidolt-2020-DA-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Luidolt-2020-DA/Luidolt-2020-DA-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Luidolt-2020-DA/", "__class": "Publication" }, { "id": "rumpelnik_martin_2020_PRM", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Planetary Rendering with Mesh Shaders", "date": "2020-02", "abstract": "Planetary rendering solutions often suffer from artifacts or low performance when rendering very big terrains with high details. In this thesis, we present a method that targets real-time applications and therefore aims to achieve high performance. The method can be applied with an arbitrary amount of detail, which enables stable performance under runtime or hardware restriction. In contrast to existing methods, like quadtrees and clipmaps, our method avoids artifacts, such as popping or swimming, as much as possible. The method submits coarse, rectangular regions of cells around the viewer to NVidia’s new geometry pipeline that was introduced with their Turing Architecture. Due to the capabilities of the new pipeline, we can make efficient level-of-detail decisions on the graphics processing unit (GPU) and produce work to create circular regions from the rectangular ones. These circular regions provide uniform terrain resolution for the viewer in all directions, while maintaining low rendering times.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1346, "image_height": 952, "name": "rumpelnik_martin_2020_PRM-image.png", "type": "image/png", "size": 667153, "path": "Publication:rumpelnik_martin_2020_PRM", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/rumpelnik_martin_2020_PRM/rumpelnik_martin_2020_PRM-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/rumpelnik_martin_2020_PRM/rumpelnik_martin_2020_PRM-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1702 ], "date_end": "2020-02-24", "date_start": "2019-06", "matrikelnr": "01633397", "supervisor": [ 193, 1650 ], "research_areas": [ "Geometry", "Rendering" ], "keywords": [ "rendering", "real-time", "GPU", "terrain" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1346, "image_height": 952, "name": "rumpelnik_martin_2020_PRM-image.png", "type": "image/png", "size": 667153, "path": "Publication:rumpelnik_martin_2020_PRM", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/rumpelnik_martin_2020_PRM/rumpelnik_martin_2020_PRM-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/rumpelnik_martin_2020_PRM/rumpelnik_martin_2020_PRM-image:thumb{{size}}.png" }, { "description": null, "filetitle": "image2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 978, "image_height": 985, "name": "rumpelnik_martin_2020_PRM-image2.png", "type": "image/png", "size": 990356, "path": "Publication:rumpelnik_martin_2020_PRM", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/rumpelnik_martin_2020_PRM/rumpelnik_martin_2020_PRM-image2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/rumpelnik_martin_2020_PRM/rumpelnik_martin_2020_PRM-image2:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "rumpelnik_martin_2020_PRM-Thesis.pdf", "type": "application/pdf", "size": 32373464, "path": "Publication:rumpelnik_martin_2020_PRM", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/rumpelnik_martin_2020_PRM/rumpelnik_martin_2020_PRM-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/rumpelnik_martin_2020_PRM/rumpelnik_martin_2020_PRM-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization", "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/rumpelnik_martin_2020_PRM/", "__class": "Publication" }, { "id": "PUEYO-2019-SCL", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Shrinking City Layouts", "date": "2020-02", "abstract": "One important use of realistic city environments is in the video game industry. When a company works on a game whose action occurs in a real-world environment, a team of designers usually creates a simplified model of the real city. In particular, the resulting city is desired to be smaller in extent to increase playability and fun, avoiding long walks and “boring” neighborhoods. This is manual work, usually started from scratch, where the first step is to take the original city map as input, and from it create the street network of the final city, removing insignificant streets and bringing important places closer together in the process. This first draft of the city street network is like a kind of skeleton with the most important places connected, from which the artist can (and should) start working until the desired result is obtained. In this paper, we propose a solution to automatically generate such a first simplified street network draft. This is achieved by using the well-established seam-carving technique applied to a sckeleton of the city layout, built with the important landmarks and streets of the city. The output that our process provides is a street network that reduces the city area as much as the designer wants, preserving landmarks and key streets, while keeping the relative positions between them. For this, we run a shrinking process that reduces the area in an irregular way, prioritizing the removal of areas of less importance. This way, we achieve a smaller city but retain the essence of the real-world one. To further help the designer, we also present an automatic filling algorithm that adds unimportant streets to the shrunken skeleton.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1717, 1718, 440, 193, 1719 ], "doi": "10.1016/j.cag.2019.11.004", "first_published": "2019-11-22", "issn": "0097-8493", "journal": "Computers & Graphics", "open_access": "no", "pages_from": "15", "pages_to": "26", "volume": "86", "research_areas": [ "Modeling" ], "keywords": [ "procedural modeling", "computer games" ], "weblinks": [], "files": [], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/PUEYO-2019-SCL/", "__class": "Publication" }, { "id": "raidou_shonan167", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "NII Shonan Meeting Report No. 167: Formalizing Biological and Medical Visualization", "date": "2020-02", "abstract": "Medicine and biology are among the most important research fields, having a significant impact on humans and their health. For decades, these fields have been highly dependent on visualization—establishing a tight coupling which is crucial for the development of visualization techniques, designed exclusively for the disciplines of medicine and biology. These visualization techniques can be generalized by the term Biological and Medical Visualization—for short,BioMedical Visualization. BioMedical Visualization is not only an enabler for medical diagnosis and treatment, but also an influential component of today’s life science research. Many BioMedical domains can now be studied at various scales and dimensions, with different imaging modalities and simulations, and for a variety of purposes. Accordingly, BioMedical Visualization has also innumerable contributions in industrial applications. However, despite its proven scientific maturity and societal value, BioMedical Visualization is often treated within Computer Science as a mere application subdomain of the broader field of Visualization.To enable BioMedical Visualization to further thrive, it is important to formalize its characteristics independently from the general field of Visualization.Also, several lessons learnt within the context of BioMedical Visualization may be applicable and extensible to other application domains or to the parent field of Visualization. Formalization has become particularly urgent, with the latest advances of BioMedical Visualization—in particular, with respect to dealing with Big Data Visualization, e.g., for the visualization of multi-scale, multi-modal,cohort, or computational biology data. Rapid changes and new opportunities in the field, also regarding the incorporation of Artificial Intelligence with“human-in-the-loop” concepts within the field of Visual Analytics, compel further this formalization. By enabling the BioMedical Visualization community to have intensive discussions on the systematization of current knowledge, we can adequately prepare ourselves for future prospects and challenges, while also contributing to the broader Visualization community.\nDuring this 4-day seminar, which was the 150th NII Shonan meeting to be organized, we brought together 25 visualization experts from diverse institutions,backgrounds and expertise to discuss, identify, formalize, and document the specifics of our field. This has been a great opportunity to cover a range of relevant and contemporary topics, and as a systematic effort towards establishing better fundaments for the field and towards determining novel future challenges.In the upcoming sections of this report, we summarize the content of invited talks and of the eight main topics that were discussed within the working groups during the seminar.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410, 1248, 818, 951, 590 ], "note": "ISSN 2186-7437", "number": "TR-193-02-2020-1", "open_access": "yes", "research_areas": [ "BioVis", "MedVis" ], "keywords": [], "weblinks": [ { "href": "https://shonan.nii.ac.jp/seminars/167/", "caption": "workshop page", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "report", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 2497, "preview_image_height": 1361, "name": "raidou_shonan167-report.pdf", "type": "application/pdf", "size": 2764706, "path": "Publication:raidou_shonan167", "preview_name": "raidou_shonan167-report:preview.PNG", "preview_type": "image/png", "preview_size": 332855, "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_shonan167/raidou_shonan167-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_shonan167/raidou_shonan167-report:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_shonan167/", "__class": "Publication" }, { "id": "Groeller_V1_2020", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/87163", "title": "Interactive Visual Analysis in the Computational Sciences", "date": "2020-01-29", "abstract": "Visualization and visual computing use computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity concerning volume, veracity, velocity, and variety has increased considerably. This is due to new data sources as well as the availability of uncertainty, error and tolerance information. Instead of individual objects entire sets, collections, and ensembles are visually investigated. There is a need for visual analyses, comparative visualization, quantitative visualizations, scalable visualizations, and linked/integrated views. The simultaneous exploration and visualization of spatial and abstract information is an important case in point. Several examples from the computational sciences will be discussed in detail. These concern: parameter studies of dataset series; visual analytics for the exploration and assessment of segmentation errors; quantitative visual analytics with structured brushing and linked statistics; visual comparison of 3D volumes through space-filling curves. Given the amplified data variability, interactive visual data analyses are likely to gain in importance in the future. Research challenges and directions are sketched at the end of the talk.\n", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "event": "High Visual Computing (HiVisComp) 2020", "location": "Hotel Praha, Ore Mountains, Czech Republic", "open_access": "yes", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Groeller_V1_2020/", "__class": "Publication" }, { "id": "Cornel_2020", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/1225", "title": "Interactive Visualization of Simulation Data for GeospatialDecision Support", "date": "2020-01-19", "abstract": "Floods are catastrophic events that claim thousands of human lives every year. For theprediction of these events, interactive decision support systems with integrated floodsimulation have become a vital tool. Recent technological advances made it possibleto simulate flooding scenarios of unprecedented scale and resolution, resulting in verylarge time-dependent data. The amount of simulation data is further amplified by theuse of ensemble simulations to make predictions more robust, yielding high-dimensionaland uncertain data far too large for manual exploration. New strategies are thereforeneeded to filter these data and to display only the most important information to supportdomain experts in their daily work. This includes the communication of results to decisionmakers, emergency services, stakeholders, and the general public. A modern decisionsupport system has to be able to provide visual results that are useful for domain experts,but also comprehensible for larger audiences. Furthermore, for an efficient workflow, theentire process of simulation, analysis, and visualization has to happen in an interactivefashion, putting serious time constraints on the system.In this thesis, we present novel visualization techniques for time-dependent and uncertainflood, logistics, and pedestrian simulation data for an interactive decision support system.As the heterogeneous tasks in flood management require very diverse visualizations fordifferent target audiences, we provide solutions to key tasks in the form of task-specificand user-specific visualizations. This allows the user to show or hide detailed informationon demand to obtain comprehensible and aesthetic visualizations to support the task athand. In order to identify the impact of flooding incidents on a building of interest, onlya small subset of all available data is relevant, which is why we propose a solution toisolate this information from the massive simulation data. To communicate the inherentuncertainty of resulting predictions of damages and hazards, we introduce a consistentstyle for visualizing the uncertainty within the geospatial context. Instead of directlyshowing simulation data in a time-dependent manner, we propose the use of bidirectionalflow maps with multiple components as a simplified representation of arbitrary materialflows. For the communication of flood risks in a comprehensible way, however, thedirect visualization of simulation data over time can be desired. Apart from the obviouschallenges of the complex simulation data, the discrete nature of the data introducesadditional problems for the realistic visualization of water surfaces, for which we proposerobust solutions suitable for real-time applications. All of our findings have been acquiredthrough a continuous collaboration with domain experts from several flood-related fieldsof work. The thorough evaluation of our work by these experts confirms the relevanceand usefulness of our presented solutions. \n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 436, "image_height": 277, "name": "Cornel_2020-image.JPG", "type": "image/jpeg", "size": 53075, "path": "Publication:Cornel_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Cornel_2020/Cornel_2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Cornel_2020/Cornel_2020-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 877 ], "doi": "10.34726/hss.2020.75784", "duration": "5", "matrikelnr": "0726194", "open_access": "yes", "pages": "167", "reviewer_1": [ 1745 ], "reviewer_2": [ 823 ], "rigorosum": "2020-01", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [ "Interactive visualization", "uncertainty", "flood management", "decision support", "flood simulation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 436, "image_height": 277, "name": "Cornel_2020-image.JPG", "type": "image/jpeg", "size": 53075, "path": "Publication:Cornel_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Cornel_2020/Cornel_2020-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Cornel_2020/Cornel_2020-image:thumb{{size}}.png" }, { "description": null, "filetitle": "PhD Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Cornel_2020-PhD Thesis.pdf", "type": "application/pdf", "size": 43001362, "path": "Publication:Cornel_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Cornel_2020/Cornel_2020-PhD Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Cornel_2020/Cornel_2020-PhD Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Cornel_2020/", "__class": "Publication" }, { "id": "raidou_2020Onc", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/141410", "title": "Principles of Visualization in Radiation Oncology", "date": "2020-01-15", "abstract": "Background: Medical visualization employs elements from computer graphics to create meaningful, interactive visual representations of medical data, and it has become an influential field of research for many advanced applications like radiation oncology, among others. Visual representations employ the user’s cognitive capabilities to support and accelerate diagnostic, planning, and quality assurance workflows based on involved patient data. Summary: This article discusses the basic underlying principles of visualization in the application domain of radiation oncology. The main visualization strategies, such as slice-based representations and surface and volume rendering are presented. Interaction topics, i.e., the combination of visualization and automated analysis methods, are also discussed. Key Messages: Slice-based representations are a common approach in radiation oncology, while volume visualization also has a long-standing history in the field. Perception within both representations can benefit further from advanced approaches, such as image fusion and multivolume or hybrid rendering. While traditional slice-based and volume representations keep evolving, the dimensionality and complexity of medical data are also increasing. To address this, visual analytics strategies are valuable, particularly for cohort or uncertainty visualization. Interactive visual analytics approaches represent a new opportunity to integrate knowledgeable experts and their cognitive abilities in exploratory processes which cannot be conducted by solely automatized methods.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1651, 563, 231, 1410 ], "doi": "https://doi.org/10.1159/000504940", "journal": "Oncology and Informatics", "open_access": "yes", "pages_from": "1", "pages_to": "11", "volume": "1", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_2020Onc-paper.pdf", "type": "application/pdf", "size": 900790, "path": "Publication:raidou_2020Onc", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_2020Onc/raidou_2020Onc-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_2020Onc/raidou_2020Onc-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_2020Onc/", "__class": "Publication" }, { "id": "Halladjian_2020", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/141411", "title": "ScaleTrotter: Illustrative Visual Travels Across Negative Scales", "date": "2020-01", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "scale_trotter", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 770, "image_height": 838, "name": "Halladjian_2020-scale_trotter.png", "type": "image/png", "size": 746352, "path": "Publication:Halladjian_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-scale_trotter.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-scale_trotter:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1665, 1263, 1383, 166, 171, 960 ], "date_from": "2019-10", "date_to": "2019-10", "event": "IEEE Vis 2019", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1665 ], "number": "1", "volume": "26", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Halladjian_2020-paper.pdf", "type": "application/pdf", "size": 14976666, "path": "Publication:Halladjian_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "scale_trotter", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 770, "image_height": 838, "name": "Halladjian_2020-scale_trotter.png", "type": "image/png", "size": 746352, "path": "Publication:Halladjian_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-scale_trotter.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-scale_trotter:thumb{{size}}.png" } ], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/", "__class": "Publication" }, { "id": "heim-gall-2020-dde", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "DDE - Dynamic Data Explorer: Dynamic data exploration in a collaborative spatial-aware environment", "date": "2020-01", "abstract": "Collaborative decision-making has become an integral part of the analysis process aiming to get insight into multivariate\ndata. To further encourage this workflow numerous co-located, multi-user systems have been developed consisting of large\nmulti-touch screens or interactive tabletops. But such frameworks are typically expensive and unavailable outside dedicated\nenvironments as for example laboratories. Therefore we developed the Dynamic Data Explorer, short DDE, a multi-user system\nthat enables users to join, in an ad-hoc manner, with their own mobile devices. Since forming groups should be possible in\nvarious locations, the tracking system, enabling spatial awareness of the devices, has to be light-weight and small. Near Field\nCommunication (NFC) is a widespread transmission technology which fulfils these properties and is used in our framework to\nenable different side-by-side arrangements of devices. This allows users to explore multivarate data visualizations on a system\nwhere the number of devices and their set-up can be modified at all times.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "setup", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2220, "image_height": 1900, "name": "heim-gall-2020-dde-setup.jpg", "type": "image/jpeg", "size": 1379498, "path": "Publication:heim-gall-2020-dde", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/heim-gall-2020-dde/heim-gall-2020-dde-setup.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/heim-gall-2020-dde/heim-gall-2020-dde-setup:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1354, 1355 ], "date_end": "2020-01", "date_start": "2019-04", "matrikelnr": "1226809, 1225540", "supervisor": [ 1110, 1643 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://github.com/nonsens949/Practicum/wiki", "caption": "GitHub", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "heim-gall-2020-dde-report.pdf", "type": "application/pdf", "size": 1583282, "path": "Publication:heim-gall-2020-dde", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/heim-gall-2020-dde/heim-gall-2020-dde-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/heim-gall-2020-dde/heim-gall-2020-dde-report:thumb{{size}}.png" }, { "description": null, "filetitle": "setup", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2220, "image_height": 1900, "name": "heim-gall-2020-dde-setup.jpg", "type": "image/jpeg", "size": 1379498, "path": "Publication:heim-gall-2020-dde", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/heim-gall-2020-dde/heim-gall-2020-dde-setup.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/heim-gall-2020-dde/heim-gall-2020-dde-setup:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/heim-gall-2020-dde/", "__class": "Publication" }, { "id": "TOMASCHITZ-2020-EP", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/1251", "title": "Erlernen von Programmieren an Oberstufen der Gymnasien Österreichs durch Computergrafik-unterstützte Ausgabe", "date": "2020-01", "abstract": "Learning programming is a challenging task as several skills, have to be learned. Some of those are mathematical knowledge, logical knowledge and knowledge about handling the computer. By having these skills, someone could start learning programming in a more or less effective way. However, the skill „programming“ describes the way of thinking some-one should achieve, not only writing correct code with the help of a programming language.\n\nBut learning to think like a programmer needs time, as described above. Many different skills for solving software problems are needed. Therefore the way of learning is essential. Many books teaching how to program only show the right way of using a programming language and do not focus on the essential part: the way of thinking. Another problem shown in past researches is based on the way of teaching. Motivated by the right factors, student could achieve better results when learning new content. Using the method of active learning with combined audio and video sources for teaching caused much more effective learning results as humans are trained to remember faster and longer what they have seen or heard.\n\nIn Austria, students are forced to learn a variety of clearly separated topics within three years to gain knowledge about informatics before leaving high school. Breaking it down, the time for learning programming basics within a year are about 8 weeks, having 2 units à 50 minutes. So time is short and the teacher is forced to use an effective way to teach programming and show students how to think like a programmer.\n\nHaving all these facts in mind, a method shown in this document is developed that is effective enough to achieve the goal of an effective learning curve. As personally experienced, learning programming is much easier having the right way of representing what is going on. The „classic“ way of showing what is going on is by having textual output, while the method developed here uses graphical output to represent what has been programmed. The aim of this research is to analyse the effectiveness of graphical output over textual out-put. The structure of the document is as follows: analysis of actual research, basics used in the learning method developed and comparison between programming with textual output and programming with graphical output. In the end, the results are shown and a perspec-tive is shown.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1105, "image_height": 640, "name": "TOMASCHITZ-2020-EP-image.jpg", "type": "image/jpeg", "size": 28990, "path": "Publication:TOMASCHITZ-2020-EP", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/TOMASCHITZ-2020-EP/TOMASCHITZ-2020-EP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/TOMASCHITZ-2020-EP/TOMASCHITZ-2020-EP-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1759 ], "date_end": "2020-03", "date_start": "2018-10", "diploma_examina": "2020-03-02", "doi": "10.34726/hss.2020.62900", "matrikelnr": "00051491", "open_access": "yes", "pages": "112", "supervisor": [ 193 ], "research_areas": [], "keywords": [ "Lernmethode", "Lerneffizienz", "Programmieren", "textuell", "visuell" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1105, "image_height": 640, "name": "TOMASCHITZ-2020-EP-image.jpg", "type": "image/jpeg", "size": 28990, "path": "Publication:TOMASCHITZ-2020-EP", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/TOMASCHITZ-2020-EP/TOMASCHITZ-2020-EP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/TOMASCHITZ-2020-EP/TOMASCHITZ-2020-EP-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TOMASCHITZ-2020-EP-poster.pdf", "type": "application/pdf", "size": 514733, "path": "Publication:TOMASCHITZ-2020-EP", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/TOMASCHITZ-2020-EP/TOMASCHITZ-2020-EP-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/TOMASCHITZ-2020-EP/TOMASCHITZ-2020-EP-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TOMASCHITZ-2020-EP-thesis.pdf", "type": "application/pdf", "size": 5691212, "path": "Publication:TOMASCHITZ-2020-EP", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/TOMASCHITZ-2020-EP/TOMASCHITZ-2020-EP-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/TOMASCHITZ-2020-EP/TOMASCHITZ-2020-EP-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/TOMASCHITZ-2020-EP/", "__class": "Publication" }, { "id": "nguyen_2020-covid", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Modeling in the Time of COVID-19: Statistical and Rule-based Mesoscale Models", "date": "2020", "abstract": "We present a new technique for rapid modeling and construction of scientifically accurate mesoscale biological models. Resulting 3D models are based on few 2D microscopy scans and the latest knowledge about the biological entity represented as a set of geometric relationships. Our new technique is based on statistical and rule-based modeling approaches that are rapid to author, fast to construct, and easy to revise. From a few 2D microscopy scans, we learn statistical properties of various structural aspects, such as the outer membrane shape, spatial properties and distribution characteristics of the macromolecular elements on the membrane. This information is utilized in 3D model construction. Once all imaging evidence is incorporated in the model, additional information can be incorporated by interactively defining rules that spatially characterize the rest of the biological entity, such as mutual interactions among macromolecules, their distances and orientations to other structures. These rules are defined through an intuitive 3D interactive visualization and modeling feedback loop. We demonstrate the utility of our approach on a use case of the modeling procedure of the SARS-CoV-2 virus particle ultrastructure. Its first complete atomistic model, which we present here, can steer biological research to new promising directions in fighting spread of the virus.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2160, "image_height": 1824, "name": "nguyen_2020-covid-image.png", "type": "image/png", "size": 3574056, "path": "Publication:nguyen_2020-covid", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/nguyen_2020-covid/nguyen_2020-covid-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/nguyen_2020-covid/nguyen_2020-covid-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1788, 1789, 1285, 1791, 194, 1792, 935, 1260, 1365, 171 ], "date_from": "2020", "date_to": "2020 (to appear)", "event": "IEEE VIS 2020", "journal": "IEEE Transactions on Visualization and Computer Graphics", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2160, "image_height": 1824, "name": "nguyen_2020-covid-image.png", "type": "image/png", "size": 3574056, "path": "Publication:nguyen_2020-covid", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/nguyen_2020-covid/nguyen_2020-covid-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/nguyen_2020-covid/nguyen_2020-covid-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/nguyen_2020-covid/", "__class": "Publication" }, { "id": "amirkhanov2020visual", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visual Analytics in Dental Aesthetics", "date": "2020", "abstract": "Dental healthcare increasingly employs computer-aided design software,\nto provide patients with high-quality dental prosthetic devices. In\nmodern dental reconstruction, dental technicians address the unique\nanatomy of each patient individually, by capturing the dental impression\nand measuring the mandibular movements. Subsequently, dental technicians\ndesign a custom denture that fits the patient from a functional point of\nview. The current workflow does not include a systematic analysis of\naesthetics, and dental technicians rely only on an aesthetically\npleasing mock-up that they discuss with the patient, and on their\nexperience. Therefore, the final denture aesthetics remain unknown until\nthe dental technicians incorporate the denture into the patient. In this\nwork, we present a solution that integrates aesthetics analysis into the\nfunctional workflow of dental technicians. Our solution uses a video\nrecording of the patient, to preview the denture design at any stage of\nthe denture design process. We present a teeth pose estimation technique\nthat enables denture preview and a set of linked visualizations that\nsupport dental technicians in the aesthetic design of dentures. These\nvisualizations assist dental technicians in choosing the most\naesthetically fitting preset from a library of dentures, in identifying\nthe suitable denture size, and in adjusting the denture position. We\ndemonstrate the utility of our system with four use cases, explored by a\ndental technician. Also, we performed a quantitative evaluation for\nteeth pose estimation, and an informal usability evaluation, with\npositive outcomes concerning the integration of aesthetics analysis into\nthe functional workflow.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1170, 660, 925, 1628, 1629, 166, 869 ], "doi": "https://doi.org/10.1111/cgf.14174", "journal": "Computer Graphics Forum", "number": "7", "pages": "635–646", "pages_from": "635", "pages_to": "646", "volume": "39", "research_areas": [], "keywords": [ "Applied computing -> Life and medical sciences", "Human-centered computing -> Visualization application domains" ], "weblinks": [ { "href": "https://amirkhanov.net/visual-analytics-in-dental-aesthetics/", "caption": "Official page", "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/amirkhanov2020visual/", "__class": "Publication" }, { "id": "fraiss-2019-rtx", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "\"Focus\": Using Real-Time Ray Tracing Innovatively for Gameplay in a Puzzle Game", "date": "2019-12", "abstract": "\"Focus\" uses Real-Time Ray Tracing (or NVIDIA RTX) not only for rendering the entire scene. It also features innovative usage of Real-Time Ray Tracing for its gameplay by tracing the player's view rays in order to detect if they hit the Focussphere, focussing on which the player's goal is.\n\nThe project is available on GitHub: https://github.com/cg-tuwien/focus_rt", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 371, "image_height": 245, "name": "fraiss-2019-rtx-image.png", "type": "image/png", "size": 148109, "path": "Publication:fraiss-2019-rtx", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/fraiss-2019-rtx/fraiss-2019-rtx-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/fraiss-2019-rtx/fraiss-2019-rtx-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1495 ], "date_end": "2019-12", "date_start": "2019-06", "matrikelnr": "01425602", "supervisor": [ 848, 193 ], "research_areas": [], "keywords": [ "Real-Time Rendering", "Real-Time Ray Tracing", "NVIDIA RTX", "Game", "cg_base" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/focus_rt", "caption": "Focus on GitHub", "description": "Source code and additional documentation", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 371, "image_height": 245, "name": "fraiss-2019-rtx-image.png", "type": "image/png", "size": 148109, "path": "Publication:fraiss-2019-rtx", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/fraiss-2019-rtx/fraiss-2019-rtx-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/fraiss-2019-rtx/fraiss-2019-rtx-image:thumb{{size}}.png" }, { "description": "Describes some implementation details and focuses on the hardest challenges and pitfalls during development.", "filetitle": "Report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "fraiss-2019-rtx-Report.pdf", "type": "application/pdf", "size": 389782, "path": "Publication:fraiss-2019-rtx", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/fraiss-2019-rtx/fraiss-2019-rtx-Report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/fraiss-2019-rtx/fraiss-2019-rtx-Report:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/fraiss-2019-rtx/", "__class": "Publication" }, { "id": "sorger-2019-odn", "type_id": "inproceedings", "tu_id": 284199, "repositum_id": null, "title": "Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation", "date": "2019-12", "abstract": "Analysis of large dynamic networks is a thriving research field, typically relying on 2D graph representations. The advent of affordable head mounted displays sparked new interest in the potential of 3D visualization for immersive network analytics. Nevertheless, most solutions do not scale well with the number of nodes and edges and rely on conventional fly- or walk-through navigation. In this paper, we present a novel approach for the exploration of large dynamic graphs in virtual reality that interweaves two navigation metaphors: overview exploration and immersive detail analysis. We thereby use the potential of state-of-the-art VR headsets, coupled with a web-based 3D rendering engine that supports heterogeneous input modalities to enable ad-hoc immersive network analytics. We validate our approach through a performance evaluation and a case study with experts analyzing medical data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "detail view", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 900, "name": "sorger-2019-odn-detail view.jpg", "type": "image/jpeg", "size": 203956, "path": "Publication:sorger-2019-odn", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sorger-2019-odn/sorger-2019-odn-detail view.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sorger-2019-odn/sorger-2019-odn-detail view:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1072, 1110, 853, 1705 ], "booktitle": "2nd International Conference on Artificial Intelligence & Virtual Reality", "cfp": { "name": "IEEE AIVR 2019.pdf", "type": "application/pdf", "error": "0", "size": "203068", "orig_name": "IEEE AIVR 2019.pdf", "ext": "pdf" }, "event": "AIVR 2019", "lecturer": [ 1072 ], "location": "San Diego, California, USA", "open_access": "yes", "organization": "IEEE", "pages_from": "144", "pages_to": "151", "research_areas": [ "InfoVis", "NetVis" ], "keywords": [ "Immersive Network Analytics", "Web-Based Visualization", "Dynamic Graph Visualization" ], "weblinks": [ { "href": "https://arxiv.org/pdf/1910.06825.pdf", "caption": "arxiv preprint", "description": null, "main_file": 1 }, { "href": "http://aivr.science.uu.nl/", "caption": "IEEE AIVR 2019", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "detail view", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 900, "name": "sorger-2019-odn-detail view.jpg", "type": "image/jpeg", "size": 203956, "path": "Publication:sorger-2019-odn", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sorger-2019-odn/sorger-2019-odn-detail view.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sorger-2019-odn/sorger-2019-odn-detail view:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sorger-2019-odn-video.mp4", "type": "video/mp4", "size": 97540271, "path": "Publication:sorger-2019-odn", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sorger-2019-odn/sorger-2019-odn-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sorger-2019-odn/sorger-2019-odn-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/sorger-2019-odn/sorger-2019-odn-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sorger-2019-odn/", "__class": "Publication" }, { "id": "stappen-2019-vrs", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Improving Real-Time Rendering Quality and Efficiency using Variable Rate Shading on Modern Hardware", "date": "2019-12", "abstract": "With the NVIDIA Turing graphics card micro-architecture released in 2018, not only\nperformance in terms of operations per second is increased but also new hardware features\nare introduced, like Variable Rate Shading (VRS). VRS allows focussing the processing\npower by dividing the framebuffer into tiles and dynamically controlling the resolution of\neach tile. To be precise, the screen is partitioned into tiles of 16x16 pixels and for each tile,\nit can be specified how often the fragment shader shall be executed. It is both possible,\nto have fewer fragment shader invocations than there are fragments, or more fragment\nshader invocations than there are fragments. This allows individually defining lower\nsampling rates or supersampling for regions of the screen. Regions of less interest or with\nless visual details can be assigned less computational power in terms of shader executions\nwhile regions that should provide high fidelity can be supersampled. The challenges here\nare to find and distinguish these regions in a dynamic scene, like it is the case for games,\nand how this technique integrates with commonly used techniques in the industry, like\ndeferred shading. NVIDIA already proposed some strategies on how these regions can\nbe distinguished and how the shading rate can be selected. Among these strategies are\nContent-Adaptive Shading and Motion-Adaptive Shading. Content-Adaptive Shading\nvaries the shading rate according to the current content of a frame and does not take\ntemporal coherence into account. Motion-Adaptive Shading adapts the shading rate\naccording to the changes in the scene. Stable regions, like for example the horizon and\nthe car in a driving simulation, will be rendered with higher quality. In contrast, moving\nregions like the street will be rendered more coarsely because the viewer cannot focus on\nthese regions anyway. Another approach for selecting the shading rate is to adapt the\nresolution to the viewer’s focus. This can be done in combination with an eye-tracking\ndevice and is called foveated rendering. We invented a novel approach that utilizes data\nfrom temporal anti-aliasing techniques to detect under- and oversampled regions and\nselect the appropriate shading rate for these regions. We developed five algorithms,\nedge-based and texel-differential based Content-Adaptive Shading, Motion-Adaptive\nShading integrating the motion over multiple frames, single-pass foveated rendering\nand TAA-Adaptive Shading. The applicability of each algorithm to modern renderer\narchitectures with forward and deferred shading and anti-aliasing post-processing has\nbeen evaluated. The major advantage of our VRS techniques is that some of them enable\nup to 4x higher rendering resolution with the same performance or up to 4x better\nperformance at the same resolution.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1598, "image_height": 899, "name": "stappen-2019-vrs-image.jpg", "type": "image/jpeg", "size": 112873, "path": "Publication:stappen-2019-vrs", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/stappen-2019-vrs/stappen-2019-vrs-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/stappen-2019-vrs/stappen-2019-vrs-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1406 ], "date_end": "2019-12", "date_start": "2018-10", "diploma_examina": "2020-01-23", "matrikelnr": "01329020", "supervisor": [ 848, 193 ], "research_areas": [ "Rendering" ], "keywords": [ "Variable Rate Shading" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1598, "image_height": 899, "name": "stappen-2019-vrs-image.jpg", "type": "image/jpeg", "size": 112873, "path": "Publication:stappen-2019-vrs", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/stappen-2019-vrs/stappen-2019-vrs-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/stappen-2019-vrs/stappen-2019-vrs-image:thumb{{size}}.png" }, { "description": "Poster (PDF)", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "stappen-2019-vrs-poster.pdf", "type": "application/pdf", "size": 3468825, "path": "Publication:stappen-2019-vrs", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/stappen-2019-vrs/stappen-2019-vrs-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/stappen-2019-vrs/stappen-2019-vrs-poster:thumb{{size}}.png" }, { "description": "Thesis (PDF)", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "stappen-2019-vrs-thesis.pdf", "type": "application/pdf", "size": 14233046, "path": "Publication:stappen-2019-vrs", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/stappen-2019-vrs/stappen-2019-vrs-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/stappen-2019-vrs/stappen-2019-vrs-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/stappen-2019-vrs/", "__class": "Publication" }, { "id": "wieser-2019-ani", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Classification of Production Ready 2D Animation using Contour and Distance Fields", "date": "2019-12", "abstract": "Image classification is one of the most common use cases of Convolutional Neural Networks. In this thesis, our goal is to increase the accuracy of a neural network classifier for frames of production ready 2D animations and to create a model from a dataset with high accuracy for classification. This can be seen as groundwork for future work that applies neural networks on production ready 2D animation data, by reusing and tweaking the model for different applications.\n\nWe compare training a neural network with the color channels of images to training with\ngrayscale images, predicted contours or distance fields generated from those contours.\nFurthermore, different combinations of the data will be used to evaluate the best option.\nThis means that the comparison of the accuracy not only includes color data compared\nto color with contours and distance fields but every combination of the aforementioned\nfour types of input.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 217, "image_height": 145, "name": "wieser-2019-ani-teaser.jpg", "type": "image/jpeg", "size": 14419, "path": "Publication:wieser-2019-ani", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wieser-2019-ani/wieser-2019-ani-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wieser-2019-ani/wieser-2019-ani-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1657 ], "date_end": "2019-12", "date_start": "2019-06", "matrikelnr": "01633066", "supervisor": [ 193, 1639 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 217, "image_height": 145, "name": "wieser-2019-ani-teaser.jpg", "type": "image/jpeg", "size": 14419, "path": "Publication:wieser-2019-ani", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wieser-2019-ani/wieser-2019-ani-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wieser-2019-ani/wieser-2019-ani-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "EVOCATION" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wieser-2019-ani/", "__class": "Publication" }, { "id": "zsolnai-feher-thesis-2019", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Photorealistic Material Learning and Synthesis", "date": "2019-12", "abstract": "Light transport simulations are the industry-standard way of creating convincing photorealistic imagery and are widely used in creating animation movies, computer animations, medical and architectural visualizations among many other notable applications. These techniques simulate how millions of rays of light interact with a virtual scene, where the realism of the final output depends greatly on the quality of the used materials and the geometry of the objects within this scene. In this thesis, we endeavor to address two key issues pertaining to photorealistic material synthesis: first, creating convincing photorealistic materials requires years of expertise in this field and requires a non-trivial amount of trial and error from the side of the artist. We propose two learning-based methods that enables novice users to easily and quickly synthesize photorealistic materials by learning their preferences and recommending arbitrarily many new material models that are in line with their artistic vision. We also augmented these systems with a neural renderer that performs accurate light-transport simulation for these materials orders of magnitude quicker than the photorealistic rendering engines commonly used for these tasks. As a result, novice users are now able to perform mass-scale material synthesis, and even expert users experience a significant improvement in modeling times when many material models are sought.\n\nSecond, simulating subsurface light transport leads to convincing translucent material visualizations, however, most published techniques either take several hours to compute an image, or make simplifying assumptions regarding the underlying physical laws of volumetric scattering. We propose a set of real-time methods to remedy this issue by decomposing well-known 2D convolution filters into a set of separable 1D convolutions while retaining a high degree of visual accuracy. These methods execute within a few milliseconds and can be inserted into state-of-the-art rendering systems as a simple post-processing step without introducing intrusive changes into the rendering pipeline.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2688, "image_height": 1512, "name": "zsolnai-feher-thesis-2019-image.jpg", "type": "image/jpeg", "size": 1467354, "path": "Publication:zsolnai-feher-thesis-2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnai-feher-thesis-2019/zsolnai-feher-thesis-2019-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnai-feher-thesis-2019/zsolnai-feher-thesis-2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1073 ], "date_end": "2019", "date_start": "2013", "open_access": "yes", "reviewer_1": [ 196 ], "reviewer_2": [ 1736 ], "rigorosum": "2020-01", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "neural rendering", "machine learning", "photorealistic rendering", "ray tracing", "global illumination", "material synthesis" ], "weblinks": [ { "href": "https://users.cg.tuwien.ac.at/zsolnai/", "caption": "More information, supplementary videos and materials", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2688, "image_height": 1512, "name": "zsolnai-feher-thesis-2019-image.jpg", "type": "image/jpeg", "size": 1467354, "path": "Publication:zsolnai-feher-thesis-2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnai-feher-thesis-2019/zsolnai-feher-thesis-2019-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnai-feher-thesis-2019/zsolnai-feher-thesis-2019-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "zsolnai-feher-thesis-2019-thesis.pdf", "type": "application/pdf", "size": 149439876, "path": "Publication:zsolnai-feher-thesis-2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnai-feher-thesis-2019/zsolnai-feher-thesis-2019-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnai-feher-thesis-2019/zsolnai-feher-thesis-2019-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "PathSpace" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnai-feher-thesis-2019/", "__class": "Publication" }, { "id": "leopold-2019-vox", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Adding Voxelization using the Hardware Rasterizer to a Cross-Platform C++/OpenGL Engine", "date": "2019-12", "abstract": "Two tasks were performed:\n1) Ported Engine186 to Linux\n2) Implemented a voxelization algorithm using Engine186", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 512, "image_height": 512, "name": "leopold-2019-vox-image.jpg", "type": "image/jpeg", "size": 156949, "path": "Publication:leopold-2019-vox", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/leopold-2019-vox/leopold-2019-vox-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/leopold-2019-vox/leopold-2019-vox-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1491 ], "date_end": "2019-12", "date_start": "2018-07", "matrikelnr": "01327344", "supervisor": [ 848, 193 ], "research_areas": [ "Rendering" ], "keywords": [ "OpenGL", "Voxelization", "Linux", "Hardware Acceleration" ], "weblinks": [ { "href": "https://github.com/lemurni/Engine186-Linux/tree/voxelization-pull-requests", "caption": "Project on GitHub", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 512, "image_height": 512, "name": "leopold-2019-vox-image.jpg", "type": "image/jpeg", "size": 156949, "path": "Publication:leopold-2019-vox", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/leopold-2019-vox/leopold-2019-vox-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/leopold-2019-vox/leopold-2019-vox-image:thumb{{size}}.png" }, { "description": "The document describes the steps neccessary to port a specific, given, real-time rendering framework from a Microsoft Visual Studio setup to Linux.", "filetitle": "Linux Port", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leopold-2019-vox-Linux Port.pdf", "type": "application/pdf", "size": 76265, "path": "Publication:leopold-2019-vox", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/leopold-2019-vox/leopold-2019-vox-Linux Port.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/leopold-2019-vox/leopold-2019-vox-Linux Port:thumb{{size}}.png" }, { "description": "Describes how a voxelization algorithm has been implemented and added to Engine186.", "filetitle": "Voxelization Algorithm", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leopold-2019-vox-Voxelization Algorithm.pdf", "type": "application/pdf", "size": 644379, "path": "Publication:leopold-2019-vox", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/leopold-2019-vox/leopold-2019-vox-Voxelization Algorithm.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/leopold-2019-vox/leopold-2019-vox-Voxelization Algorithm:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/leopold-2019-vox/", "__class": "Publication" }, { "id": "klein_2019_PHD", "type_id": "phdthesis", "tu_id": 284011, "repositum_id": null, "title": "Instant Construction of Atomistic Models for Visualization in Integrative Cell Biology", "date": "2019-11-23", "abstract": "AbstractComputational models have advanced research of integrative cell biology in variousways. Especially in the biological mesoscale, the scale between atoms and cellularenvironments, computational models improve the understanding and qualitative anal-ysis. The mesoscale is an important range, since it represents the range of scalesthat are not fully accessible to a single experimental technique. Complex molecularassemblies within this scale have been visualized with x-ray crystallography, thoughonly in isolation. Mesoscale models shows how molecules are assembled into morecomplex subcelluar environments that orchestrate the processes of life. The skillfulcombination of the results of imaging and experimental techniques provides a glimpseof the processes, which are happening here. Only recently, biologists have startedto unify the various sources of information. They have begun to computationallyassemble and subsequently visualize complex environments, such as viruses or bacteria.Currently, we live in an opportune time for researching integrative structural biologydue to several factors. First and foremost, the wealth of data, driven through sourceslike online databases, makes structural information about biological entities publiclyavailable. In addition to that, the progress of parallel processors builds the foundationto instantly construct and render large mesoscale environments in atomistic detail.Finally, new scientific advances in visualization allow the efficient rendering of complexbiological phenomena with millions of structural units.In this cumulative thesis, we propose several novel techniques that facilitate the instantconstruction of mesoscale structures. The common methodological strategy of thesetechniques and insight from this thesis is “compute instead of store”. This approacheliminates the storage and memory management complexity, and enables instantchanges of the constructed models. Combined, our techniques are capable of instantlyconstructing large-scale biological environments using the basic structural buildingblocks of cells. These building blocks are mainly nucleic acids, lipids, and solubleproteins. For the generation of long linear polymers formed by nucleic acids, wepropose a parallel construction technique that makes use of a midpoint displacementalgorithm. The efficient generation of lipid membranes is realized through a texturesynthesis approach that makes use of the Wang tiling concept. For the population ofsoluble proteins, we present a staged algorithm, whereby each stage is processed inparallel. We have integrated the instant construction approach into a visual environmentin order to improve several aspects. First, it allows immediate feedback on the createdix\nstructures and the results of parameter changes. Additionally, the integration ofconstruction in visualization builds the foundation for visualization systems that striveto construct large-scale environments on-the-fly. Lastly, it advances the qualitativeanalysis of biological mesoscale environments, where a multitude of synthesized modelsis required. In order to disseminate the physiology of biological mesoscale models,we propose a novel concept that simplifies the creation of multi-scale proceduralanimations.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 891, "image_height": 439, "name": "klein_2019_PHD-image.JPG", "type": "image/jpeg", "size": 144960, "path": "Publication:klein_2019_PHD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/klein_2019_PHD-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/klein_2019_PHD-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1285 ], "co_supervisor": [ 166 ], "date_end": "2019", "date_start": "2016", "open_access": "yes", "reviewer_1": [ 592 ], "reviewer_2": [ 951 ], "rigorosum": "2019-11-29", "supervisor": [ 171 ], "research_areas": [ "BioVis", "IllVis", "Modeling", "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 891, "image_height": 439, "name": "klein_2019_PHD-image.JPG", "type": "image/jpeg", "size": 144960, "path": "Publication:klein_2019_PHD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/klein_2019_PHD-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/klein_2019_PHD-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "klein_2019_PHD-thesis.pdf", "type": "application/pdf", "size": 99211024, "path": "Publication:klein_2019_PHD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/klein_2019_PHD-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/klein_2019_PHD-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/", "__class": "Publication" }, { "id": "kroesl-2019-MoD", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Master of Disaster: Virtual-Reality Response Training in Disaster Management", "date": "2019-11-15", "abstract": "To be prepared for flooding events, disaster response personnel has to be trained to execute developed action plans.\nWe present a flood response training system which connects an interactive flood simulation with a VR client.\nThe collaborative operator-trainee setup of our system allows a trainee to steer the remote simulation from within the virtual environment, evaluate the effectiveness of deployed protection measures, and compare the results across multiple simulation runs.\nAn operator supervises the trainee's actions from a linked desktop application to provide assistance in complex tasks.\nThe versatility of our system is demonstrated on four different city models.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1500, "image_height": 1200, "name": "kroesl-2019-MoD-image.jpg", "type": "image/jpeg", "size": 1658126, "path": "Publication:kroesl-2019-MoD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030, 1387, 1266, 877, 798 ], "cfp": { "name": "SUBMISSIONS – ACM SIGGRAPH VRCAI 2019.pdf", "type": "application/pdf", "error": "0", "size": "2196455", "orig_name": "SUBMISSIONS – ACM SIGGRAPH VRCAI 2019.pdf", "ext": "pdf" }, "date_from": "2019-11-14", "date_to": "2019-11-16", "doi": "10.1145/3359997.3365729", "event": "VRCAI 2019", "isbn": "978-1-4503-7002-8", "journal": "Proceeding VRCAI '19 The 17th International Conference on Virtual-Reality Continuum and its Applications in Industry Article No. 49", "location": "Brisbane, Australia", "research_areas": [ "VR" ], "keywords": [ "virtual reality", "flood simulation", "disaster training" ], "weblinks": [], "files": [ { "description": "author's version", "filetitle": "extended abstract", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2019-MoD-extended abstract.pdf", "type": "application/pdf", "size": 4942595, "path": "Publication:kroesl-2019-MoD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-extended abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-extended abstract:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1500, "image_height": 1200, "name": "kroesl-2019-MoD-image.jpg", "type": "image/jpeg", "size": 1658126, "path": "Publication:kroesl-2019-MoD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 8997, "image_height": 12720, "name": "kroesl-2019-MoD-poster.png", "type": "image/png", "size": 13621472, "path": "Publication:kroesl-2019-MoD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-poster.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2019-MoD-video.mp4", "type": "video/mp4", "size": 81933045, "path": "Publication:kroesl-2019-MoD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-video:video.mp4" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/", "__class": "Publication" }, { "id": "Weissenboeck_2019_PhD", "type_id": "phdthesis", "tu_id": 283986, "repositum_id": null, "title": "Visual Analysis of Methods for Processing 3D X-ray Computed Tomography Data of Advanced Composites", "date": "2019-11-04", "abstract": "Advanced composites have excellent mechanical properties at low weight and can be realized as complex components that can be manufactured quickly and cost-effectively. Due to these outstanding characteristics, these materials are used in many di˙erent areas of industry, such as aviation and automotive. Industrial 3D X-ray computed tomography (XCT) is used as a non-destructive testing (NDT) method to inspect the quality of components and to develop new advanced composite materials. XCT has the ability to determine the inner and outer geometries of a specimen non-destructively. For example, interesting features in fiber-reinforced polymers (FRPs) such as fibers, pores, and higher-density inclusions can be detected. The high resolutions of modern XCT devices generate large volume datasets, which reveal very fine structures. However, this high information content makes the exploration and analysis of the datasets with conventional methods very diÿcult and time-consuming.\nIn this doctoral thesis, typical NDT application scenarios of advanced composites using XCT are addressed and visual analysis methods and visualization techniques are designed to provide material experts with tools to improve their workflow and to eÿciently analyze the XCT data, so that domain-specific questions can be answered easily and quickly. This work describes a novel visualization system for the interactive exploration and detailed analysis of FRPs, a tool for the visual analysis and evaluation of segmentation filters to accurately determine porosity in FRPs, and a more general system for the visual comparison of interesting features in an ensemble of XCT datasets are presented. The results of the individual visualization systems are presented using real-world and simulated XCT data. The proposed visual analysis methods support the experts in their workflows by enabling improved data analysis processes that are simple, fast, and well-founded, and provide new insights into material characterization with XCT.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 233, "image_height": 270, "name": "Weissenboeck_2019_PhD-image.JPG", "type": "image/jpeg", "size": 19128, "path": "Publication:Weissenboeck_2019_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019_PhD/Weissenboeck_2019_PhD-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019_PhD/Weissenboeck_2019_PhD-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1169 ], "co_supervisor": [ 611 ], "duration": " ", "matrikelnr": "0325215", "open_access": "yes", "reviewer_1": [ 1028 ], "reviewer_2": [ 1735 ], "rigorosum": "2019-12-05", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 233, "image_height": 270, "name": "Weissenboeck_2019_PhD-image.JPG", "type": "image/jpeg", "size": 19128, "path": "Publication:Weissenboeck_2019_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019_PhD/Weissenboeck_2019_PhD-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019_PhD/Weissenboeck_2019_PhD-image:thumb{{size}}.png" }, { "description": null, "filetitle": "PhD Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Weissenboeck_2019_PhD-PhD Thesis.pdf", "type": "application/pdf", "size": 31521977, "path": "Publication:Weissenboeck_2019_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019_PhD/Weissenboeck_2019_PhD-PhD Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019_PhD/Weissenboeck_2019_PhD-PhD Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019_PhD/", "__class": "Publication" }, { "id": "SCHUETZ-2019-PCC", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Rendering Point Clouds with Compute Shaders", "date": "2019-11", "abstract": "We propose a compute shader based point cloud rasterizer with up to 10 times higher performance than classic point-based rendering with the GL_POINT primitive. In addition to that, our rasterizer offers 5 byte depth-buffer precision with uniform or customizable distribution, and we show that it is possible to implement a highquality splatting method that blends together overlapping fragments while still maintaining higher frame-rates than the traditional approach.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1145, "image_height": 445, "name": "SCHUETZ-2019-PCC-image.png", "type": "image/png", "size": 90952, "path": "Publication:SCHUETZ-2019-PCC", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/SCHUETZ-2019-PCC/SCHUETZ-2019-PCC-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/SCHUETZ-2019-PCC/SCHUETZ-2019-PCC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1116, 193 ], "cfp": { "name": "cfp_siggraph_asia2019.pdf", "type": "application/pdf", "error": "0", "size": "715388", "orig_name": "cfp_siggraph_asia2019.pdf", "ext": "pdf" }, "date_from": "2019-11", "date_to": "2019-11", "event": "SIGGRAPH Asia", "isbn": "978-1-4503-6943-5/19/11", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [ { "href": "https://github.com/m-schuetz/compute_rasterizer", "caption": "source", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "abstract", "main_file": false, "use_in_gallery": false, "access": "public", "name": "SCHUETZ-2019-PCC-abstract.pdf", "type": "application/pdf", "size": 487892, "path": "Publication:SCHUETZ-2019-PCC", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/SCHUETZ-2019-PCC/SCHUETZ-2019-PCC-abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/SCHUETZ-2019-PCC/SCHUETZ-2019-PCC-abstract:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1145, "image_height": 445, "name": "SCHUETZ-2019-PCC-image.png", "type": "image/png", "size": 90952, "path": "Publication:SCHUETZ-2019-PCC", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/SCHUETZ-2019-PCC/SCHUETZ-2019-PCC-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/SCHUETZ-2019-PCC/SCHUETZ-2019-PCC-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "SCHUETZ-2019-PCC-poster.pdf", "type": "application/pdf", "size": 15302985, "path": "Publication:SCHUETZ-2019-PCC", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/SCHUETZ-2019-PCC/SCHUETZ-2019-PCC-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/SCHUETZ-2019-PCC/SCHUETZ-2019-PCC-poster:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/SCHUETZ-2019-PCC/", "__class": "Publication" }, { "id": "panfili-2019-VAVR", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Effects of VR-Displays on Visual Acuity", "date": "2019-11", "abstract": "The perceived visual acuity (VA) of people in virtual reality (VR), using a head-mounted display (HMD), is not equal to their VA in the real world. The reason for this difference is the reduction of visual acuity in the virtual environment that is caused by various factors, such as the low resolution of the VR display. Based on those circumstances, the capacity of an individual to distinguish small details diminishes visibly. Previous studies regarding eyesight in VR have already verified how the best visual resolution in virtual environments is always lower than the natural vision and therefore this aspect could be seen as a mild vision impairment for the users of an HMD.\nThe goal of this project is to investigate how much the VA is reduced in VR and respectively whether the decrease of VA in VR is perceived similar by everyone or if visual impairments like Myopia, influence the visual perception.\nBased on a previous project, two different tests were implemented with the game engine Unreal Engine 4, a VR version for which an HTC VIVE headset was used, along with a desktop version. These tests were used to investigate the VA of the participant in a user study and the results have been compared to each other in order to find the extent to which visual impairments have an impact on VA.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1075, "image_height": 918, "name": "panfili-2019-VAVR-image.png", "type": "image/png", "size": 637497, "path": "Publication:panfili-2019-VAVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/panfili-2019-VAVR/panfili-2019-VAVR-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/panfili-2019-VAVR/panfili-2019-VAVR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1658 ], "date_end": "2019-11", "date_start": "2019-04", "matrikelnr": "01527648", "supervisor": [ 1030 ], "research_areas": [ "Perception", "Rendering", "VR" ], "keywords": [ "virtual reality", "visual acuity" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1075, "image_height": 918, "name": "panfili-2019-VAVR-image.png", "type": "image/png", "size": 637497, "path": "Publication:panfili-2019-VAVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/panfili-2019-VAVR/panfili-2019-VAVR-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/panfili-2019-VAVR/panfili-2019-VAVR-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "panfili-2019-VAVR-thesis.pdf", "type": "application/pdf", "size": 4765683, "path": "Publication:panfili-2019-VAVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/panfili-2019-VAVR/panfili-2019-VAVR-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/panfili-2019-VAVR/panfili-2019-VAVR-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/panfili-2019-VAVR/", "__class": "Publication" }, { "id": "adolf-2019-jug", "type_id": "inproceedings", "tu_id": 283044, "repositum_id": null, "title": "Juggling in VR: Advantages of Immersive Virtual Reality in Juggling Learning", "date": "2019-11", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 462, "image_height": 279, "name": "adolf-2019-jug-.jpg", "type": "image/jpeg", "size": 112678, "path": "Publication:adolf-2019-jug", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/adolf-2019-jug/adolf-2019-jug-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/adolf-2019-jug/adolf-2019-jug-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1721, 1720, 1722, 378, 1723, 1724 ], "booktitle": "25th ACM Symposium on Virtual Reality Software and Technology", "cfp": { "name": "vrstcfp.pdf", "type": "application/pdf", "error": "0", "size": "1742542", "orig_name": "vrstcfp.pdf", "ext": "pdf" }, "event": "25th ACM Symposium on Virtual Reality Software and Technology", "lecturer": [ 378 ], "open_access": "no", "pages_from": "1", "pages_to": "5", "publisher": "ACM", "research_areas": [ "VR" ], "keywords": [], "weblinks": [ { "href": "https://dl.acm.org/citation.cfm?id=3364246", "caption": "ACM", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 462, "image_height": 279, "name": "adolf-2019-jug-.jpg", "type": "image/jpeg", "size": 112678, "path": "Publication:adolf-2019-jug", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/adolf-2019-jug/adolf-2019-jug-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/adolf-2019-jug/adolf-2019-jug-:thumb{{size}}.png" } ], "projects_workgroups": [ "vr" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/adolf-2019-jug/", "__class": "Publication" }, { "id": "klein_2019_PGG", "type_id": "journalpaper", "tu_id": 283953, "repositum_id": null, "title": "Parallel Generation and Visualization of Bacterial Genome Structures", "date": "2019-11", "abstract": "Visualization of biological mesoscale models provides a glimpse at the inner workings of living cells. One of the most complex components of these models is DNA, which is of fundamental importance for all forms of life. Modeling the 3D structure of genomes has previously only been attempted by sequential approaches. We present the first parallel approach for the instant construction of DNA structures. Traditionally, such structures are generated with algorithms like random walk, which have inherent sequential constraints. These algorithms result in the desired structure, are easy to control, and simple to formulate. Their execution, however, is very time-consuming, as they are not designed to exploit parallelism. We propose an approach to parallelize the process, facilitating an implementation on the GPU.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1534, "image_height": 782, "name": "klein_2019_PGG-teaser.png", "type": "image/png", "size": 2567699, "path": "Publication:klein_2019_PGG", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1285, 935, 1260, 1365, 1475, 166, 171 ], "cfp": { "name": "Capture.JPG", "type": "image/jpeg", "error": "0", "size": "167470", "orig_name": "Capture.JPG", "ext": "JPG" }, "date_from": "2019", "date_to": "2019", "doi": "10.1111/cgf.13816", "event": "Pacific Graphics 2109", "journal": "Computer Graphics Forum", "lecturer": [ 1285 ], "number": "7", "pages_from": "57", "pages_to": "68", "volume": "38", "research_areas": [ "BioVis", "IllVis", "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "klein_2019_PGG-paper.pdf", "type": "application/pdf", "size": 9192118, "path": "Publication:klein_2019_PGG", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1534, "image_height": 782, "name": "klein_2019_PGG-teaser.png", "type": "image/png", "size": 2567699, "path": "Publication:klein_2019_PGG", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/", "__class": "Publication" }, { "id": "WINKLER-2019-PDG", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Pose-Driven Generation and Optimization of Seating Furniture", "date": "2019-10-21", "abstract": "Modern furniture design systems provide seating solutions for various applications,\nranging from general purpose solutions to specific environments. The central goal of\nfurniture design is to create comfortable seating surfaces. To provide optimal comfort for\na specific person and environment, personalized furniture design is required. As comfort\nis generally seen as the user’s subjective feeling, objective comfort measures are defined\nthat approximate a person’s comfort for a given seating surface. Computational furniture\ndesign systems create seating solutions for a given scenario using interactive algorithms.\nSpecialized seating surfaces often require extensive manual design effort.\nIn this thesis, a computational furniture design framework to generate personalized\nseating surfaces is proposed. Utilizing a notation of sitting comfort based on equal\npressure distribution, our algorithm generates seating surface models fitted to a person\nin a specific pose. We introduce an automated furniture design framework able to create\ncomfortable seating surfaces for specific body shapes and poses. We developed a generic\ntemplate model capable of supporting a large variety of sitting poses and human body\nshapes that is matched to an input pose in multi stage fitting process. Furthermore, we\nintroduce a non-linear mesh optimization algorithm for further functional and visual\nimprovements.\nIn addition, the proposed framework serves as a fully automated solution to create\nspecialized control meshes usable as input meshes in other design frameworks, thus\neliminating the need for manual design effort.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 663, "image_height": 656, "name": "WINKLER-2019-PDG-image.jpg", "type": "image/jpeg", "size": 45401, "path": "Publication:WINKLER-2019-PDG", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1422 ], "date_end": "2019-10-21", "date_start": "2018-11", "diploma_examina": "2020-01-22", "matrikelnr": "01129264", "supervisor": [ 193, 844 ], "research_areas": [ "Fabrication", "Modeling" ], "keywords": [ "optimization", "fabrication" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 663, "image_height": 656, "name": "WINKLER-2019-PDG-image.jpg", "type": "image/jpeg", "size": 45401, "path": "Publication:WINKLER-2019-PDG", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "WINKLER-2019-PDG-poster.pdf", "type": "application/pdf", "size": 3600871, "path": "Publication:WINKLER-2019-PDG", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "WINKLER-2019-PDG-thesis.pdf", "type": "application/pdf", "size": 19964084, "path": "Publication:WINKLER-2019-PDG", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/", "__class": "Publication" }, { "id": "wu-2019-visworkshop", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Graph Models for Biological Pathway Visualization: State of the Art and Future Challenges", "date": "2019-10-20", "abstract": "The concept of multilayer networks has become recently integrated into complex systems modeling since it encapsulates a very general concept of complex relationships. Biological pathways are an exam- ple of complex real-world networks, where vertices represent biolog- ical entities, and edges indicate the underlying connectivity. For this reason, using multilayer networks to model biological knowledge allows us to formally cover essential properties and theories in the field, which also raises challenges in visualization. This is because, in the early days of pathway visualization research, only restricted types of graphs, such as simple graphs, clustered graphs, and others were adopted. In this paper, we revisit a heterogeneous definition of biological networks and aim to provide an overview to see the gaps between data modeling and visual representation. The contribution will, therefore, lie in providing guidelines and challenges of using multilayer networks as a unified data structure for the biological pathway visualization.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-visworkshop-image.png", "type": "image/png", "size": 22606, "path": "Publication:wu-2019-visworkshop", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 171 ], "cfp": { "name": "Multilayer_Network_Visualization_Workshop_VIS_2019.pdf", "type": "application/pdf", "error": "0", "size": "508927", "orig_name": "Multilayer_Network_Visualization_Workshop_VIS_2019.pdf", "ext": "pdf" }, "event": "Vis 2019 Workshop", "lecturer": [ 1464 ], "location": "Canada", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [ "Graph drawing", "multilayer network", "biological pathway" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-visworkshop-image.png", "type": "image/png", "size": 22606, "path": "Publication:wu-2019-visworkshop", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2019-visworkshop-paper.pdf", "type": "application/pdf", "size": 252096, "path": "Publication:wu-2019-visworkshop", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/", "__class": "Publication" }, { "id": "Goellner_2019-ABC", "type_id": "inproceedings", "tu_id": 283368, "repositum_id": null, "title": "Virtual Reality CBRN Defence", "date": "2019-10-18", "abstract": "Over the past decade, training in virtual reality for military and disaster preparedness has been increasingly recognized as an important adjunct to traditional modalities of real-life drills. However, there are only a few existing solutions that provide immersive virtual reality training and improve learning through an increased amount of presence. In this paper, we present a novel and flexible Virtual Reality (VR) training system for military and first responders that enables realistic multi-user training in large environments. We show how the requirements of peer stakeholders for disaster relief with an explicit focus on CBRN disaster preparedness transfer to the concept, current implementation and future features of our system. The development and integration of multiple technologies allows a wide variety of interaction and collaboration within our immersive system. In addition, we demonstrate the training capabilities of our proposed system with a multi-user training scenario, simulating a CBRN crisis. Results from our technical and user evaluation with 13 experts in CBRN response from the Austrian Armed Forces (National Defence Academy & Competence Center NBC Defence) indicate strong applicability and user acceptance. Over 80% of the participants agreed “much” or “very much” that the presented system can be used to support training for CBRN-crisis preparedness.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1726, 1727, 1728, 1729, 1731, 378 ], "booktitle": "Meeting Proceedings of the Simulation and Modelling Group Symposium 171", "cfp": { "name": "Call_for_Papers.pdf", "type": "application/pdf", "error": "0", "size": "409042", "orig_name": "Call_for_Papers.pdf", "ext": "pdf" }, "event": "Simulation and Modelling Group Symposium 171", "lecturer": [ 1731, 1726 ], "location": "Vienna", "open_access": "yes", "organization": "NATO S & T", "pages_from": "1", "pages_to": "25", "publisher": "STO", "research_areas": [ "VR" ], "keywords": [ "Virtual Reality", "Mixed Reality", "first responder training", "CBRN", "ABC" ], "weblinks": [ { "href": "https://www.sto.nato.int/publications/STO%20Meeting%20Proceedings/STO-MP-MSG-171/MP-MSG-171-16.pdf", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Goellner_2019-ABC-Paper.pdf", "type": "application/pdf", "size": 797322, "path": "Publication:Goellner_2019-ABC", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Goellner_2019-ABC/Goellner_2019-ABC-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Goellner_2019-ABC/Goellner_2019-ABC-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vr" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Goellner_2019-ABC/", "__class": "Publication" }, { "id": "rinortner_susanne-2019-vpicc", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visualizing Protein Interactions in Corresponding Compartments", "date": "2019-10-16", "abstract": "The visualization of networks for protein interactions is an important step to understand them. There are already many approaches for this task, but most of them do not show any information about the compartment of the cell the proteins belong to. Since the placement of proteins inside a cell is important information, because it helps to understand their interactions, this thesis proposes a method to visualize protein inside cell compartments. The objective of this project is a clear and understandable visualization of interactions between proteins and where these interactions or reactions happen inside the cell. This project uses a three-dimensional model of a cell as a base and intersects it using cutting planes. Then the intersection surface is sampled and reconstructed using Delaunay triangulation. To the mesh created by the triangulation, a force-directed algorithm is applied. This algorithm is used to scale single-cell parts in order to fit all proteins inside. This ensures that none of the cell parts get overfilled. The result is a new method that makes it possible to visualize not only protein-protein interactions but also in which compartment of the cell the proteins are located.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1650, "image_height": 832, "name": "rinortner_susanne-2019-vpicc-image.png", "type": "image/png", "size": 864375, "path": "Publication:rinortner_susanne-2019-vpicc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/rinortner_susanne-2019-vpicc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/rinortner_susanne-2019-vpicc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1704 ], "date_end": "2019-10-15", "date_start": "2019-03-05", "matrikelnr": "01526772", "supervisor": [ 1464 ], "research_areas": [ "BioVis" ], "keywords": [ "Biological pathways" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1650, "image_height": 832, "name": "rinortner_susanne-2019-vpicc-image.png", "type": "image/png", "size": 864375, "path": "Publication:rinortner_susanne-2019-vpicc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/rinortner_susanne-2019-vpicc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/rinortner_susanne-2019-vpicc-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "rinortner_susanne-2019-vpicc-thesis.pdf", "type": "application/pdf", "size": 21289575, "path": "Publication:rinortner_susanne-2019-vpicc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/rinortner_susanne-2019-vpicc-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/rinortner_susanne-2019-vpicc-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/", "__class": "Publication" }, { "id": "mazurek-2018-vac", "type_id": "masterthesis", "tu_id": 282668, "repositum_id": null, "title": "Visual Active Learning for News Stream Classification", "date": "2019-10-10", "abstract": "In many domains, the sheer quantity of text documents that have to be parsed increases\ndaily. To keep up with this continuous text stream, a considerable amount of time has to be invested. We developed a classification interface for text streams that learns user-specific topics from the user’s labeling process and partitions the incoming data into these topics.\nCurrent approaches that try to derive content categorization from a vast number of unstructured text documents use pre-trained learning models to perform text classification.\nThese models assign predefined categories to the text according to its content. Depending on the use case, a user’s interests might not coincide with the given categories. The model cannot adapt to changing terminology that was not present during training. Besides these factors, users often do not trust pre-trained models as they are a black box for them.\nTo solve this problem, our application lets users define a classification problem and\ntrain a learning model through interaction with a Star Coordinates visualization. The\napproach that makes this interaction efficient is a variant of active learning. This active learning variant states that a learning model can achieve greater accuracy with fewer labeled training instances, if a user provides data purposefully from which it learns. We adapted this strategy for text stream classification by visualizing the topic affiliation probabilities of the learning model and providing novel interaction tools to enhance the model’s performance iteratively. By simulating different selection strategies common in active learning, we found that our visual selection strategies correspond closely to the classic active learning selection\nstrategies. Further, users performed on par with the best simulated selection strategies in the results from our preliminary user study. Our evaluation concludes that there are benefits from incorporating information visualization into the active learning process.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 668, "image_height": 638, "name": "mazurek-2018-vac-image.png", "type": "image/png", "size": 56667, "path": "Publication:mazurek-2018-vac", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1364 ], "date_end": "2019-10-10", "date_start": "2018-03", "matrikelnr": "0123456", "open_access": "yes", "supervisor": [ 1110, 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 668, "image_height": 638, "name": "mazurek-2018-vac-image.png", "type": "image/png", "size": 56667, "path": "Publication:mazurek-2018-vac", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "mazurek-2018-vac-Master thesis.pdf", "type": "application/pdf", "size": 5490435, "path": "Publication:mazurek-2018-vac", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "mazurek-2018-vac-Poster.pdf", "type": "application/pdf", "size": 1520895, "path": "Publication:mazurek-2018-vac", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/", "__class": "Publication" }, { "id": "Pfahler-2016-MT", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Visualisierung hochdimensionaler Daten mit hierarchischer Gruppierung von Teilmengen", "date": "2019-10-01", "abstract": "The number of installed sensors to acquire data, for example electricity meters in smart grids, is increasing rapidly. The huge amount of collected data needs to be analyzed and monitored by transmission-system operators. This task is supported by visual analytics techniques, but traditional multi-dimensional data visualization techniques do not scale\nvery well for high-dimensional data. The main contribution of this thesis is a framework to efficiently examine and compare such high-dimensional data. The key idea is to divide the data by the semantics of the underlying dimensions into groups. Domain experts are familiar with the meta-information of the data and are able to structure these groups into a hierarchy. Various statistical properties are calculated from the subdivided data. These\nare then visualized by the proposed system using appropriate means. The hierarchy and\nthe visualizations of the calculated statistical values are displayed in a tabular layout.\nThe rows contain the subdivided data and the columns visualize their statistics. Flexible interaction possibilities with the visual representation help the experts to fulfill their analysis tasks. The tasks include searching for structures, sorting by statistical properties, identifying correlations of the subdivided data, and interactively subdivide or combine\nthe data. A usage scenario evaluates the design of the framework with a data set of the target domain in the energy sector.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 459, "image_height": 234, "name": "Pfahler-2016-MT-image.JPG", "type": "image/jpeg", "size": 29864, "path": "Publication:Pfahler-2016-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1283 ], "date_end": "2019-10-01", "date_start": "2016-09", "matrikelnr": "1126287 ", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 459, "image_height": 234, "name": "Pfahler-2016-MT-image.JPG", "type": "image/jpeg", "size": 29864, "path": "Publication:Pfahler-2016-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Pfahler-2016-MT-Master Thesis.pdf", "type": "application/pdf", "size": 6056490, "path": "Publication:Pfahler-2016-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Pfahler-2016-MT-Poster.pdf", "type": "application/pdf", "size": 545027, "path": "Publication:Pfahler-2016-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/", "__class": "Publication" }, { "id": "Edi_2019_10_01", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "The Wide Role of Informatics at Universities ", "date": "2019-10-01", "abstract": "In this report, we discuss the results of the online survey conducted by Informatics Europe Working Group on the Wide Role of Informatics at Universities. The main goals were to understand the value universities place on interdisciplinary research and teaching, what happens in practice with hiring and supporting interdisciplinary academics, and what structures are in place to support interdisciplinary work. We also examined Data Science’s impact in detail, given its rapid rise and importance. Forty eight universities from nineteen European countries have participated in the survey providing answers on these strategic topics.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 343, "image_height": 154, "name": "Edi_2019_10_01-image.JPG", "type": "image/jpeg", "size": 19902, "path": "Publication:Edi_2019_10_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Edi_2019_10_01/Edi_2019_10_01-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Edi_2019_10_01/Edi_2019_10_01-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1737, 1738, 1739, 166 ], "open_access": "yes", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 343, "image_height": 154, "name": "Edi_2019_10_01-image.JPG", "type": "image/jpeg", "size": 19902, "path": "Publication:Edi_2019_10_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Edi_2019_10_01/Edi_2019_10_01-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Edi_2019_10_01/Edi_2019_10_01-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Report", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Edi_2019_10_01-Report.pdf", "type": "application/pdf", "size": 2014768, "path": "Publication:Edi_2019_10_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Edi_2019_10_01/Edi_2019_10_01-Report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Edi_2019_10_01/Edi_2019_10_01-Report:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Edi_2019_10_01/", "__class": "Publication" }, { "id": "amirkhanov-2019-manylands", "type_id": "journalpaper", "tu_id": 282817, "repositum_id": null, "title": "ManyLands: A Journey Across 4D Phase Space of Trajectories", "date": "2019-10", "abstract": "Mathematical models of ordinary differential equations are used to describe and understand biological phenomena. These models are dynamical systems that often describe the time evolution of more than three variables, i.e., their dynamics take place in a multi-dimensional space, called the phase space. Currently, mathematical domain scientists use plots of typical trajectories in the phase space to analyze the qualitative behavior of dynamical systems. These plots are called phase portraits and they perform well for 2D and 3D dynamical systems. However, for 4D, the visual exploration of trajectories becomes challenging, as simple subspace juxtaposition is not sufficient. We propose ManyLands to support mathematical domain scientists in analyzing 4D models of biological systems. By describing the subspaces as Lands, we accompany domain scientists along a continuous journey through 4D HyperLand, 3D SpaceLand, and 2D FlatLand, using seamless transitions. The Lands are also linked to 1D TimeLines. We offer an additional dissected view of trajectories that relies on small-multiple compass-alike pictograms for easy navigation across subspaces and trajectory segments of interest. We show three use cases of 4D dynamical systems from cell biology and biochemistry. An informal evaluation with mathematical experts confirmed that ManyLands helps them to visualize and analyze complex 4D dynamics, while facilitating mathematical experiments and simulations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4939, "image_height": 2158, "name": "amirkhanov-2019-manylands-Teaser.png", "type": "image/png", "size": 1836064, "path": "Publication:amirkhanov-2019-manylands", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/amirkhanov-2019-manylands/amirkhanov-2019-manylands-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/amirkhanov-2019-manylands/amirkhanov-2019-manylands-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1170, 1692, 418, 817, 869, 166, 1410 ], "cfp": { "name": "Pacific Graphics 2019 - call for papers.pdf", "type": "application/pdf", "error": "0", "size": "1632206", "orig_name": "Pacific Graphics 2019 - call for papers.pdf", "ext": "pdf" }, "date_from": "2019-01-01", "date_to": "2019-06-07", "doi": "10.1111/cgf.13828", "event": "Pacific Graphics 2019", "journal": "Computer Graphics Forum", "lecturer": [ 1170 ], "location": "Seoul, South Korea", "number": "7", "pages_from": "191", "pages_to": "202", "volume": "38", "research_areas": [ "BioVis" ], "keywords": [ "Visual analytics", "Web-based interaction" ], "weblinks": [ { "href": "https://amirkhanov.net/manylands", "caption": "ManyLands repository", "description": null, "main_file": 0 }, { "href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.13828", "caption": "E-print", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "amirkhanov-2019-manylands-Paper.pdf", "type": "application/pdf", "size": 2824013, "path": "Publication:amirkhanov-2019-manylands", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/amirkhanov-2019-manylands/amirkhanov-2019-manylands-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/amirkhanov-2019-manylands/amirkhanov-2019-manylands-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4939, "image_height": 2158, "name": "amirkhanov-2019-manylands-Teaser.png", "type": "image/png", "size": 1836064, "path": "Publication:amirkhanov-2019-manylands", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/amirkhanov-2019-manylands/amirkhanov-2019-manylands-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/amirkhanov-2019-manylands/amirkhanov-2019-manylands-Teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "Video demo", "main_file": true, "use_in_gallery": false, "access": "public", "name": "amirkhanov-2019-manylands-Video demo.mp4", "type": "video/mp4", "size": 116969399, "path": "Publication:amirkhanov-2019-manylands", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/amirkhanov-2019-manylands/amirkhanov-2019-manylands-Video demo.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/amirkhanov-2019-manylands/amirkhanov-2019-manylands-Video demo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/amirkhanov-2019-manylands/amirkhanov-2019-manylands-Video demo:video.mp4" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/amirkhanov-2019-manylands/", "__class": "Publication" }, { "id": "Arleo-2019-vis", "type_id": "inproceedings", "tu_id": 280935, "repositum_id": null, "title": "Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge", "date": "2019-10", "abstract": "Investment planning requires knowledge of the financial landscape on a large scale, both in terms of geo-spatial and industry sector distribution. There is plenty of data available, but it is scattered across heterogeneous sources (newspapers, open data, etc.), which makes it difficult for financial analysts to understand the big picture. In this paper, we present Sabrina, a financial data analysis and visualization approach that incorporates a pipeline for the generation of firm-to-firm financial transaction networks. The pipeline is capable of fusing the ground truth on individual firms in a region with (incremental) domain knowledge on general macroscopic aspects of the economy. Sabrina unites these heterogeneous data sources within a uniform visual interface that enables the visual analysis process. In a user study with three domain experts, we illustrate the usefulness of Sabrina, which eases their analysis process.", "authors_et_al": false, "substitute": null, "main_image": { "description": "The different visualizations composing the Sabrina system", "filetitle": "sab_tease_nolabels", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4770, "image_height": 2496, "name": "Arleo-2019-vis-sab_tease_nolabels.png", "type": "image/png", "size": 3157916, "path": "Publication:Arleo-2019-vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Arleo-2019-vis/Arleo-2019-vis-sab_tease_nolabels.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Arleo-2019-vis/Arleo-2019-vis-sab_tease_nolabels:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1705, 1706, 1558, 1707, 1708, 1598, 1709, 966, 193, 1072 ], "booktitle": "IEEE VIS 2019", "cfp": { "name": "VIS 2019-Short Papers Call for Participation.pdf", "type": "application/pdf", "error": "0", "size": "450180", "orig_name": "VIS 2019-Short Papers Call for Participation.pdf", "ext": "pdf" }, "event": " IEEE Visualization Conference (VIS)", "lecturer": [ 1705 ], "location": "Vancouver, British Columbia, Canada", "open_access": "yes", "research_areas": [ "InfoVis" ], "keywords": [ "Visualization", "Visual Analytics" ], "weblinks": [ { "href": "https://arxiv.org/abs/1908.07479", "caption": "paper", "description": null, "main_file": 0 } ], "files": [ { "description": "The different visualizations composing the Sabrina system", "filetitle": "sab_tease_nolabels", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4770, "image_height": 2496, "name": "Arleo-2019-vis-sab_tease_nolabels.png", "type": "image/png", "size": 3157916, "path": "Publication:Arleo-2019-vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Arleo-2019-vis/Arleo-2019-vis-sab_tease_nolabels.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Arleo-2019-vis/Arleo-2019-vis-sab_tease_nolabels:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Arleo-2019-vis/", "__class": "Publication" }, { "id": "ESCHNER-2019-GDT", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Generating Synthetic Training Data for Video Surveillance Applications", "date": "2019-10", "abstract": "As the demand for ever-more capable computer vision systems has been increasing in\nrecent years, there is a growing need for labeled ground-truth data for such systems.\nThese ground-truth datasets are used for the training and evaluation of computer vision\nalgorithms and are usually created by manually annotating images or image sequences\nwith semantic labels. Synthetic video generation provides an alternative approach to\nthe problem of generating labels. Here, the label data and the image sequences can be\ncreated simultaneously by utilizing a 3D render engine. Many of the existing frameworks\nfor generating such synthetic datasets focus the context of autonomous driving, where\nvast amounts of labeled input data are needed.\nIn this thesis an implementation of a synthetic data generation framework for evaluating\ntracking algorithms in the context of video surveillance is presented. This framework uses\na commercially available game engine as a renderer to generate synthetic video clips that\ndepict different scenarios that can occur in a video surveillance setting. These scenarios\ninclude a multitude of interactions of different characters in a reconstructed environment.\nA collection of such synthetic clips is then compared to real videos by using it as an input\nfor two different tracking algorithms. While producing synthetic ground-truth data in\nreal time using a game engine is less work intensive than manual annotation, the results\nof the evaluation show that both tracking algorithms perform better on real data. This\nsuggests that the synthetic data coming from the framework is limited in its suitability\nfor evaluating tracking algorithms.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 639, "image_height": 359, "name": "ESCHNER-2019-GDT-image.jpg", "type": "image/jpeg", "size": 35929, "path": "Publication:ESCHNER-2019-GDT", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ESCHNER-2019-GDT/ESCHNER-2019-GDT-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ESCHNER-2019-GDT/ESCHNER-2019-GDT-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1653 ], "date_end": "2019-10-10", "date_start": "2019-03", "matrikelnr": "01633402", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "neural networks" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 639, "image_height": 359, "name": "ESCHNER-2019-GDT-image.jpg", "type": "image/jpeg", "size": 35929, "path": "Publication:ESCHNER-2019-GDT", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ESCHNER-2019-GDT/ESCHNER-2019-GDT-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ESCHNER-2019-GDT/ESCHNER-2019-GDT-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ESCHNER-2019-GDT-thesis.pdf", "type": "application/pdf", "size": 5814823, "path": "Publication:ESCHNER-2019-GDT", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ESCHNER-2019-GDT/ESCHNER-2019-GDT-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ESCHNER-2019-GDT/ESCHNER-2019-GDT-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ESCHNER-2019-GDT/", "__class": "Publication" }, { "id": "grossmann_2019_pelvisrunner_poster", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Pelvis Runner: A Visual Analytics Tool for Pelvic Organ Variability Exploration in Prostate Cancer Cohorts", "date": "2019-10", "abstract": "Pelvis Runner is a visual analysis tool for the exploration of the variability of segmented pelvic organs in multiple patients, across the course of radiation therapy treatment. Radiation treatment is performed through the course of weeks, during which the anatomy of the patient changes. This variability may be responsible for side effects, due to the potential over-irradiation of healthy tissues. Exploring and analyzing organ variability in patient cohorts can help clinical researchers to design more robust treatment strategies. Our work addresses, first, the global exploration and analysis of pelvic organ shape variability in an abstracted tabular view for the entire cohort. Second, local exploration and analysis of the variability are provided on-demand in anatomical 2D/3D views for cohort partitions. The Pelvis Runner has been evaluated by two clinical researchers and is a promising basis for the exploration of pelvic organ variability.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1366, 1444, 1445, 1568, 1569, 166, 1410 ], "cfp": { "name": "call_for_posters.pdf", "type": "application/pdf", "error": "0", "size": "179727", "orig_name": "call_for_posters.pdf", "ext": "pdf" }, "date_from": "2019-10-20", "date_to": "2019-10-25", "event": "IEEE VIS VAST", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "grossmann_2019_pelvisrunner_poster-poster.pdf", "type": "application/pdf", "size": 1938168, "path": "Publication:grossmann_2019_pelvisrunner_poster", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/grossmann_2019_pelvisrunner_poster/grossmann_2019_pelvisrunner_poster-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/grossmann_2019_pelvisrunner_poster/grossmann_2019_pelvisrunner_poster-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/grossmann_2019_pelvisrunner_poster/", "__class": "Publication" }, { "id": "Rumpler-2019-PPC", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Progressive Rendering of Massive Point Clouds in WebGL 2.0 Compute", "date": "2019-10", "abstract": "Rendering large point clouds is a computationally expensive task, and various optimizations are required to achieve the desired performance for realtime applications. It is typical to store the point data hierarchically to enable fast retrieval and visibility testing in point clouds that consist of billions of points. However, rendering the selected nodes is still a demanding task for the graphics units on modern devices. Especially on mobile devices rendering millions of points every frame is often not possible with sufficient frame rates. Techniques that progressively render the points of a point cloud were proposed to reduce the load on the GPU. The results of the previous frames are recycled, and details are accumulated over multiple frames. Combining hierarchical structures with progressive rendering, therefore, houses an exciting opportunity for increasing the performance for massive point clouds.\n\n\nThis work investigates a novel approach to render massive point clouds progressively in the browser by transforming the hierarchical structure locally into an unstructured pool of points. The pool is then rendered progressively with compute shaders and continuously updated with new nodes from the octree.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1660 ], "date_end": "2019-10", "date_start": "2019-07", "matrikelnr": "01526299", "supervisor": [ 1116 ], "research_areas": [ "Rendering" ], "keywords": [ "point cloud", "progressive rendering", "webgl" ], "weblinks": [ { "href": "https://github.com/ifl0w/potree", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Rumpler-2019-PPC-thesis.pdf", "type": "application/pdf", "size": 7887821, "path": "Publication:Rumpler-2019-PPC", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Rumpler-2019-PPC/Rumpler-2019-PPC-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Rumpler-2019-PPC/Rumpler-2019-PPC-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Rumpler-2019-PPC/", "__class": "Publication" }, { "id": "sietzen-ifv-2019", "type_id": "otherreviewed", "tu_id": null, "repositum_id": null, "title": "Interactive Feature Visualization in the Browser", "date": "2019-10", "abstract": "Excellent explanations of feature visualization already exist in the form of interactive articles, e.g. DeepDream, Feature Visualization, The Building Blocks of Interpretability, Activation Atlas, Visualizing GoogLeNet Classes. They mostly rely on curated prerendered visualizations, additionally providing colab notebooks or public repositories allowing the reader to reproduce those results. While precalculated visualizations have many advantages (directability, more processing budget), they are always discretized samples of a continuous parameter space. In the spirit of Tensorflow Playground, this project aims at providing a fully interactive interface to some basic functionality of the originally Python-based Lucid library, roughly corresponding to the concepts presented in the “Feature Visualization\" article. The user is invited to explore the effect of parameter changes in a playful way and without requiring any knowledge of programming, enabled by an implementation on top of TensorFlow.js. Live updates of the generated input image as well as feature map activations should give the user a visual intuition to the otherwise abstract optimization process. Further, this interface opens the domain of feature visualization to non-experts, as no scripting is required.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 759, "image_height": 614, "name": "sietzen-ifv-2019-screenshot.png", "type": "image/png", "size": 293509, "path": "Publication:sietzen-ifv-2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1373, 1110 ], "booktitle": "Proceedings of the Workshop on Visualization for AI explainability (VISxAI)", "cfp": { "name": "2nd VISxAI Workshop at IEEE VIS 2019.pdf", "type": "application/pdf", "error": "0", "size": "409701", "orig_name": "2nd VISxAI Workshop at IEEE VIS 2019.pdf", "ext": "pdf" }, "editor": "El-Assady, Mennatallah and Chau, Duen Horng (Polo) and Hohman, Fred and Perer, Adam and Strobelt, Hendrik and Viégas, Fernanda", "event": "Workshop on Visualization for AI explainability (VISxAI) at IEEE VIS 2019", "lecturer": [ 1373 ], "location": "Vancouver", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "http://visxai.stefansietzen.at/", "caption": "Explainable URL", "description": "Peer-reviewed submission for the workshop. ", "main_file": 1 }, { "href": "https://visxai.io/", "caption": "VISxAI Workshop 2019", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 759, "image_height": 614, "name": "sietzen-ifv-2019-screenshot.png", "type": "image/png", "size": 293509, "path": "Publication:sietzen-ifv-2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-screenshot:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sietzen-ifv-2019-video.mp4", "type": "video/mp4", "size": 51123687, "path": "Publication:sietzen-ifv-2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-video:video.mp4" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/", "__class": "Publication" }, { "id": "waldner-2019-rld", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "A Comparison of Radial and Linear Charts for Visualizing Daily Patterns", "date": "2019-10", "abstract": "Radial charts are generally considered less effective than linear charts. Perhaps the only exception is in visualizing periodical time-dependent data, which is believed to be naturally supported by the radial layout. It has been demonstrated that the\ndrawbacks of radial charts outweigh the benefits of this natural mapping. Visualization of daily patterns, as a special case, has not been systematically evaluated using radial charts. In contrast to yearly or weekly recurrent trends, the analysis of daily patterns on a radial chart may benefit from our trained skill on reading radial clocks that are ubiquitous in our culture. In a crowd-sourced experiment with 92 non-expert users, we evaluated the accuracy, efficiency, and subjective ratings of radial and linear charts for visualizing daily traffic accident patterns. We systematically compared juxtaposed 12-hours variants and single 24-hours variants for both layouts in four low-level tasks and one high-level interpretation task. Our results show that over all tasks, the most elementary 24-hours linear bar chart is most accurate and efficient and is also preferred by the users. This provides strong evidence for the use of linear layouts – even for visualizing periodical daily patterns.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Daily patterns visualized in a 24-hours radial chart. ", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 497, "image_height": 474, "name": "waldner-2019-rld-teaser.png", "type": "image/png", "size": 53565, "path": "Publication:waldner-2019-rld", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1110, 1121, 581, 1204, 1122, 235 ], "cfp": { "name": "IEEE VIS 2019 Call For Participation.pdf", "type": "application/pdf", "error": "0", "size": "545751", "orig_name": "IEEE VIS 2019 Call For Participation.pdf", "ext": "pdf" }, "date_from": "2019-10-20", "date_to": "2019-10-25", "doi": "10.1109/TVCG.2019.2934784", "event": "IEEE VIS InfoVis", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1110 ], "location": "Vancouver, Canada", "pages_from": "1033", "pages_to": "1042", "volume": "26", "research_areas": [ "InfoVis", "Perception" ], "keywords": [ "radial charts", "time series data", "daily patterns", "crowd-sourced experiment" ], "weblinks": [ { "href": "https://vimeo.com/371939694", "caption": "Presentation recording from IEEE VIS 2019 (VGTC Vimeo)", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "waldner-2019-rld-paper.pdf", "type": "application/pdf", "size": 892625, "path": "Publication:waldner-2019-rld", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-paper:thumb{{size}}.png" }, { "description": "Powerpoint slides of presentation at IEEE VIS 2019 (do not contain animations and videos). ", "filetitle": "slides ", "main_file": false, "use_in_gallery": false, "access": "public", "name": "waldner-2019-rld-slides .pdf", "type": "application/pdf", "size": 12853249, "path": "Publication:waldner-2019-rld", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-slides .pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-slides :thumb{{size}}.png" }, { "description": "Supplemental information about the user study", "filetitle": "supplement", "main_file": false, "use_in_gallery": false, "access": "public", "name": "waldner-2019-rld-supplement.pdf", "type": "application/pdf", "size": 2511402, "path": "Publication:waldner-2019-rld", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-supplement.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-supplement:thumb{{size}}.png" }, { "description": "Daily patterns visualized in a 24-hours radial chart. ", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 497, "image_height": 474, "name": "waldner-2019-rld-teaser.png", "type": "image/png", "size": 53565, "path": "Publication:waldner-2019-rld", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video preview", "main_file": false, "use_in_gallery": false, "access": "public", "name": "waldner-2019-rld-video preview.mp4", "type": "video/mp4", "size": 3082628, "path": "Publication:waldner-2019-rld", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-video preview.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-video preview:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-video preview:video.mp4" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/", "__class": "Publication" }, { "id": "li-2019-gdc", "type_id": "unknown", "tu_id": 282819, "repositum_id": null, "title": "World map of recipes", "date": "2019-09-19", "abstract": "This poster visualises the Meal Ingredients dataset with 151 international food recipes and their corresponding ingredients. The underlying graph layout in the image is automatically generated using a new multi-level force-based algorithm developed by the authors, but not yet published. The background flags were added manually to identify the countries from the data set. The algorithm aims to untangle mutually nested subgraphs by harmonizing the available space for the labels and improving edge visibility by duplicating high-frequency ingredient nodes. Ingredients occurring in multiple countries also receive at least one node per country. The idea is inspired by map diagrams, which often show the semantics enclosed by country boundaries. In our diagram, countries are represented by octolinear polygons, and are placed next to each other if they share many ingredients in their recipes. The actual placement of the countries by the algorithm is entirely data driven. As we can see, this design naturally gathers countries that are located on the same continent, due to the accessibility of the ingredients. The names of recipes are visualized using textual labels with sharp corners, and they are enclosed by the country polygon they belong to. Contrarily, ingredients are represented by textual labels with rounded corners. Moreover, ingredients are visually classified into common (pink) and special (blue) ingredients based on their frequency in the dataset. \nFor visually analyzing the data set, we can generate smoothed spanning trees along the boundaries of an (invisible) Voronoi diagram of all textual labels to connect identical nodes to visually integrate all copies of one ingredient. For example, we highlighted the ingredient \"soy sauce\", one of the most commonly used ingredients in Asia, to discover that it has spread to the UK as well. We can also perform visual queries for related recipes based on sharing rare ingredients. For example, the British dish \"steak and kidney pie\" is highlighted in green together with three blue spanning trees connecting all recipes related to that dish via at least one of its special (blue) ingredients.", "authors_et_al": false, "substitute": null, "main_image": { "description": "1st Place Award, Creative Topic-\"Meal Ingredients\", of the 28th Annual Graph Drawing Contest", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "li-2019-gdc-image.png", "type": "image/png", "size": 109353, "path": "Publication:li-2019-gdc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/li-2019-gdc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/li-2019-gdc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1698, 1699, 1579, 171, 1464 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "1st Place Award, Creative Topic-\"Meal Ingredients\", of the 28th Annual Graph Drawing Contest", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "li-2019-gdc-image.png", "type": "image/png", "size": 109353, "path": "Publication:li-2019-gdc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/li-2019-gdc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/li-2019-gdc-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "li-2019-gdc-poster.pdf", "type": "application/pdf", "size": 1508060, "path": "Publication:li-2019-gdc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/li-2019-gdc-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/li-2019-gdc-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/", "__class": "Publication" }, { "id": "korpitsch_thorsten-2019", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Optimising 3D Mesh Unfoldings with Additional Gluetags using Simulated Annealing", "date": "2019-09-17", "abstract": "3D Mesh Unfolding is the process of transforming a 3D mesh into a 2D planar patch. This\ntechnique can be used to create papercraft models, where 3D objects get reconstructed\nfrom planar paper or paper-like material. As the reconstruction of unfolded models\ncan be very hard, users need indicators of which faces have to be glued together. In\nthis thesis, Gluetags are introduced to give users extra space to apply glue to ease\nthe reconstruction. The addition of these Gluetags increases the difficulty of finding\noverlap-free unfoldings that can be cut out of a single piece of paper to reconstruct the\nmodel. The amount of possible unfoldings increases while the solution space shrinks when\nGluetags are added. A minimum spanning tree approach is used to compute possible\nunfoldings, whereas simulated annealing is used to find an unfolding with no overlaps.\nQuantitative experiments suggest that the proposed method can yield fast results for\nsmaller meshes. Results for larger meshes are achievable within an increased timeframe,\nbut they also show time limitations for this approach.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1330, "image_height": 987, "name": "korpitsch_thorsten-2019-image.png", "type": "image/png", "size": 828356, "path": "Publication:korpitsch_thorsten-2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1697 ], "date_end": "2019-09-27", "date_start": "2019-03-22", "matrikelnr": "01529243", "supervisor": [ 1464 ], "research_areas": [ "Fabrication" ], "keywords": [ "mesh unfolding" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1330, "image_height": 987, "name": "korpitsch_thorsten-2019-image.png", "type": "image/png", "size": 828356, "path": "Publication:korpitsch_thorsten-2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "korpitsch_thorsten-2019-paper.pdf", "type": "application/pdf", "size": 2650367, "path": "Publication:korpitsch_thorsten-2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "korpitsch_thorsten-2019-slides.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 9566545, "path": "Publication:korpitsch_thorsten-2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-slides.pptx", "thumb_image_sizes": [] } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/", "__class": "Publication" }, { "id": "WIMMER-2019-CGSG", "type_id": "talk", "tu_id": 282835, "repositum_id": null, "title": "Computer Graphics for Serious Games", "date": "2019-09-04", "abstract": "10 years ago, the focus of computer graphics was mostly the quality and speed of image generation, and serious games set in realistic environments profited from these advances. Meanwhile, commercial rendering engines leave little to be desired, but computer graphics research has opened other doors which might be relevant for application in serious games. In this talk, I will present some of our latest advances in computer graphics in simulation, rendering and content generation. I will show how we can now simulate visual impairments in virtual reality, which could be used in games to create empathy for people affected by these impairments. I will describe how we have advanced point-based rendering techniques to allow incorporating real environments into rendering applications with basically no preprocessing. On the other hand, virtual environments for serious games could be created efficiently by collaborative crowed-sourced procedural modeling. Finally, efficient simulations of floods and heavy rainfall may not only help experts, but might be the basis of serious games to increase public awareness of natural disasters and the effects of climate change.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193 ], "date_from": "2019-09-04", "date_to": "2019-09-06", "event": "11th International Conference on Virtual Worlds and Games for Serious Applications", "location": "Vienna, Austria", "open_access": "no", "research_areas": [ "Rendering" ], "keywords": [ "serious games" ], "weblinks": [], "files": [], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/WIMMER-2019-CGSG/", "__class": "Publication" }, { "id": "wu-2019-vcbm", "type_id": "unknown", "tu_id": null, "repositum_id": null, "title": "Map of Metabolic Harmony", "date": "2019-09-03", "abstract": "As the human body is healthy when the\nmetabolic harmony is maintained, the human metabolic pathways are\ninterpretable when its visual representation is harmonized. We\ndeveloped an automatic approach to hierarchically decompose the screen\nspace to multiple functional regions and embed sub-pathways into their\ncorresponding regions to unveil complex metabolite relationships.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-vcbm-image.png", "type": "image/png", "size": 109418, "path": "Publication:wu-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 171 ], "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image-full", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 8878, "image_height": 6919, "name": "wu-2019-vcbm-image-full.png", "type": "image/png", "size": 15607607, "path": "Publication:wu-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image-full.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image-full:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-vcbm-image.png", "type": "image/png", "size": 109418, "path": "Publication:wu-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/", "__class": "Publication" }, { "id": "Sbardellati-2019-vcbm", "type_id": "inproceedings", "tu_id": 282838, "repositum_id": null, "title": "Interactive Exploded Views for Molecular Structures", "date": "2019-09-03", "abstract": "We propose an approach to interactively create exploded views of molecular structures with the goal to help domain experts in their design process and provide them with a meaningful visual representation of component relationships. Exploded views are excellently suited to manage visual occlusion of structure components, which is one of the main challenges when visualizing complex 3D data. In this paper, we discuss four key parameters of an exploded view: explosion distance, direction, order, and the selection of explosion components. We propose two strategies, namely the structure-derived exploded view and the interactive free-form exploded view, for computing these four parameters systematically. The first strategy allows scientists to automatically create exploded views by computing the parameters from the given object structures. The second strategy further supports them to design and customize detailed explosion paths through user interaction. Our approach features the possibility to animate exploded views, to incorporate ease functions into these animations and to display the explosion path of components via arrows. Finally, we demonstrate three use cases with various challenges that we investigated in collaboration with a domain scientist. Our approach, therefore, provides interesting new ways of investigating and presenting the design layout and composition of complex molecular structures.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "Sbardellati-2019-vcbm-image.png", "type": "image/png", "size": 46683, "path": "Publication:Sbardellati-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1555, 1263, 1464, 166, 1473, 171 ], "booktitle": "Proceedings of the 9th Eurographics Workshop on Visual Computing for Biology and Medicine", "cfp": { "name": "vcbm2019.pdf", "type": "application/pdf", "error": "0", "size": "270183", "orig_name": "vcbm2019.pdf", "ext": "pdf" }, "event": "VCBM 2019", "lecturer": [ 1555 ], "pages_from": "103", "pages_to": "112", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "Sbardellati-2019-vcbm-image.png", "type": "image/png", "size": 46683, "path": "Publication:Sbardellati-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Sbardellati-2019-vcbm-paper.pdf", "type": "application/pdf", "size": 9377764, "path": "Publication:Sbardellati-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Sbardellati-2019-vcbm-video.mp4", "type": "video/mp4", "size": 164367569, "path": "Publication:Sbardellati-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-video:video.mp4" } ], "projects_workgroups": [ "BioNetIllustration", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/", "__class": "Publication" }, { "id": "vitruvian_2019", "type_id": "journalpaper", "tu_id": 283956, "repositum_id": null, "title": "The Vitruvian Baby: Interactive Reformation of Fetal Ultrasound Data to a T-Position", "date": "2019-09", "abstract": "Three-dimensional (3D) ultrasound imaging and visualization is often used in medical diagnostics, especially in prenatal\nscreening. Screening the development of the fetus is important to assess possible complications early on. State of the art approaches involve taking standardized measurements to compare them with standardized tables. The measurements are taken\nin a 2D slice view, where precise measurements can be difficult to acquire due to the fetal pose. Performing the analysis in a\n3D view would enable the viewer to better discriminate between artefacts and representative information. Additionally making\ndata comparable between different investigations and patients is a goal in medical imaging techniques and is often achieved by\nstandardization. With this paper, we introduce a novel approach to provide a standardization method for 3D ultrasound fetus\nscreenings. Our approach is called “The Vitruvian Baby” and incorporates a complete pipeline for standardized measuring\nin fetal 3D ultrasound. The input of the method is a 3D ultrasound screening of a fetus and the output is the fetus in a standardized T-pose. In this pose, taking measurements is easier and comparison of different fetuses is possible. In addition to the\ntransformation of the 3D ultrasound data, we create an abstract representation of the fetus based on accurate measurements.\nWe demonstrate the accuracy of our approach on simulated data where the ground truth is known.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "vitruvian_2019-.pdf", "type": "application/pdf", "size": 1371768, "path": "Publication:vitruvian_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vitruvian_2019/vitruvian_2019-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/vitruvian_2019/vitruvian_2019-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1345, 1410, 171, 1694 ], "cfp": { "name": "For submitters - VCBM 2019.pdf", "type": "application/pdf", "error": "0", "size": "340448", "orig_name": "For submitters - VCBM 2019.pdf", "ext": "pdf" }, "date_from": "2019", "date_to": "2019", "doi": "10.2312/vcbm.20191245", "event": "Eurographics Workshop on Visual Computing for Biology and Medicine (2019)", "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine (2019)", "lecturer": [ 1345 ], "pages_from": "201", "pages_to": "205", "volume": "9", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "vitruvian_2019-.pdf", "type": "application/pdf", "size": 1371768, "path": "Publication:vitruvian_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vitruvian_2019/vitruvian_2019-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/vitruvian_2019/vitruvian_2019-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vitruvian_2019/", "__class": "Publication" }, { "id": "mindek-2019-mci", "type_id": "misc", "tu_id": 282839, "repositum_id": null, "title": "Microtubule Catastrophe", "date": "2019-09", "abstract": "This is a procedural model of microtubule dynamics. It is rendered in real-time in the Marion molecular visualization framework. The image shows the \"catastrophe\" event, i.e., a sudden switch between the growth and rapid shortening of a microtubule, a filament which is a part of cytoskeleton. In the background, molecules of proteins cell cytoplasm proteins are visible. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "Real-time rendered model of dynamic instability of a microtubule - part of a skeleton of a cell.", "filetitle": "Microtubule Catastrophe", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2560, "image_height": 1440, "name": "mindek-2019-mci-Microtubule Catastrophe.png", "type": "image/png", "size": 5531356, "path": "Publication:mindek-2019-mci", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mindek-2019-mci/mindek-2019-mci-Microtubule Catastrophe.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mindek-2019-mci/mindek-2019-mci-Microtubule Catastrophe:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935, 1285, 1260, 1695 ], "note": "VCBM 2019, Image Contest Jury's Award", "research_areas": [ "IllVis" ], "keywords": [ "molecular visualization", "microtubules", "biology" ], "weblinks": [ { "href": "https://conferences.eg.org/vcbm2019/awards", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "Real-time rendered model of dynamic instability of a microtubule - part of a skeleton of a cell.", "filetitle": "Microtubule Catastrophe", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2560, "image_height": 1440, "name": "mindek-2019-mci-Microtubule Catastrophe.png", "type": "image/png", "size": 5531356, "path": "Publication:mindek-2019-mci", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mindek-2019-mci/mindek-2019-mci-Microtubule Catastrophe.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mindek-2019-mci/mindek-2019-mci-Microtubule Catastrophe:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mindek-2019-mci/", "__class": "Publication" }, { "id": "raidou_2019_pelvisrunner", "type_id": "inproceedings", "tu_id": 283994, "repositum_id": null, "title": "Pelvis Runner: Visualizing Pelvic Organ Variability in a Cohort of Radiotherapy Patients", "date": "2019-09", "abstract": "In radiation therapy, anatomical changes in the patient might lead to deviations between the planned and delivered dose--including inadequate tumor coverage, and overradiation of healthy tissues. Exploring and analyzing anatomical changes throughout the entire treatment period can help clinical researchers to design appropriate treatment strategies, while identifying patients that are more prone to radiation-induced toxicity. We present the Pelvis Runner, a novel application for exploring the variability of segmented pelvic organs in multiple patients, across the entire radiation therapy treatment process. Our application addresses (i) the global exploration and analysis of pelvic organ shape variability in an abstracted tabular view and (ii) the local exploration and analysis thereof in anatomical 2D/3D views, where comparative and ensemble visualizations are integrated. The workflow is based on available retrospective cohort data, which incorporate segmentations of the bladder, the prostate, and the rectum through the entire radiation therapy process. The Pelvis Runner is applied to four usage scenarios, which were conducted with two clinical researchers, i.e., medical physicists. Our application provides clinical researchers with promising support in demonstrating the significance of treatment plan adaptation to anatomical changes.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1366, 1444, 1445, 1568, 1569, 166, 1410 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine (2019)", "cfp": { "name": "For submitters - VCBM 2019.pdf", "type": "application/pdf", "error": "0", "size": "340448", "orig_name": "For submitters - VCBM 2019.pdf", "ext": "pdf" }, "doi": "10.2312/vcbm.20191233", "event": "Eurographics Workshop on Visual Computing for Biology and Medicine (2019)", "lecturer": [ 1366 ], "pages_from": "69", "pages_to": "78", "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 9269, "preview_image_height": 4095, "name": "raidou_2019_pelvisrunner-paper.pdf", "type": "application/pdf", "size": 2868471, "path": "Publication:raidou_2019_pelvisrunner", "preview_name": "raidou_2019_pelvisrunner-paper:preview.jpg", "preview_type": "image/jpeg", "preview_size": 1955471, "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_pelvisrunner/raidou_2019_pelvisrunner-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_pelvisrunner/raidou_2019_pelvisrunner-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_2019_pelvisrunner-video.mp4", "type": "video/mp4", "size": 35722536, "path": "Publication:raidou_2019_pelvisrunner", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_pelvisrunner/raidou_2019_pelvisrunner-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_pelvisrunner/raidou_2019_pelvisrunner-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_pelvisrunner/raidou_2019_pelvisrunner-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_pelvisrunner/", "__class": "Publication" }, { "id": "raidou_2019_preha", "type_id": "inproceedings", "tu_id": 283963, "repositum_id": null, "title": "preha: Establishing Precision Rehabilitation with Visual Analytics", "date": "2019-09", "abstract": "This design study paper describes preha, a novel visual analytics application in the field of in-patient rehabilitation. We conducted extensive interviews with the intended users, i.e., engineers and clinical rehabilitation experts, to determine specific requirements of their analytical process.We identified nine tasks, for which suitable solutions have been designed and developed in the flexible environment of kibana. Our application is used to analyze existing rehabilitation data from a large cohort of 46,000 patients, and it is the first integrated solution of its kind. It incorporates functionalities for data preprocessing (profiling, wrangling and cleansing), storage, visualization, and predictive analysis on the basis of retrospective outcomes. A positive feedback from the first evaluation with domain experts indicates the usefulness of the newly proposed approach and represents a solid foundation for the introduction of visual analytics to the rehabilitation domain.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1654, 235, 166, 1410 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine (2019)", "cfp": { "name": "For submitters - VCBM 2019.pdf", "type": "application/pdf", "error": "0", "size": "340448", "orig_name": "For submitters - VCBM 2019.pdf", "ext": "pdf" }, "doi": "10.2312/vcbm.20191234", "event": "Eurographics Workshop on Visual Computing for Biology and Medicine (2019)", "lecturer": [ 1410 ], "pages_from": "79", "pages_to": "89", "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "raidou_2019_preha-paper.pdf", "type": "application/pdf", "size": 4173646, "path": "Publication:raidou_2019_preha", "preview_name": "raidou_2019_preha-paper:preview.png", "preview_type": "image/png", "preview_size": 821513, "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_preha/raidou_2019_preha-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_preha/raidou_2019_preha-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_2019_preha-slides.pdf", "type": "application/pdf", "size": 1577612, "path": "Publication:raidou_2019_preha", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_preha/raidou_2019_preha-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_preha/raidou_2019_preha-slides:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_2019_preha-video.mp4", "type": "video/mp4", "size": 19827660, "path": "Publication:raidou_2019_preha", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_preha/raidou_2019_preha-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_preha/raidou_2019_preha-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_preha/raidou_2019_preha-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_preha/", "__class": "Publication" }, { "id": "miao_thesis_2019", "type_id": "phdthesis", "tu_id": 282842, "repositum_id": null, "title": "Geometric Abstraction for Effective Visualization and Modeling", "date": "2019-08-19", "abstract": "In this cumulative thesis, I describe geometric abstraction as a strategy to create an integrated visualization system for spatial scientific data. The proposed approach creates a multitude of representations of spatial data in two dominant ways. Along the spatiality axis, it gradually removes spatial details and along the visual detail axis, the features are increasingly aggregated and represented by different visual objects. These representations are then integrated into a conceptual abstraction space that enables users to efficiently change the representation to adjust the abstraction level to a task in mind. To enable the expert to perceive correspondence between these representations, controllable animated transitions are provided. Finally, the abstraction space can record user interactions and provides visual indications to guide the expert towards interesting representations for a particular task and data set. Mental models of the experts play a crucial role in the understanding of the abstract representations and are considered in the design of the visualization system to keep the cognitive load low on the user’s side. This approach is demonstrated in two distinct fields of placenta research and in silico design of DNA nanostructures. For both fields geometric abstraction facilitates effective visual inspection and modeling. The Adenita toolkit, a software for the design of novel DNA nanostructures, implements the proposed visualization concepts. This toolkit, together with the proposed visualization concepts, is currently deployed to several research groups to help them in nanotechnology research.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263 ], "duration": "90", "matrikelnr": "00726810", "reviewer_1": [ 176 ], "reviewer_2": [ 1711 ], "rigorosum": "2019-08-19", "supervisor": [ 171 ], "research_areas": [ "BioVis", "MedVis", "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 5083, "preview_image_height": 2903, "name": "miao_thesis_2019-thesis.pdf", "type": "application/pdf", "size": 25599678, "path": "Publication:miao_thesis_2019", "preview_name": "miao_thesis_2019-thesis:preview.png", "preview_type": "image/png", "preview_size": 9915151, "url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_thesis_2019/miao_thesis_2019-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_thesis_2019/miao_thesis_2019-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_thesis_2019/", "__class": "Publication" }, { "id": "gruber_horst-2019-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Extensible Image Classification", "date": "2019-08-16", "abstract": "Struktur des Systems:\nInput: Bereits segmentierte Objekte\n1) Labeling: Input: Objekt(e), Output: Manuelle Zuordnung eines (neuen bzw. korrigierten) Labels pro Objekt\n2) Clustering: Input: Cluster mit Objekten, mit k (mindestens, oder genau zwei) verschiedenen Label, Unterteilung durch k-means Clustering, Output: k Cluster von 'ähnlichen' Objekten pro Label\n3) Training: Input: Objekte mit Label (ihres Clusters), Output: Network, das die Objekte in die derzeit gelabelten Cluster klassifiziert\nDann geht's iterativ mit Schritt 1 weiter - Objekte werden dem User angezeigt und bei Bedarf relabeled, wonach Schritt 2 folgt usw.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1008, "image_height": 502, "name": "gruber_horst-2019-baa-image.jpg", "type": "image/jpeg", "size": 189279, "path": "Publication:gruber_horst-2019-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/gruber_horst-2019-baa/gruber_horst-2019-baa-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/gruber_horst-2019-baa/gruber_horst-2019-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1645 ], "co_supervisor": [ 948 ], "date_end": "2019-08-16", "date_start": "2019-04-11", "matrikelnr": "8330864", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "deep learning", "ontology", "image classification" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1008, "image_height": 502, "name": "gruber_horst-2019-baa-image.jpg", "type": "image/jpeg", "size": 189279, "path": "Publication:gruber_horst-2019-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/gruber_horst-2019-baa/gruber_horst-2019-baa-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/gruber_horst-2019-baa/gruber_horst-2019-baa-image:thumb{{size}}.png" } ], "projects_workgroups": [ "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/gruber_horst-2019-baa/", "__class": "Publication" }, { "id": "Gruber2019", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Extended Image Classification", "date": "2019-08-16", "abstract": "In this thesis, we developed an image classification model with improving classification performance over a training phase. The model is using a pre-trained convolutional neuronal network (CNN) for feature extraction and a k-means algorithm for clustering. Performance optimization is realized by optimized weight factors for the extracted feature values. The optimization of the weight factors is calculated iteratively during a training\nphase. The measure of the weight factor adoption in a training step is related to the ground-truth dependent clustering contribution of the newly added image feature.\nWe see as an advantage of our approach that the optimization requires no internal changes of the applied feature extraction and clustering algorithms, hence pre-trained models or closed-source implementations can be used. As a further advantage, we see the step-wise\ntransparency of the performance development during the training phase for each newly\nadded image as opposed to batch-based training for CNNs. This enables dynamic control of the training phase by the user. Another advantage is the small number of parameters to be optimized, which results in reduced processing time. A further advantage is the classification performance of our model that outperforms the reference model without feature weight optimization.\nIn the course of our work, we developed a Python application that implements our model and provides a user-friendly interface. It allows easy set-up of test cases and provides graphics and tables for a comprehensive evaluation on process steps level. We consider this application as a starting point for future work.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 280, "image_height": 107, "name": "Gruber2019-image.JPG", "type": "image/jpeg", "size": 18204, "path": "Publication:Gruber2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Gruber2019/Gruber2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Gruber2019/Gruber2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1645 ], "date_end": "2019-08-16", "date_start": "2019-01-20", "matrikelnr": "08330864", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Gruber2019-Bachelor Thesis.pdf", "type": "application/pdf", "size": 10171020, "path": "Publication:Gruber2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Gruber2019/Gruber2019-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Gruber2019/Gruber2019-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 280, "image_height": 107, "name": "Gruber2019-image.JPG", "type": "image/jpeg", "size": 18204, "path": "Publication:Gruber2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Gruber2019/Gruber2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Gruber2019/Gruber2019-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Gruber2019/", "__class": "Publication" }, { "id": "Hainoun2019", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visualization of Data Flags in Table Lens Views to Improve the Readability of Metadata and the Tracking of Data Cleaning", "date": "2019-08-15", "abstract": "Recent evaluation indicates that wrong decisions resulting from systems operating based on bad data costed worldwide about $30 billion in the year 2006. This work addresses the importance of Data Quality (DQ) as a critical requirement in any information system. In this regard, DQ criteria and problems such as missing entries, duplicates, and faulty values are identified. Different approaches and techniques used for data cleaning to fix\nDQ issues are reviewed. In this work a new technique is integrated into VISPLORE, a\nframework for data analysis and visualization, that allows the framework to visualize multiple types of per-value meta-information. We will show how our work enhances the readability of the table lens view, one of the many viewing modes provided in VISPLORE, and helps the user understand the status of data entries to decide on what entries need to be cleaned and how. This work also expands on the interactive data cleaning tools provided by VISPLORE, by allowing the user to manually delete implausible values or replace them with more plausible ones, while keeping track of this cleaning process. With\nthe integrated new features to the table lens view, VISPLORE is now able to present\nmore detailed data with enhanced visualization features and interactive data cleaning.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 446, "image_height": 305, "name": "Hainoun2019-image.JPG", "type": "image/jpeg", "size": 38319, "path": "Publication:Hainoun2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Hainoun2019/Hainoun2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Hainoun2019/Hainoun2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1691 ], "date_end": "2019-08-15", "date_start": "2019-01-15", "matrikelnr": "01325827", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Hainoun2019-Bachelor Thesis.pdf", "type": "application/pdf", "size": 2113204, "path": "Publication:Hainoun2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Hainoun2019/Hainoun2019-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Hainoun2019/Hainoun2019-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 446, "image_height": 305, "name": "Hainoun2019-image.JPG", "type": "image/jpeg", "size": 38319, "path": "Publication:Hainoun2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Hainoun2019/Hainoun2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Hainoun2019/Hainoun2019-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Hainoun2019/", "__class": "Publication" }, { "id": "Bayat_2019", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "The Visualization of the Evolution of Cultural Models", "date": "2019-08-13", "abstract": "Culture is a fascinating phenomenon influencing various aspects of our lives. Cultural models seek to describe the complex structure of ethical and societal values. Two main cultural models have been defined so far: the Hofstede model [Hof11] and the GLOBE project [GLO04]. Both models define similar attributes to describe characteristics of a society, summarized in so-called cultural dimensions.\nTo better understand the complexity of cultural models and the information given\nthere are tools that visualize the complex data provided. Current tools for the visualization of cultural models make use of barcharts, boxplots and scatterplots, while only covering a small part of the data and information given. The existing tools do not cover the information completely and miss vital aspects. We want to fill these gaps and seek to find a way to easily compare selected data with each other. Moreover, we want to design a visualization that can identify cultures and cultural regions. We try to create a tool to visualize cultural models. The tool displays the given data in an easy way, by using new approaches and improving existing ones. First, we analyze the data given, to crystallize the core information and main feature of our visualization.\nNext, the goal is to define the advantages and disadvantages of the current and latest\nvisualization approaches. By combining the strengths and improving the weaknesses of\nthese existing tools we try to specify the difficulties and goals we want to achieve with the new approach. Lastly, we look at ongoing cultural applications by using the developed visualization tool and look for similarities where we do not expect them.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 464, "image_height": 311, "name": "Bayat_2019-image.JPG", "type": "image/jpeg", "size": 21066, "path": "Publication:Bayat_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/Bayat_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/Bayat_2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1693 ], "date_end": "2019-08-13", "date_start": "2019-04-10", "matrikelnr": "01614855", "supervisor": [ 1410 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Bayat_2019-Bachelor Thesis.pdf", "type": "application/pdf", "size": 3536287, "path": "Publication:Bayat_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/Bayat_2019-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/Bayat_2019-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 464, "image_height": 311, "name": "Bayat_2019-image.JPG", "type": "image/jpeg", "size": 21066, "path": "Publication:Bayat_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/Bayat_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/Bayat_2019-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/", "__class": "Publication" }, { "id": "Grossmann_MA", "type_id": "masterthesis", "tu_id": 282844, "repositum_id": null, "title": "Pelvis Runner - Comparative Visualization of Anatomical Changes", "date": "2019-08-05", "abstract": "Pelvic organs such as the bladder, rectum or prostate have highly variable shapes that change over time, due to their soft and flexible tissue and varying filling. Recent clinical work suggests that these variations might affect the effectiveness of radiation therapy treatment in patients with prostate cancer. Although in clinical practice small correction steps are performed to re-align the treated region if the organs are shifted, a more in-depth\nunderstanding and modeling might prove beneficial for the adaptation of the employed treatment planning strategy. To evaluate the viability and to account for the variability in the population of certain treatment strategies, cohort studies are performed analyzing\nthe shape and position variability of pelvic organs. In this thesis, we propose a web-based tool that is able to analyze a cohort of pelvic organs from 24 patients across 13 treatment instances. Hereby we have two goals: On the one hand, we want to support medical researchers analyzing large groups of patients for their shape variability and the possible correlations to side effects. On the other hand, we want to provide support for medical experts performing individual patient treatment planning. Our tool offers both the option to analyze a large cohort of different organ shapes, by first modeling them in a shape space and then analyzing the shape variations on a per-patient basis. While this first part aims at providing users with an overview of the data, we also give them the option to perform a detailed shape analysis, where we highlight the statistically aggregated shape of a patient or a specified group using a contour variability plot. Finally, we demonstrate several possible usage scenarios for our\ntool and perform an informal evaluation with two medical experts. Our tool is the first significant step in supporting medical experts in demonstrating the need for adaptation in radiation therapy treatments to account for shape variability.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 353, "image_height": 326, "name": "Grossmann_MA-image.JPG", "type": "image/jpeg", "size": 24279, "path": "Publication:Grossmann_MA", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Grossmann_MA/Grossmann_MA-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Grossmann_MA/Grossmann_MA-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1366 ], "date_end": "2019-08-05", "date_start": "2018-05-05", "matrikelnr": "01325103", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 353, "image_height": 326, "name": "Grossmann_MA-image.JPG", "type": "image/jpeg", "size": 24279, "path": "Publication:Grossmann_MA", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Grossmann_MA/Grossmann_MA-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Grossmann_MA/Grossmann_MA-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Grossmann_MA-Master thesis.pdf", "type": "application/pdf", "size": 15124205, "path": "Publication:Grossmann_MA", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Grossmann_MA/Grossmann_MA-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Grossmann_MA/Grossmann_MA-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Grossmann_MA-Poster.pdf", "type": "application/pdf", "size": 1971657, "path": "Publication:Grossmann_MA", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Grossmann_MA/Grossmann_MA-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Grossmann_MA/Grossmann_MA-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Grossmann_MA/", "__class": "Publication" }, { "id": "2019-ic", "type_id": "techreport", "tu_id": 282845, "repositum_id": null, "title": "Collecting and Structuring Information in the Information Collage", "date": "2019-08", "abstract": "Knowledge workers, such as scientists, journalists, or consultants, adaptively seek, gather, and consume information. These processes are often inefficient as existing user interfaces provide limited possibilities to combine information from various sources and different formats into a common knowledge representation. In this paper, we present the concept of an information collage (IC) -- a web browser extension combining manual spatial organization of gathered information fragments and automatic text analysis for interactive content exploration and expressive visual summaries. We used IC for case studies with knowledge workers from different domains and longer-term field studies over a period of one month. We identified three different ways how users collect and structure information and provide design recommendations how to support these observed usage strategies. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1243, "image_height": 832, "name": "2019-ic-teaser.png", "type": "image/png", "size": 279699, "path": "Publication:2019-ic", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1211, 1690, 1110 ], "number": "TR-193-02-2019-2", "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://arxiv.org/abs/1909.00608", "caption": "arXiv report", "description": "Technical Report at arXiv", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1243, "image_height": 832, "name": "2019-ic-teaser.png", "type": "image/png", "size": 279699, "path": "Publication:2019-ic", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "2019-ic-video.mp4", "type": "video/mp4", "size": 13549543, "path": "Publication:2019-ic", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-video:video.mp4" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/", "__class": "Publication" }, { "id": "klein_2019_PMP", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/57947", "title": "Multi-Scale Procedural Animations of Microtubule Dynamics Based on Measured Data", "date": "2019-08", "abstract": "Biologists often use computer graphics to visualize structures, which due to physical limitations are not possible to imagewith a microscope. One example for such structures are microtubules, which are present in every eukaryotic cell. They are part ofthe cytoskeleton maintaining the shape of the cell and playing a key role in the cell division. In this paper, we propose a scientifically-accurate multi-scale procedural model of microtubule dynamics as a novel application scenario for procedural animation, which cangenerate visualizations of their overall shape, molecular structure, as well as animations of the dynamic behaviour of their growth anddisassembly. The model is spanning from tens of micrometers down to atomic resolution. All the aspects of the model are driven byscientific data. The advantage over a traditional, manual animation approach is that when the underlying data change, for instance dueto new evidence, the model can be recreated immediately. The procedural animation concept is presented in its generic form, withseveral novel extensions, facilitating an easy translation to other domains with emergent multi-scale behavior.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1706, "image_height": 770, "name": "klein_2019_PMP-image.jpg", "type": "image/jpeg", "size": 953504, "path": "Publication:klein_2019_PMP", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1285, 171, 166, 935 ], "cfp": { "name": "Call For Participation.pdf", "type": "application/pdf", "error": "0", "size": "356286", "orig_name": "Call For Participation.pdf", "ext": "pdf" }, "date_from": "2019", "date_to": "2019", "doi": "10.1109/TVCG.2019.2934612", "event": "IEEE VIS 2019", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1285 ], "number": "1", "pages_from": "622", "pages_to": "632", "volume": "26", "research_areas": [ "BioVis", "IllVis", "Modeling", "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1706, "image_height": 770, "name": "klein_2019_PMP-image.jpg", "type": "image/jpeg", "size": 953504, "path": "Publication:klein_2019_PMP", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "klein_2019_PMP-paper.pdf", "type": "application/pdf", "size": 3283919, "path": "Publication:klein_2019_PMP", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "suppl", "main_file": false, "use_in_gallery": false, "access": "public", "name": "klein_2019_PMP-suppl.pdf", "type": "application/pdf", "size": 229898, "path": "Publication:klein_2019_PMP", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-suppl.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-suppl:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/", "__class": "Publication" }, { "id": "koch-2019-PR", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Simulation of Diabetic Macular Edema in Virtual Reality", "date": "2019-08", "abstract": "Simulation of diabetic macular edema (DME) is implemented in a virtual reality simulation using Unreal Engine 4. Common symptoms of DME are blurry vision, loss of contrast, floaters and distorted vision. We use different computer graphics techniques to create effects which resemble such symptoms.\nAn eye tracker from Pupil Labs is used in order to make effects gaze dependent.\nThe implementation of these effects is discussed and adjustable parameters\nof the effects are explained.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1920, "image_height": 1026, "name": "koch-2019-PR-image.jpg", "type": "image/jpeg", "size": 206235, "path": "Publication:koch-2019-PR", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/koch-2019-PR/koch-2019-PR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/koch-2019-PR/koch-2019-PR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1604 ], "date_end": "2019-08", "date_start": "2019-04", "matrikelnr": "01526232 ", "note": "1", "supervisor": [ 1030 ], "research_areas": [ "Perception", "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1920, "image_height": 1026, "name": "koch-2019-PR-image.jpg", "type": "image/jpeg", "size": 206235, "path": "Publication:koch-2019-PR", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/koch-2019-PR/koch-2019-PR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/koch-2019-PR/koch-2019-PR-image:thumb{{size}}.png" }, { "description": null, "filetitle": "report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "koch-2019-PR-report.pdf", "type": "application/pdf", "size": 3704736, "path": "Publication:koch-2019-PR", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/koch-2019-PR/koch-2019-PR-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/koch-2019-PR/koch-2019-PR-report:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/koch-2019-PR/", "__class": "Publication" }, { "id": "sietzen-2019-wnn", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Web-Interface for neural network feature visualization", "date": "2019-08", "abstract": "Excellent explanations of feature visualization already exist in the form of interactive articles, e.g. DeepDream, Feature Visualization, The Building Blocks of Interpretability, Activation Atlas, Visualizing GoogLeNet Classes. They mostly rely on curated prerendered visualizations, additionally providing colab notebooks or public repositories allowing the reader to reproduce those results. While precalculated visualizations have many advantages (directability, more processing budget), they are always discretized samples of a continuous parameter space. In the spirit of Tensorflow Playground, this project aims at providing a fully interactive interface to some basic functionality of the originally Python-based Lucid library, roughly corresponding to the concepts presented in the “Feature Visualization\" article. The user is invited to explore the effect of parameter changes in a playful way and without requiring any knowledge of programming, enabled by an implementation on top of TensorFlow.js. Live updates of the generated input image as well as feature map activations should give the user a visual intuition to the otherwise abstract optimization process. Further, this interface opens the domain of feature visualization to non-experts, as no scripting is required.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 759, "image_height": 614, "name": "sietzen-2019-wnn-screenshot.png", "type": "image/png", "size": 293509, "path": "Publication:sietzen-2019-wnn", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1373 ], "date_end": "2019-08", "date_start": "2019-04", "matrikelnr": "0372194", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "http://visxai.stefansietzen.at/", "caption": "VISxAI URL", "description": "Explainable URL, accepted for the IEEE VIS 2019 Workshop on Visualization for AI Explainability. ", "main_file": 1 }, { "href": "https://visxai.io/", "caption": "VISxAI workshop", "description": "2nd workshop on Visualization for AI Explainability in Vancover, Canada, October 21, 2019. ", "main_file": 0 }, { "href": "https://github.com/stefsietz/LucidPlayground", "caption": "LucidPlayground GitHub", "description": "Source code", "main_file": 0 } ], "files": [ { "description": "JSDoc, zipped", "filetitle": "documentation LucidPlayground", "main_file": false, "use_in_gallery": false, "access": "public", "name": "sietzen-2019-wnn-documentation LucidPlayground.zip", "type": "application/x-zip-compressed", "size": 556043, "path": "Publication:sietzen-2019-wnn", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-documentation LucidPlayground.zip", "thumb_image_sizes": [] }, { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 759, "image_height": 614, "name": "sietzen-2019-wnn-screenshot.png", "type": "image/png", "size": 293509, "path": "Publication:sietzen-2019-wnn", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-screenshot:thumb{{size}}.png" }, { "description": "Submission video for VISxAI workshop. ", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "sietzen-2019-wnn-video.mp4", "type": "video/mp4", "size": 51123687, "path": "Publication:sietzen-2019-wnn", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-video:video.mp4" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/", "__class": "Publication" }, { "id": "horvath-2018-ism", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Image-Space Metaballs Using Deep Learning", "date": "2019-07-24", "abstract": "Metaballs are a type of implicit surface that are used to model organic-looking shapes and fluids. Accurate rendering of three-dimensional metaballs is typically done using ray-casting, which is computationally expensive and not suitable for real-time applications, therefore di˙erent approximate methods for rendering metaballs have been developed.\nIn this thesis, the foundations of metaballs and neural networks are discussed, and a new approach to rendering metaballs using Deep Learning that is fast enough for use in real-time applications is presented. The system uses an image-to-image translation approach. For that, first the metaballs are rendered using a very simplified representation to an image. This image is then used as input to a neural network that outputs a depth, normal and base color bu˙er that can be combined using a deferred shading renderer to produce a final image.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 355, "image_height": 237, "name": "horvath-2018-ism-image.JPG", "type": "image/jpeg", "size": 28384, "path": "Publication:horvath-2018-ism", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/horvath-2018-ism-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/horvath-2018-ism-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1561 ], "date_end": "2019-07-24", "date_start": "2018", "matrikelnr": "01025519", "supervisor": [ 171 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 355, "image_height": 237, "name": "horvath-2018-ism-image.JPG", "type": "image/jpeg", "size": 28384, "path": "Publication:horvath-2018-ism", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/horvath-2018-ism-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/horvath-2018-ism-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "horvath-2018-ism-Master Thesis.pdf", "type": "application/pdf", "size": 19182819, "path": "Publication:horvath-2018-ism", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/horvath-2018-ism-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/horvath-2018-ism-Master Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/", "__class": "Publication" }, { "id": "raidou_2019_springer", "type_id": "inbook", "tu_id": 283965, "repositum_id": null, "title": "Visual Analytics for the Representation, Exploration and Analysis of High-Dimensional, Multi-Faceted Medical Data", "date": "2019-07-17", "abstract": "Medicine is among research fields with a significant impact on\nhumans and their health. Already for decades, medicine has established\na tight coupling with the visualization domain, proving the importance\nof developing visualization techniques, designed exclusively for this\nresearch discipline. However, medical data is steadily increasing in\ncomplexity with the appearance of heterogeneous, multi-modal, multiparametric,\ncohort or population, as well as uncertain data. To deal with\nthis kind of complex data, the field of Visual Analytics has emerged.\nIn this chapter, we discuss the many dimensions and facets of medical\ndata. Based on this classification, we provide a general overview of\nstate-of-the-art visualization systems and solutions dealing with highdimensional,\nmulti-faceted data. Our particular focus will be on multimodal,\nmulti-parametric data, on data from cohort or population studies\nand on uncertain data, especially with respect to Visual Analytics\napplications for the representation, exploration, and analysis of highdimensional,\nmulti-faceted medical data.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410 ], "booktitle": "Biomedical Visualisation", "chapter": "10", "doi": "https://doi.org/10.1007/978-3-030-14227-8_10", "editor": "Springer", "note": "https://www.springer.com/gp/book/9783030142261", "pages_from": "137", "pages_to": "162", "publisher": "Springer", "volume": "2", "research_areas": [ "BioVis", "InfoVis", "MedVis" ], "keywords": [], "weblinks": [ { "href": "https://www.springer.com/gp/book/9783030142261", "caption": "link", "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_springer/", "__class": "Publication" }, { "id": "schefcik_juergen_2015_baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Evaluation of Coherent Hierarchical Culling Revisited with Varied Parameters", "date": "2019-07-12", "abstract": "When rendering huge point clouds (Euclideon, potree), the impression of a surface can be generated by blending splats with their neighbors. However, without having the surface connectivity, many occluded points are unnecessarily loaded from the octree on disk, generating high latency accesses. By inferring that connectivity from arbitrary levels in an augmented octree, we can avoid loading occluded nodes and unnecessary detail, thus limiting loaded data size to screen resolution.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 267, "image_height": 200, "name": "schefcik_juergen_2015_baa-image.png", "type": "image/png", "size": 56821, "path": "Publication:schefcik_juergen_2015_baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schefcik_juergen_2015_baa/schefcik_juergen_2015_baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schefcik_juergen_2015_baa/schefcik_juergen_2015_baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1279 ], "date_end": "2019-07-12", "date_start": "2015", "duration": "6 months", "matrikelnr": "1025543", "supervisor": [ 948 ], "research_areas": [], "keywords": [ "occlusion", "point cloud", "loading strategy" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "name": "schefcik_juergen_2015_baa-.pdf", "type": "application/pdf", "size": 7557502, "path": "Publication:schefcik_juergen_2015_baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schefcik_juergen_2015_baa/schefcik_juergen_2015_baa-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schefcik_juergen_2015_baa/schefcik_juergen_2015_baa-:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 267, "image_height": 200, "name": "schefcik_juergen_2015_baa-image.png", "type": "image/png", "size": 56821, "path": "Publication:schefcik_juergen_2015_baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schefcik_juergen_2015_baa/schefcik_juergen_2015_baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schefcik_juergen_2015_baa/schefcik_juergen_2015_baa-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schefcik_juergen_2015_baa/", "__class": "Publication" }, { "id": "mizuno-2019-eurovis", "type_id": "journalpaper", "tu_id": 282848, "repositum_id": null, "title": "Optimizing Stepwise Animation in Dynamic Set Diagrams", "date": "2019-07-10", "abstract": "A set diagram represents the membership relation among data elements. It is often visualized as secondary information on top of primary information, such as the spatial positions of elements on maps and charts. Visualizing the temporal evolution of such set diagrams as well as their primary features is quite important; however, conventional approaches have only focused on the temporal behavior of the primary features and do not provide an effective means to highlight notable transitions within the set relationships. This paper presents an approach for generating a stepwise animation between set diagrams by decomposing the entire transition into atomic changes associated with individual data elements. The key idea behind our approach is to optimize the ordering of the atomic changes such that the synthesized animation minimizes unwanted set occlusions by considering their depth ordering and reduces the gaze shift between two consecutive stepwise changes. Experimental results and a user study demonstrate that the proposed approach effectively facilitates the visual identification of the detailed transitions inherent in dynamic set diagrams.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "mizuno-2019-eurovis-image.png", "type": "image/png", "size": 100164, "path": "Publication:mizuno-2019-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1674, 1464, 1580, 1040 ], "cfp": { "name": "eurovis2019.pdf", "type": "application/pdf", "error": "0", "size": "37147", "orig_name": "eurovis2019.pdf", "ext": "pdf" }, "date_from": "2019", "date_to": "2019", "doi": "https://doi.org/10.1111/cgf.13668", "event": "EuroVis 2019", "journal": "Computer Graphics Forum", "lecturer": [ 1674 ], "note": "Best Paper Honorable Mention at EuroVis 2019", "pages_from": "13", "pages_to": "24", "volume": "38", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://youtu.be/dMphkr6nAHQ", "caption": "video", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "mizuno-2019-eurovis-image.png", "type": "image/png", "size": 100164, "path": "Publication:mizuno-2019-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mizuno-2019-eurovis-paper.pdf", "type": "application/pdf", "size": 20180512, "path": "Publication:mizuno-2019-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/", "__class": "Publication" }, { "id": "pogrzebacz-2014-gggm", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "A Graph Grammar for Modelling of 2D Shapes", "date": "2019-07", "abstract": "The creation of models for computer graphics is a very work intensive task, which places\nsevere limits on the size of projects. Procedural modelling is an ongoing field of research\nwhich aims to alleviate this pressure by automatically generating multiple differing variations of models at multiple levels of detail. Within the realm of procedural model\ngeneration, there are a number of techniques specializing in either modelling plants e.g.\nL-Systems or in modelling buildings e.g. shape grammars or other such specialization.\nThe following paper aims to show a possibility of improving this situation, by describing\nthe conception and implementation of a graph grammar and support software, suitable\nfor procedural modelling of both artificial (e.g. buildings and furniture) and organic (e.g.\ntrees and flowers) objects in 2D space. A graph grammar with such aims was previously\nintroduced by Christiansen and Bærentzen [CB13], but with a different definition and\ndifferent characteristics. This work aims specifically to make using the introduced graph\ngrammar simple and improve intuitiveness. The proposed graph grammars versatility\nis displayed through example production definitions creating a Koch snowflake, circular\nand square patterns, a building façade schematic and a tree.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1222 ], "date_end": "2019-07-09", "date_start": "2014-11-12", "duration": "6 months", "matrikelnr": "1028937", "supervisor": [ 1303 ], "research_areas": [ "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "pogrzebacz-2014-gggm-thesis.pdf", "type": "application/pdf", "size": 3956692, "path": "Publication:pogrzebacz-2014-gggm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/pogrzebacz-2014-gggm/pogrzebacz-2014-gggm-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/pogrzebacz-2014-gggm/pogrzebacz-2014-gggm-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "PAMINA" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/pogrzebacz-2014-gggm/", "__class": "Publication" }, { "id": "Preiner_2019", "type_id": "journalpaper", "tu_id": 282850, "repositum_id": null, "title": "Gaussian-Product Subdivision Surfaces", "date": "2019-07", "abstract": "Probabilistic distribution models like Gaussian mixtures have shown great\npotential for improving both the quality and speed of several geometric operators. This is largely due to their ability to model large fuzzy data using only a reduced set of atomic distributions, allowing for large compression rates at minimal information loss. We introduce a new surface model that utilizes these qualities of Gaussian mixtures for the definition and control of a parametric smooth surface. Our approach is based on an enriched mesh data structure, which describes the probability distribution of spatial surface locations around each vertex via a Gaussian covariance matrix. By incorporating this additional covariance information, we show how to define a smooth surface via a nonlinear probabilistic subdivision operator based on products of Gaussians, which is able to capture rich details at fixed control mesh resolution. This entails new applications in surface reconstruction,\nmodeling, and geometric compression.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 802, "image_height": 537, "name": "Preiner_2019-image.jpg", "type": "image/jpeg", "size": 184075, "path": "Publication:Preiner_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Preiner_2019/Preiner_2019-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Preiner_2019/Preiner_2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 799, 1518, 193 ], "date_from": "2019-07-28", "date_to": "2019-08-01", "doi": "10.1145/3306346.3323026", "event": "ACM SIGGRAPH 2019", "issn": "0730-0301", "journal": "ACM Transactions on Graphics", "lecturer": [ 799 ], "location": "Los Angeles, USA", "number": "4", "open_access": "yes", "pages_from": "35:1", "pages_to": "35:11", "volume": "38", "research_areas": [ "Geometry" ], "keywords": [ "Gaussian mixtures", "surface reconstruction", "subdivision surfaces" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 802, "image_height": 537, "name": "Preiner_2019-image.jpg", "type": "image/jpeg", "size": 184075, "path": "Publication:Preiner_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Preiner_2019/Preiner_2019-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Preiner_2019/Preiner_2019-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Preiner_2019-Paper.pdf", "type": "application/pdf", "size": 22292400, "path": "Publication:Preiner_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Preiner_2019/Preiner_2019-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Preiner_2019/Preiner_2019-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Preiner_2019/", "__class": "Publication" }, { "id": "celarek_adam-2019-qelta", "type_id": "journalpaper", "tu_id": 282852, "repositum_id": null, "title": "Quantifying the Error of Light Transport Algorithms", "date": "2019-07", "abstract": "This paper proposes a new methodology for measuring the error of unbiased physically based rendering algorithms. The current state of the art includes mean squared error (MSE) based metrics and visual comparisons of equal-time renderings of competing algorithms. Neither is satisfying as MSE does not describe behavior and can exhibit significant variance, and visual comparisons are inherently subjective. Our contribution is two-fold: First, we propose to compute many short renderings instead of a single long run and use the short renderings to estimate MSE expectation and variance as well as per-pixel standard deviation. An algorithm that achieves good results in most runs, but with occasional outliers is essentially unreliable, which we wish to quantify numerically. We use per-pixel standard deviation to identify problematic lighting effects of rendering algorithms. The second contribution is the error spectrum ensemble (ESE), a tool for measuring the distribution of error over frequencies. The ESE serves two purposes: It reveals correlation between pixels and can be used to detect outliers, which offset the amount of error substantially.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Error spectrum ensemble", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 594, "image_height": 372, "name": "celarek_adam-2019-qelta-image.png", "type": "image/png", "size": 39262, "path": "Publication:celarek_adam-2019-qelta", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1013, 1667, 193, 1666 ], "cfp": { "name": "EGSR-2019_Call-for-Papers.pdf", "type": "application/pdf", "error": "0", "size": "174109", "orig_name": "EGSR-2019_Call-for-Papers.pdf", "ext": "pdf" }, "date_from": "2019-07-10", "date_to": "2019-07-12", "doi": "10.1111/cgf.13775", "event": "Eurographics Symposium on Rendering 2019", "journal": "Computer Graphics Forum", "lecturer": [ 1013 ], "number": "4", "open_access": "yes", "pages_from": "111", "pages_to": "121", "publisher": "The Eurographics Association and John Wiley & Sons Ltd.", "volume": "38", "research_areas": [ "Rendering" ], "keywords": [ "measuring error", "light transport", "global illumination" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/Quantifying-the-Error-of-Light-Transport-Algorithms", "caption": "Git repository", "description": "Git repository with the implementation of the error spectrum ensemble and short rendering generator.", "main_file": 1 } ], "files": [ { "description": "Error spectrum ensemble", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 594, "image_height": 372, "name": "celarek_adam-2019-qelta-image.png", "type": "image/png", "size": 39262, "path": "Publication:celarek_adam-2019-qelta", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-image:thumb{{size}}.png" }, { "description": "Paper", "filetitle": "paper_preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "celarek_adam-2019-qelta-paper_preprint.pdf", "type": "application/pdf", "size": 2849560, "path": "Publication:celarek_adam-2019-qelta", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-paper_preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-paper_preprint:thumb{{size}}.png" }, { "description": "Slides from the presentation at EGSR", "filetitle": "presentation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "celarek_adam-2019-qelta-presentation.pdf", "type": "application/pdf", "size": 3561061, "path": "Publication:celarek_adam-2019-qelta", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-presentation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-presentation:thumb{{size}}.png" }, { "description": "Additional examples, experiments and similar.", "filetitle": "supplemental_material", "main_file": false, "use_in_gallery": false, "access": "public", "name": "celarek_adam-2019-qelta-supplemental_material.pdf", "type": "application/pdf", "size": 81913248, "path": "Publication:celarek_adam-2019-qelta", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-supplemental_material.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-supplemental_material:thumb{{size}}.png" }, { "description": "Teaser", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1826, "image_height": 484, "name": "celarek_adam-2019-qelta-teaser.png", "type": "image/png", "size": 407655, "path": "Publication:celarek_adam-2019-qelta", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "EVOCATION", "OpenData" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/", "__class": "Publication" }, { "id": "maruyama-2019-iv", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Scale-Aware Cartographic Displacement Based on Constrained Optimization", "date": "2019-07", "abstract": "Abstract—The consistent arrangement of map features in accordance with the map scale has recently been technically important in digital cartographic generalization. This is primarily due to the recent demand for informative mapping systems, especially for use in smartphones and tablets. However, such sophisticated generalization has usually been conducted manually by expert cartographers and thus results in a time-consuming and error-prone process. In this paper, we focus on the displacement process within cartographic generalization and formulate them as a constrained optimization problem to provide an associated algorithm implementation and its effective solution. We first identify the underlying spatial relationships among map features, such as points and lines, on each map scale as constraints and optimize the cost function that penalizes excessive displacement of the map features in terms of the map scale. Several examples are also provided to demonstrate that the proposed approach allows us to maintain consistent mapping regardless of changes to the map scale.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "maruyama-2019-iv-image.png", "type": "image/png", "size": 58725, "path": "Publication:maruyama-2019-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/maruyama-2019-iv/maruyama-2019-iv-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/maruyama-2019-iv/maruyama-2019-iv-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1625, 1580, 1464, 1676, 1627 ], "booktitle": "Proceedings of the 23th International Conference on Information Visualisation (iV2019)", "cfp": { "name": "iv2019.pdf", "type": "application/pdf", "error": "0", "size": "91598", "orig_name": "iv2019.pdf", "ext": "pdf" }, "doi": "https://dx.doi.org/10.1109/IV.2019.00022", "event": " The 23th International Conference on Information Visualisation ", "lecturer": [ 1580 ], "pages_from": "74", "pages_to": "80", "research_areas": [ "InfoVis" ], "keywords": [ "Cartographic generalization", "displacement", "constrained optimization", "scale-aware mapping" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "maruyama-2019-iv-image.png", "type": "image/png", "size": 58725, "path": "Publication:maruyama-2019-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/maruyama-2019-iv/maruyama-2019-iv-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/maruyama-2019-iv/maruyama-2019-iv-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/maruyama-2019-iv/", "__class": "Publication" }, { "id": "kroesl-2019-ThesisFF", "type_id": "otherreviewed", "tu_id": 282889, "repositum_id": null, "title": "Simulating Vision Impairments in VR and AR", "date": "2019-06-30", "abstract": "1.3 billion people worldwide are affected by vision impairments,\naccording to the World Health Organization. However, vision impairments\nare hardly ever taken into account when we design our\ncities, buildings, emergency signposting, or lighting systems. With\nthis research, we want to develop realistic, medically based simulations\nof eye diseases in VR and AR, which allow calibrating vision\nimpairments to the same level for different users. This allows us\nto conduct user studies with participants with normal sight and\ngraphically simulated vision impairments, to determine the effects\nof these impairments on perception, and to investigate lighting\nconcepts under impaired vision conditions. This thesis will, for the\nfirst time, provide methods for architects and designers to evaluate\ntheir designs for accessibility and to develop lighting systems that\ncan enhance the perception of people with vision impairments.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 720, "image_height": 412, "name": "kroesl-2019-ThesisFF-image.jpg", "type": "image/jpeg", "size": 188500, "path": "Publication:kroesl-2019-ThesisFF", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ThesisFF/kroesl-2019-ThesisFF-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ThesisFF/kroesl-2019-ThesisFF-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030 ], "booktitle": "ACM SIGGRAPH THESIS FAST FORWARD 2019", "research_areas": [ "Perception", "Rendering" ], "keywords": [ "vision impairments", "cataracts", "virtual reality", "augmented reality", "user study" ], "weblinks": [ { "href": "https://s2019.siggraph.org/conference/programs-events/organization-events/thesis-papers-fast-forward/", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "extended abstract", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2019-ThesisFF-extended abstract.pdf", "type": "application/pdf", "size": 260300, "path": "Publication:kroesl-2019-ThesisFF", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ThesisFF/kroesl-2019-ThesisFF-extended abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ThesisFF/kroesl-2019-ThesisFF-extended abstract:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 720, "image_height": 412, "name": "kroesl-2019-ThesisFF-image.jpg", "type": "image/jpeg", "size": 188500, "path": "Publication:kroesl-2019-ThesisFF", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ThesisFF/kroesl-2019-ThesisFF-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ThesisFF/kroesl-2019-ThesisFF-image:thumb{{size}}.png" }, { "description": "submitted video", "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2019-ThesisFF-video.mp4", "type": "video/mp4", "size": 55490769, "path": "Publication:kroesl-2019-ThesisFF", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ThesisFF/kroesl-2019-ThesisFF-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ThesisFF/kroesl-2019-ThesisFF-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ThesisFF/kroesl-2019-ThesisFF-video:video.mp4" } ], "projects_workgroups": [ "abteilung" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ThesisFF/", "__class": "Publication" }, { "id": "Thann_2019_01", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Evaluation of Coherent Hierarchical Culling Revisited with Varied Parameters", "date": "2019-06-30", "abstract": "Point clouds received through various types of 3D-scanning techniques increase in size\nconstantly. To compensate for this fact,the performance of rendering point clouds has\nto be improved accordingly. In addition to view frustum culling, occlusion culling can be used to reduce the number of points that has to be loaded. The occlusion culling algorithm I evaluate is called \"CHC++: Coherent Hierarchical Culling Revisited\" [MBW08]. For this thesis, I implemented a parameterizable point cloud renderer that allowed me to test varied values for multiple parameters. While not all parameters are defined in the evaluated paper, all influence the algorithm’s performance. My evaluation shows that\nthe algorithm increases performance clearly for non-synthetic scenes. However, with\nthe scenes in this evaluation, Tighter Bounding Volumes introduced a slight decrease in performance instead of improving it. Furthermore, using an SSD instead of an HDD did not yield the expected impact on the loading speed. Finally, I provide a general use case\nspecific decision guideline for choosing values for the parameters. My mplementation\nproduced for this thesis is available under the GNU Lesser General Public License, Version 3.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 483, "image_height": 212, "name": "Thann_2019_01-image.JPG", "type": "image/jpeg", "size": 24477, "path": "Publication:Thann_2019_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Thann_2019_01/Thann_2019_01-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Thann_2019_01/Thann_2019_01-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1279 ], "date_end": "2019-06-30", "date_start": "2015-10-12", "matrikelnr": "01025543", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Thann_2019_01-Bachelor Thesis.pdf", "type": "application/pdf", "size": 7557502, "path": "Publication:Thann_2019_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Thann_2019_01/Thann_2019_01-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Thann_2019_01/Thann_2019_01-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 483, "image_height": 212, "name": "Thann_2019_01-image.JPG", "type": "image/jpeg", "size": 24477, "path": "Publication:Thann_2019_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Thann_2019_01/Thann_2019_01-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Thann_2019_01/Thann_2019_01-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Thann_2019_01/", "__class": "Publication" }, { "id": "clemenz_2019_rosy_fields", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Fast Rotationally Symmetric Direction Fields on 3D Surfaces", "date": "2019-06-28", "abstract": "We demonstrate the implementation of the Globally Optimal Direction Field algorithm\nby Knöppel et al. as a plugin for a geometry processing software. The plugin constructs\nN-RoSy fields of arbitrary degree by solving a smallest eigenvalue problem. For that, we\nuse a sparse Cholesky solver and the Inverse Power Method. The field can optionally be\naligned to the principal curvature induced by the geometry. We also added the option\nto use the improvements proposed by Pellenard et al. These improvements contain\nconstraints imposed on certain areas of the mesh. A linear least squares approach is\nthen used for solving the over-constrained system. Our main contribution is to clarify\nambiguities we found in these papers, especially regarding the constraints.\n\nWe tested the algorithm using meshes of different common sizes used in 3D modeling\nfor the computation time and ease of usage. Although the algorithm is very fast the\nresponsiveness starts to decline at about 6 * 10^4 polygons. We recommend not to use\nit on huge meshes or detailed 3D scans if fast results are important. The degree of\ncurvature alignment can be difficult to adjust. However, together with fast results,\ndifferent parameter settings can be tested relatively easy.\n\nThe results look very smooth and singularities are often located at geometric features.\nUsing constraints helps to align the field to mesh boundaries, sharp edges or, if it is\nwarped, to the principal curvature directions. Their use is very easy because the results\nare predictable. Only curvature constraints can sometimes be hard to predict and are\nbest used in conjunction with other constraints.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3840, "image_height": 1581, "name": "clemenz_2019_rosy_fields-image.jpg", "type": "image/jpeg", "size": 1417796, "path": "Publication:clemenz_2019_rosy_fields", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/clemenz_2019_rosy_fields/clemenz_2019_rosy_fields-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/clemenz_2019_rosy_fields/clemenz_2019_rosy_fields-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1562 ], "co_supervisor": [ 1395 ], "date_end": "2019-06-28", "date_start": "2018-05-22", "matrikelnr": "01226279", "supervisor": [ 1395 ], "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "Direction Fields", "RoSy Fields", "Global Approach" ], "weblinks": [ { "href": "https://gitlab.cg.tuwien.ac.at/perler/crossfields", "caption": "Source", "description": null, "main_file": 0 }, { "href": "https://instalod.com/#Home", "caption": "In Cooperation with InstaLOD", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3840, "image_height": 1581, "name": "clemenz_2019_rosy_fields-image.jpg", "type": "image/jpeg", "size": 1417796, "path": "Publication:clemenz_2019_rosy_fields", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/clemenz_2019_rosy_fields/clemenz_2019_rosy_fields-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/clemenz_2019_rosy_fields/clemenz_2019_rosy_fields-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "clemenz_2019_rosy_fields-thesis.pdf", "type": "application/pdf", "size": 7665923, "path": "Publication:clemenz_2019_rosy_fields", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/clemenz_2019_rosy_fields/clemenz_2019_rosy_fields-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/clemenz_2019_rosy_fields/clemenz_2019_rosy_fields-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/clemenz_2019_rosy_fields/", "__class": "Publication" }, { "id": "ganglberger2019", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "From Neurons to Behavior: Visual Analytics Methods for Heterogeneous Spatial Big Brain Data ", "date": "2019-06-25", "abstract": "Advances in neuro-imaging have allowed big brain initiatives and consortia to create vast resources of brain data that can be mined for insights into mental processes and biological principles. Research in this area does not only relate to mind and consciousness, but also to the understanding of many neurological disorders, such as Alzheimer’s disease, autism, and anxiety. Exploring the relationships between genes, brain circuitry, and behavior is therefore a key element in research that requires the joint analysis of a heterogeneous set of spatial brain data, including 3D imaging data, anatomical data, and brain networks at varying scales, resolutions, and modalities. Due to high-throughput imaging platforms, this data’s size and complexity goes beyond the state-of-the-art by several orders of magnitude. Current analytical workflows involve time-consuming manual data aggregation and extensive computational analysis in script-based toolboxes. Visual analytics methods for exploring big brain data can support neuroscientists in this process, so they can focus on understanding the data rather than handling it.\nIn this thesis, several contributions that target this problem are presented. The first contribution is a computational method that fuses genetic information with spatial gene expression data and connectivity data to predict functional neuroanatomical maps. These maps indicate, which brain areas might be related to a specific function or behavior. The approach has been applied to predict yet unknown functional neuroanatomy underlying multigeneic behavioral traits identified in genetic association studies and has demonstrated that rather than being randomly distributed throughout the brain, functionally-related gene sets accumulate in specific networks. The second contribution is the creation of a data structure that enables the interactive exploration of big brain network data with billions of edges. By utilizing the resulting hierarchical and spatial organization of the data, this approach allows neuroscientists on-demand queries of incoming/outgoing connections of arbitrary regions of interest on different anatomical scales. These queries would otherwise exceed the limits of current consumer level PCs. The data structure is used in the third contribution, a novel web-based framework to explore neurobiological imaging and connectivity data of different types, modalities, and scale. It employs a query-based interaction scheme to retrieve 3D spatial gene expressions and various types of connectivity to enable an interactive dissection of networks in real-time with respect to their genetic composition. The data is related to a hierarchical organization of common anatomical atlases that enables neuroscientists to compare multimodal networks on different scales in their anatomical context. Furthermore, the framework is designed to facilitate collaborative work with shareable comprehensive workflows on the web.\nAs a result, the approaches presented in this thesis may assist neuroscientists to refine their understanding of the functional organization of the brain beyond simple anatomical domains and expand their knowledge about how our genes affect our mind. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1235, "image_height": 709, "name": "ganglberger2019-image.png", "type": "image/png", "size": 460582, "path": "Publication:ganglberger2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ganglberger2019/ganglberger2019-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ganglberger2019/ganglberger2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1747 ], "co_supervisor": [ 231 ], "date_end": "2019", "date_start": "2014", "open_access": "yes", "reviewer_1": [ 459 ], "reviewer_2": [ 1748 ], "rigorosum": "2019-09-03", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1235, "image_height": 709, "name": "ganglberger2019-image.png", "type": "image/png", "size": 460582, "path": "Publication:ganglberger2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ganglberger2019/ganglberger2019-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ganglberger2019/ganglberger2019-image:thumb{{size}}.png" }, { "description": null, "filetitle": "PhD Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "ganglberger2019-PhD Thesis.pdf", "type": "application/pdf", "size": 7590840, "path": "Publication:ganglberger2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ganglberger2019/ganglberger2019-PhD Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ganglberger2019/ganglberger2019-PhD Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ganglberger2019/", "__class": "Publication" }, { "id": "byska-2019-mdfc", "type_id": "journalpaper", "tu_id": 283263, "repositum_id": null, "title": "Analysis of Long Molecular Dynamics Simulations Using Interactive Focus+Context Visualization", "date": "2019-06", "abstract": "Analyzing molecular dynamics (MD) simulations is a key aspect to understand protein dynamics and function. With increasing computational power, it is now possible to generate very long and complex simulations, which are cumbersome to explore using traditional 3D animations of protein movements. Guided by requirements derived from multiple focus groups with protein engineering experts, we designed and developed a novel interactive visual analysis approach for long and crowded MD simulations. In this approach, we link a dynamic 3D focus+context visualization with a 2D chart of time series data to guide the detection and navigation towards important spatio-temporal events. The 3D visualization renders elements of interest in more detail and increases the temporal resolution dependent on the time series data or the spatial region of interest. In case studies with different MD simulation data sets and research questions, we found that the proposed visual analysis approach facilitates exploratory analysis to generate, confirm, or reject hypotheses about causalities. Finally, we derived design guidelines for interactive visual analysis of complex MD simulation data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 783, "image_height": 717, "name": "byska-2019-mdfc-teaser.jpg", "type": "image/jpeg", "size": 95308, "path": "Publication:byska-2019-mdfc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1254, 1196, 1669, 1499, 1248, 1110 ], "cfp": { "name": "Eurovis 2019 CFP.pdf", "type": "application/pdf", "error": "0", "size": "91823", "orig_name": "Eurovis 2019 CFP.pdf", "ext": "pdf" }, "date_from": "2019-06-03", "date_to": "2019-06-07", "doi": "10.1111/cgf.13701", "event": "EuroVis 2019", "journal": "Computer Graphics Forum", "lecturer": [ 1254 ], "location": "Porto, Portugal", "number": "3", "pages_from": "441", "pages_to": "453", "volume": "38", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [ "scientific visualization", "user centered design" ], "weblinks": [ { "href": "https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.13701", "caption": "Wiley Online ", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "byska-2019-mdfc-paper.pdf", "type": "application/pdf", "size": 5805942, "path": "Publication:byska-2019-mdfc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-paper:thumb{{size}}.png" }, { "description": "Domain expert report of findings", "filetitle": "supplement", "main_file": false, "use_in_gallery": false, "access": "public", "name": "byska-2019-mdfc-supplement.pdf", "type": "application/pdf", "size": 2846584, "path": "Publication:byska-2019-mdfc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-supplement.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-supplement:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 783, "image_height": 717, "name": "byska-2019-mdfc-teaser.jpg", "type": "image/jpeg", "size": 95308, "path": "Publication:byska-2019-mdfc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "byska-2019-mdfc-video.mp4", "type": "video/mp4", "size": 222623560, "path": "Publication:byska-2019-mdfc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-video:video.mp4" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/", "__class": "Publication" }, { "id": "CORNEL-2019-IVF", "type_id": "journalpaper", "tu_id": 282894, "repositum_id": null, "title": "Interactive Visualization of Flood and Heavy Rain Simulations", "date": "2019-06", "abstract": "In this paper, we present a real-time technique to visualize large-scale adaptive height fields withC1-continuous surfacereconstruction. Grid-based shallow water simulation is an indispensable tool for interactive flood management applications.Height fields defined on adaptive grids are often the only viable option to store and process the massive simulation data. Theirvisualization requires the reconstruction of a continuous surface from the spatially discrete simulation data. For regular grids,fast linear and cubic interpolation are commonly used for surface reconstruction. For adaptive grids, however, there exists nohigher-order interpolation technique fast enough for interactive applications.Our proposed technique bridges the gap between fast linear and expensive higher-order interpolation for adaptive surfacereconstruction. During reconstruction, no matter if regular or adaptive, discretization and interpolation artifacts can occur,which domain experts consider misleading and unaesthetic. We take into account boundary conditions to eliminate these artifacts,which include water climbing uphill, diving towards walls, and leaking through thin objects. We apply realistic water shadingwith visual cues for depth perception and add waves and foam synthesized from the simulation data to emphasize flow directions.The versatility and performance of our technique are demonstrated in various real-world scenarios. A survey conducted withdomain experts of different backgrounds and concerned citizens proves the usefulness and effectiveness of our technique.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 567, "image_height": 321, "name": "CORNEL-2019-IVF-image.png", "type": "image/png", "size": 323302, "path": "Publication:CORNEL-2019-IVF", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 877, 1688, 1205, 1207, 193, 1689, 798 ], "cfp": { "name": "Eurovis 2019-cfp.pdf", "type": "application/pdf", "error": "0", "size": "138759", "orig_name": "Eurovis 2019-cfp.pdf", "ext": "pdf" }, "date_from": "2019-06-03", "date_to": "2019-06-07", "doi": "10.1111/cgf.13669", "event": "Eurographics/VGTC Conference on Visualization (EuroVis) 2019", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 877 ], "location": "Porto, Portugal", "number": "3", "pages_from": "25", "pages_to": "39", "volume": "38", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 567, "image_height": 321, "name": "CORNEL-2019-IVF-image.png", "type": "image/png", "size": 323302, "path": "Publication:CORNEL-2019-IVF", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "CORNEL-2019-IVF-Paper.pdf", "type": "application/pdf", "size": 5349440, "path": "Publication:CORNEL-2019-IVF", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/", "__class": "Publication" }, { "id": "kan-2019-dli", "type_id": "journalpaper", "tu_id": 280958, "repositum_id": null, "title": "DeepLight: Light Source Estimation for Augmented Reality using Deep Learning", "date": "2019-06", "abstract": "This paper presents a novel method for illumination estimation from RGB-D images. The main focus of the proposed method is to enhance visual coherence in augmented reality applications by providing accurate and temporally coherent estimates of real illumination. For this purpose, we designed and trained a deep neural network which calculates a dominant light direction from a single RGB-D image. Additionally, we propose a novel method for real-time outlier detection to achieve temporally coherent estimates. Our method for light source estimation in augmented reality was evaluated on the set of real scenes. Our results demonstrate that the neural network can successfully estimate light sources even in scenes which were not seen by the network during training. Moreover, we compared our results with illumination estimates calculated by the state-of-the-art method for illumination estimation. Finally, we demonstrate the applicability of our method on numerous augmented reality scenes.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 627, "image_height": 458, "name": "kan-2019-dli-.jpg", "type": "image/jpeg", "size": 220193, "path": "Publication:kan-2019-dli", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kan-2019-dli/kan-2019-dli-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kan-2019-dli/kan-2019-dli-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1720, 378 ], "cfp": { "name": "CGI-Proceeding-CFP-v5.pdf", "type": "application/pdf", "error": "0", "size": "314155", "orig_name": "CGI-Proceeding-CFP-v5.pdf", "ext": "pdf" }, "date_from": "2019", "date_to": "2019", "doi": "10.1007/s00371-019-01666-x", "event": " Computer Graphics International 2019", "journal": "The Visual Computer", "lecturer": [ 378 ], "number": "6", "open_access": "yes", "pages_from": "873", "pages_to": "883", "volume": "35", "research_areas": [ "VR" ], "keywords": [ "Light source estimation", "Augmented reality", "Photometric registration", "Deep learning" ], "weblinks": [ { "href": "https://link.springer.com/article/10.1007/s00371-019-01666-x", "caption": null, "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 627, "image_height": 458, "name": "kan-2019-dli-.jpg", "type": "image/jpeg", "size": 220193, "path": "Publication:kan-2019-dli", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kan-2019-dli/kan-2019-dli-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kan-2019-dli/kan-2019-dli-:thumb{{size}}.png" } ], "projects_workgroups": [ "vr" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kan-2019-dli/", "__class": "Publication" }, { "id": "raidou_star2019", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "State-of-the-Art Report: Visual Computing in Radiation Therapy Planning", "date": "2019-06", "abstract": "Radiation therapy (RT) is one of the major curative approaches for cancer. It is a complex and risky treatment approach, which\nrequires precise planning, prior to the administration of the treatment. Visual Computing (VC) is a fundamental component of\nRT planning, providing solutions in all parts of the process—from imaging to delivery. Despite the significant technological\nadvancements of RT over the last decades, there are still many challenges to address. This survey provides an overview of\nthe compound planning process of RT, and of the ways that VC has supported RT in all its facets. The RT planning process\nis described to enable a basic understanding in the involved data, users and workflow steps. A systematic categorization and\nan extensive analysis of existing literature in the joint VC/RT research is presented, covering the entire planning process. The\nsurvey concludes with a discussion on lessons learnt, current status, open challenges, and future directions in VC/RT research.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": null, "preview_image_height": null, "name": "raidou_star2019-.pdf", "type": "application/pdf", "size": 8627472, "path": "Publication:raidou_star2019", "preview_name": "raidou_star2019-:preview.pdf", "preview_type": "application/pdf", "preview_size": 295636, "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_star2019/raidou_star2019-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_star2019/raidou_star2019-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1651, 1410, 1445, 563, 231 ], "cfp": { "name": "Eurovis 2019.pdf", "type": "application/pdf", "error": "0", "size": "81765", "orig_name": "Eurovis 2019.pdf", "ext": "pdf" }, "date_from": "2019", "date_to": "2019", "event": "EuroVis 2019", "journal": "Computer Graphics Forum", "lecturer": [ 1410 ], "number": "38", "pages_from": "753", "pages_to": "779", "volume": "3", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": null, "preview_image_height": null, "name": "raidou_star2019-.pdf", "type": "application/pdf", "size": 8627472, "path": "Publication:raidou_star2019", "preview_name": "raidou_star2019-:preview.pdf", "preview_type": "application/pdf", "preview_size": 295636, "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_star2019/raidou_star2019-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_star2019/raidou_star2019-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_star2019/", "__class": "Publication" }, { "id": "takahashi-2019-acdt", "type_id": "journalpaper_notalk", "tu_id": 283264, "repositum_id": null, "title": "Mental Map Preservation for Progressively Labeling Railway Networks", "date": "2019-06", "abstract": "Schematizing railway networks for better readability is often achieved by aligning railway lines along the octilinear directions. However, such railway map layouts require further adjustment when placing station name labels. In this article, the authors present a novel approach to automating the placement of station names around the railway network while maximally respecting its original layout as the mental map. The key idea is to progressively annotate stations from congested central downtown areas to sparse rural areas. This is accomplished by introducing the sum of geodesic distances over the railway network to properly order the stations to be annotated first, and then elongating the line segments of the railway network while retaining their directions to spare enough labeling space around each station. Additional constraints are also introduced to restrict the aspect ratios of the region confined by the railway network for better preservation of the mental map.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "takahashi-2019-acdt-image.png", "type": "image/png", "size": 29890, "path": "Publication:takahashi-2019-acdt", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1580, 1625, 1626, 1464, 1676, 1627 ], "doi": "https://doi.org/10.4018/IJACDT.2019010103", "journal": "International Journal of Art, Culture and Design Technologies", "number": "1", "pages_from": "31", "pages_to": "50", "volume": "8", "research_areas": [ "IllVis", "InfoVis" ], "keywords": [ "Geodesic Distances", "Mental Maps", "Mixed-Integer Programming", "Progressive Annotation", "Railway Maps", "Schematic Layouts" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "takahashi-2019-acdt-image.png", "type": "image/png", "size": 29890, "path": "Publication:takahashi-2019-acdt", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-image:thumb{{size}}.png" }, { "description": null, "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "takahashi-2019-acdt-pdf.pdf", "type": "application/pdf", "size": 1599109, "path": "Publication:takahashi-2019-acdt", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-pdf:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/", "__class": "Publication" }, { "id": "Troidl_2019", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Flow Visualization on Curved Manifolds", "date": "2019-05-28", "abstract": "Climate researchers often use simulations to generate 2D vector fields of wind or ocean currents. They need visualization tools to validate and further improve their research. In this work, we present a framework that is capable of visualizing unsteady 2D flow fields on curved surfaces. An important property of our framework is that it works intrinsically in 2D, instead of in 3D ambient space. Our primary example is the visualization of 2D geophysical flow on the 2-sphere. We build on methods from differential geometry to compute line integral convolution and path lines intrinsically on curved surfaces.\nWhile line integral convolution provides an overview of one time step of an unsteady\nflow field, path lines give us a more detailed insight into an unsteady flow field. We animate the line integral convolution images and the path lines to show the direction of the flow. Furthermore, we illuminate the path lines to improve spatial perception. Our visualizations are all computed in real time and can be used interactively.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1431, "image_height": 1434, "name": "Troidl_2019-image.PNG", "type": "image/png", "size": 2199579, "path": "Publication:Troidl_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Troidl_2019/Troidl_2019-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Troidl_2019/Troidl_2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1659 ], "date_end": "2019-05-29", "date_start": "2018-11-02", "matrikelnr": "01525071", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://www.youtube.com/watch?v=5B0BHSpi_6g&t=1s", "caption": "Youtube: Flow Visualization on Curved Manifolds", "description": "Flow Visualization on Curved Manifolds", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Troidl_2019-Bachelor Thesis.pdf", "type": "application/pdf", "size": 15846221, "path": "Publication:Troidl_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Troidl_2019/Troidl_2019-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Troidl_2019/Troidl_2019-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1431, "image_height": 1434, "name": "Troidl_2019-image.PNG", "type": "image/png", "size": 2199579, "path": "Publication:Troidl_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Troidl_2019/Troidl_2019-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Troidl_2019/Troidl_2019-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Troidl_2019/", "__class": "Publication" }, { "id": "miao_nantech_2019", "type_id": "poster", "tu_id": 283265, "repositum_id": null, "title": "Interactive Visual Analysis for the Design of DNA Nanostructures", "date": "2019-05-27", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 647, "preview_image_height": 918, "name": "miao_nantech_2019-.pdf", "type": "application/pdf", "size": 2548866, "path": "Publication:miao_nantech_2019", "preview_name": "miao_nantech_2019-:preview.png", "preview_type": "image/png", "preview_size": 470720, "url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_nantech_2019/miao_nantech_2019-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_nantech_2019/miao_nantech_2019-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263, 1474, 171, 1473 ], "date_from": "2019-05-27", "date_to": "2019-05-29", "event": "NANTECH 2019 – Nucleic Acid Nanotechnology: From Algorithmic Design to Biochemical Applications – Espoo, Finland", "research_areas": [ "BioVis", "IllVis", "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 647, "preview_image_height": 918, "name": "miao_nantech_2019-.pdf", "type": "application/pdf", "size": 2548866, "path": "Publication:miao_nantech_2019", "preview_name": "miao_nantech_2019-:preview.png", "preview_type": "image/png", "preview_size": 470720, "url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_nantech_2019/miao_nantech_2019-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_nantech_2019/miao_nantech_2019-:thumb{{size}}.png" } ], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_nantech_2019/", "__class": "Publication" }, { "id": "plank-2017-sldg", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/8559", "title": "Effective Line Drawing Generation", "date": "2019-05-27", "abstract": "Advanced rendering algorithms such as suggestive contours are able to depict objects in the style of line drawings with various levels of detail. How to select an appropriate level of detail is based on visual aesthetics rather than on substantial characteristics like the accuracy of 3D shape perception. The aim of this thesis is to develop a novel approach for effectively generating line drawings in the style of suggestive contours that are optimized for human 3D shape perception while retaining the amount of ink to a minimum. The proposed post-processing meta-heuristic for optimizing line drawings uses empirical thresholds based on probing human shape perception. The heuristic can also\nbe used to optimize line drawings in terms of other visual characteristics, e.g., cognitive load, and for other line drawings styles such as ridges and valleys.\nThe optimization routine is based on a conducted perceptual user study using the gauge figure task to collect more than 17, 000 high-quality user estimates of surface normals from suggestive contours renderings. By analyzing these data points, more in-depth understanding of how humans perceive 3D shape from line drawings is gained. Particularly the accuracy of 3D shape perception and shape ambiguity in regards to changing the level of detail and type of object presented is investigated. In addition, the collected data points are used to calculate two pixel-based perceptual characteristics: the optimal size of a local neighborhood area to estimate 3D shape from and the optimal local ink percentage in this area.\nIn the analysis, a neighborhood size of 36 pixels with an optimal ink percentage of\n17.3% could be identified. These thresholds are used to optimize suggestive contours\nrenderings in a post-processing stage using a greedy nearest neighbor optimization scheme.\nThe proposed meta-heuristic procedure yields visually convincing results where each\npixel value is close to the identified thresholds. In terms of practical application, the optimization scheme can be used in areas where high 3D shape understanding is essential such as furniture manuals or architectural renderings. Both the empirical results regarding shape understanding as well as the practical applications of the thesis’s results form the basis to optimize other line drawing methods and to understand better how humans\nperceive shape from lines.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 192, "image_height": 190, "name": "plank-2017-sldg-image.JPG", "type": "image/jpeg", "size": 16355, "path": "Publication:plank-2017-sldg", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/plank-2017-sldg-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/plank-2017-sldg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1293 ], "date_end": "2019-05-27", "date_start": "2017-07-01", "diploma_examina": "2019-05-27", "doi": "10.34726/hss.2018.56226", "matrikelnr": "1225804", "open_access": "yes", "pages": "84", "supervisor": [ 171 ], "research_areas": [ "IllVis", "Perception" ], "keywords": [ "visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 192, "image_height": 190, "name": "plank-2017-sldg-image.JPG", "type": "image/jpeg", "size": 16355, "path": "Publication:plank-2017-sldg", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/plank-2017-sldg-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/plank-2017-sldg-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "plank-2017-sldg-Master Thesis.pdf", "type": "application/pdf", "size": 17505561, "path": "Publication:plank-2017-sldg", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/plank-2017-sldg-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/plank-2017-sldg-Master Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/", "__class": "Publication" }, { "id": "wu-2019-bmc", "type_id": "journalpaper_notalk", "tu_id": 280645, "repositum_id": null, "title": "Metabopolis: Scalable Network Layout for Biological Pathway Diagrams in Urban Map Style", "date": "2019-05-15", "abstract": "Background\nBiological pathways represent chains of molecular interactions in biological systems that jointly form complex dynamic networks. The network structure changes from the significance of biological experiments and layout algorithms often sacrifice low-level details to maintain high-level information, which complicates the entire image to large biochemical systems such as human metabolic pathways.\n\nResults\nOur work is inspired by concepts from urban planning since we create a visual hierarchy of biological pathways, which is analogous to city blocks and grid-like road networks in an urban area. We automatize the manual drawing process of biologists by first partitioning the map domain into multiple sub-blocks, and then building the corresponding pathways by routing edges schematically, to maintain the global and local context simultaneously. Our system incorporates constrained floor-planning and network-flow algorithms to optimize the layout of sub-blocks and to distribute the edge density along the map domain. We have developed the approach in close collaboration with domain experts and present their feedback on the pathway diagrams based on selected use cases.\n\nConclusions\nWe present a new approach for computing biological pathway maps that untangles visual clutter by decomposing large networks into semantic sub-networks and bundling long edges to create space for presenting relationships systematically.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-bmc-image.png", "type": "image/png", "size": 107492, "path": "Publication:wu-2019-bmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 1673, 171 ], "doi": "http://doi.org/10.1186/s12859-019-2779-4", "journal": "BMC Bioinformatics", "number": "187", "pages_from": "1", "pages_to": "20", "volume": "20", "research_areas": [ "BioVis", "IllVis", "InfoVis" ], "keywords": [ "Biological pathways", "Graph drawing", "Mapmetaphor", "Orthogonallayout", "Floorplanning", "Edgerouting" ], "weblinks": [ { "href": "https://www.youtube.com/watch?v=AhWCIGTxqAg", "caption": "video", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-bmc-image.png", "type": "image/png", "size": 107492, "path": "Publication:wu-2019-bmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2019-bmc-paper.pdf", "type": "application/pdf", "size": 8528804, "path": "Publication:wu-2019-bmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/", "__class": "Publication" }, { "id": "Riegelnegg_2019", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Conveying a Sense of Scale in 3D Planetary Environments", "date": "2019-05-05", "abstract": "3D visualizations of Mars enable scientists to explore the Martian surface in great detail and play an essential role in planetary science, mission planning, and the communication of scientific findings. Due to the unfamiliar environment depicted in these visualizations, conveying a sense of scale is necessary. In this thesis, we characterize the problem space of conveying scale in 3D visualizations of Mars projected onto a 2D screen and design\nrepresentations that satisfy the requirements of specific use cases. We discuss challenges posed by different types of scale, magnitudes of scale, use cases, and levels of expertise.\nThe designed representations include scale-bars, scale-boxes, known-object comparison,\ntrue-layer-thickness, contour-lines, vertical exaggeration, distance shading, and landing ellipses. We received informal feedback for each representation from a planetary scientist and conducted an experiment for known-object comparison with 20 non-experts. The feedback suggests that our representations are capable of conveying a sense of scale in 3D visualizations of Mars for their specific use cases.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 236, "image_height": 163, "name": "Riegelnegg_2019-image.JPG", "type": "image/jpeg", "size": 13110, "path": "Publication:Riegelnegg_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/Riegelnegg_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/Riegelnegg_2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1655 ], "date_end": "2019-05-05", "date_start": "2018-12-10", "matrikelnr": "00510453", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Riegelnegg_2019-Bachelor Thesis.pdf", "type": "application/pdf", "size": 10791049, "path": "Publication:Riegelnegg_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/Riegelnegg_2019-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/Riegelnegg_2019-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 236, "image_height": 163, "name": "Riegelnegg_2019-image.JPG", "type": "image/jpeg", "size": 13110, "path": "Publication:Riegelnegg_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/Riegelnegg_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/Riegelnegg_2019-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/", "__class": "Publication" }, { "id": "STEINLECHNER-2019-APS", "type_id": "inproceedings", "tu_id": 283267, "repositum_id": null, "title": "Adaptive Point-cloud Segmentation for Assisted Interactions", "date": "2019-05", "abstract": "In this work, we propose an interaction-driven approach streamlined to\nsupport and improve a wide range of real-time 2D interaction metaphors\nfor arbitrarily large pointclouds based on detected primitive shapes.\nRather than performing shape detection as a costly pre-processing step\non the entire point cloud at once, a user-controlled interaction\ndetermines the region that is to be segmented next. By keeping the size\nof the region and the number of points small, the algorithm produces\nmeaningful results and therefore feedback on the local geometry within a\nfraction of a second. We can apply these finding for improved picking\nand selection metaphors in large point clouds, and propose further novel\nshape-assisted interactions that utilize this local semantic information\nto improve the user’s workflow.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Our novel interactive approach for shape detection in point clouds allows for sophisticated interactions, like shape-assisted lasso selection, shape-assisted volumetric brush, and shape-assisted local LoD increment.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1573, "image_height": 588, "name": "STEINLECHNER-2019-APS-teaser.PNG", "type": "image/png", "size": 1889379, "path": "Publication:STEINLECHNER-2019-APS", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/STEINLECHNER-2019-APS-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/STEINLECHNER-2019-APS-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1387, 1539, 678, 1640, 1002, 228, 193 ], "booktitle": "Proceedings of the 33rd Symposium on Interactive 3D Graphics and Games", "cfp": { "name": "I3D 2019 _ Symposium on Interactive 3D Graphics and Games.pdf", "type": "application/pdf", "error": "0", "size": "31008", "orig_name": "I3D 2019 _ Symposium on Interactive 3D Graphics and Games.pdf", "ext": "pdf" }, "date_from": "2019-05-21", "date_to": "2019-05-23", "doi": "10.1145/3306131.3317023", "editor": "Blenkhorn, Ari Rapkin", "event": "33rd Symposium on Interactive 3D Graphics and Games", "isbn": "978-1-4503-6310-5", "lecturer": [ 1387 ], "location": "Montreal, Quebec, Canada", "pages_from": "14:1", "pages_to": "14:9", "publisher": "ACM", "series": "I3D ’19", "research_areas": [ "Rendering" ], "keywords": [ "Pointcloud Segmentation", "Shape Detection", "Interactive Editing" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "STEINLECHNER-2019-APS-draft.pdf", "type": "application/pdf", "size": 19929621, "path": "Publication:STEINLECHNER-2019-APS", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/STEINLECHNER-2019-APS-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/STEINLECHNER-2019-APS-draft:thumb{{size}}.png" }, { "description": "Our novel interactive approach for shape detection in point clouds allows for sophisticated interactions, like shape-assisted lasso selection, shape-assisted volumetric brush, and shape-assisted local LoD increment.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1573, "image_height": 588, "name": "STEINLECHNER-2019-APS-teaser.PNG", "type": "image/png", "size": 1889379, "path": "Publication:STEINLECHNER-2019-APS", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/STEINLECHNER-2019-APS-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/STEINLECHNER-2019-APS-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/", "__class": "Publication" }, { "id": "kerbl_2019_planet_poster", "type_id": "poster", "tu_id": 283273, "repositum_id": null, "title": "Real-time Rendering of Procedural Planets at Arbitrary Altitudes", "date": "2019-05", "abstract": "Focusing on real-time, high-fidelity rendering, we present a novel approach for combined consideration of four major phenomena that define the visual representation of entire planets: We present a simple and fast solution for a distortion-free generation of 3D planetary terrain, spherical ocean waves and efficient rendering of volumetric clouds along with atmospheric scattering. Our approach to terrain and ocean mesh generation relies on a projected, persistent grid that can instantaneously and smoothly adapt to fast-changing viewpoints. For generating planetary ocean surfaces, we present a wave function that creates seamless, evenly spaced waves across the entire planet without causing unsightly artifacts. We further show how to render volumetric clouds in combination with precomputed atmospheric scattering and account for their contribution to light transport above ground. Our method provides mathematically consistent approximations of cloud-atmosphere interactions and works for any view point and direction, ensuring continuous transitions in appearance as the viewer moves from ground to space. Among others, our approach supports cloud shadows, light shafts, ocean reflections, and earth shadows on the clouds. The sum of these effects can be visualized at more than 120 frames per second on current graphics processing units.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "atmosphere", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1537, "image_height": 1074, "name": "kerbl_2019_planet_poster-atmosphere.png", "type": "image/png", "size": 692730, "path": "Publication:kerbl_2019_planet_poster", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/kerbl_2019_planet_poster-atmosphere.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/kerbl_2019_planet_poster-atmosphere:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1663, 1661, 1664, 1650, 1662 ], "cfp": { "name": "cfp.pdf", "type": "application/pdf", "error": "0", "size": "352813", "orig_name": "cfp.pdf", "ext": "pdf" }, "date_from": "2019-05-21", "date_to": "2019-05-23", "event": "I3D 2019", "location": "Montreal, Canada", "note": "Voted best poster of I3D '19", "research_areas": [ "Rendering" ], "keywords": [ "planet, rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "atmosphere", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1537, "image_height": 1074, "name": "kerbl_2019_planet_poster-atmosphere.png", "type": "image/png", "size": 692730, "path": "Publication:kerbl_2019_planet_poster", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/kerbl_2019_planet_poster-atmosphere.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/kerbl_2019_planet_poster-atmosphere:thumb{{size}}.png" }, { "description": null, "filetitle": "ground", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1920, "image_height": 1080, "name": "kerbl_2019_planet_poster-ground.png", "type": "image/png", "size": 771796, "path": "Publication:kerbl_2019_planet_poster", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/kerbl_2019_planet_poster-ground.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/kerbl_2019_planet_poster-ground:thumb{{size}}.png" }, { "description": null, "filetitle": "sunrise", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1920, "image_height": 1080, "name": "kerbl_2019_planet_poster-sunrise.png", "type": "image/png", "size": 6232017, "path": "Publication:kerbl_2019_planet_poster", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/kerbl_2019_planet_poster-sunrise.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/kerbl_2019_planet_poster-sunrise:thumb{{size}}.png" }, { "description": null, "filetitle": "waves", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1920, "image_height": 1080, "name": "kerbl_2019_planet_poster-waves.png", "type": "image/png", "size": 788596, "path": "Publication:kerbl_2019_planet_poster", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/kerbl_2019_planet_poster-waves.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/kerbl_2019_planet_poster-waves:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/", "__class": "Publication" }, { "id": "LUKSCH-2019-IGI", "type_id": "inproceedings", "tu_id": 283266, "repositum_id": null, "title": "Incrementally Baked Global Illumination", "date": "2019-05", "abstract": "Global Illumination is affected by the slightest change in a 3D scene,\nrequiring a complete reevaluation of the distributed light. In cases\nwhere real-time algorithms are not applicable due to high demands on the\nachievable accuracy, this recomputation from scratch results in\nartifacts like flickering or noise, disturbing the visual appearance and\nnegatively affecting interactive lighting design workflows. We propose a\nnovel system tackling this problem by providing incremental updates of a\nbaked global illumination solution after scene modifications, and a\nre-convergence after a few seconds. Using specifically targeted\nincremental data structures and prioritization strategies in a\nmany-light global illumination algorithm, we compute a differential\nupdate from one illumination state to another. We further demonstrate\nthe use of a novel error balancing strategy making it possible to\nprioritize the illumination updates.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 601, "image_height": 240, "name": "LUKSCH-2019-IGI-teaser.png", "type": "image/png", "size": 152670, "path": "Publication:LUKSCH-2019-IGI", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 659, 193, 678 ], "booktitle": "Proceedings of the 33rd Symposium on Interactive 3D Graphics and Games (I3D 2019)", "cfp": { "name": "I3D 2019 _ Symposium on Interactive 3D Graphics and Games.pdf", "type": "application/pdf", "error": "0", "size": "31008", "orig_name": "I3D 2019 _ Symposium on Interactive 3D Graphics and Games.pdf", "ext": "pdf" }, "date_from": "2019-05-21", "date_to": "2019-05-23", "doi": "10.1145/3306131.3317015", "editor": "Blenkhorn, Ari Rapkin", "event": "33rd Symposium on Interactive 3D Graphics and Games (I3D 2019)", "isbn": "978-1-4503-6310-5", "lecturer": [ 659 ], "location": "Montreal, Quebec, Canada", "pages_from": "4:1", "pages_to": "4:10", "publisher": "ACM", "series": "I3D ’19", "research_areas": [ "Rendering" ], "keywords": [ "Global Illumination", "Instant Radiosity", "Lightmaps" ], "weblinks": [], "files": [ { "description": null, "filetitle": "bonus video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "LUKSCH-2019-IGI-bonus video.mp4", "type": "video/mp4", "size": 50423564, "path": "Publication:LUKSCH-2019-IGI", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-bonus video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-bonus video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-bonus video:video.mp4" }, { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "LUKSCH-2019-IGI-draft.pdf", "type": "application/pdf", "size": 42229929, "path": "Publication:LUKSCH-2019-IGI", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 601, "image_height": 240, "name": "LUKSCH-2019-IGI-teaser.png", "type": "image/png", "size": 152670, "path": "Publication:LUKSCH-2019-IGI", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "LUKSCH-2019-IGI-video.mp4", "type": "video/mp4", "size": 108320845, "path": "Publication:LUKSCH-2019-IGI", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-video:video.mp4" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/", "__class": "Publication" }, { "id": "Rippberger_2019", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Data-Driven Anatomical Layouting of Brain Network Graphs", "date": "2019-04-18", "abstract": "The visualization of brain networks today offers a variety of different tools and approaches. Representations in 2D such as connectograms, connectivity matrices, and node-link diagrams are common but an abstract visualization of the network without any anatomical context. Visualizations tools show anatomical context in 2D but adjust it especially for\na certain species as for example the fruit fly’s brain. This project presents a tool for data-driven brain network visualization using the open-source graph library Cytoscape.js to avoid hard coded spatial constraints. The goal of the project was to find a layout algorithm that resembles the anatomical structure of the brain visualized without any hard coded constraints. After testing the layouts, they have been evaluated on different\nproperties like symmetry, node overlapping, and anatomical resemblence. Additionally,\nwe conducted an open discussion with collaborators of the Research Institute of Molecular Pathology (IMP) in Vienna and present the results.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 220, "image_height": 180, "name": "Rippberger_2019-image.JPG", "type": "image/jpeg", "size": 18446, "path": "Publication:Rippberger_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Rippberger_2019/Rippberger_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Rippberger_2019/Rippberger_2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1648 ], "date_end": "2019-04-18", "date_start": "2018-10-10", "matrikelnr": "01307685", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Rippberger_2019-Bachelor Thesis.pdf", "type": "application/pdf", "size": 19036695, "path": "Publication:Rippberger_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Rippberger_2019/Rippberger_2019-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Rippberger_2019/Rippberger_2019-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 220, "image_height": 180, "name": "Rippberger_2019-image.JPG", "type": "image/jpeg", "size": 18446, "path": "Publication:Rippberger_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Rippberger_2019/Rippberger_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Rippberger_2019/Rippberger_2019-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Rippberger_2019/", "__class": "Publication" }, { "id": "vasileva-2019-smw", "type_id": "poster", "tu_id": 283326, "repositum_id": null, "title": "OptiRoute: Interactive Maps for Wayfinding in a Complex Environment", "date": "2019-04-11", "abstract": "Visitors to amusement parks use mobile map appli- cations to decide where to go and to plan efficient routes. Such applications are especially helpful when visitors wish to avoid re-tracking their steps or visiting regions in the park several times. Visitors have limited time in the park, which typically covers a very large area, and the attractions have waiting times of varying duration. Time management is therefore important. In this paper, we propose a new visualization technique to support such route decision making, using an interactive environment. The main contribution of our system, OptiRoute, is the automatic computation of an optimal route between selected attractions as well as its effective visualization, which focuses on reducing visual clutter. This is achieved by improving the branch and bound route-finding algorithm, and introducing an intersection minimization algorithm for route representation. We demonstrate the feasibility of our approach through a case study of Tokyo Disneyland, in addition to a user study.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1068, "image_height": 726, "name": "vasileva-2019-smw-image.png", "type": "image/png", "size": 255384, "path": "Publication:vasileva-2019-smw", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/vasileva-2019-smw-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/vasileva-2019-smw-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1593, 1464 ], "cfp": { "name": "sm2019.pdf", "type": "application/pdf", "error": "0", "size": "78789", "orig_name": "sm2019.pdf", "ext": "pdf" }, "date_from": "2019", "date_to": "2019", "event": "schematic Mapping Workshop 2019", "note": "Best Poster Award", "research_areas": [ "InfoVis" ], "keywords": [ " Maps", "Route finding", "Wayfinding" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1068, "image_height": 726, "name": "vasileva-2019-smw-image.png", "type": "image/png", "size": 255384, "path": "Publication:vasileva-2019-smw", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/vasileva-2019-smw-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/vasileva-2019-smw-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "vasileva-2019-smw-paper.pdf", "type": "application/pdf", "size": 357111, "path": "Publication:vasileva-2019-smw", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/vasileva-2019-smw-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/vasileva-2019-smw-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/", "__class": "Publication" }, { "id": "wu-2019-smw", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": " A Survey on Computing Schematic Network Maps: The Challenge to Interactivity", "date": "2019-04-11", "abstract": "Schematic maps are in daily use to show the connec- tivity of subway systems and to facilitate travellers to plan their journeys effectively. This study surveys up-to-date algorithmic approaches in order to give an overview of the state of the art in schematic network mapping. The study investigates the hypothesis that the choice of algorithmic approach is often guided by the requirements of the mapping application. For example, an algorithm that computes globally optimal solutions for schematic maps is capable of producing results for printing, while it is not suitable for computing instant layouts due to its long running time. Our analysis and discussion, therefore, focus on the compu- tational complexity of the problem formulation and the running times of the schematic map algorithms, including algorithmic network layout techniques and station labeling techniques. The correlation between problem complexity and running time is then visually depicted using scatter plot diagrams. Moreover, since metro maps are common metaphors for data visualization, we also investigate online tools and application domains using metro map representations for analytics purposes, and finally summarize the potential future opportunities for schematic maps.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-smw-image.png", "type": "image/png", "size": 36787, "path": "Publication:wu-2019-smw", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1675, 1580, 1579 ], "cfp": { "name": "sm2019.pdf", "type": "application/pdf", "error": "0", "size": "78789", "orig_name": "sm2019.pdf", "ext": "pdf" }, "doi": "https://www.ac.tuwien.ac.at/files/pub/smw19-position-5.pdf", "event": "The 2nd Schematic Mapping Workshop 2019", "lecturer": [ 1464 ], "location": "Vienna, Austria", "research_areas": [ "InfoVis" ], "keywords": [ "Metro Maps", "Graph Drawing", "Metaphors" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-smw-image.png", "type": "image/png", "size": 36787, "path": "Publication:wu-2019-smw", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2019-smw-paper.pdf", "type": "application/pdf", "size": 2849219, "path": "Publication:wu-2019-smw", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/", "__class": "Publication" }, { "id": "wu-2019-smwp", "type_id": "poster", "tu_id": 283325, "repositum_id": null, "title": "Aspect-Ratio-Preserved Labeling on Metro Maps", "date": "2019-04-11", "abstract": "For better readability, metro lines are often aligned along the octilinear directions. Predefined layouts, however, limit the feasibility of placing station name labels. In this paper, we present a novel approach to automating the placement of station names around a schematic network while maximally respecting its original layout as the mental map. The idea behind the proposed approach is to progressively annotate stations from congested central downtown areas to sparse rural areas by intro- ducing the sum of geodesic distances over the network to identify the proper order of stations to be annotated. Our approach elongates line segments of the network without changing their directions to spare labeling space around the station. Additional constraints are introduced to restrict the aspect ratios of the region confined by the metro network for better preservation of the mental map in the original schematic layout.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 205, "name": "wu-2019-smwp-image.png", "type": "image/png", "size": 27213, "path": "Publication:wu-2019-smwp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/wu-2019-smwp-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/wu-2019-smwp-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1625, 1626, 1676, 1627, 1580 ], "cfp": { "name": "sm2019.pdf", "type": "application/pdf", "error": "0", "size": "78789", "orig_name": "sm2019.pdf", "ext": "pdf" }, "date_from": "2019", "date_to": "2019", "doi": "https://www.ac.tuwien.ac.at/files/pub/smw19-paper-5.pdf", "event": "Schematic Mapping Workshop 2019", "research_areas": [ "InfoVis" ], "keywords": [ "Progressive Annotation", "Geodesic Distances", "Schematic Layout", "Mental Maps", "Mixed-Integer Programming" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 205, "name": "wu-2019-smwp-image.png", "type": "image/png", "size": 27213, "path": "Publication:wu-2019-smwp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/wu-2019-smwp-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/wu-2019-smwp-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "wu-2019-smwp-paper.pdf", "type": "application/pdf", "size": 401145, "path": "Publication:wu-2019-smwp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/wu-2019-smwp-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/wu-2019-smwp-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/", "__class": "Publication" }, { "id": "heinz-2019-psi", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "High-Quality Rendering of Interactive Particle Systems for Real-Time Applications", "date": "2019-04", "abstract": "Particle systems are widely used in real-time applications. This thesis presents and compares several state-of-the-art methods for rendering and simulating particle systems. In computer graphics, particle systems are used to represent fluids like water, gas-like substances like fire and smoke or effects like explosions and fireworks. In the case of water, each particle can be interpreted as one or more waterdrops. To simulate a firework, the particles can be seen as sparks, and for smoke or fire big particles can be used and blended over each other. In the context of this thesis all described techniques can be associated with either rendering or simulation. For rendering a single particle using the graphics processing unit (GPU), several methods exist. Probably the easiest would be to draw a texture onto a quad that is always looking towards the camera. This is called Billboarding and can be implemented very easily and efficiently. One drawback is that the hard edges of the drawn quad can become visible, when parts of the particle overlap with other objects in the scene. In this case the volumetric appearance of the particle can easily be destroyed. In order to avoid this, the transparency can be adapted near the region of overlap in such a way that the hard edges are smoothed out. This method is called Soft Particles and is used, because it increases the picture quality of the particle. The simulation, as the main topic of this work, can be interpreted as the approximation of a physical behavior, that can be achieved by manipulation of the data. Therefore it is about the changing, creation and deletion of particles. A raindrop-particle, as an example, is created in the sky in a cloud, then fall towards the ground, and at the ground the particle gets deleted. It is obvious that a system may contain a high number of particles in order to obtain the phenomenon to be approximated. In real-time applications, all particles should ideally be simulated at least 60 times per second, but this is not absolutely necessary in the type of simulation, that underlies this work. Therefore, an efficient method for simulation is very important. In this work three different basic methods for simulation are presented and compared. The two most important differences are the memory management and the way of computation of the simulation. While in one technique the particle data is stored in the main memory and the computation is done by the CPU, these two processes are outsourced to the GPU, when using one of the other methods. At the end of each simulation step the particles are checked against collision with other scene objects. In case of a collision the particle is reflected respectively. In order to represent transparent substances like smoke properly the particles have to be sorted and - starting with the farthest away - rendered. The easiest way would be to sort the particles according to their distance to the camera. When simulation is done on the CPU this can be easily achieved using classical sort algorithms, but when storing the particle data on the GPU other algorithms, like the Bitonic Merge Sort, have to be used. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1308, "image_height": 1308, "name": "heinz-2019-psi-image.jpg", "type": "image/jpeg", "size": 353479, "path": "Publication:heinz-2019-psi", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/heinz-2019-psi/heinz-2019-psi-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/heinz-2019-psi/heinz-2019-psi-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1528 ], "date_end": "2019-04", "date_start": "2017-12", "matrikelnr": "1426648", "supervisor": [ 848, 193 ], "research_areas": [ "Rendering" ], "keywords": [ "Particle System", "Real-time Rendering", "Particle Interaction" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1308, "image_height": 1308, "name": "heinz-2019-psi-image.jpg", "type": "image/jpeg", "size": 353479, "path": "Publication:heinz-2019-psi", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/heinz-2019-psi/heinz-2019-psi-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/heinz-2019-psi/heinz-2019-psi-image:thumb{{size}}.png" }, { "description": "Thesis (PDF)", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "heinz-2019-psi-thesis.pdf", "type": "application/pdf", "size": 12255390, "path": "Publication:heinz-2019-psi", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/heinz-2019-psi/heinz-2019-psi-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/heinz-2019-psi/heinz-2019-psi-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/heinz-2019-psi/", "__class": "Publication" }, { "id": "bernold-2019-epr", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Establishing Precision Rehabilitation: Visual Analytics for predicting the outcome of personalized rehabilitation processes", "date": "2019-04", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1916, "preview_image_height": 1070, "name": "bernold-2019-epr-.pdf", "type": "application/pdf", "size": 14511527, "path": "Publication:bernold-2019-epr", "preview_name": "bernold-2019-epr-:preview.png", "preview_type": "image/png", "preview_size": 1090868, "url": "https://www.cg.tuwien.ac.at/research/publications/2019/bernold-2019-epr/bernold-2019-epr-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/bernold-2019-epr/bernold-2019-epr-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1654 ], "co_supervisor": [ 1410 ], "date_end": "2019", "date_start": "2018", "diploma_examina": "2019-06", "matrikelnr": "01325845", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1916, "preview_image_height": 1070, "name": "bernold-2019-epr-.pdf", "type": "application/pdf", "size": 14511527, "path": "Publication:bernold-2019-epr", "preview_name": "bernold-2019-epr-:preview.png", "preview_type": "image/png", "preview_size": 1090868, "url": "https://www.cg.tuwien.ac.at/research/publications/2019/bernold-2019-epr/bernold-2019-epr-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/bernold-2019-epr/bernold-2019-epr-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/bernold-2019-epr/", "__class": "Publication" }, { "id": "samoul-2019-cnp", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Visual Comparison of NLP Pipelines", "date": "2019-04", "abstract": "Natural Language Processing (NLP) is a sub-field of artificial intelligence (AI). It enables computers to understand, process\nand analyze large amounts of unstructured natural language data (raw text). Nowadays with the new techniques of machine\nlearning, we got good performance and brings us closer to unfolding the semantic meaning of the text. However, it is far\nfrom perfect. Therefore, an alternative approach to helping humans understand a text corpus is to provide a visualization of the\ncontent. To generate such a visualization, several NLP steps are necessary to convert the raw text into features, such as weighted\nkeywords or phrases, that can be visualized. The words to be visualized and their weights strongly depend on which NLP steps\nare performed, in which order, and with which parameters. However, there is currently no standard how to set up such an\nNLP pipeline and NLP pipeline configurations vary significantly across visualizations and input texts. Our project consists of\nvisualizing high dimensional data with different pre-processing steps with a different order. To compare the results, we choose\na well-known and wide-spread overview visualization technique: word clouds. Word clouds are composed of words used in a\nparticular text or subject, in which the size of each word indicates its weight computed in the course of the NLP pipeline.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1599, "image_height": 754, "name": "samoul-2019-cnp-screenshot.jpg", "type": "image/jpeg", "size": 415531, "path": "Publication:samoul-2019-cnp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/samoul-2019-cnp-screenshot.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/samoul-2019-cnp-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1644 ], "date_end": "2019-04", "date_start": "2018-11", "matrikelnr": "11833154", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "samoul-2019-cnp-Report.pdf", "type": "application/pdf", "size": 538545, "path": "Publication:samoul-2019-cnp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/samoul-2019-cnp-Report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/samoul-2019-cnp-Report:thumb{{size}}.png" }, { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1599, "image_height": 754, "name": "samoul-2019-cnp-screenshot.jpg", "type": "image/jpeg", "size": 415531, "path": "Publication:samoul-2019-cnp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/samoul-2019-cnp-screenshot.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/samoul-2019-cnp-screenshot:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/", "__class": "Publication" }, { "id": "raidou_RO2019", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "PO-0962 Bladder changes during first week of RT for prostate cancer determine the risk of urinary toxicity", "date": "2019-04", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1444, 1410, 1670, 1568, 1569, 1671, 1672, 1445 ], "booktitle": "Radiotherapy and Oncology", "cfp": { "name": "1-s2.0-S0167814019326374-main.pdf", "type": "application/pdf", "error": "0", "size": "91275", "orig_name": "1-s2.0-S0167814019326374-main.pdf", "ext": "pdf" }, "doi": "https://doi.org/10.1016/S0167-8140(19)31382-9", "event": "ESTRO 38", "lecturer": [ 1444 ], "pages_from": "S522", "pages_to": "S523", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [ { "href": "https://www.thegreenjournal.com/article/S0167-8140(19)31382-9/fulltext", "caption": "Link", "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_RO2019/", "__class": "Publication" }, { "id": "schuetz-2019-LCO", "type_id": "poster", "tu_id": 283339, "repositum_id": null, "title": "Live Coding of a VR Render Engine in VR", "date": "2019-03-27", "abstract": "Live coding in virtual reality allows users to create and modify their surroundings through code without the need to leave the virtual reality environment. Previous work focuses on modifying the scene. We propose an application that allows developers to modify virtually everything at runtime, including the scene but also the render engine, shader code and input handling, using standard desktop IDEs through a desktop mirror.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "Modifying brush generation and rendering code at runtime in VR.", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1006, "image_height": 743, "name": "schuetz-2019-LCO-.png", "type": "image/png", "size": 460185, "path": "Publication:schuetz-2019-LCO", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-LCO/schuetz-2019-LCO-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-LCO/schuetz-2019-LCO-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1116, 193 ], "address": "http://ieeevr.org/2019/", "cfp": { "name": "cfposters_ieeevr_2019.pdf", "type": "application/pdf", "error": "0", "size": "516102", "orig_name": "cfposters_ieeevr_2019.pdf", "ext": "pdf" }, "date_from": "2019-03", "date_to": "2019-03", "doi": "https://doi.org/10.1109/VR.2019.8797760", "event": "IEEE VR 2019", "location": "Osaka", "pages_from": "1150", "pages_to": "1151", "publisher": "IEEE", "research_areas": [ "Rendering" ], "keywords": [ "virtual reality", "live coding", "VR" ], "weblinks": [ { "href": "https://github.com/m-schuetz/Fenek", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "Modifying brush generation and rendering code at runtime in VR.", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1006, "image_height": 743, "name": "schuetz-2019-LCO-.png", "type": "image/png", "size": 460185, "path": "Publication:schuetz-2019-LCO", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-LCO/schuetz-2019-LCO-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-LCO/schuetz-2019-LCO-:thumb{{size}}.png" }, { "description": "Two page poster abstract", "filetitle": "poster_abstract", "main_file": false, "use_in_gallery": false, "access": "public", "name": "schuetz-2019-LCO-poster_abstract.pdf", "type": "application/pdf", "size": 1554925, "path": "Publication:schuetz-2019-LCO", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-LCO/schuetz-2019-LCO-poster_abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-LCO/schuetz-2019-LCO-poster_abstract:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "schuetz-2019-LCO-poster.pdf", "type": "application/pdf", "size": 13220664, "path": "Publication:schuetz-2019-LCO", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-LCO/schuetz-2019-LCO-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-LCO/schuetz-2019-LCO-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-LCO/", "__class": "Publication" }, { "id": "moerth-2018-tpose", "type_id": "masterthesis", "tu_id": 284109, "repositum_id": null, "title": "Interactive Reformation of Fetal Ultrasound Data to a T-Position", "date": "2019-03-05", "abstract": "Three dimensional ultrasound images are commonly used in prenatal screening. The acquisition delivers detailed information about the skin as well as the inner organs of the fetus. Prenatal screenings in terms of growth analysis are very important to support a healthy development of the fetus. The analysis of this data involves viewing of two dimensional (2D) slices in order to take measurements or calculate the volume and weight of the fetus. These steps involve manual investigation and are dependent on the skills of the person who performs them. These measurements and calculations are very important to analyze the development of the fetus and for the birth preparation.\nUltrasound imaging is a˙ected by artifacts like speckles, noise and also of structures obstructing the regions of interest. These artifacts occur because the imaging technique is using sound waves and their echo to create images. 2D slices as used as basis for the measurement of the fetus therefore might not be the best solution. Analyzing the data in a three dimensional (3D) way would enable the viewer to have a better overview and to better distinguish between artifacts and the real data of the fetus. The growth of a fetus can be analysed by comparing standardized measurements like the crown foot length, the femur length or the derived head circumference as well as the abdominal circumference.\nStandardization is well known in many fields of medicine and is used to enable compa-rability between investigations of the same patient or between patients. Therefore we introduce a standardized way of analyzing 3D ultrasound images of fetuses. Bringing the fetus in a standardized position would enable automatized measurements by the machine and there could also be new measurements applied like the volume of specific body parts. A standardized pose would also provide possibilities to compare the re-sults of di˙erent measurements of one fetus as well as the measurements of di˙erent fetuses.\nThe novel method consists of six steps, namely the loading of the data, the preprocessing, the rigging of the model, the weighting of the data, the actual transformation called the \"Vitruvian Baby\" and at the end the analysis of the result. We tried to automatize the workflow as far as possible resulting in some manual tasks and some automatic ones. The loading of the data works with standard medical image formats and the preprocessing involves some interaction in order to get rid of the ultrasound induced artifacts. Transforming data into a specific position is a complex task which might involve a manual processing steps. In the method presented in this work one step of the transformation namely the rigging of the model, where a skeleton is placed in the data, is performed manually. The weighting as well as the transformation although are performed completely automatically resulting in a T-pose representation of the data.\nWe analysed the performance of our novel approach in several ways. We first use a phantom model which has been used as a reference already presented in a T-pose. After using seven di˙erent fetus poses of the model as input the result was an average of 79,02%voxel overlapping between the output of the method and the goal T-pose. When having a look at the similarity of the finger to finger span and the head to toe measurement we considered a value of 91,08% and 94,05% in average. The time needed for the most complex manual task was in average seven minutes. After using a phantom model of a man, we also assessed the performance of the method using a computer model of a fetus and a phantom model of a 3D ultrasound investigation. The results also look very promising.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 232, "image_height": 335, "name": "moerth-2018-tpose-image.JPG", "type": "image/jpeg", "size": 31183, "path": "Publication:moerth-2018-tpose", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/moerth-2018-tpose/moerth-2018-tpose-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/moerth-2018-tpose/moerth-2018-tpose-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1345 ], "date_end": "2019-03-05", "date_start": "2018", "matrikelnr": "01325306", "supervisor": [ 171 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 232, "image_height": 335, "name": "moerth-2018-tpose-image.JPG", "type": "image/jpeg", "size": 31183, "path": "Publication:moerth-2018-tpose", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/moerth-2018-tpose/moerth-2018-tpose-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/moerth-2018-tpose/moerth-2018-tpose-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "moerth-2018-tpose-Master Thesis.pdf", "type": "application/pdf", "size": 18441360, "path": "Publication:moerth-2018-tpose", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/moerth-2018-tpose/moerth-2018-tpose-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/moerth-2018-tpose/moerth-2018-tpose-Master Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/moerth-2018-tpose/", "__class": "Publication" }, { "id": "wu-2019-report", "type_id": "techreport", "tu_id": 283365, "repositum_id": null, "title": "From Cells to Atoms - Biological Information Visualization (in Chinese)", "date": "2019-03-01", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1263, 171 ], "number": "TR-193-02-2019-1", "open_access": "no", "research_areas": [ "BioVis", "IllVis", "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://dl.ccf.org.cn/institude/institudeDetail?id=4320599515842560&_ack=1", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2019-report-paper.pdf", "type": "application/pdf", "size": 8399742, "path": "Publication:wu-2019-report", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-report/wu-2019-report-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-report/wu-2019-report-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-report/", "__class": "Publication" }, { "id": "waldin-2019-ccm", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Cuttlefish: Color Mapping for Dynamic Multi‐Scale Visualizations", "date": "2019-03", "abstract": "Visualizations of hierarchical data can often be explored interactively. For example, in geographic visualization, there are continents, which can be subdivided into countries, states, counties and cities. Similarly, in models of viruses or bacteria at the highest level are the compartments, and below that are macromolecules, secondary structures (such as α‐helices), amino‐acids, and on the finest level atoms. Distinguishing between items can be assisted through the use of color at all levels. However, currently, there are no hierarchical and adaptive color mapping techniques for very large multi‐scale visualizations that can be explored interactively. We present a novel, multi‐scale, color‐mapping technique for adaptively adjusting the color scheme to the current view and scale. Color is treated as a resource and is smoothly redistributed. The distribution adjusts to the scale of the currently observed detail and maximizes the color range utilization given current viewing requirements. Thus, we ensure that the user is able to distinguish items on any level, even if the color is not constant for a particular feature. The coloring technique is demonstrated for a political map and a mesoscale structural model of HIV. The technique has been tested by users with expertise in structural biology and was overall well received.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Multiple color zoom levels. ", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 509, "image_height": 447, "name": "waldin-2019-ccm-teaser.png", "type": "image/png", "size": 690229, "path": "Publication:waldin-2019-ccm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/waldin-2019-ccm-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/waldin-2019-ccm-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1339, 1110, 1189, 166, 1365, 1260, 1475, 171 ], "doi": "10.1111/cgf.13611", "journal": "Computer Graphics Forum", "number": "6", "pages_from": "150", "pages_to": "164", "volume": "38", "research_areas": [ "BioVis", "IllVis", "InfoVis" ], "keywords": [ "multiscale visualization", "illustrative visualization", "molecular visualization" ], "weblinks": [ { "href": "https://onlinelibrary.wiley.com/doi/10.1111/cgf.13611", "caption": "Open Access Article in Wiley Online Library", "description": null, "main_file": 1 } ], "files": [ { "description": "Multiple color zoom levels. ", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 509, "image_height": 447, "name": "waldin-2019-ccm-teaser.png", "type": "image/png", "size": 690229, "path": "Publication:waldin-2019-ccm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/waldin-2019-ccm-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/waldin-2019-ccm-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/", "__class": "Publication" }, { "id": "ZOTTI-2016-VAA", "type_id": "inproceedings", "tu_id": 283908, "repositum_id": null, "title": "Virtual Archaeoastronomy: Stellarium for Research and Outreach", "date": "2019-03", "abstract": "In the last few years, the open-source desktop planetarium program Stellarium has become ever more popular for research and dissemination of results in Cultural Astronomy.\n\nIn this time we have added significant capabilities for applications in cultural astronomy to the program. The latest addition allows its use in a multi-screen installation running both completely automated and manually controlled setups. During the development time, also the accuracy of astronomical simulation has been greatly improved.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 222, 1093, 193, 480 ], "booktitle": "Archaeoastronomy in the Roman World (Proceedings 16th Conference of the Italian Society for Archaeoastronomy)", "date_from": "2016-11-03", "date_to": "2016-11-04", "event": "SIA 2016 (16th Conference of the Italian Society for Archaeoastronomy)", "isbn": "978-3-319-97006-6", "lecturer": [ 222 ], "location": "Milano, Italy", "pages_from": "187", "pages_to": "205", "publisher": "Springer", "research_areas": [ "Rendering" ], "keywords": [ "stellarium" ], "weblinks": [], "files": [], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ZOTTI-2016-VAA/", "__class": "Publication" }, { "id": "raidou2019_prsps", "type_id": "journalpaper", "tu_id": 283349, "repositum_id": null, "title": "Relaxing Dense Scatter Plots with Pixel-Based Mappings", "date": "2019-03", "abstract": "Scatter plots are the most commonly employed technique for the visualization of bivariate data. Despite their versatility and expressiveness in showing data aspects, such as clusters, correlations, and outliers, scatter plots face a main problem. For large and dense data, the representation suffers from clutter due to overplotting. This is often partially solved with the use of density plots. Yet, data overlap may occur in certain regions of a scatter or density plot, while other regions may be partially, or even completely empty. Adequate pixel-based techniques can be employed for effectively filling the plotting space, giving an additional notion of the numerosity of data motifs or clusters. We propose the Pixel-Relaxed Scatter Plots, a new and simple variant, to improve the display of dense scatter plots, using pixel-based, space-filling mappings. Our Pixel-Relaxed Scatter Plots make better use of the plotting canvas, while avoiding data overplotting, and optimizing space coverage and insight in the presence and size of data motifs. We have employed different methods to map scatter plot points to pixels and to visually present this mapping. We demonstrate our approach on several synthetic and realistic datasets, and we discuss the suitability of our technique for different tasks. Our conducted user evaluation shows that our Pixel-Relaxed Scatter Plots can be a useful enhancement to traditional scatter plots.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410, 166, 1451 ], "cfp": { "name": "PacificVis 2019.pdf", "type": "application/pdf", "error": "0", "size": "380233", "orig_name": "PacificVis 2019.pdf", "ext": "pdf" }, "date_from": "2019-03-18", "date_to": "2019-03-18", "doi": "10.1109/TVCG.2019.2903956", "event": "PacificVis 2019", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1410 ], "pages_from": "1", "pages_to": "12", "volume": "25", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 1548, "preview_image_height": 877, "name": "raidou2019_prsps-paper.pdf", "type": "application/pdf", "size": 5294590, "path": "Publication:raidou2019_prsps", "preview_name": "raidou2019_prsps-paper:preview.JPG", "preview_type": "image/jpeg", "preview_size": 274161, "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou2019_prsps/raidou2019_prsps-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou2019_prsps/raidou2019_prsps-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou2019_prsps/", "__class": "Publication" }, { "id": "kroesl-2019-ICthroughVR", "type_id": "inproceedings", "tu_id": 283362, "repositum_id": null, "title": "ICthroughVR: Illuminating Cataracts through Virtual Reality", "date": "2019-03", "abstract": "Vision impairments, such as cataracts, affect how many people interact with their environment, yet are rarely considered by architects and lighting designers because of a lack of design tools. To address this, we present a method to simulate vision impairments caused by cataracts in virtual reality (VR), using eye tracking for gaze-dependent effects. We conducted a user study to investigate how lighting affects visual perception for users with cataracts. Unlike past approaches, we account for the user's vision and some constraints of VR headsets, allowing for calibration of our simulation to the same level of degraded vision for all participants.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 828, "image_height": 828, "name": "kroesl-2019-ICthroughVR-image.png", "type": "image/png", "size": 700309, "path": "Publication:kroesl-2019-ICthroughVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030, 1633, 1636, 1635, 193, 1634 ], "booktitle": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces", "cfp": { "name": "IEEE VR 2019 Call for Conference Papers.pdf", "type": "application/pdf", "error": "0", "size": "226992", "orig_name": "IEEE VR 2019 Call for Conference Papers.pdf", "ext": "pdf" }, "date_from": "2019-03-23", "date_to": "2019-03-27", "doi": "10.1109/VR.2019.8798239", "event": "IEEE VR 2019, the 26th IEEE Conference on Virtual Reality and 3D User Interfaces", "lecturer": [ 1030 ], "location": "Osaka, Japan", "pages_from": "655", "pages_to": "663", "publisher": "IEEE", "research_areas": [ "Perception", "Rendering" ], "keywords": [ "vision impairments", "cataracts", "virtual reality", "user study" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 828, "image_height": 828, "name": "kroesl-2019-ICthroughVR-image.png", "type": "image/png", "size": 700309, "path": "Publication:kroesl-2019-ICthroughVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper_preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2019-ICthroughVR-paper_preprint.pdf", "type": "application/pdf", "size": 21654478, "path": "Publication:kroesl-2019-ICthroughVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-paper_preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-paper_preprint:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2019-ICthroughVR-video.mp4", "type": "video/mp4", "size": 59381889, "path": "Publication:kroesl-2019-ICthroughVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-video:video.mp4" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/", "__class": "Publication" }, { "id": "Kugler_2019", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Profiling and Optimization of Large Biomolecular Scenes", "date": "2019-03", "abstract": "Scientific visualizations and entertainment purposes demand ways to quickly render larger and larger virtual scenes. Through their highly parallel architecture, GPUs are capable of providing for that demand. But with their processing capabilities, their complexity increases too. With each new version, APIs like OpenGL provide an increasing amount of interfaces to harness the available capabilities. However, using them efficiently can be difficult for programmers and application designers. This work attempts to guide the design of such applications by describing and implementing different existing methods and variations and measuring their impact on the performance of a real-world application.\nWhile some techniques are applicable to rendering of static geometry in general, the focus lies on rendering biomolecular data as spheres using billboards.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 985, "image_height": 319, "name": "Kugler_2019-image.JPG", "type": "image/jpeg", "size": 46214, "path": "Publication:Kugler_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Kugler_2019/Kugler_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Kugler_2019/Kugler_2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1632 ], "date_end": "2019-03", "date_start": "2018", "matrikelnr": "01526144", "supervisor": [ 1285, 171 ], "research_areas": [ "BioVis", "Geometry" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 985, "image_height": 319, "name": "Kugler_2019-image.JPG", "type": "image/jpeg", "size": 46214, "path": "Publication:Kugler_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Kugler_2019/Kugler_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Kugler_2019/Kugler_2019-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kugler_2019-thesis.pdf", "type": "application/pdf", "size": 986070, "path": "Publication:Kugler_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Kugler_2019/Kugler_2019-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Kugler_2019/Kugler_2019-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Kugler_2019/", "__class": "Publication" }, { "id": "schuetz-2019-CLOD", "type_id": "inproceedings", "tu_id": 283354, "repositum_id": null, "title": "Real-Time Continuous Level of Detail Rendering of Point Clouds", "date": "2019-03", "abstract": "Real-time rendering of large point clouds requires acceleration structures that reduce the number of points drawn on screen. State-of-the art algorithms group and render points in hierarchically organized chunks with varying extent and density, which results in sudden changes of density from one level of detail to another, as well as noticeable popping artifacts when additional chunks are blended in or out. \nThese popping artifacts are especially noticeable at lower levels of detail, and consequently in virtual reality, where high performance requirements impose a reduction in detail.\n\nWe propose a continuous level-of-detail method that exhibits gradual rather than sudden changes in density. Our method continuously recreates a down-sampled vertex buffer from the full point cloud, based on camera orientation, position, and distance to the camera, in a point-wise rather than chunk-wise fashion and at speeds up to 17 million points per millisecond.\nAs a result, additional details are blended in or out in a less noticeable and significantly less irritating manner as compared to the state of the art. The improved acceptance of our method was successfully evaluated in a user study.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screenshot_1", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 961, "image_height": 878, "name": "schuetz-2019-CLOD-screenshot_1.png", "type": "image/png", "size": 870310, "path": "Publication:schuetz-2019-CLOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-screenshot_1.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-screenshot_1:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1116, 1030, 193 ], "booktitle": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces", "cfp": { "name": "cfpapers_ieeevr_2019.pdf", "type": "application/pdf", "error": "0", "size": "829256", "orig_name": "cfpapers_ieeevr_2019.pdf", "ext": "pdf" }, "date_from": "2019-03-23", "date_to": "2019-03-27", "doi": "10.1109/VR.2019.8798284", "event": "IEEE VR 2019, the 26th IEEE Conference on Virtual Reality and 3D User Interfaces", "lecturer": [ 1116 ], "location": "Osaka, Japan", "pages_from": "103", "pages_to": "110", "publisher": "IEEE", "research_areas": [ "Rendering" ], "keywords": [ "point clouds, virtual reality, VR" ], "weblinks": [ { "href": "https://github.com/m-schuetz/ieeevr_2019_clod", "caption": "Essential source code samples", "description": null, "main_file": 0 } ], "files": [ { "description": "continuous LOD subsample selected for the users current viewpoint", "filetitle": "birds_eye", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1494, "image_height": 1221, "name": "schuetz-2019-CLOD-birds_eye.png", "type": "image/png", "size": 2051540, "path": "Publication:schuetz-2019-CLOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-birds_eye.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-birds_eye:thumb{{size}}.png" }, { "description": "More uniform distribution of points in screen space, compared to staircase artifacts from discrete LOD methods.", "filetitle": "distribution", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 498, "image_height": 228, "name": "schuetz-2019-CLOD-distribution.png", "type": "image/png", "size": 94654, "path": "Publication:schuetz-2019-CLOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-distribution.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-distribution:thumb{{size}}.png" }, { "description": null, "filetitle": "paper_preprint", "main_file": false, "use_in_gallery": false, "access": "public", "name": "schuetz-2019-CLOD-paper_preprint.pdf", "type": "application/pdf", "size": 15684243, "path": "Publication:schuetz-2019-CLOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-paper_preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-paper_preprint:thumb{{size}}.png" }, { "description": null, "filetitle": "screenshot_1", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 961, "image_height": 878, "name": "schuetz-2019-CLOD-screenshot_1.png", "type": "image/png", "size": 870310, "path": "Publication:schuetz-2019-CLOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-screenshot_1.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-screenshot_1:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/", "__class": "Publication" }, { "id": "schuller_reichl-2019-avt", "type_id": "masterthesis", "tu_id": 283046, "repositum_id": null, "title": "Mapping of Realism in Rendering onto Perception of Presence in Augmented Reality", "date": "2019-03", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1725 ], "date_end": "2019", "date_start": "2017", "matrikelnr": "00825849", "supervisor": [ 378 ], "research_areas": [ "Perception", "VR" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vr" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuller_reichl-2019-avt/", "__class": "Publication" }, { "id": "Vasylevska_Khrystyna-2019-TEFVR", "type_id": "inproceedings", "tu_id": 279159, "repositum_id": null, "title": "Towards Eye-Friendly VR: How Bright Should It Be?", "date": "2019-03", "abstract": "Visual information plays an important part in the perception of the world around us. Recently, head-mounted displays (HMD) came to the consumer market and became a part of the everyday life of thousands of people. Like with the desktop screens or hand-held devices before, the public is concerned with the possible health consequences of the prolonged usage and question the adequacy of the default settings. It has been shown that the brightness and contrast of a display should be adjusted to match the external light to decrease eye strain and other symptoms. Currently, there is a noticeable mismatch in brightness between the screen and dark background of an HMD that might cause eye strain, insomnia, and other unpleasant symptoms.\n\nIn this paper, we explore the possibility to significantly lower the screen brightness in the HMD and successfully compensate for the loss of the visual information on a dimmed screen. We designed a user study to explore the connection between the screen brightness HMD and task performance, cybersickness, users’ comfort, and preferences. We have tested three levels of brightness: the default Full Brightness, the optional Night Mode and a significantly lower brightness with original content and compensated content. Our results suggest that although users still prefer the brighter setting, the HMDs can be successfully used with significantly lower screen brightness, especially if the low screen brightness is compensated", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1712, 1713, 1714, 378 ], "booktitle": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)", "cfp": { "name": "IEEE VR 2019 Call for Conference Papers.pdf", "type": "application/pdf", "error": "0", "size": "312223", "orig_name": "IEEE VR 2019 Call for Conference Papers.pdf", "ext": "pdf" }, "doi": "10.1109/VR.2019.8797752", "event": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)", "issn": "2642-5246 ", "lecturer": [ 1712 ], "location": "Osaka, Japan", "open_access": "yes", "pages_from": "1", "pages_to": "9", "publisher": "IEEE", "research_areas": [ "Perception" ], "keywords": [ "Virtual Reality", "User Study", "Perception", " Head-Mounted Display" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Vasylevska_Khrystyna-2019-TEFVR-paper.pdf", "type": "application/pdf", "size": 2620917, "path": "Publication:Vasylevska_Khrystyna-2019-TEFVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Vasylevska_Khrystyna-2019-TEFVR/Vasylevska_Khrystyna-2019-TEFVR-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Vasylevska_Khrystyna-2019-TEFVR/Vasylevska_Khrystyna-2019-TEFVR-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vr" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Vasylevska_Khrystyna-2019-TEFVR/", "__class": "Publication" }, { "id": "BOKSANSKY-2019-RTS", "type_id": "inbook", "tu_id": 283359, "repositum_id": null, "title": "Ray Traced Shadows: Maintaining Real-Time Frame Rates", "date": "2019-03", "abstract": "Efficient and accurate shadow computation is a long-standing problem in computer graphics. In real-time applications, shadows have traditionally been computed using the rasterization-based pipeline. With recent advances of graphics hardware, it is now possible to use ray tracing in real-time applications, making ray traced shadows a viable alternative to rasterization. While ray traced shadows avoid many problems inherent in rasterized shadows, tracing every shadow ray independently can become a bottleneck if the number of required rays rises, e.g., for high-resolution rendering, for scenes with multiple lights, or for area lights. Therefore, the computation should focus on image regions where shadows actually appear, in particular on the shadow boundaries.\n\nWe present a practical method for ray traced shadows in real-time applications. Our method uses the standard rasterization pipeline for resolving primary-ray visibility and ray tracing for resolving visibility of light sources. We propose an adaptive sampling algorithm for shadow rays combined with an adaptive shadowfiltering method. These two techniques allow computing high-quality shadows with a limited number of shadow rays per pixel. We evaluated our method using a recent real-time ray tracing API (DirectX Raytracing) and compare the results with shadow mapping using cascaded shadow maps.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1703, 193, 198 ], "address": "New York", "booktitle": "Ray Tracing Gems: High-Quality and Real-Time Rendering with DXR and Other APIs", "doi": "10.1007/978-1-4842-4427-2_13", "editor": "Erik Haines and Tomas Akenine-Möller", "isbn": "978-1-4842-4426-5", "open_access": "yes", "pages_from": "159", "pages_to": "182", "publisher": "Springer", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/BOKSANSKY-2019-RTS/", "__class": "Publication" }, { "id": "brument_2019_br19", "type_id": "inproceedings", "tu_id": 279441, "repositum_id": null, "title": "Virtual vs. Physical Navigation in VR: Study of Gaze and Body Segments Temporal Reorientation Behaviour", "date": "2019-03", "abstract": "This paper investigates whether the body anticipation synergies in real environments (REs) are preserved during navigation in virtual environments (VEs). Experimental studies related to the control of human locomotion in REs during curved trajectories report a top-down reorientation strategy with the reorientation of the gaze anticipating the reorientation of head, the shoulders and finally the global body motion. This anticipation behavior provides a stable reference frame to the walker to control and reorient his/her body according to the future walking direction. To assess body anticipation during navigation in VEs, we conducted an experiment where participants, wearing a head-mounted display, performed a lemniscate trajectory in a virtual environment (VE) using five different navigation techniques, including walking, virtual steering (head, hand or torso steering) and passive navigation. For the purpose of this experiment, we designed a new control law based on the power-law relation between speed and curvature during human walking. Taken together our results showed a similar ordered top-down sequence of reorientation of the gaze, head and shoulders during curved trajectories between walking in REs and in VEs (for all the evaluated techniques). However, the anticipation mechanism was significantly higher for the walking condition compared to the others. The results presented in this paper pave the way to the better understanding of the underlying mechanisms of human navigation in VEs and to the design of navigation techniques more adapted to humans.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1715, 1945, 378, 1740, 1741 ], "booktitle": "Proceedings of IEEE VR 2019 - 26th IEEE Conference on Virtual Reality and 3D User Interfaces", "cfp": { "name": "call_ieeevr.pdf", "type": "application/pdf", "error": "0", "size": "183340", "orig_name": "call_ieeevr.pdf", "ext": "pdf" }, "date_from": "2019-03", "date_to": "2019-03", "event": "Ieee Vr 2019", "lecturer": [ 1715 ], "location": "Osaka, Japan", "pages_from": "1", "pages_to": "10", "research_areas": [], "keywords": [ "virtual reality" ], "weblinks": [ { "href": "https://publik.tuwien.ac.at/files/publik_279441.pdf", "caption": "Paper link", "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/brument_2019_br19/", "__class": "Publication" }, { "id": "ohrhallinger_stefan-2018-cgf", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "FitConnect: Connecting Noisy 2D Samples by Fitted Neighborhoods", "date": "2019-02", "abstract": "We propose a parameter-free method to recover manifold connectivity in unstructured 2D point clouds with high noise in terms of the local feature size. This enables us to capture the features which emerge out of the noise. To achieve this, we extend the reconstruction algorithm HNN-Crust, which connects samples to two (noise-free) neighbors and has been proven to output a manifold for a relaxed sampling condition. Applying this condition to noisy samples by projecting their k-nearest neighborhoods onto local circular fits leads to multiple candidate neighbor pairs and thus makes connecting them consistently an NP-hard problem. To solve this efficiently, we design an algorithm that searches that solution space iteratively on different scales of k. It achieves linear time complexity in terms of point count plus quadratic time in the size of noise clusters. Our algorithm FitConnect extends HNN-Crust seamlessly to connect both samples with and without noise, performs as local as the recovered features and can output multiple open or closed piece-wise curves. Incidentally, our method simplifies the output geometry by eliminating all but a representative point from noisy clusters. Since local neighborhood fits overlap consistently, the resulting connectivity represents an ordering of the samples along a manifold. This permits us to simply blend the local fits for denoising with the locally estimated noise extent. Aside from applications like reconstructing silhouettes of noisy sensed data, this lays important groundwork to improve surface reconstruction in 3D. Our open-source algorithm is available online.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Manifold curve fitted samples with highly varying noise", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 704, "image_height": 704, "name": "ohrhallinger_stefan-2018-cgf-image.png", "type": "image/png", "size": 12741, "path": "Publication:ohrhallinger_stefan-2018-cgf", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2018-cgf/ohrhallinger_stefan-2018-cgf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2018-cgf/ohrhallinger_stefan-2018-cgf-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948, 193 ], "cfp": { "name": "SGP_2018_Poster_v5_small.pdf", "type": "application/pdf", "error": "0", "size": "748681", "orig_name": "SGP_2018_Poster_v5_small.pdf", "ext": "pdf" }, "date_from": "2018-07-07", "date_to": "2018-07-11", "doi": "10.1111/cgf.13395", "event": "Eurographics Symposium on Geometry Processing", "first_published": "2018-05-11", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 948 ], "location": "Paris, France", "number": "1", "pages_from": "126", "pages_to": "137", "volume": "38", "research_areas": [ "Geometry" ], "keywords": [ "curve fitting, noisy samples, guarantees, curve reconstruction" ], "weblinks": [ { "href": "https://github.com/stefango74/fitconnect", "caption": "Replicability Source Code", "description": null, "main_file": 1 } ], "files": [ { "description": "Manifold curve fitted samples with highly varying noise", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 704, "image_height": 704, "name": "ohrhallinger_stefan-2018-cgf-image.png", "type": "image/png", "size": 12741, "path": "Publication:ohrhallinger_stefan-2018-cgf", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2018-cgf/ohrhallinger_stefan-2018-cgf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2018-cgf/ohrhallinger_stefan-2018-cgf-image:thumb{{size}}.png" }, { "description": "preprint", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger_stefan-2018-cgf-paper.pdf", "type": "application/pdf", "size": 842370, "path": "Publication:ohrhallinger_stefan-2018-cgf", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2018-cgf/ohrhallinger_stefan-2018-cgf-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2018-cgf/ohrhallinger_stefan-2018-cgf-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2018-cgf/", "__class": "Publication" }, { "id": "PROST-2019-RTPAL", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Real-Time Photometric Area Light Approximation for Interactive Lighting Design", "date": "2019-02", "abstract": "Photometric light sources are modeled after real-world luminaires and are used in\nlighting design to accurately simulate lighting. While an accurate evaluation of their\nillumination is possible with offline global-illumination algorithms, currently used realtime\napproximations, which are required for an interactive lighting design work flow, are\nprone to errors when the light source is close to illuminated objects. This is due to the\nnon-zero dimensionality of photometric lights, which are often area or volume lights.\nIn this thesis, we present a new technique to approximate photometric area lights in\nreal time. This new technique is based on combining two sampling strategies that are\ncurrently used in game engines to approximate the illumination from diffuse area lights.\nOur technique samples the photometric area light with this combined sampling strategy\nand then computes the illumination with a cubature technique based the Delaunay\ntriangulation. To do this in real time, we implemented our method on the GPU and\ndeveloped a compact triangle data structure that enables an efficient generation of a\nDelaunay triangulation.\nThe result of this thesis is a new technique for photometric area lights that creates visually\nplausible approximations in real time, even if the light source is close to illuminated\nobjects.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1917, "image_height": 1078, "name": "PROST-2019-RTPAL-image.jpg", "type": "image/jpeg", "size": 52742, "path": "Publication:PROST-2019-RTPAL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1377 ], "date_end": "2019-03-07", "date_start": "2017-04", "matrikelnr": "01225511", "supervisor": [ 193, 659 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1917, "image_height": 1078, "name": "PROST-2019-RTPAL-image.jpg", "type": "image/jpeg", "size": 52742, "path": "Publication:PROST-2019-RTPAL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "PROST-2019-RTPAL-poster.pdf", "type": "application/pdf", "size": 894265, "path": "Publication:PROST-2019-RTPAL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "PROST-2019-RTPAL-thesis.pdf", "type": "application/pdf", "size": 15010871, "path": "Publication:PROST-2019-RTPAL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/", "__class": "Publication" }, { "id": "STEINLECHNER-2019-ICT", "type_id": "inproceedings", "tu_id": 283451, "repositum_id": null, "title": "A Novel Approach for Immediate, Interactive CT Data Visualization andEvaluation using GPU-based Segmentation and Visual Analysis", "date": "2019-02", "abstract": "CT data of industrially produced cast metal parts are often afflicted\nwith artefacts due to complex geometries ill-suited for the scanning\nprocess. Simple global threshold-based porosity detection algorithms\nusually fail to deliver meaningful results. Other adaptive methods can\nhandle image artefacts, but require long preprocessing times. This makes\nan efficient analysis workflow infeasible. We propose an alternative\napproach for analyzing and visualizing volume defects in a fully\ninteractive manner, where analyzing volumes becomes more of an\ninteractive exploration instead of time-consuming parameter guessing\ninterrupted by long processing times. Our system is based on a highly\nefficient GPU implementation of a segmentation algorithm for porosity\ndetection. The runtime is on the order of seconds for a full volume and\nparametrization is kept simple due to a single threshold parameter. A\nfully interactive user interface comprised of multiple linked views\nallows to quickly identify defects of interest, while filtering out\nartefacts even in noisy areas.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1680, "image_height": 1011, "name": "STEINLECHNER-2019-ICT-teaser.png", "type": "image/png", "size": 791896, "path": "Publication:STEINLECHNER-2019-ICT", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/STEINLECHNER-2019-ICT-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/STEINLECHNER-2019-ICT-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1387, 1640, 1641, 1642, 228, 678, 166 ], "booktitle": "International Conference on Industrial Computed Tomography (ICT) 2019", "cfp": { "name": "ICT 2019 call for papers.pdf", "type": "application/pdf", "error": "0", "size": "219852", "orig_name": "ICT 2019 call for papers.pdf", "ext": "pdf" }, "date_from": "2019-02-13", "date_to": "2019-02-15", "editor": "Simone Carmignato", "event": "International Conference on Industrial Computed Tomography (ICT) 2019", "lecturer": [ 1387 ], "location": "Padova, Italy", "pages_from": "1", "pages_to": "6", "research_areas": [ "InfoVis", "Rendering" ], "keywords": [ "CT", "GPU", "Inclusion Detection", "Interactive Visualisation", "VisualAnalysis", "Parallel Coordinates", "Volume Rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "STEINLECHNER-2019-ICT-draft.pdf", "type": "application/pdf", "size": 9584761, "path": "Publication:STEINLECHNER-2019-ICT", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/STEINLECHNER-2019-ICT-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/STEINLECHNER-2019-ICT-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1680, "image_height": 1011, "name": "STEINLECHNER-2019-ICT-teaser.png", "type": "image/png", "size": 791896, "path": "Publication:STEINLECHNER-2019-ICT", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/STEINLECHNER-2019-ICT-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/STEINLECHNER-2019-ICT-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/", "__class": "Publication" }, { "id": "unger-2019_vcp", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Visual Comparison of Organism-Specific Metabolic Pathways", "date": "2019-02", "abstract": "The Kyoto Encyclopaedia of Genes and Genomes\n(KEGG) resource is a combination of multiple databases,\ncontaining information about biochemical compounds, reactions,\npathways, genes and much more. This database\nis one of the main resources for bioinformaticians and biologists\nto gain an understanding of molecular functionality\ninside organisms. The Orthology (KO) database from\nKEGG assigns pathways and genes with identical functionality\nto the same ortholog groups (KO entries). Therefore\nit is possible to map genes onto the pathway maps\nand obtain organism-specific visualizations. KEGG offers\na web-based graph visualization to explore these pathways,\nhowever, the interaction possibilities are restricted\nand the rendering is inefficient. It is possible to visualize\norganism-specific pathways but a visual analysis tool to\ncompare ortholog groups of multiple organisms is missing.\nIn this work, we present an efficient interactive web application\nto compare ortholog groups of multiple organisms\nin the metabolic reference pathway. We introduce a graph\noverlay technique to mark the differences and similarities\nbetween multiple organisms and demonstrate it with two\nuse cases. Additionally, we compare it against an existing\npoint set membership visualization.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1117, "image_height": 742, "name": "unger-2019_vcp-screenshot.png", "type": "image/png", "size": 563486, "path": "Publication:unger-2019_vcp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1530 ], "date_end": "2019-02", "date_start": "2018-10", "matrikelnr": "01325652", "supervisor": [ 1110 ], "research_areas": [ "BioVis", "InfoVis" ], "keywords": [ "pathways", "web-based visualization" ], "weblinks": [ { "href": "https://users.cg.tuwien.ac.at/kunger/pr-pathway-exploration/", "caption": "Online tool", "description": "Best to be used with Chrome. Enter the organisms to be compared by entering them as a string like this: \"eco+hsa+mmu\" (compares E-Coli, Homo Sapiens, and Mus Musculus). ", "main_file": 0 }, { "href": "https://www.genome.jp/kegg/catalog/org_list.html", "caption": "List of KEGG organisms", "description": "List of organisms available in KEGG. ", "main_file": 0 }, { "href": "https://cescg.org/cescg_submission/visual-comparison-of-organism-specific-metabolic-pathways/", "caption": "CESCG paper", "description": "Paper presented at the Central European Seminar on Computer Graphics 2019. ", "main_file": 0 } ], "files": [ { "description": null, "filetitle": "CESCG paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "unger-2019_vcp-CESCG paper.pdf", "type": "application/pdf", "size": 4980072, "path": "Publication:unger-2019_vcp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-CESCG paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-CESCG paper:thumb{{size}}.png" }, { "description": null, "filetitle": "developer documentation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "unger-2019_vcp-developer documentation.pdf", "type": "application/pdf", "size": 524187, "path": "Publication:unger-2019_vcp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-developer documentation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-developer documentation:thumb{{size}}.png" }, { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1117, "image_height": 742, "name": "unger-2019_vcp-screenshot.png", "type": "image/png", "size": 563486, "path": "Publication:unger-2019_vcp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-screenshot:thumb{{size}}.png" }, { "description": null, "filetitle": "user documentation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "unger-2019_vcp-user documentation.pdf", "type": "application/pdf", "size": 58613, "path": "Publication:unger-2019_vcp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-user documentation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-user documentation:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/", "__class": "Publication" }, { "id": "gutekunst_2019", "type_id": "masterthesis", "tu_id": 283618, "repositum_id": null, "title": "Guided Data Cleansing of Large Connectivity Matrices", "date": "2019-01-29", "abstract": "Understanding the organization principle of the brain and its function is a continuing\nquest in neuroscience and psychiatry. Thus, understanding how the brain works, how\nit is functionally, structurally correlated as well as how the genes are expressed within the brain is one of the most important aims in neuroscience. The Biomedical Image Analysis Group at VRVis developed with the Wulf Haubensak Group at the Institute of Molecular Medicine an interactive framework that allows the real time exploration of large brain connectivity networks on multiple scales. The networks, represented as connectivity matrices, can be up to hundreds of gigabytes, and are too large to hold in\ncurrent machines’ memory. Moreover, these connectivity matrices are redundant and\nnoisy. A cleansing step to threshold noisy connections and group together similar rows\nand columns can decrease the required size and thus ease the computations in order to\nmine the matrices. However, the choice of a good threshold and similarity value is not a trivial task. This document presents a visual guided cleansing tool. The sampling is based on random sampling within the anatomical brain hierarchies on a user-defined global hierarchical level and sampling size ratio. This tool will be a step in the connectivity matrices preprocessing pipeline. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 188, "image_height": 150, "name": "gutekunst_2019-image.JPG", "type": "image/jpeg", "size": 14060, "path": "Publication:gutekunst_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/gutekunst_2019/gutekunst_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/gutekunst_2019/gutekunst_2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1631 ], "date_end": "2019-01-29", "date_start": "2018-01-10", "matrikelnr": "01637640", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 188, "image_height": 150, "name": "gutekunst_2019-image.JPG", "type": "image/jpeg", "size": 14060, "path": "Publication:gutekunst_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/gutekunst_2019/gutekunst_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/gutekunst_2019/gutekunst_2019-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "gutekunst_2019-Master thesis.pdf", "type": "application/pdf", "size": 12561549, "path": "Publication:gutekunst_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/gutekunst_2019/gutekunst_2019-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/gutekunst_2019/gutekunst_2019-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "gutekunst_2019-Poster.pdf", "type": "application/pdf", "size": 472245, "path": "Publication:gutekunst_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/gutekunst_2019/gutekunst_2019-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/gutekunst_2019/gutekunst_2019-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/gutekunst_2019/", "__class": "Publication" }, { "id": "donabauer_2019_1", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "VR-Client for Scenario-based Response Training in Disaster Management", "date": "2019-01-23", "abstract": "In times of natural disasters like floods, the fast action of domain experts saves human lives and reduces high damages of the urban infrastructure. The training of different response plans of the responsible personnel should help in making the right decisions in time critical situations. As the creation of various physical training environments takes plenty of time, the use of virtual reality (VR) is a possible alternative. In recent years, different application domains with training purpose have been shifted to make use of the new developments in the field of VR. The desired benefits are a more flexible\ngeneration of different realistic training environments with low budget and material\nresources. Additionally, the VR application can serve as a public communication tool\nto raise the sense of awareness. Based on these considerations, the aim of this work\nis to create a VR training application to steer a remote flood simulation. The goal of the application is to provide a safe and realistic environment to train the responsible personnel. Through providing different scenarios, multiple flood events can be simulated and trained. The placement of barriers through interacting with the virtual environment offers possibilities to mitigate the results of the simulated floods. An Operator-Trainee setup enables the collaborative work between experts and trainees. While the expert works as an operator with a PC client, the trainee is able to perform instructions given\nby the operator within the virtual environment. VR applications demand for high and steady frame rates as well as two high resolution images for both eyes to provide an immersive VR experience. Based on these conditions, appropriate PC hardware is needed to run a VR application in general. Additionally, high computational power is needed to perform the different flood simulations in a fast way. In order to achieve the performance requirements, the VR application is implemented within a client-server\narchitecture. The server is responsible for performing the flood simulation, while the\nclient deals with the VR-related tasks. These tasks comprise the visualization of the simulation data in VR and a fast and efficient processing of the data. In combination with a high performance rendering engine and graphic commands suitable for the given data, the desired performance can be achieved. As the feeling of immersion is highly depending on the provided frame rates, the evaluation of this first prototype is based on the achieved rendering performance. This is measured and evaluated based on two\ndifferent implementation strategies. Another important measurement is the update time of the water flow. A comparison of a CPU and a GPU implementation is presented\nwithin the evaluation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 367, "image_height": 312, "name": "donabauer_2019_1-image.PNG", "type": "image/png", "size": 237628, "path": "Publication:donabauer_2019_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1266 ], "date_end": "2019-01-23", "date_start": "2017-07-06", "matrikelnr": "01226287", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 367, "image_height": 312, "name": "donabauer_2019_1-image.PNG", "type": "image/png", "size": 237628, "path": "Publication:donabauer_2019_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "donabauer_2019_1-Master thesis.pdf", "type": "application/pdf", "size": 20661653, "path": "Publication:donabauer_2019_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "donabauer_2019_1-Poster.pdf", "type": "application/pdf", "size": 4659101, "path": "Publication:donabauer_2019_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/", "__class": "Publication" }, { "id": "Prossenitsch_2019-1", "type_id": "masterthesis", "tu_id": 283432, "repositum_id": null, "title": "Outdoor Inside-Out Linear Image Sensor Tracking", "date": "2019-01-23", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Prossenitsch_2019-1-.pdf", "type": "application/pdf", "size": 20665309, "path": "Publication:Prossenitsch_2019-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Prossenitsch_2019-1/Prossenitsch_2019-1-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Prossenitsch_2019-1/Prossenitsch_2019-1-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1732 ], "date_end": "2019", "date_start": "2017", "matrikelnr": "23.01.2019", "open_access": "yes", "supervisor": [ 378 ], "research_areas": [ "VR" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Prossenitsch_2019-1-.pdf", "type": "application/pdf", "size": 20665309, "path": "Publication:Prossenitsch_2019-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Prossenitsch_2019-1/Prossenitsch_2019-1-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Prossenitsch_2019-1/Prossenitsch_2019-1-:thumb{{size}}.png" } ], "projects_workgroups": [ "vr" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Prossenitsch_2019-1/", "__class": "Publication" }, { "id": "laager_florian-2014-daa", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Robust Registration of Range Images", "date": "2019-01-08", "abstract": "Objects are scanned in 3D by taking overlapping depth images from different perspectives, which then must be registered together to reconstruct the mesh.\n\nMost current work detects a few corresponding points by features in order to find the transform which correctly positions the depth images to each other in 3D. Due to its nature of extracting and matching only a few data, it may not select the best global correspondence, especially if there are several close matches.\n\nIt is also difficult to detect complete failure, since the quality of the guess is not measured, so often manual intervention is necessary. Usually there are multiple depth images and several serial pair-wise registrations, so any errors in the determined transform propagate.\n\nTherefore a better approach to reconsider that problem to use all of the available data and determine only overlaps within an error threshold, e.g. based on confidence from the scanner noise model. This also has applications in shape retrieval, for high-quality partial shape matching. A simplified version of that problem would be to find an overlap of two functions in 2D with the difference in their y-value thresholded in some measure", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 729, "image_height": 528, "name": "laager_florian-2014-daa-image.jpg", "type": "image/jpeg", "size": 66878, "path": "Publication:laager_florian-2014-daa", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/laager_florian-2014-daa-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/laager_florian-2014-daa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1010 ], "date_end": "2019-01-08", "date_start": "2014-06-01", "matrikelnr": "932 0525859", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "registration", "point clouds", "shape retrieval" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 729, "image_height": 528, "name": "laager_florian-2014-daa-image.jpg", "type": "image/jpeg", "size": 66878, "path": "Publication:laager_florian-2014-daa", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/laager_florian-2014-daa-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/laager_florian-2014-daa-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "laager_florian-2014-daa-thesis.pdf", "type": "application/pdf", "size": 11268958, "path": "Publication:laager_florian-2014-daa", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/laager_florian-2014-daa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/laager_florian-2014-daa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/", "__class": "Publication" }, { "id": "YOGHOURDJIAN2019", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Exploring the limits of complexity: A survey of empirical studies ongraph visualisation", "date": "2019-01-06", "abstract": "For decades, researchers in information visualisation and graph drawing\nhave focused on developing techniques for the layout and display of very\nlarge and complex networks. Experiments involving human participants\nhave also explored the readability of different styles of layout and\nrepresentations for such networks. In both bodies of literature,\nnetworks are frequently referred to as being ‘large’ or ‘complex’, yet\nthese terms are relative. From a human-centred, experiment\npoint-of-view, what constitutes ‘large’ (for example) depends on several\nfactors, such as data complexity, visual complexity, and the technology\nused. In this paper, we survey the literature on human-centred\nexperiments to understand how, in practice, different features and\ncharacteristics of node–link diagrams affect visual complexity.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "YOGHOURDJIAN2019-image.png", "type": "image/png", "size": 40040, "path": "Publication:YOGHOURDJIAN2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1618, 1619, 1620, 1621, 1622, 1623, 1464 ], "doi": "https://doi.org/10.1016/j.visinf.2018.12.006", "issn": "2468-502X", "journal": "Visual Informatics", "number": "4", "open_access": "yes", "pages_from": "264", "pages_to": "282", "volume": "2", "research_areas": [ "InfoVis" ], "keywords": [ "Graph visualisation", "Network visualisation", "node–link diagrams", "Evaluations", "Empirical studies", "Cognitive scalability" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "YOGHOURDJIAN2019-image.png", "type": "image/png", "size": 40040, "path": "Publication:YOGHOURDJIAN2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "YOGHOURDJIAN2019-paper.pdf", "type": "application/pdf", "size": 2324636, "path": "Publication:YOGHOURDJIAN2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/", "__class": "Publication" }, { "id": "Weissenboeck_2019", "type_id": "journalpaper_notalk", "tu_id": 283895, "repositum_id": null, "title": "Dynamic Volume Lines: Visual Comparison of 3D Volumes through Space-filling Curves", "date": "2019-01", "abstract": "The comparison of many members of an ensemble is difficult, tedious, and error-prone, which is aggravated by often justsubtle differences. In this paper, we introduceDynamic Volume Linesfor the interactive visual analysis and comparison of sets of 3Dvolumes. Each volume is linearized along a Hilbert space-filling curve into a 1D Hilbert line plot, which depicts the intensities over theHilbert indices. We present a nonlinear scaling of these 1D Hilbert line plots based on the intensity variations in the ensemble of 3Dvolumes, which enables a more effective use of the available screen space. The nonlinear scaling builds the basis for our interactivevisualization techniques. An interactive histogram heatmap of the intensity frequencies serves as overview visualization. When zoomingin, the frequencies are replaced by detailed 1D Hilbert line plots and optional functional boxplots. To focus on important regions of thevolume ensemble, nonlinear scaling is incorporated into the plots. An interactive scaling widget depicts the local ensemble variations.Our brushing and linking interface reveals, for example, regions with a high ensemble variation by showing the affected voxels ina 3D spatial view. We show the applicability of our concepts using two case studies on ensembles of 3D volumes resulting fromtomographic reconstruction. In the first case study, we evaluate an artificial specimen from simulated industrial 3D X-ray computedtomography (XCT). In the second case study, a real-world XCT foam specimen is investigated. Our results show thatDynamic VolumeLinescan identify regions with high local intensity variations, allowing the user to draw conclusions, for example, about the choice ofreconstruction parameters. Furthermore, it is possible to detect ring artifacts in reconstructions volumes.I", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 148, "image_height": 141, "name": "Weissenboeck_2019-image.JPG", "type": "image/jpeg", "size": 15246, "path": "Publication:Weissenboeck_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/Weissenboeck_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/Weissenboeck_2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1169, 1191, 166, 613, 611 ], "journal": "IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS", "number": "1", "open_access": "yes", "pages_from": "1040", "pages_to": "1049", "volume": "25", "research_areas": [ "BioVis" ], "keywords": [ "Ensemble data, comparative visualization, visual analysis, Hilbert curve, nonlinear scaling, X-ray computed tomography" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 148, "image_height": 141, "name": "Weissenboeck_2019-image.JPG", "type": "image/jpeg", "size": 15246, "path": "Publication:Weissenboeck_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/Weissenboeck_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/Weissenboeck_2019-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Weissenboeck_2019-Paper.pdf", "type": "application/pdf", "size": 2185242, "path": "Publication:Weissenboeck_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/Weissenboeck_2019-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/Weissenboeck_2019-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/", "__class": "Publication" }, { "id": "kouril-2018-LoL", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Labels on Levels: Labeling of Multi-Scale Multi-Instance and Crowded 3D Biological Environments", "date": "2019-01", "abstract": "Labeling is intrinsically important for exploring and understanding complex environments and models in a variety of domains. We present a method for interactive labeling of crowded 3D scenes containing very many instances of objects spanning multiple scales in size. In contrast to previous labeling methods, we target cases where many instances of dozens of types are present and where the hierarchical structure of the objects in the scene presents an opportunity to choose the most suitable level for each placed label. Our solution builds on and goes beyond labeling techniques in medical 3D visualization, cartography, and biological illustrations from books and prints. In contrast to these techniques, the main characteristics of our new technique are: 1) a novel way of labeling objects as part of a bigger structure when appropriate, 2) visual clutter reduction by labeling only representative instances for each type of an object, and a strategy of selecting those. The appropriate level of label is chosen by analyzing the scene's depth buffer and the scene objects' hierarchy tree. We address the topic of communicating the parent-children relationship between labels by employing visual hierarchy concepts adapted from graphic design. Selecting representative instances considers several criteria tailored to the character of the data and is combined with a greedy optimization approach. We demonstrate the usage of our method with models from mesoscale biology where these two characteristics-multi-scale and multi-instance-are abundant, along with the fact that these scenes are extraordinarily dense.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 580, "image_height": 416, "name": "kouril-2018-LoL-preview.png", "type": "image/png", "size": 528337, "path": "Publication:kouril-2018-LoL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-preview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-preview:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383, 1246, 1248, 1464, 1379, 1365, 1475, 166, 171 ], "cfp": { "name": "IEEE VIS 2018.pdf", "type": "application/pdf", "error": "0", "size": "91184", "orig_name": "IEEE VIS 2018.pdf", "ext": "pdf" }, "date_from": "2018-11", "date_to": "2018-03", "doi": "10.1109/TVCG.2018.2864491", "event": "IEEE VIS", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1383 ], "location": "Berlin, Germany", "note": "SciVis Best Paper Honorable Mention", "open_access": "yes", "pages_from": "977", "pages_to": "986", "volume": "25", "research_areas": [], "keywords": [ "labeling", "multi-scale data", "multi-instance data" ], "weblinks": [ { "href": "https://www.youtube.com/watch?v=zqJmJfaLiDw", "caption": "Process video", "description": "Video showing the progress of the implementation of the method described in the paper.", "main_file": 0 }, { "href": "https://vimeo.com/303245396", "caption": "Conference Talk Recording", "description": "Recording of the talk delivered at IEEE VIS 2018 in Berlin", "main_file": 1 } ], "files": [ { "description": "Conference presentation of the paper", "filetitle": "LoL-conference-presentation", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kouril-2018-LoL-LoL-conference-presentation.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 202678696, "path": "Publication:kouril-2018-LoL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-LoL-conference-presentation.pptx", "thumb_image_sizes": [] }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kouril-2018-LoL-paper.pdf", "type": "application/pdf", "size": 18362171, "path": "Publication:kouril-2018-LoL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 580, "image_height": 416, "name": "kouril-2018-LoL-preview.png", "type": "image/png", "size": 528337, "path": "Publication:kouril-2018-LoL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-preview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-preview:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1272, "image_height": 416, "name": "kouril-2018-LoL-teaser.png", "type": "image/png", "size": 1506129, "path": "Publication:kouril-2018-LoL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "Illustrare", "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/", "__class": "Publication" }, { "id": "Miao_2019", "type_id": "journalpaper_notalk", "tu_id": 272339, "repositum_id": null, "title": "Multiscale Molecular Visualization", "date": "2019-01", "abstract": "We provide a high-level survey of multiscale molecular visualization techniques, with a focus on application-domain questions, challenges, and tasks. We provide a general introduction to molecular visualization basicsand describe a number of domain-specific tasks that drive this work. These tasks, in turn, serve as the generalstructure of the following survey. First, we discuss methods that support the visual analysis of moleculardynamics simulations. We discuss, in particular, visual abstraction and temporal aggregation. In the secondpart, we survey multiscale approaches that support the design, analysis, and manipulation of DNAnanostructures and related concepts for abstraction, scale transition, scale-dependent modeling, andnavigation of the resulting abstraction spaces. In the third part of the survey, we showcase approaches thatsupport interactive exploration within large structural biology assemblies up to the size of bacterial cells.We describe fundamental rendering techniques as well as approaches for element instantiation, visibilitymanagement, visual guidance, camera control, and support of depth perception. We close the survey with abrief listing of important tools that implement many of the discussed approaches and a conclusion thatprovides some research challenges in the field.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 323, "image_height": 240, "name": "Miao_2019-image.JPG", "type": "image/jpeg", "size": 32385, "path": "Publication:Miao_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263, 1285, 1383, 935, 1605, 166, 1248, 960, 171 ], "doi": "10.1016/j.jmb.2018.09.004.", "first_published": "2018-09", "journal": "Journal of Molecular Biology", "number": "31", "open_access": "no", "pages_from": "1049", "pages_to": "1070", "volume": "6", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "molecular visualization", "molecular dynamics", "modelitics", "DNA nanotechnology", "visual abstraction" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 323, "image_height": 240, "name": "Miao_2019-image.JPG", "type": "image/jpeg", "size": 32385, "path": "Publication:Miao_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Miao_2019-Paper.pdf", "type": "application/pdf", "size": 6728324, "path": "Publication:Miao_2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/", "__class": "Publication" }, { "id": "hromniak-2019-vcn", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visual Comparison of Natural Language Processing Pipelines", "date": "2019-01", "abstract": "Natural Language Processing comprises a variety of operations that can be applied on\nraw text to extract features. The sequence of operations is called NLP pipeline. However,\nthe sequence and parameters of these individual operations differ between applications.\nIn each step of the ongoing sequence, a single process is performed with a specialized task.\nSuch a task can be the determination of the end of sentences or the removal of so-called\nstop words. There is no best-practice which combination is most effective and accurate\nto determine the descriptive features (key words) of a single document. The goal of this\nbachelor thesis is to compute the features of different variations of NLP pipelines and\nvisualize them as basic word clouds. It is also important to know how the resulting word\ncloud of each pipeline is affected by varying the order of certain steps, adding steps or\nremoving steps. The presented interface gives an overview of performance and similarity\nvalues of each computed pipeline.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 512, "image_height": 486, "name": "hromniak-2019-vcn-screenshot.png", "type": "image/png", "size": 37562, "path": "Publication:hromniak-2019-vcn", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/hromniak-2019-vcn-screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/hromniak-2019-vcn-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1556 ], "date_end": "2019-01", "date_start": "2018-04", "matrikelnr": "1425731", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": { "1": { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 512, "image_height": 486, "name": "hromniak-2019-vcn-screenshot.png", "type": "image/png", "size": 37562, "path": "Publication:hromniak-2019-vcn", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/hromniak-2019-vcn-screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/hromniak-2019-vcn-screenshot:thumb{{size}}.png" }, "2": { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "hromniak-2019-vcn-thesis.pdf", "type": "application/pdf", "size": 1302404, "path": "Publication:hromniak-2019-vcn", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/hromniak-2019-vcn-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/hromniak-2019-vcn-thesis:thumb{{size}}.png" } }, "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/", "__class": "Publication" }, { "id": "scholz_2017_bac", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Tile-Based Procedural Terrain Generation", "date": "2019-01", "abstract": "In recent years, procedural content generation became a valuable tool to create virtual\nexperiences. In a multitude of computer graphics applications, it aids designers to\ngenerate vast, detailed worlds. Previous methods for procedural content generation, for\nexample, terrain generation, only cover certain distinct domains where highly specialized\nalgorithms are used. These specialized algorithms can only be configured by programmers\nor artists with a technical background. With a new approach to procedural generation,\ncalled Model Synthesis, it is possible to generate a variety of content, like textures or\nmodels with a general purpose algorithm that can be configured by users without domainspecific\nknowledge of grammars or logical expressions. In this thesis, a proof-of-concept\nimplementation is created to show how this new algorithmic approach can be utilized\nto generate infinite terrains. A widely used Model Synthesis algorithm named Wave\nFunction Collapse is incorporated into a system providing the complete pipeline needed\nfor the use in a production environment. This pipeline starts with processing of the\ninput: three-dimensional blocks of geometry called tiles. In the terrain generation, they\nare placed in a lattice such that their geometry matches with the neighboring ones. To\ncreate this matching information, the developed system analyzes the geometry of the tiles\nto generate neighborhood constraints. The terrain generator then uses this information\nto solve small patches of terrain with instances of the Wave Function Collapse algorithm.\nMerging these patches to an arbitrary large terrain that can be extended on runtime is\nalso achieved with the developed system.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 1024, "name": "scholz_2017_bac-.png", "type": "image/png", "size": 905372, "path": "Publication:scholz_2017_bac", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/scholz_2017_bac/scholz_2017_bac-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/scholz_2017_bac/scholz_2017_bac-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1616 ], "date_end": "2019-01", "date_start": "2017-12", "matrikelnr": "01527434", "note": "1", "supervisor": [ 1120 ], "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "procedural modelling", "model synthesis", "terrain generation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 1024, "name": "scholz_2017_bac-.png", "type": "image/png", "size": 905372, "path": "Publication:scholz_2017_bac", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/scholz_2017_bac/scholz_2017_bac-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/scholz_2017_bac/scholz_2017_bac-:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "scholz_2017_bac-thesis.pdf", "type": "application/pdf", "size": 13279301, "path": "Publication:scholz_2017_bac", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/scholz_2017_bac/scholz_2017_bac-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/scholz_2017_bac/scholz_2017_bac-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/scholz_2017_bac/", "__class": "Publication" }, { "id": "klein_2019_MSA_Poster", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "A Multi-Scale Animation Framework for Biological Fibrous Structures", "date": "2019", "abstract": "Fibrous structures are ubiquitous in cell biology and play essential structural and functional roles in the life cycle of a cell. They are long polymers, such as DNA carrying genetic information, or filaments forming the cytoskeleton, crucial for cell division and maintaining the cell shape. In order to disseminate new findings of such structures to peers or a general audience, animated 3D models of these structures have to be created, as they are too small to be imaged with microscopes. However, this is a tedious task carried out by scientific animators, who manually create expressive visual representations of biological phenomena. In this work, we present a novel concept which simplifies the process of animating multi-scale procedural models of biological fibrous structures. In contrast with existing work in the domain of molecular visualization, our approach can also capture dynamics, which are important to show when communicating biological processes.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 900, "image_height": 1269, "name": "klein_2019_MSA_Poster-image.jpg", "type": "image/jpeg", "size": 642687, "path": "Publication:klein_2019_MSA_Poster", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/klein_2019_MSA_Poster-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/klein_2019_MSA_Poster-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1285, 171, 935 ], "doi": "https://doi.org/10.2312/eurp.20191149", "event": "EuroVis 2019", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "klein_2019_MSA_Poster-.pdf", "type": "application/pdf", "size": 87502421, "path": "Publication:klein_2019_MSA_Poster", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/klein_2019_MSA_Poster-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/klein_2019_MSA_Poster-:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 900, "image_height": 1269, "name": "klein_2019_MSA_Poster-image.jpg", "type": "image/jpeg", "size": 642687, "path": "Publication:klein_2019_MSA_Poster", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/klein_2019_MSA_Poster-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/klein_2019_MSA_Poster-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/", "__class": "Publication" }, { "id": "manylands_award", "type_id": "unknown", "tu_id": null, "repositum_id": null, "title": "EG VCBM 2019 Image Contest Award, people's choice—ManyLands: A Journey Across 4D Phase Space of Biological Systems", "date": "2019", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image 2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 11693, "image_height": 8163, "name": "manylands_award-Image 2.png", "type": "image/png", "size": 5379688, "path": "Publication:manylands_award", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/manylands_award/manylands_award-Image 2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/manylands_award/manylands_award-Image 2:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1170, 1692, 418, 817, 869, 166, 1410 ], "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image 1", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 4939, "image_height": 2158, "name": "manylands_award-Image 1.png", "type": "image/png", "size": 1836064, "path": "Publication:manylands_award", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/manylands_award/manylands_award-Image 1.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/manylands_award/manylands_award-Image 1:thumb{{size}}.png" }, { "description": null, "filetitle": "Image 2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 11693, "image_height": 8163, "name": "manylands_award-Image 2.png", "type": "image/png", "size": 5379688, "path": "Publication:manylands_award", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/manylands_award/manylands_award-Image 2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/manylands_award/manylands_award-Image 2:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/manylands_award/", "__class": "Publication" }, { "id": "ohrhallinger_stefan-2019-xms", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2019", "date": "2019", "abstract": "See right for correct solution of our connect-the-dots game :-)\nOf course, we not only reconstruct members of our institute but also\nhighly noisy point clouds, additionally denoise the reconstruction,\nand specify the minimum number of samples required for that.\nEduard Gröller\nSee here for the mystery present in the crib: youtu.be/-oVwXaaJNtY\n\nDie Auflösung unseres Punkte-verbinden-Spiels ist hier rechts :-)\nWir rekonstruieren nicht nur Institutsmitglieder, sondern auch\nstark verrauschte Punktewolken, entfernen das Rauschen\nund berechnen die Mindestanzahl der benötigten Messpunkte.\nHier ist das Geschenk in der Krippe zu sehen: youtu.be/-oVwXaaJNtY", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1368, "image_height": 975, "name": "ohrhallinger_stefan-2019-xms-image.png", "type": "image/png", "size": 701936, "path": "Publication:ohrhallinger_stefan-2019-xms", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/ohrhallinger_stefan-2019-xms-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/ohrhallinger_stefan-2019-xms-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948, 1013 ], "research_areas": [ "Geometry" ], "keywords": [ "curve reconstruction", "sampling" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1368, "image_height": 975, "name": "ohrhallinger_stefan-2019-xms-image.png", "type": "image/png", "size": 701936, "path": "Publication:ohrhallinger_stefan-2019-xms", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/ohrhallinger_stefan-2019-xms-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/ohrhallinger_stefan-2019-xms-image:thumb{{size}}.png" }, { "description": null, "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger_stefan-2019-xms-pdf.pdf", "type": "application/pdf", "size": 1274436, "path": "Publication:ohrhallinger_stefan-2019-xms", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/ohrhallinger_stefan-2019-xms-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/ohrhallinger_stefan-2019-xms-pdf:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/", "__class": "Publication" }, { "id": "podkosova-2019-MVR", "type_id": "phdthesis", "tu_id": 278458, "repositum_id": null, "title": "Walkable Multi-User VR: Effects of Physical and Virtual Colocation", "date": "2019", "abstract": "The research presented in this dissertation focuses on multi-user VR, where multiple\n immersed users navigate the virtual world by physically walking in a large tracking area.\n In such a setup, different combinations of user colocation within the physical and the\n virtual space are possible. We consider a setup to be multi-user if at least one of these\n two spaces is shared. The dissertation starts with the classification of combinations of\n physical and virtual colocation. Four such combinations are defined: colocated shared VR,\n colocated non-shared VR, distributed shared VR and shared VR with mixed colocation.\n The characteristics of each of these four setups are discussed and the resulting problems\n and research questions outlined.\n The dissertation continues with the description of ImmersiveDeck - a large-scale multi-user\n VR platform that enables navigation by walking and natural interaction. Then, four\n experiments on multi-user walkable VR developed with the use of ImmersiveDeck are\n described.\n The first two experiments are set in colocated non-shared VR where walking users share\n a tracking space while being immersed into separate virtual worlds. We investigate users´\n mutual awareness in this setup and explore methods of preventing mutual collisions\n between walking users. The following two experiments study shared VR scenarios in\n situations of varied physical colocation. We investigate the effects that different modes\n of physical colocation have on locomotion, collision avoidance and proxemics patterns\n exhibited by walking users. The sense of copresence and social presence within the virtual\n world reported by users is investigated as well.\n The experiments in the colocated non-shared VR setup show that HMD-based VR can\n produce immersion so strong that users do not notice others being present in their\n immediate proximity, thus making collision prevention the task of utmost importance. In\n our proposed method of displaying notification avatars to prevent potential imminent\n collisions between colocated users, the suitability of a particular type of notification avatar\n was found to be dependent on the type of scenario experienced by users. The general\n result of the experiments in shared VR is that physical colocation affects locomotor and\n proxemics behavior of users as well as their subjective experience in terms of copresence.\n In particular, users are more cautious about possible collisions and more careful in their\n collision avoidance behavior in the colocated setup compared to the real environment. In\n the distributed setup, conventional collision avoidance is often abandoned.\n vi", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1945 ], "duration": "7", "open_access": "no", "rigorosum": "2019-02-08", "supervisor": [ 378 ], "research_areas": [], "keywords": [ "virtual reality", "multi-user VR" ], "weblinks": [ { "href": "https://publik.tuwien.ac.at/files/publik_278458.pdf", "caption": "Paper link", "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/podkosova-2019-MVR/", "__class": "Publication" }, { "id": "wu-2018-prague", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Progressive Annotation of Schematic Railway Maps", "date": "2018-12-05", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464 ], "event": "Czech Technical University", "location": "Czech Technical University", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-prague/", "__class": "Publication" }, { "id": "wu-2018-shonan", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Lost in Translation: Alignment of Mental Representations for Visual Analytics, Reimagining the Mental Map and Drawing Stability (NII Shonan Meeting Seminar 127)", "date": "2018-12", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1619, 1680, 1681, 1682, 1683, 1684, 1464 ], "number": "TR-193-02-2018-1", "open_access": "yes", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2018-shonan-paper.pdf", "type": "application/pdf", "size": 1672636, "path": "Publication:wu-2018-shonan", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-shonan/wu-2018-shonan-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-shonan/wu-2018-shonan-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-shonan/", "__class": "Publication" }, { "id": "dvdkouril_xmas_card_2018", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2018", "date": "2018-12", "abstract": "In this Christmas card we introduce a new way of research physicalization. We turned our recent papers into gingerbread cookies!\nOur cookies feature motifs from visualization of multiscale DNA nanostructures, Euler diagrams of expanded queries, levels of expanded bladders due to Glühwein consumption, beautiful smiles thanks to augmented reality, and finally several new technologies for biology communication.\n\nAuf dieser Weihnachtskarte zeigen wir neuartige Forschung im Bereich Physikalisierung. Wir verwandelten unsere aktuellen Publikationen in Lebkuchen.\nUnsere Kekse repräsentieren die multiskalare Visualisierung von DNA Nanostrukturen, Euler Diagramme von erweiterten Such-Abfragen, Pegel von expandierten Harnblasen nach Glühwein-Konsum, durch Augmented Reality verursachtes Lächeln und letztlich mehrere neue Technologien für die Kommunikation von Biologiewissen.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "X-mas card front", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2275, "image_height": 1587, "name": "dvdkouril_xmas_card_2018-X-mas card front.png", "type": "image/png", "size": 7236788, "path": "Publication:dvdkouril_xmas_card_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card front.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card front:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383, 1615 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "X-mas card front", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2275, "image_height": 1587, "name": "dvdkouril_xmas_card_2018-X-mas card front.png", "type": "image/png", "size": 7236788, "path": "Publication:dvdkouril_xmas_card_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card front.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card front:thumb{{size}}.png" }, { "description": null, "filetitle": "X-mas card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "dvdkouril_xmas_card_2018-X-mas card.pdf", "type": "application/pdf", "size": 62700677, "path": "Publication:dvdkouril_xmas_card_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/", "__class": "Publication" }, { "id": "themmer-2018-fbx", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Definition of a Workflow to Import FBX Models in Unity3D at Run-Time While Retaining Material Properties for Various Shader Types", "date": "2018-11-30", "abstract": "This bachelor thesis can be divided into two sequential parts. The first part examines physically-based shader analyses their functionality. In this context, shader were studied in general, while discussing core elements like the rendering equation and the graphics pipeline. Physically-based shader were subsequently brought to close attention. In this step, the study deals with various real life phenomenons, that occur in reality and were successfully implemented in computer graphics. For this purpose, the BRDF (Bidirectional Reflection Distribution Function) was explained theoretically and analysed mathematically. The second part of this thesis covers the import of FBX files into the game engine Unity3D. The goal of this chapter is to modify the import process to the extend that material information won’t get lost. When importing FBX files into Unity3D, textures have to be assigned to Unity materials by default. Therefore, the Autodesk API is used to examine FBX files and gain necessary information regarding textures and materials. The thesis covers the use-case of uploading FBX files to a server, analysing these files, generating Unity files in a native format (AssetBundles) with correct material information and storing them into a database. A client, that synchronises itself with the database during run-time and loading these models into a visual scene was also implemented. In this context, the process of modeling 3D objects, including materials and textures is covered as well. The workflow was implemented as a network application in order to outsource the conversion process and therefore substantially decrease the consumption of computational power. The workflow defines necessary steps, to automate the assignment of textures to Unity materials. A solution for the use-case of including FBX files into unity applications during run-time is hereby presented.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 1024, "name": "themmer-2018-fbx-image.png", "type": "image/png", "size": 736332, "path": "Publication:themmer-2018-fbx", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/themmer-2018-fbx-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/themmer-2018-fbx-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1550 ], "date_end": "2018-11-30", "date_start": "2018-03", "matrikelnr": "0929245", "supervisor": [ 848, 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": { "3": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 1024, "name": "themmer-2018-fbx-image.png", "type": "image/png", "size": 736332, "path": "Publication:themmer-2018-fbx", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/themmer-2018-fbx-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/themmer-2018-fbx-image:thumb{{size}}.png" }, "4": { "description": "Thesis (PDF)", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "themmer-2018-fbx-thesis.pdf", "type": "application/pdf", "size": 7101661, "path": "Publication:themmer-2018-fbx", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/themmer-2018-fbx-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/themmer-2018-fbx-thesis:thumb{{size}}.png" } }, "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/", "__class": "Publication" }, { "id": "Tucek_2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "INTRA SPACE Agent An Agent-Based Architecture for an Artistic Real-Time Installation", "date": "2018-11-29", "abstract": "This work describes the processes involved in developing and embedding an agent\nsystem into an artistic real-time installation. The agent system would be responsible for controlling virtual figures on a screen, which interact with users of the installation. It was necessary to develop agents which displayed behavior pre-defined in stories designed by the project team, as well as to ensure that such agents acted in a way that was both\nwell received by visitors, while also stimulating interaction in a way that allowed the project team to conduct research on the interactions between humans and nonhumans. The agent system was implemented using Jason, a Java-based interpreter of the agentprogramming\nlanguage AgentSpeak. Over the course of the project, various agent scenarios were developed, with differing ways of implementation. An iterative process\nwas used for development and regular meetings with project members were instated, to discuss progress and ideas, while utilizing visualizations to aid communication. Behavior of developed agents was plagued by various problems, from being too reliant on reactions towards user behavior, to not interacting enough with active users. Various approaches\nto such problems were tried out, discussed, and documented. During the final installation, agents with indeterministic and emergent behavior were employed. Furthermore, agents were focused on both pursuing their own goals as well as\nconstantly paying attention to visitor behavior. This allowed users to realize agents as a social presence and interact with them in a way that was both novel and natural. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 343, "image_height": 296, "name": "Tucek_2018-image.PNG", "type": "image/png", "size": 10823, "path": "Publication:Tucek_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/Tucek_2018-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/Tucek_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1534 ], "date_end": "2018-11-29", "date_start": "2016-08-15", "matrikelnr": "01325775 ", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "Jason; Agent System; Human-Agent Interaction; Real-Time; Art " ], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Tucek_2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 9342466, "path": "Publication:Tucek_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/Tucek_2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/Tucek_2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 343, "image_height": 296, "name": "Tucek_2018-image.PNG", "type": "image/png", "size": 10823, "path": "Publication:Tucek_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/Tucek_2018-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/Tucek_2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/", "__class": "Publication" }, { "id": "mindek-tedx", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "TEDxDonauinsel: Scientific visualization meets biology", "date": "2018-11-29", "abstract": "https://www.youtube.com/watch?v=bz_99kE00WM", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 720, "image_height": 720, "name": "mindek-tedx-Teaser.png", "type": "image/png", "size": 661492, "path": "Publication:mindek-tedx", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-tedx/mindek-tedx-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-tedx/mindek-tedx-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935 ], "date_from": "2018-11-29", "event": "TEDxDonauinsel", "location": "International Atomic Energy Agency (IAEA)", "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://tedxdonauinsel.at/sciencenotfiction/", "caption": "TEDxDonainsel Science, not Fiction", "description": null, "main_file": 0 }, { "href": "https://www.youtube.com/watch?v=bz_99kE00WM", "caption": "Youtube video of the talk", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "Slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "mindek-tedx-Slides.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 84919174, "path": "Publication:mindek-tedx", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-tedx/mindek-tedx-Slides.pptx", "thumb_image_sizes": [] }, { "description": null, "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 720, "image_height": 720, "name": "mindek-tedx-Teaser.png", "type": "image/png", "size": 661492, "path": "Publication:mindek-tedx", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-tedx/mindek-tedx-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-tedx/mindek-tedx-Teaser:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-tedx/", "__class": "Publication" }, { "id": "schuh-2018-mesh-blending", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Fast Virtual Character Modelling with Mesh Fusion", "date": "2018-11-12", "abstract": "3D models are used in many areas, from medical applications to the development of\ngames. Especially in games and animated movies a lot of 3D models are required and\ncreated and the creation process of these is very time consuming. This is one point,\nwhich makes creating games or animated movies very expensive and time-consuming in\ngeneral. To create 3D models faster, artists could be supported by algorithms, which assist them in their workflow. The idea is to reuse parts of existing models and fuse them together with the help of algorithms. Thus in sum a huge amount of time could be saved in the creation of 3D models. We present an overview of existing blending techniques and their advantages and disadvantages. We create our own algorithms, which we use to evaluate how much time artists can save. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 212, "image_height": 190, "name": "schuh-2018-mesh-blending-image.PNG", "type": "image/png", "size": 43814, "path": "Publication:schuh-2018-mesh-blending", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/schuh-2018-mesh-blending-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/schuh-2018-mesh-blending-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1557 ], "date_end": "2018-11-12", "date_start": "2018-04-19", "matrikelnr": "e1526991", "supervisor": [ 166 ], "research_areas": [ "Geometry" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "schuh-2018-mesh-blending-Bachelor Thesis.pdf", "type": "application/pdf", "size": 2891650, "path": "Publication:schuh-2018-mesh-blending", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/schuh-2018-mesh-blending-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/schuh-2018-mesh-blending-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 212, "image_height": 190, "name": "schuh-2018-mesh-blending-image.PNG", "type": "image/png", "size": 43814, "path": "Publication:schuh-2018-mesh-blending", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/schuh-2018-mesh-blending-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/schuh-2018-mesh-blending-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/", "__class": "Publication" }, { "id": "mindek-2018-fyi", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Molecular Visualization", "date": "2018-11-10", "abstract": "Molecular visualization allows us to display nanoworlds of bacteria and viruses, which would otherwise be impossible to show at such level of fidelity", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 559, "image_height": 558, "name": "mindek-2018-fyi-teaser.png", "type": "image/png", "size": 197987, "path": "Publication:mindek-2018-fyi", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935 ], "event": "FYI: Informationsdesign Konferenz Wien", "lecturer": [ 935 ], "location": "Nordbahn-Halle, Vienna", "open_access": "yes", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "molecular visualization", "biology", "education" ], "weblinks": [ { "href": "https://www.youtube.com/watch?v=ROzwq5k5d9Q", "caption": "video of the talk", "description": null, "main_file": 0 }, { "href": "https://fyi-conference.com/", "caption": "conference website", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "mindek-2018-fyi-Slides.pdf", "type": "application/pdf", "size": 12247817, "path": "Publication:mindek-2018-fyi", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-Slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-Slides:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 559, "image_height": 558, "name": "mindek-2018-fyi-teaser.png", "type": "image/png", "size": 197987, "path": "Publication:mindek-2018-fyi", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/", "__class": "Publication" }, { "id": "Melo_2018_11", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Transfer Function Widget for Tri-Modal Volume Exploration", "date": "2018-11-06", "abstract": "Volumetric visualization is an essential tool in medical studies and materials science, as it enables the analysis and exploration of the inner structure of objects. With the introduction of new equipment and techniques, the datasets become more complex, making it an increasingly common task in material analysis to handle three modalities at once. For instance, a single industrial computed-tomography scan of an object can\noutput absorption contrast, differential phase contrast and dark-field contrast volumes (modalities). However, modern software is falling behind with these advancements, as they still do not provide dedicated tools for this use. This thesis aims to test the feasibility of a transfer function user interface for tri-modal datasets, with a focus on usability, taking\ninto consideration the needs of material analysis experts. The development process (from the initial concepts to a software prototype) is described, and the resulting tool, developed as a module for open_iA (a visual analysis and volumetric processing application), is presented. It uses the standard 1D color-opacity transfer function for each modality together with a barycentric coordinates method to blend the three modalities together.\nFor the modalities of an industrial computed-tomography dataset (absorption contrast, differential phase contrast and dark-field contrast), the tool can successfully accelerate and facilitate volume exploration.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 248, "image_height": 247, "name": "Melo_2018_11-image.PNG", "type": "image/png", "size": 27476, "path": "Publication:Melo_2018_11", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1610 ], "date_end": "2018-11-06", "date_start": "2018-03-01", "matrikelnr": "01429462", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Melo_2018_11-Bachelor Thesis.pdf", "type": "application/pdf", "size": 15012365, "path": "Publication:Melo_2018_11", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 248, "image_height": 247, "name": "Melo_2018_11-image.PNG", "type": "image/png", "size": 27476, "path": "Publication:Melo_2018_11", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/", "__class": "Publication" }, { "id": "sbardellati_ba_2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Exploded Views for Presenting DNA Nano-Structures", "date": "2018-11-02", "abstract": "As the complexity of computer-aided-designed DNA nano-structures progresses day by day, the presentation of these structures is becoming complex. To tackle the main presentation problem, visual occlusion of structure components, we developed a semiautomated method to create effective interactive exploded views for DNA nano-structures, especially for educational purposes. This is done by displacing selected components of a DNA nano-structure based on the four key parameters explosion direction, distance,\norder and component selection. In this thesis we describe three different strategies of choosing the explosion direction, with two of them being defined by the object structure and one by the user. For the two structure defined approaches a method to calculate the explosion distance and three different explosion orders is described. The explosion components for these two approaches are defined by the hierarchical structure of the dataset, that describes the object. The user defined approach lets the user decide on the explosion distance and features one possible explosion order. It also lets the user select the explosion components arbitrarily. The developed application additionally features the possibility to animate an explosion and to use easing in these animations. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 227, "image_height": 235, "name": "sbardellati_ba_2018-image.PNG", "type": "image/png", "size": 82795, "path": "Publication:sbardellati_ba_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1555 ], "date_end": "2018-11-02", "date_start": "2018-03-19", "matrikelnr": "01526262", "supervisor": [ 171, 1263 ], "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "sbardellati_ba_2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 12130913, "path": "Publication:sbardellati_ba_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 227, "image_height": 235, "name": "sbardellati_ba_2018-image.PNG", "type": "image/png", "size": 82795, "path": "Publication:sbardellati_ba_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-image:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/", "__class": "Publication" }, { "id": "wu-2018-dagstuhl", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Geometry and Data Representation", "date": "2018-10-31", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464 ], "event": "Dagstuhl Seminar 18442", "location": "Dagstuhl Seminar 18442", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-dagstuhl/", "__class": "Publication" }, { "id": "GRIESHOFER-2018-GOS", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Game Optimization and Steam Publishing for Swarmlake", "date": "2018-10-29", "abstract": "Video games are complex pieces of software which require a certain\namount of prototyping and iteration to create the intended experience.\nThey are also real-time applications and need to be performant\nto run at the desired speed.\nMost software architecture is about creating more flexible code and\ntherefore making fewer assumptions which allow for faster prototyping\nand iteration time. However, optimizing is all about making\nassumptions and knowing limitations to be able to improve efficiency.\nSince optimal optimization is usually more natural to guarantee after\nmaking a well-designed game than vice versa, keeping the code\nflexible until the end is a valid compromise. Knowing game optimization\npatterns beforehand can be useful to make sure only the\nleast amount of code needs to be rewritten at the end of a game’s\ndevelopment cycle.\nSuccessfully selling a product such as a video game also requires\nmarketing and distribution. One of the most influential platform to\ndistribute computer games on PC is Steam. Knowing more about\nthe target platform a game releases on can make it more likely to\nmake the optimal decisions in that process.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image1", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1080, "name": "GRIESHOFER-2018-GOS-image1.jpg", "type": "image/jpeg", "size": 665090, "path": "Publication:GRIESHOFER-2018-GOS", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/GRIESHOFER-2018-GOS-image1.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/GRIESHOFER-2018-GOS-image1:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1606 ], "date_end": "2018-10-29", "date_start": "2017-04-12", "matrikelnr": "1054878", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "computer games" ], "weblinks": [ { "href": "https://store.steampowered.com/app/793350/Swarmlake/", "caption": "Game on Steam", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image1", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1080, "name": "GRIESHOFER-2018-GOS-image1.jpg", "type": "image/jpeg", "size": 665090, "path": "Publication:GRIESHOFER-2018-GOS", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/GRIESHOFER-2018-GOS-image1.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/GRIESHOFER-2018-GOS-image1:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "GRIESHOFER-2018-GOS-thesis.pdf", "type": "application/pdf", "size": 6584323, "path": "Publication:GRIESHOFER-2018-GOS", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/GRIESHOFER-2018-GOS-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/GRIESHOFER-2018-GOS-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/", "__class": "Publication" }, { "id": "Vasileva-2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Maps for Visualizing Optimal Route Planning Strategy", "date": "2018-10-26", "abstract": "There are many situations in our everyday life like events, concerts, landmarks, attraction parks, etc. that often require from visitors to line-up in front of long queues and thus spend hours in waiting. An example of that are the Disneyland amusement parks. They are all very popular and attract a significant number of people every day. For this reason, the lining-up in front of attractions may cost much time – even up to a couple of hours. Despite that, the Disneyland parks are visited by millions of people every year [sta].\nSo to avoid so much waiting they need to make a plan in advance – when and in which\norder to visit the wanted attractions. However, to make such a plan, it could be very time consuming, difficult and even unpleasant, because many prerequisites need to be considered in advance. Having the main problems and annoyances described, the goal of this thesis is to create an assisting application. Its purpose is to give the visitors the possibility to create their own plan for their visit to Tokyo Disneyland. It contains two main assisting components. Firstly, an optimization algorithm calculating an optimized\nroute of the chosen attractions as well as a route visualization for an easy attraction finding. Both will reduce the time for lining-up and pre-planning. Such a technique will make it easier for visitors to see as many attractions as possible for a single day and thus, make the most of their visit.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 192, "image_height": 337, "name": "Vasileva-2018-image.PNG", "type": "image/png", "size": 95697, "path": "Publication:Vasileva-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/Vasileva-2018-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/Vasileva-2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1593 ], "date_end": "2018-10-26", "date_start": "2018-05-23", "matrikelnr": "01426939", "supervisor": [ 1464 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Vasileva-2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 7087860, "path": "Publication:Vasileva-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/Vasileva-2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/Vasileva-2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 192, "image_height": 337, "name": "Vasileva-2018-image.PNG", "type": "image/png", "size": 95697, "path": "Publication:Vasileva-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/Vasileva-2018-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/Vasileva-2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/", "__class": "Publication" }, { "id": "Niedermayer_2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Real-Time Shadows for Large-Scale Geospatial Visualization", "date": "2018-10-23", "abstract": "A flood is an often unforeseen event, which can happen at any time and causes enormous\ndamage. Simulations are used to predict risks and respond to them early, like in the decision-support system Visdom. The real-time application is useful and offers many possibilities, e.g., simulations of the rising of the river over a certain time or the building of barriers. However, there is a lack of a true-to-life representation of the entire scene, which is important, as the visualization of the results must be understandable also for non-experts, such as decision-makers or the general public. More precisely, shadows are missing in the application so far, although they are particularly well suited to recognize\nrelations of objects to each other.\nThis bachelor thesis covers the implementation of shadows in Visdom to increase the realism of the scene. This is very complex for such big scenes on city or even country scale and requires many self-developed strategies, as there are no ready-made solutions.\nWe present an adaptation of the cascaded shadow maps algorithm, which provides a good way to subdivide the scene for better results in shadow quality. Further improvements are presented to increase the quality of the resulting shadows, as well as avoid occurring artifacts. The result of this work is a flexible visualization of soft shadows for a variety of different-sized scenes in real time, which increase the realism and spatial perception\nand further do not influence the performance too much.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 458, "image_height": 213, "name": "Niedermayer_2018-image.JPG", "type": "image/jpeg", "size": 31728, "path": "Publication:Niedermayer_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1638 ], "date_end": "2018-10-23", "date_start": "2018-01-20", "matrikelnr": "01227211", "supervisor": [ 190 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Niedermayer_2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 19298736, "path": "Publication:Niedermayer_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 458, "image_height": 213, "name": "Niedermayer_2018-image.JPG", "type": "image/jpeg", "size": 31728, "path": "Publication:Niedermayer_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/", "__class": "Publication" }, { "id": "Deutsch-2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Generating seating plan images using clustering and concave hull algorithms", "date": "2018-10-21", "abstract": "This study presents a process of generating seating plan images for the Ticket Gretchen\napp. The app offers the ability to buy tickets for theaters and similar venues by using\nan interactive seating plan. A seating plan image is a venue’s abstract visualization\ndefined by the seating layout of a performance. It should give an impression of the spatial\nstructure to see which seats are in reach of each other. The proposed automated solution\nof generating these images replaces the previously used process of creating the seating\nplan images manually. The image is made up of polygons representing seat groups that\nshow the user which seats are near each other and which are separated from each other.\nThe grouping of seats is done with the DBSCAN clustering algorithm using the seats’ 2D\nposition, sector and box information. For the computation of the polygons two concave\nhull algorithms are compared.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1000, "image_height": 953, "name": "Deutsch-2018-image.png", "type": "image/png", "size": 78508, "path": "Publication:Deutsch-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1592 ], "date_end": "2018-10-21", "date_start": "2018-05-23", "matrikelnr": "01327587", "supervisor": [ 1464 ], "research_areas": [ "IllVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Deutsch-2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 6601116, "path": "Publication:Deutsch-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1000, "image_height": 953, "name": "Deutsch-2018-image.png", "type": "image/png", "size": 78508, "path": "Publication:Deutsch-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/", "__class": "Publication" }, { "id": "Fischer-2018-sssvr", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Subsurface Scattering in VR", "date": "2018-10-18", "abstract": "Subsurface Scattering is a physical phenomenon that appears in many materials but is most notable for human skin. Current research makes it possible to calculate the\nlocal scattering of light inside a translucent medium around the point of entry with a convolution of a separable filter in screen-space. This thesis tries to evaluate this technique by Jimenez et al. for stereoscopic rendering and how it can be implemented for the currently popular game engine Unity. Unity offers support for VR applications and allows the implementation of post-processing effects and other techniques that rely on shaders. The implemented Subsurface Scattering method is combined with an approach\nfor translucency and a physically based specular model. In the developed application the effects can be observed with and without VR and important parameters can be changed by the user. The performance and visual quality are reviewed with respect to the viability of the effects in Unity, stereoscopic rendering and frame rate. The latter is especially\nimportant in VR applications to deliver a comfortable interactive experience.\n\nImplementation https://drive.google.com/file/d/19cWkXh19uDCIa6Mcu3qy1UeIxYlOmjJA/view?usp=sharing ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1014, "name": "Fischer-2018-sssvr-image.jpg", "type": "image/jpeg", "size": 134152, "path": "Publication:Fischer-2018-sssvr", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/Fischer-2018-sssvr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/Fischer-2018-sssvr-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1548 ], "date_end": "2018-10-18", "date_start": "2018-02", "matrikelnr": "01527007", "supervisor": [ 193, 1128 ], "research_areas": [ "Rendering" ], "keywords": [ "subsurface scattering", "virtual reality" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Fischer-2018-sssvr-Bachelor Thesis.pdf", "type": "application/pdf", "size": 2486446, "path": "Publication:Fischer-2018-sssvr", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/Fischer-2018-sssvr-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/Fischer-2018-sssvr-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1014, "name": "Fischer-2018-sssvr-image.jpg", "type": "image/jpeg", "size": 134152, "path": "Publication:Fischer-2018-sssvr", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/Fischer-2018-sssvr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/Fischer-2018-sssvr-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/", "__class": "Publication" }, { "id": "ludwig-2012-MT", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Radial Diagrams for the Visual Analysis of Wind Energy Production Data", "date": "2018-10-10", "abstract": "Wind energy production is a fast growing sector in the field of renewable energy production. In the process of energy production, more and more data is produced and recorded every year. This data is usually worthless without further exploration, analysis, and presentation. This thesis presents a design study of the visual analysis of wind energy production data. The goal is to provide data analysts with tools to carry out common tasks in the field of wind energy production more efficiently. As the data commonly contains directional information of winds and gusts,\nanalysis techniques need to take the circular nature of such data into account.\nThis work proposes a set of techniques for the visualization and interaction with circular data in radial diagrams. The diagrams operate in the polar coordinate system and thus are well suited to solve the problems of maintaining the natural coherence and circular closure of circular data. \nThe thesis discusses important design decisions and gives practical guidance how to implement novel features into an existing software system. Implementation details on how to ensure large data scalability are presented. The work evaluates the results in a case study with real data carried out by an expert in the field of wind energy production. The results indicate an improved work flow of common tasks and a successful system integration. The reported deployment at a\nnational power grid operator further demonstrates the system’s user acceptance and importance. The thesis also reflects on the iterative design process and the within collected expert feedback.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 279, "image_height": 260, "name": "ludwig-2012-MT-image.PNG", "type": "image/png", "size": 45174, "path": "Publication:ludwig-2012-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1138 ], "date_end": "2018-10-10", "date_start": "2012", "matrikelnr": "0526080", "supervisor": [ 451, 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 279, "image_height": 260, "name": "ludwig-2012-MT-image.PNG", "type": "image/png", "size": 45174, "path": "Publication:ludwig-2012-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "ludwig-2012-MT-Master Thesis.pdf", "type": "application/pdf", "size": 16882134, "path": "Publication:ludwig-2012-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ludwig-2012-MT-Poster.pdf", "type": "application/pdf", "size": 711448, "path": "Publication:ludwig-2012-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/", "__class": "Publication" }, { "id": "trautner-2018-imd", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/7274", "title": "Importance-Driven Exploration of Molecular Dynamics Simulations", "date": "2018-10-03", "abstract": "The aim of this thesis is a novel real-time visualization approach for exploring molecular dynamics (MD-)simulations. Through the constantly improving hardware and everincreasing computing power, MD-simulations are more easily available. Additionally, they consist of hundreds, thousands or even millions of individual simulation frames and are getting more and more detailed. The calculation of such simulations is no longer limited by algorithms or hardware, nevertheless it is still not possible to efficiently explore this huge amount of simulation data, as animated 3D visualization, with ordinary and well established visualization tools. Using current software tools, the exploration of such long simulations takes too much time and due to the complexity of large molecular scenes, the visualizations highly suffer from visual clutter. It is therefore very likely that the user will miss important events.\nTherefore, we designed a focus & context approach for MD-simulations that guides the\nuser to the most relevant temporal and spatial events, and it is no longer necessary to explore the simulation in a linear fashion. Our contribution can be divided into the following four topics:\n1. Spatial importance through different levels of detail. Depending on the type of\nresearch task, different geometrical representations can be selected for both, focusand context elements.\n2. Importance driven visibility management through ghosting, to prevent context\nelements from occluding focus elements.\n3. Temporal importance through adaptive fast-forward. The playback speed of the\nsimulation is thereby dependent on a single or a combination of multiple importance\nfunctions.\n4. Visual declutter of accumulated frames through motion blur, which additionally\nillustrates the playback speed-up.\nSince the very beginning, this work was developed in close cooperation with biochemists from the Loschmidt Laboratories in Brno, Czech Republic. Together, we analyzed different use cases demonstrating the flexibility of our novel focus & context approach. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 567, "image_height": 480, "name": "trautner-2018-imd-image.png", "type": "image/png", "size": 278645, "path": "Publication:trautner-2018-imd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1196 ], "date_end": "2018-11-03", "date_start": "2018-01", "doi": "10.34726/hss.2018.53541", "matrikelnr": "01125421", "open_access": "yes", "pages": "100", "supervisor": [ 1110, 166 ], "research_areas": [ "BioVis", "Perception" ], "keywords": [ "molecular dynamics simulation", "realtime visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 567, "image_height": 480, "name": "trautner-2018-imd-image.png", "type": "image/png", "size": 278645, "path": "Publication:trautner-2018-imd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "trautner-2018-imd-Master Thesis.pdf", "type": "application/pdf", "size": 18870686, "path": "Publication:trautner-2018-imd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "trautner-2018-imd-Poster.pdf", "type": "application/pdf", "size": 4239145, "path": "Publication:trautner-2018-imd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/", "__class": "Publication" }, { "id": "steinboeck-2018-lbg", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Casual Visual Exploration of Large Bipartite Graphs Using Hierarchical Aggregation and Filtering", "date": "2018-10", "abstract": "Bipartite graphs are typically visualized using linked\nlists or matrices. However, these classic visualization techniques\ndo not scale well with the number of nodes. Biclustering has\nbeen used to aggregate edges, but not to create linked lists\nwith thousands of nodes. In this paper, we present a new\ncasual exploration interface for large, weighted bipartite graphs,\nwhich allows for multi-scale exploration through hierarchical\naggregation of nodes and edges using biclustering in linked\nlists. We demonstrate the usefulness of the technique using two\ndata sets: a database of media advertising expenses of public\nauthorities and author-keyword co-occurrences from the IEEE\nVisualization Publication collection. Through an insight-based\nstudy with lay users, we show that the biclustering interface leads\nto longer exploration times, more insights, and more unexpected\nfindings than a baseline interface using only filtering. However,\nusers also perceive the biclustering interface as more complex.", "authors_et_al": false, "substitute": null, "main_image": { "description": "BiCFlows showing visualization authors and their key words", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 708, "image_height": 702, "name": "steinboeck-2018-lbg-teaser.png", "type": "image/png", "size": 137906, "path": "Publication:steinboeck-2018-lbg", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1378, 166, 1110 ], "booktitle": "International Symposium on Big Data Visual and Immersive Analytics", "event": "4th International Symposium on Big Data Visual and Immersive Analytics", "lecturer": [ 1110 ], "location": "Konstanz, Germany", "organization": "IEEE", "research_areas": [ "InfoVis", "NetVis" ], "keywords": [ "information visualization", "bipartite graphs", "biclustering", "insight-based evaluation" ], "weblinks": [ { "href": "https://users.cg.tuwien.ac.at/~waldner/bicflows/", "caption": "BiCFlows online", "description": "BiCFlows online for exploring Austria's media transparency database and the IEEE Visualization paper authors and their key words. ", "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "steinboeck-2018-lbg-paper.pdf", "type": "application/pdf", "size": 1871535, "path": "Publication:steinboeck-2018-lbg", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-paper:thumb{{size}}.png" }, { "description": "BiCFlows showing visualization authors and their key words", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 708, "image_height": 702, "name": "steinboeck-2018-lbg-teaser.png", "type": "image/png", "size": 137906, "path": "Publication:steinboeck-2018-lbg", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/", "__class": "Publication" }, { "id": "amirkhanov-2018-withteeth", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "WithTeeth: Denture Preview in Augmented Reality", "date": "2018-10", "abstract": "Dentures are prosthetic devices replacing missing or damaged teeth, often used for dental reconstruction. Dental reconstruction improves the functional state and aesthetic appearance of teeth. State-of-the-art methods used by dental technicians typically do not include the aesthetic analysis, which often leads to unsatisfactory results for patients. In this paper, we present a virtual mirror approach for a dental treatment preview in augmented reality. Different denture presets are visually evaluated and compared by switching them on the fly. Our main goals are to provide a virtual dental treatment preview to facilitate early feedback, and hence to build the confidence and trust of patients in the outcome. The workflow of our algorithm is as follows. First, the face is detected and 2D facial landmarks are extracted. Then, 3D pose estimation of upper and lower jaws is performed and high-quality 3D models of the upper and lower dentures are fitted. The fitting uses the occlusal plane angle as determined manually by dental technicians. To provide a realistic impression of the virtual teeth, the dentures are rendered with motion blur. We demonstrate the robustness and visual quality of our approach by comparing the results of a webcam to a DSLR camera under natural, as well as controlled lighting conditions.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1170, 817, 660, 582, 1628, 1629, 166 ], "address": "https://diglib.eg.org/handle/10.2312/vmv20181250", "booktitle": "Vision, Modeling and Visualization", "cfp": { "name": "call_for_paper_vmv18.pdf", "type": "application/pdf", "error": "0", "size": "748387", "orig_name": "call_for_paper_vmv18.pdf", "ext": "pdf" }, "editor": "Beck, Fabian and Dachsbacher, Carsten and Sadlo, Filip", "event": "VMV18", "isbn": "978-3-03868-072-7", "lecturer": [ 1170 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "amirkhanov-2018-withteeth-paper.pdf", "type": "application/pdf", "size": 4951324, "path": "Publication:amirkhanov-2018-withteeth", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video demo", "main_file": true, "use_in_gallery": false, "access": "public", "name": "amirkhanov-2018-withteeth-video demo.mp4", "type": "video/mp4", "size": 35459157, "path": "Publication:amirkhanov-2018-withteeth", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-video demo.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-video demo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-video demo:video.mp4" } ], "projects_workgroups": [ "Smile Analytics" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/", "__class": "Publication" }, { "id": "edlinger-2018-vwr", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visually Linking web search results with bookmarked information", "date": "2018-10", "abstract": "This work presents a new approach of regaining access to stored information and for the visualization of similarities between new information and locally stored data. The fact that bookmarks are cumbersome to use and that there is no possibility to compare web search results with local information motivates the concept of this thesis. The\nimplementation was done as Google Chrome extension and based on the ’Information\nCollage’ environment. In order to improve the perceived ease of use, the visualization was integrated in the search engine results page to avoid a context switch for the user. The\nvisualization uses a word cloud to display similarities and differences between remote and\nlocal information. The word cloud layout focuses on the spatial arrangment and the text\ncolour of the words to encode their association to the remote or the local information.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 761, "image_height": 758, "name": "edlinger-2018-vwr-teaser.png", "type": "image/png", "size": 267653, "path": "Publication:edlinger-2018-vwr", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1465 ], "date_end": "2018-10", "date_start": "2017-06", "matrikelnr": "1027088", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 761, "image_height": 758, "name": "edlinger-2018-vwr-teaser.png", "type": "image/png", "size": 267653, "path": "Publication:edlinger-2018-vwr", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "edlinger-2018-vwr-thesis.pdf", "type": "application/pdf", "size": 9699891, "path": "Publication:edlinger-2018-vwr", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/", "__class": "Publication" }, { "id": "Konev-FCV2018", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Fast cutaway visualization of sub-terrain tubular networks", "date": "2018-10", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1333, "image_height": 753, "name": "Konev-FCV2018-image.jpg", "type": "image/jpeg", "size": 114614, "path": "Publication:Konev-FCV2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1205, 1380, 171, 1337, 877, 798 ], "doi": "https://doi.org/10.1016/j.cag.2018.07.004", "issn": "0097-8493", "journal": "Computers & Graphics", "number": "5", "open_access": "no", "pages": "25–35", "pages_from": "25", "pages_to": "35", "volume": "75", "research_areas": [ "IllVis", "Rendering" ], "keywords": [ "Cutaway visualization", "Procedural billboarding", "Subsurface networks" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1333, "image_height": 753, "name": "Konev-FCV2018-image.jpg", "type": "image/jpeg", "size": 114614, "path": "Publication:Konev-FCV2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/", "__class": "Publication" }, { "id": "kroesl-2018-DC", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "[DC] Computational Design of Smart Lighting Systems for Visually Impaired People, using VR and AR Simulations", "date": "2018-10", "abstract": "This Doctoral Consortium paper presents my dissertation research in a multidisciplinary setting, spanning over the areas of architecture, specifically lighting design and building information modeling, to virtual reality (VR) and perception.\nSince vision impairments are hardly taken into account in architecture and lighting design today, this research aims to provide the necessary tools to quantify the effects of vision impairments, so design guidelines regarding these impairments can be developed.\nAnother research goal is the determination of the influence of different lighting conditions on the perception of people with vision impairments.\nThis would allow us to develop smart lighting systems that can aid visually impaired people by increasing their visual perception of their environment.\nThis paper also outlines the concept for a tool to automatically generate lighting solutions and compare and test them in VR, as design aid for architects and lighting designers.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 642, "image_height": 595, "name": "kroesl-2018-DC-image.png", "type": "image/png", "size": 316715, "path": "Publication:kroesl-2018-DC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030 ], "booktitle": "Proceedings of the 2018 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)", "event": "ISMAR 2018", "lecturer": [ 1030 ], "location": "Munich", "open_access": "no", "publisher": "IEEE", "research_areas": [ "Perception", "Rendering" ], "keywords": [ "vision impairments", "lighting design", "virtual reality", "user study" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 642, "image_height": 595, "name": "kroesl-2018-DC-image.png", "type": "image/png", "size": 316715, "path": "Publication:kroesl-2018-DC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-image:thumb{{size}}.png" }, { "description": "author's version", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2018-DC-paper.pdf", "type": "application/pdf", "size": 3617601, "path": "Publication:kroesl-2018-DC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/", "__class": "Publication" }, { "id": "leimer-2018-sar", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Sit & Relax: Interactive Design of Body-Supporting Surfaces", "date": "2018-10", "abstract": "We propose a novel method for interactive design of well-fitting body-supporting surfaces that is driven by the pressure distribution on the body's surface. \n\nOur main contribution is an interactive modeling system that utilizes captured body poses and computes an importance field that is proportional to the pressure distribution on the body for a given pose. This distribution indicates where the body should be supported in order to easily hold a particular pose, which is one of the measures of comfortable sitting. \t\n\nUsing our approximation, we propose the entire workflow for interactive design of $C^2$ smooth surfaces which serve as seats, or generally, as body supporting furniture for comfortable sitting. Finally, we also provide a design tool for Rhino/Grasshopper that allows for interactive creation of single designs or entire multi-person sitting scenarios. We also test the tool with design students and present several results. \t\t\n\nOur method aims at interactive design in order to help designers to create appropriate surfaces digitally without additional empirical design passes.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1339, "image_height": 743, "name": "leimer-2018-sar-image.png", "type": "image/png", "size": 938874, "path": "Publication:leimer-2018-sar", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1019, 836, 1063, 844 ], "cfp": { "name": "call_for_papers.pdf", "type": "application/pdf", "error": "0", "size": "2740870", "orig_name": "call_for_papers.pdf", "ext": "pdf" }, "date_from": "2018-10-08", "date_to": "2018-10-11", "doi": "10.1111/cgf.13573", "event": "Pacific Graphics 2018", "journal": "Computer Graphics Forum", "lecturer": [ 1019 ], "location": "Hong Kong", "number": "7", "open_access": "yes", "pages_from": "349", "pages_to": "359", "volume": "37", "research_areas": [ "Fabrication", "Geometry", "Modeling" ], "keywords": [ "interactive modeling", "interactive design", "digital fabrication" ], "weblinks": [ { "href": "https://doi.org/10.1111/cgf.13573 ", "caption": "DOI", "description": null, "main_file": 0 } ], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1339, "image_height": 743, "name": "leimer-2018-sar-image.png", "type": "image/png", "size": 938874, "path": "Publication:leimer-2018-sar", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-image:thumb{{size}}.png" }, { "description": "preprint", "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2018-sar-preprint.pdf", "type": "application/pdf", "size": 10955588, "path": "Publication:leimer-2018-sar", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-preprint:thumb{{size}}.png" }, { "description": "video", "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2018-sar-video.mp4", "type": "video/mp4", "size": 201674852, "path": "Publication:leimer-2018-sar", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-video:video.mp4" } ], "projects_workgroups": [ "MAKE-IT-FAB", "geo-materials" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/", "__class": "Publication" }, { "id": "birsak-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/7025", "title": "Discrete Optimization on Graphs and Grids for the Creation of Navigational and Artistic Imagery", "date": "2018-09-30", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 836 ], "date_end": "2018-09", "date_start": "2012-08", "reviewer_1": [ 474 ], "reviewer_2": [ 194 ], "rigorosum": "2018-10-17", "supervisor": [ 193 ], "research_areas": [ "Modeling" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "Photo-Guide", "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-thesis/", "__class": "Publication" }, { "id": "miao_plitvice_2018", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visualization and Modeling of DNA Nanostructures", "date": "2018-09-18", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1280, "image_height": 720, "name": "miao_plitvice_2018-.png", "type": "image/png", "size": 74461, "path": "Publication:miao_plitvice_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_plitvice_2018/miao_plitvice_2018-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_plitvice_2018/miao_plitvice_2018-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263 ], "event": "First DNA Engineering Workshop 2018", "location": "Plitvice Lakes, Croatia", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1280, "image_height": 720, "name": "miao_plitvice_2018-.png", "type": "image/png", "size": 74461, "path": "Publication:miao_plitvice_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_plitvice_2018/miao_plitvice_2018-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_plitvice_2018/miao_plitvice_2018-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_plitvice_2018/", "__class": "Publication" }, { "id": "klaffenboeck-thesis", "type_id": "runphdthesis", "tu_id": null, "repositum_id": null, "title": "(untitled)", "date": "2018-09", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1598 ], "date_start": "2018-09", "duration": "2018-ongoing", "matrikelnr": "00301042", "supervisor": [ 193 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/klaffenboeck-thesis/", "__class": "Publication" }, { "id": "koch_bernhard_2018-1", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Semantic Screen-Space Occlusion for Multiscale Molecular Visualization", "date": "2018-09", "abstract": "Visual clutter is a major problem in large biological data visualization. It is often addressed through the means of level of detail\nschemes coupled with an appropriate coloring of the visualized structures. Ambient occlusion and shadows are often used to\nimprove the depth perception. However, when used excessively, these techniques are sources of visual clutter themselves. In\nthis paper we present a new approach to screen-space illumination algorithms suitable for use in illustrative visualization. The\nillumination effect can be controlled so that desired levels of semantic scene organization cast shadows while other remain\nflat. This way the illumination design can be parameterized to keep visual clutter, originating from illumination, to a minimum,\nwhile also guiding the user in a multiscale model exploration. We achieve this by selectively applying occlusion shading based\non the inherent semantics of the visualized hierarchically-organized data. The technique is in principle generally applicable\nto any hierarchically organized 3D scene and has been demonstrated on an exemplary scene from integrative structural biology.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2120, "image_height": 734, "name": "koch_bernhard_2018-1-image.JPG", "type": "image/jpeg", "size": 371526, "path": "Publication:koch_bernhard_2018-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1604, 1383, 1285, 935, 171 ], "cfp": { "name": "Call for Papers – VCBM 2018.pdf", "type": "application/pdf", "error": "0", "size": "179394", "orig_name": "Call for Papers – VCBM 2018.pdf", "ext": "pdf" }, "date_from": "2018-09", "date_to": "2018-09", "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2120, "image_height": 734, "name": "koch_bernhard_2018-1-image.JPG", "type": "image/jpeg", "size": 371526, "path": "Publication:koch_bernhard_2018-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "koch_bernhard_2018-1-paper.pdf", "type": "application/pdf", "size": 9041724, "path": "Publication:koch_bernhard_2018-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "koch_bernhard_2018-1-video.mp4", "type": "video/mp4", "size": 76794010, "path": "Publication:koch_bernhard_2018-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/", "__class": "Publication" }, { "id": "raidou2018visualflatter", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "VisualFlatter - Visual Analysis of Distortions in the Projection of Biomedical Structures", "date": "2018-09", "abstract": "Projections of complex anatomical or biological structures from 3D to 2D are often used by visualization and domain experts\nto facilitate inspection and understanding. Representing complex structures, such as organs or molecules, in a simpler 2D\nway often requires less interaction, while enabling comparability. However, the most commonly employed projection methods\nintroduce size or shape distortions, in the resulting 2D representations. While simple projections display known distortion\npatterns, more complex projection algorithms are not easily predictable.We propose the VisualFlatter, a visual analysis tool that\nenables visualization and domain experts to explore and analyze projection-induced distortions, in a structured way. Our tool\nprovides a way to identify projected regions with semantically relevant distortions and allows users to comparatively analyze\ndistortion outcomes, either from alternative projection methods or due to different setups through the projection pipeline. The\nuser is given the ability to improve the initial projection configuration, after comparing different setups. We demonstrate the\nfunctionality of our tool using four scenarios of 3D to 2D projections, conducted with the help of domain or visualization experts\nworking on different application fields. We also performed a wider evaluation with 13 participants, familiar with projections,\nto assess the usability and functionality of the Visual Flatter.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1366, 1367, 166, 1410 ], "cfp": { "name": "UI.PNG", "type": "image/png", "error": "0", "size": "739280", "orig_name": "UI.PNG", "ext": "PNG" }, "date_from": "2018", "date_to": "2018", "event": "Eurographics Workshop on Visual Computing for Biology and Medicine (2018)", "journal": "Eurographics Proceedings", "lecturer": [ 1410 ], "research_areas": [ "BioVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "demo", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou2018visualflatter-demo.mp4", "type": "video/mp4", "size": 64003568, "path": "Publication:raidou2018visualflatter", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-demo.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-demo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-demo:video.mp4" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 972, "name": "raidou2018visualflatter-image.png", "type": "image/png", "size": 771897, "path": "Publication:raidou2018visualflatter", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou2018visualflatter-paper.pdf", "type": "application/pdf", "size": 4204706, "path": "Publication:raidou2018visualflatter", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/", "__class": "Publication" }, { "id": "GAMPER-2018-OSG", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/7037", "title": "Ocean Surface Generation and Rendering", "date": "2018-09", "abstract": "The synthesis of a believable depiction of the ocean surface is a permanent topic of interest in\ncomputer graphics. It represents even more of a challenge for applications which require the\nreal-time display of a water body as large as the ocean. That is because the ocean is a highly\ndynamic system which combines waves at all scales, ranging from millimetres to kilometres.\nMoreover, the ocean may be observed from several distances, ranging from close-ups to views\nwhich reach the horizon. Thus, we present a framework to generate and render the open ocean in\nreal time, for arbitrary viewing distances and including waves at all scales. We focus our efforts\non the geometry of the animated ocean surface, for which we leverage a set of wave spectrum\nmodels from oceanographic research. We discuss the intricacies of said models, as well as their\nfitness for real-time rendering. Moreover, we delineate in detail how to integrate distinct wave\nspectrum models into a coherent framework, from which one is able obtain believable, consistent\nand coherent results.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1278, "image_height": 719, "name": "GAMPER-2018-OSG-image.jpg", "type": "image/jpeg", "size": 97135, "path": "Publication:GAMPER-2018-OSG", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 747 ], "date_end": "2018-09", "date_start": "2007", "matrikelnr": "0107543", "open_access": "yes", "supervisor": [ 193, 567 ], "research_areas": [ "Rendering" ], "keywords": [ "ocean rendering", "wave synthesis" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1278, "image_height": 719, "name": "GAMPER-2018-OSG-image.jpg", "type": "image/jpeg", "size": 97135, "path": "Publication:GAMPER-2018-OSG", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "GAMPER-2018-OSG-poster.pdf", "type": "application/pdf", "size": 21604047, "path": "Publication:GAMPER-2018-OSG", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "GAMPER-2018-OSG-thesis.pdf", "type": "application/pdf", "size": 54905917, "path": "Publication:GAMPER-2018-OSG", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/", "__class": "Publication" }, { "id": "haushofer-2018-skinning", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Dynamic molecular animation: GPU skinning for molecular data", "date": "2018-09", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "preview-image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 597, "image_height": 663, "name": "haushofer-2018-skinning-preview-image.PNG", "type": "image/png", "size": 197912, "path": "Publication:haushofer-2018-skinning", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-preview-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-preview-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1554 ], "co_supervisor": [ 1383 ], "date_end": "2018-09", "date_start": "2018-03", "matrikelnr": "1525970", "supervisor": [ 171 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "preview-image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 597, "image_height": 663, "name": "haushofer-2018-skinning-preview-image.PNG", "type": "image/png", "size": 197912, "path": "Publication:haushofer-2018-skinning", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-preview-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-preview-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "haushofer-2018-skinning-thesis.pdf", "type": "application/pdf", "size": 3180502, "path": "Publication:haushofer-2018-skinning", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "haushofer-2018-skinning-video.webm", "type": "video/webm", "size": 10769911, "path": "Publication:haushofer-2018-skinning", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-video.webm", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/", "__class": "Publication" }, { "id": "Muehlbacher_diss_2018", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Human-Oriented Statistical Modeling: Making Algorithms Accessible through Interactive Visualization", "date": "2018-08-30", "abstract": "Statistical modeling is a key technology for generating business value from data. While the number of available algorithms and the need for them is growing, the number of people with the skills to effectively use such methods lags behind. Many application domain experts find it hard to use and trust algorithms that come as black boxes with insufficient interfaces to adapt. The field of Visual Analytics aims to solve this problem by a human-oriented approach that puts users in control of algorithms through interactive\nvisual interfaces. However, designing accessible solutions for a broad set of users while re-using existing, proven algorithms poses significant challenges for the design of analytical infrastructures, visualizations, and interactions.\nThis thesis provides multiple contributions towards a more human-oriented modeling\nprocess: As a theoretical basis, it investigates how user involvement during the execution of algorithms can be realized from a technical perspective. Based on a characterization of needs regarding intermediate feedback and control, a set of formal strategies to realize user involvement in algorithms with different characteristics is presented. Guidelines\nfor the design of algorithmic APIs are identified, and requirements for the re-use of algorithms are discussed. From a survey of frequently used algorithms within R, the\nthesis concludes that a range of pragmatic options for enabling user involvement in new and existing algorithms exist and should be used. After these conceptual considerations, the thesis presents two methodological contributions that demonstrate how even inexperienced modelers can be effectively involved in the\nmodeling process. First, a new technique called TreePOD guides the selection of decision trees along trade-offs between accuracy and other objectives, such as interpretability.\nUsers can interactively explore a diverse set of candidate models generated by sampling the parameters of tree construction algorithms. Visualizations provide an overview of possible tree characteristics and guide model selection, while details on the underlying machine learning process are only exposed on demand. Real-world evaluation with\ndomain experts in the energy sector suggests that TreePOD enables users with and without statistical background a confident identification of suitable decision trees. As the second methodological contribution, the thesis presents a framework for interactive\nbuilding and validation of regression models. The framework addresses limitations of automated regression algorithms regarding the incorporation of domain knowledge, identifying local dependencies, and building trust in the models. Candidate variables for model refinement are ranked, and their relationship with the target variable is visualized to support an interactive workflow of building regression models. A real-world case study and feedback from domain experts in the energy sector indicate a significant effort\nreduction and increased transparency of the modeling process.\nAll methodological contributions of this work were implemented as part of a commercially distributed Visual Analytics software called Visplore. As the last contribution, this thesis reflects upon years of experience in deploying Visplore for modeling-related tasks in the energy sector. Dissemination and adoption are important aspects of making statistical\nmodels more accessible for domain experts, making this work relevant for practitioners\nand application-oriented researchers alike.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 306, "image_height": 284, "name": "Muehlbacher_diss_2018-image.PNG", "type": "image/png", "size": 34227, "path": "Publication:Muehlbacher_diss_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Muehlbacher_diss_2018/Muehlbacher_diss_2018-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Muehlbacher_diss_2018/Muehlbacher_diss_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 804 ], "co_supervisor": [ 451 ], "date_end": "2018-08", "date_start": "2012-06", "matrikelnr": "0625075", "reviewer_1": [ 176 ], "reviewer_2": [ 1144 ], "rigorosum": "2018-11-09", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 306, "image_height": 284, "name": "Muehlbacher_diss_2018-image.PNG", "type": "image/png", "size": 34227, "path": "Publication:Muehlbacher_diss_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Muehlbacher_diss_2018/Muehlbacher_diss_2018-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Muehlbacher_diss_2018/Muehlbacher_diss_2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Muehlbacher_diss_2018/", "__class": "Publication" }, { "id": "ohrhallinger_stefan-2018-pg", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "StretchDenoise: Parametric Curve Reconstruction with Guarantees by Separating Connectivity from Residual Uncertainty of Samples", "date": "2018-08-24", "abstract": "We reconstruct a closed denoised curve from an unstructured and highly noisy 2D point cloud.\nOur proposed method uses a two-pass approach: Previously recovered manifold connectivity is used for ordering noisy samples along this manifold and express these as residuals in order to enable parametric denoising.\nThis separates recovering low-frequency features from denoising high frequencies, which avoids over-smoothing.\nThe noise probability density functions (PDFs) at samples are either taken from sensor noise models or from estimates of the connectivity recovered in the first pass.\nThe output curve balances the signed distances (inside/outside) to the samples.\nAdditionally, the angles between edges of the polygon representing the connectivity become minimized in the least-square sense.\nThe movement of the polygon's vertices is restricted to their noise extent, i.e., a cut-off distance corresponding to a maximum variance of the PDFs.\nWe approximate the resulting optimization model, which consists of higher-order functions, by a linear model with good correspondence.\nOur algorithm is parameter-free and operates fast on the local neighborhoods determined by the connectivity.\n%We augment a least-squares solver constrained by a linear system to also handle bounds.\nThis enables us to guarantee stochastic error bounds for sampled curves corrupted by noise, e.g., silhouettes from sensed data, and we improve on the reconstruction error from ground truth.\nSource code is available online. An extended version is available at: https://arxiv.org/abs/1808.07778", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 828, "image_height": 812, "name": "ohrhallinger_stefan-2018-pg-image.png", "type": "image/png", "size": 68562, "path": "Publication:ohrhallinger_stefan-2018-pg", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/ohrhallinger_stefan-2018-pg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/ohrhallinger_stefan-2018-pg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948, 193 ], "booktitle": "Proceedings of Pacific Graphics 2018", "date_from": "2018-10-08", "date_to": "2018-10-11", "editor": "H. Fu, A. Ghosh, and J. Kopf (Guest Editors)", "event": "Pacific Graphics 2018", "isbn": "978-3-03868-073-4", "lecturer": [ 948 ], "location": "Hong Kong", "pages_from": "1", "pages_to": "4", "research_areas": [ "Geometry" ], "keywords": [ "Denoising", "Curve reconstruction", "Optimization" ], "weblinks": [ { "href": "https://arxiv.org/abs/1808.07778", "caption": "Extended version", "description": null, "main_file": 1 }, { "href": "https://github.com/stefango74/stretchdenoise", "caption": "source", "description": "source code on github", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 828, "image_height": 812, "name": "ohrhallinger_stefan-2018-pg-image.png", "type": "image/png", "size": 68562, "path": "Publication:ohrhallinger_stefan-2018-pg", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/ohrhallinger_stefan-2018-pg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/ohrhallinger_stefan-2018-pg-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger_stefan-2018-pg-paper.pdf", "type": "application/pdf", "size": 703514, "path": "Publication:ohrhallinger_stefan-2018-pg", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/ohrhallinger_stefan-2018-pg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/ohrhallinger_stefan-2018-pg-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/", "__class": "Publication" }, { "id": "Eckelt_2018_01", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Data-Driven User Guidance in Multi-Attribute Data Exploration", "date": "2018-08-18", "abstract": "Seeking relationships in multi-dimensional datasets is a common task, but can quickly\nbecome tedious due to the heterogeneity and increasing size of the data. Its visualization can be approached in a variety of ways: (i) projection techniques decrease the number of dimensions to a fraction before visualizing items, creating clusters where similarities in the high-level space may be derived; (ii) overview visualization techniques display selected\nattributes and all of their items’ values to discover patterns and find relationships; (iii) tabular techniques give an insight into the individual items and thus favor their detailed\nanalysis and exploration.\nHowever, while the interactive selection of a data subset during exploration is most easily done with tabular visualizations, finding relationships and patterns is not. Also, with overview techniques the number of attribute combinations quickly outgrows reasonable dimensions.\nIn this thesis, a data-driven touring process for Visual Analytics (VA) tools is presented that guides users in discovering relationships for a data subset of their interest. Based on the user’s selection, attributes that show some kind of similarity are presented. The selection can be done on attribute and item level. While a selected attribute is compared to all other attributes in the dataset, item sets are compared to the individual\ncategories of attributes. This comparison can be based on a number of similarity measures.\nTo cope with heterogeneity of data types, numerical attributes are discretized to achieve maximum similarity. In hierarchical attributes, the most similar subtree is sought. The touring process is also independent of the data domain and its visualization. This independence is demonstrated by the use of three different datasets and the integration of the touring process into two VA systems. These extended systems were shown to medical experts of the Kepler University Hospital, who will use them in the near future. Their feedback was incorporated to improve the guidance process.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 574, "image_height": 317, "name": "Eckelt_2018_01-image.JPG", "type": "image/jpeg", "size": 32290, "path": "Publication:Eckelt_2018_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1401 ], "date_end": "2018-08-18", "date_start": "2018-01-03", "matrikelnr": "1127705", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 574, "image_height": 317, "name": "Eckelt_2018_01-image.JPG", "type": "image/jpeg", "size": 32290, "path": "Publication:Eckelt_2018_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Eckelt_2018_01-Master thesis.pdf", "type": "application/pdf", "size": 12430400, "path": "Publication:Eckelt_2018_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Eckelt_2018_01-Poster.pdf", "type": "application/pdf", "size": 343124, "path": "Publication:Eckelt_2018_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/", "__class": "Publication" }, { "id": "OPPTIZ-2018-IVRL", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Implementing Virtual Ray Lights for Rendering Scenes with Participating Media", "date": "2018-08-07", "abstract": "This thesis documents the full implementation of the method Virtual Ray Lights for\nRendering Scenes with Participating Media. As a basic understanding of the foundations\nof rendering and related approaches is necessary to understand this complex method,\nthese foundations are discussed first. There, the rendering equation and the physical\nbehaviour of light is described. Additionally, rendering approaches like Recursive Ray\nTracing and Photon Mapping that do not consider participating media, as well as methods\nlike Volumetric Photon Mapping, Virtual Point Lights and Photon Beams, which are\nable to render participating media, are evaluated.\nFor the discussion on Virtual Ray Lights, the evaluation takes place in three parts.\nFirst, the method is discussed in general with a mathematical analysis. Afterwards,\nimplementation details are evaluated where pseudocode examples are provided. Lastly,\nthe rendered results of the implementation are evaluated thoroughly. These results are\nalso compared to provided images from various research papers.\nThe goal of this thesis is to provide an implementation of Virtual Ray Lights, as\nwell as providing the tools to implement this method in other projects. We provide the\nwell-documented source code for this project, with the scene settings to recreate the\nexamples.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 639, "image_height": 511, "name": "OPPTIZ-2018-IVRL-image.jpg", "type": "image/jpeg", "size": 39420, "path": "Publication:OPPTIZ-2018-IVRL", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/OPPTIZ-2018-IVRL/OPPTIZ-2018-IVRL-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/OPPTIZ-2018-IVRL/OPPTIZ-2018-IVRL-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1501 ], "date_end": "2018-08-07", "date_start": "2018-01-01", "matrikelnr": "01227129", "supervisor": [ 1073, 193 ], "research_areas": [ "Rendering" ], "keywords": [ "global illumination", "virtual point lights" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 639, "image_height": 511, "name": "OPPTIZ-2018-IVRL-image.jpg", "type": "image/jpeg", "size": 39420, "path": "Publication:OPPTIZ-2018-IVRL", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/OPPTIZ-2018-IVRL/OPPTIZ-2018-IVRL-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/OPPTIZ-2018-IVRL/OPPTIZ-2018-IVRL-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "OPPTIZ-2018-IVRL-thesis.pdf", "type": "application/pdf", "size": 70710134, "path": "Publication:OPPTIZ-2018-IVRL", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/OPPTIZ-2018-IVRL/OPPTIZ-2018-IVRL-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/OPPTIZ-2018-IVRL/OPPTIZ-2018-IVRL-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/OPPTIZ-2018-IVRL/", "__class": "Publication" }, { "id": "kroesl-2018-TVS", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "The Virtual Schoolyard: Attention Training in Virtual Reality for Children with Attentional Disorders", "date": "2018-08", "abstract": "This work presents a virtual reality simulation for training different attentional abilities in children and adolescents. In an interdisciplinary project between psychology and computer science, we developed four mini-games that are used during therapy sessions to battle different aspects of attentional disorders. First experiments show that the immersive game-like application is well received by children. Our tool is also currently part of a treatment program in an ongoing clinical study.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1500, "image_height": 1000, "name": "kroesl-2018-TVS-.png", "type": "image/png", "size": 2314610, "path": "Publication:kroesl-2018-TVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030, 1599, 1600, 1601, 1602, 193, 1603 ], "cfp": { "name": "call_for_posters.pdf", "type": "application/pdf", "error": "0", "size": "630843", "orig_name": "call_for_posters.pdf", "ext": "pdf" }, "date_from": "2018-08-12", "date_to": "2018-08-16", "doi": "10.1145/3230744.3230817", "event": "ACM SIGGRAPH 2018", "isbn": "978-1-4503-5817-0", "location": "Vancouver, Canada", "pages_from": "Article 27", "publisher": "ACM", "research_areas": [ "Perception", "Rendering" ], "keywords": [ "virtual reality", "attentional disorders", "user study" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1500, "image_height": 1000, "name": "kroesl-2018-TVS-.png", "type": "image/png", "size": 2314610, "path": "Publication:kroesl-2018-TVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-:thumb{{size}}.png" }, { "description": null, "filetitle": "abstract", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2018-TVS-abstract.pdf", "type": "application/pdf", "size": 20280477, "path": "Publication:kroesl-2018-TVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-abstract:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 900, "preview_image_height": 1200, "name": "kroesl-2018-TVS-poster.pdf", "type": "application/pdf", "size": 5352291, "path": "Publication:kroesl-2018-TVS", "preview_name": "kroesl-2018-TVS-poster:preview.png", "preview_type": "image/png", "preview_size": 1288394, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 853, "preview_image_height": 481, "name": "kroesl-2018-TVS-video.mp4", "type": "video/mp4", "size": 161407034, "path": "Publication:kroesl-2018-TVS", "preview_name": "kroesl-2018-TVS-video:preview.png", "preview_type": "image/png", "preview_size": 105824, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-video:video.mp4" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/", "__class": "Publication" }, { "id": "zsolnai-2018-gms", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Gaussian Material Synthesis", "date": "2018-08", "abstract": "We present a learning-based system for rapid mass-scale material synthesis that is useful for novice and expert users alike. The user preferences are learned via Gaussian Process Regression and can be easily sampled for new recommendations. Typically, each recommendation takes 40-60 seconds to render with global illumination, which makes this process impracticable for real-world workflows. Our neural network eliminates this bottleneck by providing high-quality image predictions in real time, after which it is possible to pick the desired materials from a gallery and assign them to a scene in an intuitive manner. Workflow timings against Disney’s “principled” shader reveal that our system scales well with the number of sought materials, thus empowering even novice users to generate hundreds of high-quality material models without any expertise in material modeling. Similarly, expert users experience a significant decrease in the total modeling time when populating a scene with materials. Furthermore, our proposed solution also offers controllable recommendations and a novel latent space variant generation step to enable the real-time fine-tuning of materials without requiring any domain expertise.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2043, "image_height": 2229, "name": "zsolnai-2018-gms-teaser2.jpg", "type": "image/jpeg", "size": 1534101, "path": "Publication:zsolnai-2018-gms", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-teaser2.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-teaser2:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1073, 194, 193 ], "date_from": "2018-08-06", "date_to": "2018-08-12", "doi": "10.1145/3197517.3201307", "event": "SIGGRAPH 2018", "issn": "0730-0301", "journal": "ACM Transactions on Graphics (SIGGRAPH 2018)", "lecturer": [ 1073 ], "location": "Vancouver, Canada", "number": "4", "open_access": "yes", "pages_from": "76:1", "pages_to": "76:14", "volume": "37", "research_areas": [ "Rendering" ], "keywords": [ "gaussian material synthesis", "neural rendering", "neural rendering" ], "weblinks": [ { "href": "https://users.cg.tuwien.ac.at/zsolnai/gfx/gaussian-material-synthesis/", "caption": "Project webpage with source code", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "zsolnai-2018-gms-paper.pdf", "type": "application/pdf", "size": 53921452, "path": "Publication:zsolnai-2018-gms", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "supplementary", "main_file": true, "use_in_gallery": false, "access": "public", "name": "zsolnai-2018-gms-supplementary.pdf", "type": "application/pdf", "size": 19797132, "path": "Publication:zsolnai-2018-gms", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-supplementary.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-supplementary:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2688, "image_height": 1512, "name": "zsolnai-2018-gms-teaser.jpg", "type": "image/jpeg", "size": 1551044, "path": "Publication:zsolnai-2018-gms", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2043, "image_height": 2229, "name": "zsolnai-2018-gms-teaser2.jpg", "type": "image/jpeg", "size": 1534101, "path": "Publication:zsolnai-2018-gms", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-teaser2.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-teaser2:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "zsolnai-2018-gms-video.mp4", "type": "video/mp4", "size": 635323427, "path": "Publication:zsolnai-2018-gms", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-video:video.mp4" } ], "projects_workgroups": [ "PathSpace" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/", "__class": "Publication" }, { "id": "schuetz-2018-PPC", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Progressive Real-Time Rendering of Unprocessed Point Clouds", "date": "2018-08", "abstract": "Rendering tens of millions of points in real time usually requires either high-end \ngraphics cards, or the use of spatial acceleration structures. \nWe introduce a method to progressively display as many points as the GPU memory can hold in real time \nby reprojecting what was visible and randomly adding additional points to uniformly \nconverge towards the full result within a few frames. \n\nOur method heavily limits the number of points that have to be rendered each frame and \nit converges quickly and in a visually pleasing way, which makes it suitable even \nfor notebooks with low-end GPUs. \nThe data structure consists of a randomly shuffled array of points that is incrementally generated \non-the-fly while points are being loaded. \n\nDue to this, it can be used to directly view point clouds in common sequential formats such as LAS or LAZ while they are being loaded and without the need to generate spatial acceleration structures in advance, as long as the data fits into GPU memory.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1213, "image_height": 662, "name": "schuetz-2018-PPC-.png", "type": "image/png", "size": 1023977, "path": "Publication:schuetz-2018-PPC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuetz-2018-PPC/schuetz-2018-PPC-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuetz-2018-PPC/schuetz-2018-PPC-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1116, 193 ], "cfp": { "name": "call_for_posters.pdf", "type": "application/pdf", "error": "0", "size": "630843", "orig_name": "call_for_posters.pdf", "ext": "pdf" }, "date_from": "2018-08-12", "date_to": "2018-08-16", "doi": "10.1145/3230744.3230816", "event": "ACM SIGGRAPH 2018", "isbn": "978-1-4503-5817-0/18/08", "location": "Vancouver, Canada", "pages_from": "Article 41", "publisher": "ACM", "research_areas": [ "Rendering" ], "keywords": [ "point based rendering, point cloud, LIDAR" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1213, "image_height": 662, "name": "schuetz-2018-PPC-.png", "type": "image/png", "size": 1023977, "path": "Publication:schuetz-2018-PPC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuetz-2018-PPC/schuetz-2018-PPC-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuetz-2018-PPC/schuetz-2018-PPC-:thumb{{size}}.png" }, { "description": null, "filetitle": "abstract", "main_file": true, "use_in_gallery": false, "access": "public", "name": "schuetz-2018-PPC-abstract.pdf", "type": "application/pdf", "size": 1041710, "path": "Publication:schuetz-2018-PPC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuetz-2018-PPC/schuetz-2018-PPC-abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuetz-2018-PPC/schuetz-2018-PPC-abstract:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1200, "preview_image_height": 857, "name": "schuetz-2018-PPC-poster.pdf", "type": "application/pdf", "size": 21784835, "path": "Publication:schuetz-2018-PPC", "preview_name": "schuetz-2018-PPC-poster:preview.png", "preview_type": "image/png", "preview_size": 582932, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuetz-2018-PPC/schuetz-2018-PPC-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuetz-2018-PPC/schuetz-2018-PPC-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuetz-2018-PPC/", "__class": "Publication" }, { "id": "HECHER-2017-HDY", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "How Do Users Map Points Between Dissimilar Shapes?", "date": "2018-08", "abstract": "Finding similar points in globally or locally similar shapes has been studied extensively through the use of various point descriptors or shape-matching methods. However, little work exists on finding similar points in dissimilar shapes. In this paper, we present the results of a study where users were given two dissimilar two-dimensional shapes and asked to map a given point in the first shape to the point in the second shape they consider most similar. We find that user mappings in this study correlate strongly with simple geometric relationships between points and shapes. To predict the probability distribution of user mappings between any pair of simple two-dimensional shapes, two distinct statistical models are defined using these relationships. We perform a thorough validation of the accuracy of these predictions and compare our models qualitatively and quantitatively to well-known shape-matching methods. Using our predictive models, we propose an approach to map objects or procedural content between different shapes in different design scenarios.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1323, "image_height": 742, "name": "HECHER-2017-HDY-image.png", "type": "image/png", "size": 1637744, "path": "Publication:HECHER-2017-HDY", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/HECHER-2017-HDY-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/HECHER-2017-HDY-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 779, 627, 194, 193 ], "doi": "10.1109/TVCG.2017.2730877", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "8", "open_access": "no", "pages_from": "2327", "pages_to": "2338", "volume": "24", "research_areas": [ "Modeling", "Perception" ], "keywords": [ "shape matching", "transformations", "shape similarity" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "HECHER-2017-HDY-draft.pdf", "type": "application/pdf", "size": 13870249, "path": "Publication:HECHER-2017-HDY", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/HECHER-2017-HDY-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/HECHER-2017-HDY-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1323, "image_height": 742, "name": "HECHER-2017-HDY-image.png", "type": "image/png", "size": 1637744, "path": "Publication:HECHER-2017-HDY", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/HECHER-2017-HDY-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/HECHER-2017-HDY-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/", "__class": "Publication" }, { "id": "Bauer_David_2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Automated Visual Assessment of Osteoarthritis", "date": "2018-07-17", "abstract": "Computer-aided visualisations are a powerful tool to make large datasets more accessible. Artificial intelligence (AI) also offers diverse ways in which to extract semantic values from large data stocks. It enables users to analyse records in ways that often exceed conventional methods in their specificity and accuracy.\nMedicine - more specifically those specialisations requiring imaging methods - are in need of sophisticated visualisation techniques. Our team at ImageBiopsy Lab [Lju17] runs development and research in the field of AI aided visualisations in medicine. For my thesis I developed a system for measuring the joint space in x-rays of the knee, based on existing concepts. Results of the measurements are processed and presented to the user as an augmented picture. This is achieved by employing different layers of graphical\noverlays on top of the original image. All measurements are based on parameters of the\nKellgren and Lawrence System (KLS) for classification of Osteoarthritis (OA).\nThe proposed method enables its users to asses the stage and tendency of OA in the\nknee at first glance as compared to conventional methods, which can be tedious and time-consuming. Calculated focus points in the mask layers can also be adjusted in\nreal time to accommodate for statistical outliers. The system was incorporated into\nan existing web-based framework which already demonstrates its potential in a clinical environment.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 372, "image_height": 313, "name": "Bauer_David_2018-image.JPG", "type": "image/jpeg", "size": 21458, "path": "Publication:Bauer_David_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/Bauer_David_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/Bauer_David_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1597 ], "date_end": "2018-07-17", "date_start": "2018-03-10", "matrikelnr": "01442385", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Bauer_David_2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 12160314, "path": "Publication:Bauer_David_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/Bauer_David_2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/Bauer_David_2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 372, "image_height": 313, "name": "Bauer_David_2018-image.JPG", "type": "image/jpeg", "size": 21458, "path": "Publication:Bauer_David_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/Bauer_David_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/Bauer_David_2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/", "__class": "Publication" }, { "id": "Masopust_2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Web-Based Osteoarthritis-Analysis Generating Data from Native Libraries and Machine-Learning Models", "date": "2018-07-08", "abstract": "As artificial intelligence (AI) progresses with seemingly unstoppable speed, its wide field of applications broadens by the day. One area where AI advancements appear to be\nespecially promising is their employment in the medical sector. Nowadays, due to the\nwider availability of processing power, algorithms based on neuronal networks can be used to generate far more data in areas where it previously seemed unthinkable.\nTraditional image-processing-algorithms often utilize computer vision (CV)-algorithms such as edge-detection to generate data from pixel input. While this method of gaining data worked well in the past, AI can help to improve the precision of such an analysis. The area I focussed on in this thesis is the generation of data from x-ray images of the knee joint. ImageBiopsy Lab (IB Lab)’s algorithms relied heavily on CV-based analysis\nfor the diagnosis of osteoarthritis (OA) in the knee. While this yielded good results in the past, this work will show that the use of deep neuronal networks improves accuracy in a significant way.\nFurther, neuronal networks can provide additional information that was a lot harder to be gained before, such as the laterality of a given image.\nThe aim of this project was to diagnose OA faster and more precisely than in the\npast and to embed it into a web-based solution for broader accessibility. To showcase the benefits of the described method, at the time of writing, our software is in the stage of\nbeing rolled out in a hospital in Lower Austria.\nBecause of the advancements mentioned above, this work will focus on the description and comparison of gaining information from x-ray images for a meaningful and efficient diagnosis of OA in the knee. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 703, "image_height": 466, "name": "Masopust_2018-image.JPG", "type": "image/jpeg", "size": 52585, "path": "Publication:Masopust_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/Masopust_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/Masopust_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1595 ], "date_end": "2018-07-08", "date_start": "2018-03-08", "matrikelnr": "01427382", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Masopust_2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 17023920, "path": "Publication:Masopust_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/Masopust_2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/Masopust_2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 703, "image_height": 466, "name": "Masopust_2018-image.JPG", "type": "image/jpeg", "size": 52585, "path": "Publication:Masopust_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/Masopust_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/Masopust_2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/", "__class": "Publication" }, { "id": "8564188", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Progressive Annotation of Schematic Railway Maps", "date": "2018-07", "abstract": "Octilinear network layouts are commonly used as the schematic\nrepresentation of railway maps due to their enhanced readability.\nHowever, it is often time-consuming to place station names on such\nrailway maps by trial and error, especially within the limited labeling\nspace around interchange stations. This paper presents a progressive\napproach to placing station names around stations in schematic railway\nmaps for better automation of map labeling processes. The idea behind\nour approach is to annotate stations in dense downtown areas around the\ninterchange stations first and then those in sparse rural areas. This is\nachieved by introducing the sum of geodesic distances over the railway\nnetwork to identify the proper order in which to annotate stations. In\nthe actual annotation process, we increase the labeling space around the\nrailway network when necessary by progressively stretching railway line\nsegments while retaining their original directions, which allows us to\nrespect the original schematic layout as much as possible. We present\nseveral experimental results to demonstrate the effectiveness of the\nproposed approach, together with a discussion on parameter tuning in our\nformulation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "8564188-image.png", "type": "image/png", "size": 28813, "path": "Publication:8564188", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/8564188/8564188-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/8564188/8564188-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1624, 1625, 1626, 1464, 1627, 1580 ], "booktitle": "Proceedings of the 22nd International Conference Information Visualisation (IV)", "doi": "10.1109/iV.2018.00070", "event": "The 22nd International Conference Information Visualisation (IV)", "lecturer": [ 1464 ], "pages": "373-378", "research_areas": [ "InfoVis" ], "keywords": [ "Rail transportation;Layout;Labeling;Spacestations;Optimization;Programming;Visualization;Progressive annotation,geodesic distances", "schematic layouts", "railway maps", "mixed-integerprogramming" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "8564188-image.png", "type": "image/png", "size": 28813, "path": "Publication:8564188", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/8564188/8564188-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/8564188/8564188-image:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/8564188/", "__class": "Publication" }, { "id": "Oancea_2018_1", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Four Texture Algorithms for Recognizing Early Signs of Osteoarthritis. Data from the Multicenter Osteoarthritis Study.", "date": "2018-06-27", "abstract": "This master thesis aims to provide an in-depth comparison of four texture algorithms\nin their capacity of discriminating patients with osteoarthritis (OA) from the ones without, recognizing early signs of Osteoarthritis and tracking disease progression from 2D radiographs of the knee trabecular bone (TB). Given the fractal properties of the trabecular bone (TB), two fractal-based algorithms (Bone Variance Value (BVV) and Bone Score Value (BSV)) that try to characterize the complexity of the underlying 3D structure of the bone are presented. The third algorithm (Bone Entropy Value (BEV), based on Shannon’s Entropy) stems from the information theory and aims to describe the bone structure in terms of information complexity. The last algorithm (Bone Coocurrence Value (BCV)) is based on the co-occurrence matrix of an image and describes the image texture in terms of certain Haralick features. If successful, such algorithms posses a great potential to lower the costs (financial, time) associated with the diagnosis of osteoarthritis (OA) through automation of the procedure, and with the treatment. The earlier treatments and risk reduction measures are less costly than the\nprocedures involved due to a more advanced stage of the disease (surgery, implants, etc.).\nFirst, a motivation for the detection of early osteoarthritis (OA) is given. Second, a detailed description and mathematical background of the algorithms are presented and validated on sample, artificial data. Third, the employed data sets used for classification tests are introduced. Fourth, the statistical methods and neural network models employed are presented and discussed. Fifth, the features produced by each algorithm are discussed and their independent and combined capacity of discriminating between bones with early signs of OA and healthy bones. Also the capacity of tracking OA progression\nthrough the years is quantified by statistical tests. Also in this part we present the best classification scores obtained from the most optimal neural networks for each use case. Finally, thoughts on future improvements and the generalization of the algorithms in other anatomical contexts, for other diseases or in other fields, like histology and\nmammography, are made.\nIn this work we show that the state-of-the-art in OA prediction can be surpassed by\nutilizing only models based on texture features alone. Our gender-stratified analysis produces a prediction score of 83% for males and 81% for females in terms of Area Under the Receiver Operating Characteristic Curve (ROC-AUC).", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 244, "image_height": 240, "name": "Oancea_2018_1-image.JPG", "type": "image/jpeg", "size": 25341, "path": "Publication:Oancea_2018_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1361 ], "date_end": "2018-06-27", "date_start": "2018-01-03", "matrikelnr": "01227706", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 244, "image_height": 240, "name": "Oancea_2018_1-image.JPG", "type": "image/jpeg", "size": 25341, "path": "Publication:Oancea_2018_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": false, "use_in_gallery": true, "access": "public", "name": "Oancea_2018_1-Master thesis.pdf", "type": "application/pdf", "size": 9691116, "path": "Publication:Oancea_2018_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Oancea_2018_1-poster.pdf", "type": "application/pdf", "size": 1104405, "path": "Publication:Oancea_2018_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/", "__class": "Publication" }, { "id": "schwaerzler_2018_phd", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/7290", "title": "Advances in the Multimodal 3D Reconstruction and Modeling of Buildings", "date": "2018-06-27", "abstract": "Driven by the need for faster and more efficient workflows in the digitization of urban environments, the availability of affordable 3D data-acquisition systems for buildings has drastically increased in the last years: Laser scanners and photogrammetric methods both produce millions of 3D points within minutes of acquisition time. They are applied both\non street-level as well as from above using drones, and are used to enhance traditional\ntachymetric measurements in surveying. However, these 3D data points are not the only available information: Extracted meta data from images, simulation results (e.g., from light simulations), 2D floor plans, and semantic tags – especially from the upcoming Building Information Modeling (BIM) systems – are becoming increasingly important.\nThe challenges this multimodality poses during the reconstruction of CAD-ready 3D\nbuildings are manifold: Apart from handling the enormous size of the data that is\ncollected during the acquisition steps, the different data sources must also be registered to each other in order to be applicable in a common context – which can be difficult in case of missing or erroneous information. Nevertheless, the potential for improving both\nthe workflow efficiency as well as the quality of the reconstruction results is huge: Missing information can be substituted by data from other sources, information about spatial or semantic relations can be utilized to overcome limitations, and interactive modeling\ncomplexity can be reduced (e.g., by limiting interactions to a two-dimensional space).\nIn this thesis, four publications are presented which aim at providing freely combinable “building blocks” for the creation of helpful methods and tools for advancing the field of Multimodal Urban Reconstruction. First, efficient methods for the calculation of shadows cast by area light sources are presented – one with a focus on the most efficient generation of physically accurate penumbras, and the other one with the goal of reusing\nsoft shadow information in consecutive frames to avoid costly recalculations. Then, a novel, optimization-supported reconstruction and modeling tool is presented, which employs sketch-based interactions and snapping techniques to create water-tight 3D building models. An extension to this system is demonstrated consecutively: There, 2D photos act as the only interaction canvas for the simple, sketch-based creation of building geometry and the corresponding textures. Together, these methods form a solid foundation for the creation of common, multimodal environments targeted at the reconstruction of 3D building models.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 248, "image_height": 232, "name": "schwaerzler_2018_phd-image.PNG", "type": "image/png", "size": 61239, "path": "Publication:schwaerzler_2018_phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 678 ], "date_end": "2018", "date_start": "2010", "open_access": "yes", "reviewer_1": [ 823 ], "reviewer_2": [ 378 ], "rigorosum": "2018-10-23", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 248, "image_height": 232, "name": "schwaerzler_2018_phd-image.PNG", "type": "image/png", "size": 61239, "path": "Publication:schwaerzler_2018_phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-image:thumb{{size}}.png" }, { "description": null, "filetitle": "PhD-Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "schwaerzler_2018_phd-PhD-Thesis.pdf", "type": "application/pdf", "size": 7485949, "path": "Publication:schwaerzler_2018_phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-PhD-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-PhD-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/", "__class": "Publication" }, { "id": "Miao2018FDN", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "A Preview to Adenita: Visualization and Modeling of DNA Nanostructures", "date": "2018-06-08", "abstract": "We present Adenita, an open-source software that aims to provide an integrated in silico\ndesign toolkit for DNA Nanostructures. It facilitates the modular assembly of pre-existing\nand de novo designs, regardless of the used approach. Adenita is being developed in the\ncontext of the MARA project [1], a highly ambitious project aiming to produce a DNA\nnanorobot capable of targeted cell lyses. Currently, the existing design and visualization\ntools are insufficient to solve the specific challenges in our project. We aim to overcome\nthese limitations with Adenita, a new semi-automated approach that we are developing as\nthe MARA project advances. Adenita integrates visualizations [2] with user interactions and\nalgorithms in a semi-manual approach. At the core, we use a hierarchical data model that\nenables us to combine both a top-down (DAEDALUS [3]) and a bottom-up (caDNAno [4])\ndesign approach of the DNA Nanostructure. From the DNA data model, we create smooth\nvisualizations that depict the structure in multiple scales from its atomic details to a highlevel\ngeometric representation of the target shape. In addition, we employ different layouts\nfor the same structure [5]: 3D structural representations, 2D caDNAno-style diagrams, and\n1D display of the linear sequences. Creators enable the parametrized generation of\nstructural motifs, while Manipulators facilitate the advanced modifications of the structural\nproperties, such as connecting components and adding bridging strands. Analysis of the\ndesigns is still in a preliminary phase, but it already enables the straightforward estimation\nof distances and the melting temperatures [6] of binding regions. The first DNA\nnanostructures that we designed with the new tool are now under experimental evaluation.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 857, "image_height": 1242, "name": "Miao2018FDN-image.png", "type": "image/png", "size": 1074408, "path": "Publication:Miao2018FDN", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1474, 1263, 960, 166, 171, 1473 ], "cfp": { "name": "fdn2018_abstracts.pdf", "type": "application/pdf", "error": "0", "size": "3495981", "orig_name": "fdn2018_abstracts.pdf", "ext": "pdf" }, "date_from": "2018-06-06", "date_to": "2018-06-08", "event": "3rd Functional DNA Nanotechnology Workshop", "location": "Rome", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 857, "image_height": 1242, "name": "Miao2018FDN-image.png", "type": "image/png", "size": 1074408, "path": "Publication:Miao2018FDN", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 857, "preview_image_height": 1242, "name": "Miao2018FDN-Poster.pdf", "type": "application/pdf", "size": 2534428, "path": "Publication:Miao2018FDN", "preview_name": "Miao2018FDN-Poster:preview.png", "preview_type": "image/png", "preview_size": 1074408, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/", "__class": "Publication" }, { "id": "mazurek-2018-veq", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visualizing Expanded Query Results", "date": "2018-06", "abstract": "When performing queries in web search engines, users often face difficulties choosing appropriate query terms. Search engines\ntherefore usually suggest a list of expanded versions of the user query to disambiguate it or to resolve potential term mismatches.\nHowever, it has been shown that users find it difficult to choose an expanded query from such a list. In this paper, we describe\nthe adoption of set-based text visualization techniques to visualize how query expansions enrich the result space of a given\nuser query and how the result sets relate to each other. Our system uses a linguistic approach to expand queries and topic\nmodeling to extract the most informative terms from the results of these queries. In a user study, we compare a common text list\nof query expansion suggestions to three set-based text visualization techniques adopted for visualizing expanded query results\n– namely, Compact Euler Diagrams, Parallel Tag Clouds, and a List View – to resolve ambiguous queries using interactive\nquery expansion. Our results show that text visualization techniques do not increase retrieval efficiency, precision, or recall.\nOverall, users rate Parallel Tag Clouds visualizing key terms of the expanded query space lowest. Based on the results, we derive\nrecommendations for visualizations of query expansion results, text visualization techniques in general, and discuss alternative\nuse cases of set-based text visualization techniques in the context of web search.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Density-based compact Euler Diagram", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 919, "image_height": 656, "name": "mazurek-2018-veq-teaser.png", "type": "image/png", "size": 34882, "path": "Publication:mazurek-2018-veq", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1364, 1110 ], "cfp": { "name": "EuroVis 2018 CfP.pdf", "type": "application/pdf", "error": "0", "size": "55844", "orig_name": "EuroVis 2018 CfP.pdf", "ext": "pdf" }, "date_from": "2018-06-04", "date_to": "2018-06-08", "event": "EG / VGTC Conference on Visualization (EuroVis)", "journal": "Computer Graphics Forum", "lecturer": [ 1364 ], "location": "Brno, Czech Republic", "pages_from": "87", "pages_to": "98", "research_areas": [ "InfoVis", "NetVis" ], "keywords": [ "Information visualization", "search interfaces", "empirical studies in visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mazurek-2018-veq-paper.pdf", "type": "application/pdf", "size": 1891501, "path": "Publication:mazurek-2018-veq", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-paper:thumb{{size}}.png" }, { "description": "Density-based compact Euler Diagram", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 919, "image_height": 656, "name": "mazurek-2018-veq-teaser.png", "type": "image/png", "size": 34882, "path": "Publication:mazurek-2018-veq", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mazurek-2018-veq-video.mp4", "type": "video/mp4", "size": 30231176, "path": "Publication:mazurek-2018-veq", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-video:video.mp4" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/", "__class": "Publication" }, { "id": "miao2018Dimsum", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "DimSUM: Dimension and Scale Unifying Maps for Visual Abstraction of DNA Origami Structures", "date": "2018-06", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3302, "image_height": 1884, "name": "miao2018Dimsum-Image.png", "type": "image/png", "size": 2858278, "path": "Publication:miao2018Dimsum", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263, 1474, 960, 166, 1473, 171 ], "date_from": "2017-06", "date_to": "2018-06", "event": "EuroVis Conference 2018", "journal": "Computer Graphics Forum", "lecturer": [ 1263 ], "location": "Brno, Czech Republic", "number": "3", "volume": "37", "research_areas": [ "BioVis", "IllVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3302, "image_height": 1884, "name": "miao2018Dimsum-Image.png", "type": "image/png", "size": 2858278, "path": "Publication:miao2018Dimsum", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": 3302, "preview_image_height": 1884, "name": "miao2018Dimsum-Paper.pdf", "type": "application/pdf", "size": 50814642, "path": "Publication:miao2018Dimsum", "preview_name": "miao2018Dimsum-Paper:preview.png", "preview_type": "image/png", "preview_size": 2858278, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Recording", "main_file": false, "use_in_gallery": false, "access": "public", "name": "miao2018Dimsum-Recording.mp4", "type": "video/mp4", "size": 236260449, "path": "Publication:miao2018Dimsum", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Recording.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Recording:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Recording:video.mp4" }, { "description": null, "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 3302, "preview_image_height": 1884, "name": "miao2018Dimsum-Video.mp4", "type": "video/mp4", "size": 97832153, "path": "Publication:miao2018Dimsum", "preview_name": "miao2018Dimsum-Video:preview.png", "preview_type": "image/png", "preview_size": 2858278, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Video:video.mp4" } ], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/", "__class": "Publication" }, { "id": "wu-2018-metabo", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "A Visual Comparison of Hand-Drawn and Machine-Generated Human Metabolic Pathways", "date": "2018-06", "abstract": "This poster abstract presents a visual comparison between three hand-drawn and one machine-generated human metabolic pathway diagrams. The human metabolic pathways, which describe significant biochemical reactions in the human body, have been increasingly investigated due to the development of analysis processes and are compiled into pathway diagrams to provide an overview of reaction in the human body. This complex network includes about 5,000 metabolites and 7,500 reactions, which are hierarchically nested and difficult to visualize. We collect and analyze well-known human metabolic pathway diagrams, and summarize the design choices of these diagrams, respectively. Together with a machine-generated diagram, we can understand the visual complexity of three hand-drawn and one machine-generated diagrams.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 566, "image_height": 800, "name": "wu-2018-metabo-image.png", "type": "image/png", "size": 677575, "path": "Publication:wu-2018-metabo", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 171 ], "cfp": { "name": "eurovis2018-poster.pdf", "type": "application/pdf", "error": "0", "size": "35735", "orig_name": "eurovis2018-poster.pdf", "ext": "pdf" }, "date_from": "2018-06-04", "date_to": "2018-06-08", "event": "EuroVis", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 566, "image_height": 800, "name": "wu-2018-metabo-image.png", "type": "image/png", "size": 677575, "path": "Publication:wu-2018-metabo", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2018-metabo-poster.pdf", "type": "application/pdf", "size": 85587001, "path": "Publication:wu-2018-metabo", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/", "__class": "Publication" }, { "id": "GANTNER-2018-ARO", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "AR Overlays for Leica VIS with Vulkan", "date": "2018-06", "abstract": "Using the existing Visual Inertial System (VIS) for pose estimation, BIM (Building Information\nManagement) information is displayed using Augmented Reality technology. Specific usecases,\nfor example, stakeout or CAD previews are implemented to demonstrate the\nadvantages of such overlays.\nThe focus of the implementation is on creating a correct representation of the physical camera\nin the virtual scene and render objects on top of the incoming video stream of the device. For a\ngood AR experience the objects should be distorted according to the camera’s distortion\nmodel and be occluded correctly with the environment.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1142, "image_height": 899, "name": "GANTNER-2018-ARO-image.jpg", "type": "image/jpeg", "size": 229568, "path": "Publication:GANTNER-2018-ARO", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/GANTNER-2018-ARO-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/GANTNER-2018-ARO-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1637 ], "date_end": "2018-10-29", "date_start": "2018-06-13", "matrikelnr": "1576033", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "description", "main_file": true, "use_in_gallery": false, "access": "public", "name": "GANTNER-2018-ARO-description.pdf", "type": "application/pdf", "size": 888137, "path": "Publication:GANTNER-2018-ARO", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/GANTNER-2018-ARO-description.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/GANTNER-2018-ARO-description:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1142, "image_height": 899, "name": "GANTNER-2018-ARO-image.jpg", "type": "image/jpeg", "size": 229568, "path": "Publication:GANTNER-2018-ARO", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/GANTNER-2018-ARO-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/GANTNER-2018-ARO-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/", "__class": "Publication" }, { "id": "steinboeck-2017-vbn", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Visual Exploration Interface for Large Bipartite Networks", "date": "2018-05-30", "abstract": "In this thesis we introduce BiCFlows, a novel interactive visualization approach to explore large bipartite graphs. We were motivated by the Media Transparency Database, a public database established by the Austrian government to provide information about governmental advertising and subsidies expenses, which holds the characteristics of a large, weighted bipartite graph.\nCurrent approaches that deal with the visualization of the Media Transparency Database are limited by the fact that they do not offer a sufficient overview of the whole dataset. Other existing approaches that are not particularly designed for the Media Transparency Database, but deal with the visualization of bipartite graphs are in addition limited by their lack of scalability for large datasets.\nAggregation is an often used concept in reducing the amount of data by grouping together similar data objects. This only works if the appropriate object properties are present in the data to use them for the aggregation. If this additional information is missing, like in the Media Transparency Database, other aggregation techniques have to be used. Since we are dealing with bipartite graphs in our approach, we use the concept of biclustering to establish a hierarchical structure within the data that can be interactively explored by the user.\nWe showed that BiCFlows cannot only be used for the Media Transparency Database, but also for other datasets that share the characteristics of a weighted bipartite graph. Furthermore, we conducted an insight-based user study to compare BiCFlows with existing concepts and discussed advantages and drawbacks. We showed that BiCFlows supported users in their exploration process and let them gain more insight than with existing approaches.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "sketch", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 649, "image_height": 462, "name": "steinboeck-2017-vbn-sketch.PNG", "type": "image/png", "size": 30764, "path": "Publication:steinboeck-2017-vbn", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-sketch.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-sketch:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1378 ], "date_end": "2018-05-30", "date_start": "2017-07", "matrikelnr": "0826088", "open_access": "yes", "supervisor": [ 166, 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "steinboeck-2017-vbn-Master Thesis.pdf", "type": "application/pdf", "size": 14008127, "path": "Publication:steinboeck-2017-vbn", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "steinboeck-2017-vbn-Poster.pdf", "type": "application/pdf", "size": 1309833, "path": "Publication:steinboeck-2017-vbn", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-Poster:thumb{{size}}.png" }, { "description": null, "filetitle": "sketch", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 649, "image_height": 462, "name": "steinboeck-2017-vbn-sketch.PNG", "type": "image/png", "size": 30764, "path": "Publication:steinboeck-2017-vbn", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-sketch.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-sketch:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/", "__class": "Publication" }, { "id": "Karall2017CVAB", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Comparative Visual Analytics in a Cohort of Breast Cancer Patients", "date": "2018-05-25", "abstract": "The most common cancer among the female population in the economically developed\nworld is breast cancer. To significantly reduce the mortality among affected women, an early diagnosis is essential, and also treatment strategies need to be selected carefully. Clinical researchers working on the selection of chemotherapy treatment need to analyze the progress of the disease during and after treatment and to understand how different groups of patients respond to selected treatments. Currently this is a difficult task because of the multitude of involved (imaging and non-imaging) data, for which adequate\nvisualizations are required. The aim of this work is to help clinical researchers working on the analysis of the progress of chemotherapy to understand and explore the multitude of data they have.\nThis thesis introduces a web-based framework realizing three tasks of exploring and analyzing imaging and non-imaging data of breast cancer patients in a cohort. A functionality for single patient follow-up studies (intra-patient study), a functionality to compare two different patients (pairwise inter-patient study) and a functionality to compare groups of patients (groupwise inter-patient study) are provided to enable an easier exploration and analysis of the available multivariate cohort data. To begin with, the imaging and non-imaging data underwent some preprocessing steps, such as\nregistration, segmentation and calculation of tumor probability maps, to make them\ncomparable. Afterwards, we carefully designed and implemented several multiple linked views, where interactive representations show distinct aspects of the data from which the clinical researcher can understand and analyze the available cohort data. A number of use cases to demonstrate the results that can be achieved with the provided framework are\nperformed and they illustrate the functionality and also the importance of the designed and implemented visual analytics framework. Using this framework, clinical researchers are able to visually explore and analyze the multitude of both imaging and non-imaging data of a patient and compare patients within a cohort, which was not possible before with any available exploratory tools.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 465, "image_height": 179, "name": "Karall2017CVAB-image.JPG", "type": "image/jpeg", "size": 23788, "path": "Publication:Karall2017CVAB", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/Karall2017CVAB-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/Karall2017CVAB-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1480 ], "date_end": "2018-05-25", "date_start": "2017-08-01", "matrikelnr": "00625631", "supervisor": [ 1410, 166 ], "research_areas": [ "MedVis" ], "keywords": [ "comparative visual analytics", "breast cancer" ], "weblinks": [ { "href": "https://www.cg.tuwien.ac.at/courses/projekte/comparative-visual-analytics-breast-cancer-patients", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 465, "image_height": 179, "name": "Karall2017CVAB-image.JPG", "type": "image/jpeg", "size": 23788, "path": "Publication:Karall2017CVAB", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/Karall2017CVAB-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/Karall2017CVAB-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Karall2017CVAB-Master Thesis.pdf", "type": "application/pdf", "size": 20362428, "path": "Publication:Karall2017CVAB", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/Karall2017CVAB-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/Karall2017CVAB-Master Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/", "__class": "Publication" }, { "id": "Karall2018_2", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Comparative Visual Analytics in a Cohort of Breast Cancer Patients", "date": "2018-05-25", "abstract": "The most common cancer among the female population in the economically developed world is breast cancer. To signifcantly reduce the mortality among affected women an early diagnosis is essential, and also treatment strategies need to be selected carefully. Clinical researchers working on the selection of chemotherapy treatment need to analyze the progress of the disease\nduring and after treatment and to understand how diffent groups of patients respond to selected treatments. Currently this is a diffcult task because of the multitude of involved imaging and non-imaging) data, for which adequate visualizations are required. The aim of this work is to help clinical researchers, who are working on the analysis of the progress of chemotherapy, to understand and explore the multitude of data they have. To this end, the following three tasks were realized in a web-based framework:\n1. Functionality for single patient follow-up studies (intra-patient study)\n2. Functionality to compare two different patients (pairwise inter-patient study)\n3. Functionality to compare groups of patients (groupwise inter-patient study)\nIn the examples below, we demonstrate only the latter, as it can be considered an overset of the other two tasks.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 458, "image_height": 438, "name": "Karall2018_2-image.JPG", "type": "image/jpeg", "size": 49900, "path": "Publication:Karall2018_2", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/Karall2018_2-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/Karall2018_2-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1480 ], "date_from": "2018-06-18", "date_to": "2018-06-18", "event": "EPILOG ", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 458, "image_height": 438, "name": "Karall2018_2-image.JPG", "type": "image/jpeg", "size": 49900, "path": "Publication:Karall2018_2", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/Karall2018_2-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/Karall2018_2-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Karall2018_2-Poster.pdf", "type": "application/pdf", "size": 3168095, "path": "Publication:Karall2018_2", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/Karall2018_2-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/Karall2018_2-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/", "__class": "Publication" }, { "id": "Tramberger_2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Automatic Breast Lesion Evaluation for Comparative Studies", "date": "2018-05-18", "abstract": "Breast cancer is the most common cancer with a high mortality rate. Neoadjuvant\nchemotherapie is conducted before surgery to reduce the breast tumor mass. Currently,\na lot of trials are taking place, with the purpose of understanding the effects of different chemotherapy strategies. In this work a software is developed to analyse and compare the influence of these treatments. The study data is available as 4D Dynamic Contrast-Enhanced Magnetic Resonance Imaging data. To reduce the time of manual segmentation and the connection of segmented lesions over time a automatic procedure was implemented. This process uses the time-signal intensity curve and a support vector machine to classify\nlesions with calculated morphological features. To analyse the data, two views are available. The Intra-patient view visualizes the tumor behaviour of an individual patient over time. With the Multi-patient view the user is able to compare multiple patients’ lesions and additional added patient data. Both views are implemented with JavaScript and can be expanded easily. Because of missing ground truth an evaluation of the automatic segmentation method was not possible.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 481, "image_height": 259, "name": "Tramberger_2018-image.JPG", "type": "image/jpeg", "size": 29680, "path": "Publication:Tramberger_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/Tramberger_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/Tramberger_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1481 ], "date_end": "2018-05-08", "date_start": "2017-12-01", "matrikelnr": "01326870", "supervisor": [ 1410 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Tramberger_2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 2104529, "path": "Publication:Tramberger_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/Tramberger_2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/Tramberger_2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 481, "image_height": 259, "name": "Tramberger_2018-image.JPG", "type": "image/jpeg", "size": 29680, "path": "Publication:Tramberger_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/Tramberger_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/Tramberger_2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/", "__class": "Publication" }, { "id": "gusenbauer-2018", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Bitstream - A bottom-up/top-down hybrid approach for web-based visual analysis of big data", "date": "2018-05-14", "abstract": "Analyzing large amounts of data is becoming an ever increasing problem. Bitcoin as an\nexample has produced more data than is possible to analyze. In order to compensate for these difficulties, creative ideas that employ data aggregation or minimization have been proposed. Other work also focuses on introducing novel visualization types that are geared towards the visualization of blockchain data. However, visualization of graphs through node-link diagrams remains a difficult challenge. Analysis of the Bitcoin transaction graph to follow bitcoin (BTC) transactions (TXs) poses a difficult problem due to the Bitcoin\nprotocol and the amount of data. This thesis combines two data processing strategies to visualize big network data on commodity hardware. The idea is to use visualization as a technique to analyze a data-set containing Bitcoin transaction information. Criminals use Bitcoin as a means of payment because of its guaranteed pseudonymity. Through visualization we aim to identify patterns that will allow us to deanonymize transactions. To do so we use a proxy server that does data preprocessing before they are visualized on a web client. The proxy leverages parallel computing to be able to do top-down and bottom-up data processing fast enough for interactive visualization. This is done through incremental loading (bottom-up), which enables to visualize data immediately\nwithout a (pre-)processing delay. The database containing the public Bitcoin ledger is over 163 gigabytes in size. The resulting graph has more than 800 million nodes. As this information is too much to be visualized, we also employ a top-down approach of data aggregation and graph minimization of the transactional graph. Through this methodology we intend to solve performance problems of long processing delays and the problem of fractured data where the data is shown only partially in the visualization.\nWe collaborate with security experts who share insights into their expertise through a continuously ongoing dialog. Exploratory analysis on a big data-set such as the Bitcoin ledger, enabled through the methodology presented in this thesis, will help security experts to analyze the money flow in a financial network that is used by criminals for its anonymity. We evaluate the result through the performance and feedback of these security experts as well as benchmark the performance against current best practice approaches.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 237, "image_height": 113, "name": "gusenbauer-2018-image.JPG", "type": "image/jpeg", "size": 11712, "path": "Publication:gusenbauer-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1257 ], "date_end": "2018-05-14", "date_start": "2016-11", "matrikelnr": "1125577", "supervisor": [ 1110, 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 237, "image_height": 113, "name": "gusenbauer-2018-image.JPG", "type": "image/jpeg", "size": 11712, "path": "Publication:gusenbauer-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "gusenbauer-2018-Master thesis.pdf", "type": "application/pdf", "size": 12125980, "path": "Publication:gusenbauer-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-Master thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/", "__class": "Publication" }, { "id": "gusenbauer-2018-P", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Bitstream - Top-Down/Bottom-Up Data Processing for Interactive Bitcoin Visualization.", "date": "2018-05-14", "abstract": "Analyzing large amounts of data is becoming an ever increasing problem. Bitcoin as an\nexample has produced more data than is possible to analyze. In order to compensate for these difficulties, creative ideas that employ data aggregation or minimization have been proposed. Other work also focuses on introducing novel visualization types that are geared towards the visualization of blockchain data. However, visualization of graphs through node-link diagrams remains a difficult challenge. Analysis of the Bitcoin transaction graph to follow bitcoin (BTC) transactions (TXs) poses a difficult problem due to the Bitcoin\nprotocol and the amount of data. This thesis combines two data processing strategies to visualize big network data on commodity hardware. The idea is to use visualization as a technique to analyze a data-set containing Bitcoin transaction information. Criminals use Bitcoin as a means of payment because of its guaranteed pseudonymity. Through visualization we aim to identify patterns that will allow us to deanonymize transactions.\nTo do so we use a proxy server that does data preprocessing before they are visualized on a web client. The proxy leverages parallel computing to be able to do top-down and bottom-up data processing fast enough for interactive visualization. This is done through incremental loading (bottom-up), which enables to visualize data immediately without a (pre-)processing delay. The database containing the public Bitcoin ledger is over 163 gigabytes in size. The resulting graph has more than 800 million nodes. As this information is too much to be visualized, we also employ a top-down approach of data aggregation and graph minimization of the transactional graph. Through this methodology we intend to solve performance problems of long processing delays and the problem of fractured data where the data is shown only partially in the visualization.\nWe collaborate with security experts who share insights into their expertise through a continuously ongoing dialog. Exploratory analysis on a big data-set such as the Bitcoin ledger, enabled through the methodology presented in this thesis, will help security experts to analyze the money flow in a financial network that is used by criminals for its anonymity. We evaluate the result through the performance and feedback of these security experts as well as benchmark the performance against current best practice approaches.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 279, "image_height": 149, "name": "gusenbauer-2018-P-image.JPG", "type": "image/jpeg", "size": 18488, "path": "Publication:gusenbauer-2018-P", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/gusenbauer-2018-P-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/gusenbauer-2018-P-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1257 ], "date_from": "2018-06-18", "date_to": "2018-06-18", "event": "EPILOG", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 279, "image_height": 149, "name": "gusenbauer-2018-P-image.JPG", "type": "image/jpeg", "size": 18488, "path": "Publication:gusenbauer-2018-P", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/gusenbauer-2018-P-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/gusenbauer-2018-P-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": false, "use_in_gallery": true, "access": "public", "name": "gusenbauer-2018-P-Poster.pdf", "type": "application/pdf", "size": 707107, "path": "Publication:gusenbauer-2018-P", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/gusenbauer-2018-P-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/gusenbauer-2018-P-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/", "__class": "Publication" }, { "id": "mazza-2012-bakk", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Optimized Sorting for Out-of-Core Surface Reconstruction", "date": "2018-05-04", "abstract": "In recent years the amount of acquisition methods for point clouds has been increasing consequently and it is getting more and more interesting for society. Even if it is possible to render point clouds directly, nowadays there exist many more algorithms which deal with triangle meshes than point clouds. For example 3D printer software requires watertight meshes as input. This makes automatic conversion of point sets to triangle meshes an important research topic. The aim of this Bachelor Thesis was to implement a plugin for Scanopy (a point cloud editing and rendering program) which can convert point clouds with hundreds of millions of samples in such a detailed degree that the data exceeds common main memory sizes. Therefore, an out-of-core algorithm was needed. The used out-of-core Poisson surface reconstruction approach requires the sorting of the input point samples in a preprocessing step. In this Bachelor Thesis it is shown that the sorting of the data with an optimized multithreaded merge sort algorithm can improve the total required time for the reconstruction process significantly. Further, this work indicates a problem which occurs while reconstructing meshes with a Poisson based reconstruction approach from scans of an open terrain. The problem leads to large unnecessary triangles which hide the reconstructed surface. A very basic solution approach for this problem is also stated.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 758, "image_height": 836, "name": "mazza-2012-bakk-image.png", "type": "image/png", "size": 63835, "path": "Publication:mazza-2012-bakk", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1035 ], "date_end": "2018-05-04", "date_start": "2012-10-01", "matrikelnr": "0825828", "supervisor": [ 614, 193 ], "research_areas": [ "Geometry" ], "keywords": [ "surface reconstruction", "out-of-core", "point processing" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 758, "image_height": 836, "name": "mazza-2012-bakk-image.png", "type": "image/png", "size": 63835, "path": "Publication:mazza-2012-bakk", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mazza-2012-bakk-thesis.pdf", "type": "application/pdf", "size": 8761718, "path": "Publication:mazza-2012-bakk", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/", "__class": "Publication" }, { "id": "Schernthaner-2017-MCP", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Multipath Curved Planar Reformations of Peripheral CT Angiography: Diagnostic Accuracy and Time Efficiency", "date": "2018-05-01", "abstract": "Objectives To compare diagnostic performance and time\nefficiency between 3D multipath curved planar reformations\n(mpCPRs) and axial images of CT angiography for\nthe pre-interventional assessment of peripheral arterial\ndisease (PAD), with digital subtraction angiography as the\nstandard of reference.\nMethods Forty patients (10 females, mean age 72 years),\nreferred to CTA prior to endovascular treatment of PAD,\nwere prospectively included and underwent peripheral CT\nangiography. A semiautomated toolbox was used to render\nmpCPRs. Twenty-one arterial segments were defined in\neach leg; for each segment, the presence of stenosis[70%\nwas assessed on mpCPRs and axial images by two readers,\nindependently, with digital subtraction angiography as gold\nstandard.\nResults Both readers reached lower sensitivity (Reader 1:\n91 vs. 94%, p = 0.08; Reader 2: 89 vs. 93%, p = 0.03) but\nsignificantly higher specificity (Reader 1: 94 vs. 89%,\np\\0.01; Reader 2: 96 vs. 95%, p = 0.01) with mpCPRs\nthan with axial images. Reader 1 achieved significantly\nhigher accuracy with mpCPRs (93 vs. 91%, p = 0.02), and Reader 2 had similar overall accuracy in both evaluations\n(94 vs. 94%, p = 0.96). Both readers read mpCPRs significantly\nfaster than axial images (Reader 1: 504500 based\non mpCPRs vs. 704000 based on axial images; Reader 2:\n404100 based on mpCPRs vs. 605700 based on axial images;\np\\0.01).\nConclusions mpCPRs are a promising 3D reformation\ntechnique that facilitates a fast assessment of PAD with\nhigh diagnostic accuracy.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1531, 1532, 1533, 1288, 869, 166, 1289, 1047 ], "doi": "10.1007/s00270-017-1846-3", "issn": "0174-1551", "journal": "CardioVascular and Interventional Radiology", "number": "5", "pages_from": "718", "pages_to": "725", "volume": "41", "research_areas": [], "keywords": [ "PAD", "CTA", "3D reformation", "mpCPRs" ], "weblinks": [ { "href": "https://link.springer.com/article/10.1007%2Fs00270-017-1846-3", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Schernthaner-2017-MCP/", "__class": "Publication" }, { "id": "VASILJEVS-2018-PMPL", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Procedural Modelling of Park Layouts", "date": "2018-05", "abstract": "Procedural Modelling in Computer Graphics automates content generation, where commonly\nmanual methods have been employed, as in using modelling applications like Maya.\nGrammar-based methods allow to describe creation of objects at a higher level, encoding\ndesign decisions in rule files and enabling generation of infinite variations by just altering\nthe parameters. Methods for the synthesis of landscapes, street networks, buildings,\nand vegetation have been described. In the context of the city generation, CityEngine\ncombines some such techniques into a commercial solution that can be used to generate\nthe whole city at once.\nIn the context of park synthesis, the process is divided into layout generation and placement\nof objects in it. Typically, a park layout is either created manually and inserted into\nthe reserved area, or a shape grammar designed for building synthesis is employed. In the\nfirst case, a change to the design or the surrounding regions could result in considerable\nmodifications required of the user. At the present moment, generation of parks and green\nspaces in a city is rather limited and mainly focused on vegetation placement.\nThe aim of our work was to design a method for park layout synthesis, which when\ncombined with basic placement methods could be used to create believable park models.\nBased on the observation of real-life parks and 3D models of parks, we have derived a\nnumber of patterns, which have been translated into the rules of our novel shape grammar.\nIn particular, we introduce a rule for creating curved regions, which, to our knowledge,\nhas not been addressed yet at this level in grammar-based methods. We also introduce a\nnovel way to index arbitrary subset of the boundary and provide an additional insetting\noperation based on that. In our work we have considered the context of CityEngine as a\npossible use case.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 640, "image_height": 360, "name": "VASILJEVS-2018-PMPL-image.jpg", "type": "image/jpeg", "size": 56641, "path": "Publication:VASILJEVS-2018-PMPL", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1609 ], "date_end": "2018-07-16", "date_start": "2016", "diploma_examina": "2018-07-16", "matrikelnr": "0727773", "open_access": "yes", "supervisor": [ 1303, 193 ], "research_areas": [ "Modeling" ], "keywords": [ "procedural modeling", "park layouts" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 640, "image_height": 360, "name": "VASILJEVS-2018-PMPL-image.jpg", "type": "image/jpeg", "size": 56641, "path": "Publication:VASILJEVS-2018-PMPL", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "VASILJEVS-2018-PMPL-poster.pdf", "type": "application/pdf", "size": 5054949, "path": "Publication:VASILJEVS-2018-PMPL", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "VASILJEVS-2018-PMPL-thesis.pdf", "type": "application/pdf", "size": 18212360, "path": "Publication:VASILJEVS-2018-PMPL", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "PAMINA" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/", "__class": "Publication" }, { "id": "birsak-2017-dpe", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Dynamic Path Exploration on Mobile Devices", "date": "2018-05", "abstract": "We present a novel framework for visualizing routes on mobile devices. Our framework is suitable for helping users explore their environment.\nFirst, given a starting point and a maximum route length, the system retrieves nearby points of interest (POIs). Second, we automatically compute an attractive walking path through the environment trying to pass by as many highly ranked POIs as possible. Third, we automatically compute a route visualization that shows the current user position, POI locations via pins, and detail lenses for more information about the POIs. The visualization is an animation of an orthographic map view that follows the current user position. We propose an optimization based on a binary integer program (BIP) that models multiple requirements for an effective placement of detail lenses. We show that our path computation method outperforms recently proposed methods and we evaluate the overall impact of our framework in two user studies.", "authors_et_al": false, "substitute": null, "main_image": { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2002, "image_height": 1246, "name": "birsak-2017-dpe-thumbnail.png", "type": "image/png", "size": 1540567, "path": "Publication:birsak-2017-dpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-thumbnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 836, 844, 194, 193 ], "doi": "10.1109/TVCG.2017.2690294", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "5", "pages_from": "1784", "pages_to": "1798", "protocol": "null", "volume": "24", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "overview image", "filetitle": "overview", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2229, "image_height": 2762, "name": "birsak-2017-dpe-overview.png", "type": "image/png", "size": 3708886, "path": "Publication:birsak-2017-dpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-overview:thumb{{size}}.png" }, { "description": null, "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "birsak-2017-dpe-preprint.pdf", "type": "application/pdf", "size": 39449554, "path": "Publication:birsak-2017-dpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-preprint:thumb{{size}}.png" }, { "description": null, "filetitle": "supplementary", "main_file": false, "use_in_gallery": false, "access": "public", "name": "birsak-2017-dpe-supplementary.pdf", "type": "application/pdf", "size": 26746193, "path": "Publication:birsak-2017-dpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-supplementary.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-supplementary:thumb{{size}}.png" }, { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2002, "image_height": 1246, "name": "birsak-2017-dpe-thumbnail.png", "type": "image/png", "size": 1540567, "path": "Publication:birsak-2017-dpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-thumbnail:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "birsak-2017-dpe-video.mp4", "type": "video/mp4", "size": 45077025, "path": "Publication:birsak-2017-dpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-video:video.mp4" } ], "projects_workgroups": [ "Photo-Guide", "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/", "__class": "Publication" }, { "id": "Kathi-2018-VRB", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "A VR-based user study on the effects of vision impairments on recognition distances of escape-route signs in buildings", "date": "2018-04-30", "abstract": "In workplaces or publicly accessible buildings, escape routes are signposted according to official norms or international standards that specify distances, angles and areas of interest for the positioning of escape-route signs. In homes for the elderly, in which the residents commonly have degraded mobility and suffer from vision impairments caused by age or eye diseases, the specifications of current norms and standards may be insufficient. Quantifying the effect of symptoms of vision impairments like reduced visual acuity on recognition distances is challenging, as it is cumbersome to find a large number of user study participants who suffer from exactly the same form of vision impairments. Hence, we propose a new methodology for such user studies: By conducting a user study in virtual reality (VR), we are able to use participants with normal or corrected sight and simulate vision impairments graphically. The use of standardized medical eyesight tests in VR allows us to calibrate the visual acuity of all our participants to the same level, taking their respective visual acuity into account. Since we primarily focus on homes for the elderly, we accounted for their often limited mobility by implementing a wheelchair simulation for our VR application.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 327, "image_height": 327, "name": "Kathi-2018-VRB-image.JPG", "type": "image/jpeg", "size": 24451, "path": "Publication:Kathi-2018-VRB", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030, 1551, 678, 1492, 193, 1559 ], "date_from": "2018-06-11", "date_to": "2018-06-14", "doi": "10.1007/s00371-018-1517-7", "event": "Computer Graphics International (CGI)", "issn": "0178-2789", "journal": "The Visual Computer", "lecturer": [ 1030 ], "location": "Bintan, Indonesia", "number": "6-8", "open_access": "yes", "pages_from": "911", "pages_to": "923", "volume": "34", "research_areas": [ "Perception", "Rendering", "VR" ], "keywords": [], "weblinks": [ { "href": "https://link.springer.com/article/10.1007%2Fs00371-018-1517-7", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 327, "image_height": 327, "name": "Kathi-2018-VRB-image.JPG", "type": "image/jpeg", "size": 24451, "path": "Publication:Kathi-2018-VRB", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kathi-2018-VRB-Paper.pdf", "type": "application/pdf", "size": 1077352, "path": "Publication:Kathi-2018-VRB", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/", "__class": "Publication" }, { "id": "Purgathofer-2018-EG", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Best Practice in Technology Transfer", "date": "2018-04-19", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "event": "Eurographics Industrial Presentations", "lecturer": [ 190 ], "location": "Delft, NL", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Purgathofer-2018-EG/", "__class": "Publication" }, { "id": "Cai_2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Research on Graphical Interfaces to Perform Anatomical Queries on Large Collections of Gene Expression Images", "date": "2018-04-06", "abstract": "As image information is increasing sharply, searching and presenting interesting images\nin large databases have become more and more important in image management. In this\npaper, an optimizing graphical query interface was designed for anatomical search to present more valuable information from the large neuro-anatomical image collections of Drosophila (fruit fly) brains. In order to achieve the goal, the relevant websites of “Fly Circuit”, “Fly Light” and “Allen Mouse Brain Atlas”, and the image management software of PivotViewer and Zegami were investigated firstly. Then, analysis and comparison for\nthe mentioned tools using different perspectives were conducted to define the guidelines for best practices out of them. Based on the findings, several redesigns are proposed for neuro-anatomical query interfaces and part of them were implemented. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 506, "image_height": 278, "name": "Cai_2018-image.JPG", "type": "image/jpeg", "size": 38696, "path": "Publication:Cai_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1553 ], "date_end": "2018-04-06", "date_start": "2017-10-06", "matrikelnr": "1425123", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Cai_2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 28622827, "path": "Publication:Cai_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 506, "image_height": 278, "name": "Cai_2018-image.JPG", "type": "image/jpeg", "size": 38696, "path": "Publication:Cai_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/", "__class": "Publication" }, { "id": "waldner-2018-ved", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Data Exploration and Analysis in Emerging Display Environments ", "date": "2018-04-05", "abstract": "Increasingly powerful computing and display hardware open up entirely new ways for visual data exploration and analysis. Powerful machines and emerging display environments facilitate novel visual exploration techniques, collaborative data analysis, and even immersion into the scientific data. This talk will address the challenges we faced when bringing biomolecular visual analysis tools and complex molecular visualizations into such large, multi-user environments. A special focus lies on interfaces and attention guidance techniques we designed and evaluated to keep the user oriented and reduce visual clutter. ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1110 ], "event": "Emerging Technologies in Scientific Data Visualisation - CECAM", "location": "Pisa, Italy", "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://www.cecam.org/workshop-1586.html", "caption": "CECAM workshop", "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/waldner-2018-ved/", "__class": "Publication" }, { "id": "wu-2018-story", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "The Travel of a Metabolite", "date": "2018-04", "abstract": "Biological pathways are chains of molecule interactions and reactions in biological systems that jointly form complex, hierarchical networks. Although several pathway layout algorithms have been investigated, biologists still prefer to use hand-drawn ones, due to their high visual quality relied on domain knowledge. In this project, we propose a visualization for computing metabolic pathway maps that restrict the grouping structure defined by biologists to rectangles and apply orthogonal-style edge routing to simplify edge orientation. This idea is inspired by concepts from urban planning, where we consider reactions as city blocks and built up roads to connect identical metabolites occurred in multiple categories. We provide a story to present how glucose is broken down to phosphoenolpyruvate to release energy, which is often stored in adenosine triphosphate (ATP) in a human body. Finally, we demonstrate ATP is also utilized to synthesize urea to eliminate the toxic ammonia in our body.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2018-story-image.png", "type": "image/png", "size": 91891, "path": "Publication:wu-2018-story", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 171 ], "note": "submitted to PacificVis 2018 Data Story Telling Contest", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://vimeo.com/258174044", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2018-story-image.png", "type": "image/png", "size": 91891, "path": "Publication:wu-2018-story", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2018-story-paper.pdf", "type": "application/pdf", "size": 601059, "path": "Publication:wu-2018-story", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2018-story-video.mov", "type": "video/quicktime", "size": 15567398, "path": "Publication:wu-2018-story", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-video.mov", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-video:video.mp4" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/", "__class": "Publication" }, { "id": "PB-VRVis-2018-005", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "An Automated Verification Workflow for Planned Lighting Setups using BIM", "date": "2018-04", "abstract": "The use of Building Information Modeling (BIM) methods is becoming more\nand more established in the planning stage, during the construction, and\nfor the management of buildings. Tailored BIM software packages allow to\nhandle a vast amount of relevant aspects, but have so far not been\ncovering specialized tasks like the evaluation of light distributions in\nand around a 3D model of a building. To overcome this limitation, we\ndemonstrate the use of the open-source IFC format for preparing and\nexchanging BIM data to be used in our interactive light simulation\nsystem. By exploiting the availability of 3D data and semantic\ndescriptions, it is possible to automatically place measurement surfaces\nin the 3D scene, and evaluate the suitability and sustainability of a\nplanned lighting design according to given constraints and industry\nnorms. Interactive visualizations for fast analysis of the simulation\nresults, created using state-of-the-art web technologies, are seamlessly\nintegrated in the 3D work environment, helping the lighting designer to\nquickly improve the initial lighting solution with a few clicks.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 448, "image_height": 309, "name": "PB-VRVis-2018-005-image.png", "type": "image/png", "size": 116117, "path": "Publication:PB-VRVis-2018-005", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1494, 1030, 659, 1612, 1613, 678 ], "booktitle": "REAL CORP 2018, Proceedings", "editor": "M. Schrenk and V. V. Popovich and P. Zeile and P. Elisei and C. Beyerand G. Navratil", "event": "REAL CORP 2018", "isbn": "978-3-9504173-5-7", "lecturer": [ 1030 ], "pages": "55–65", "pages_from": "55", "pages_to": "65", "series": "REAL CORP", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 448, "image_height": 309, "name": "PB-VRVis-2018-005-image.png", "type": "image/png", "size": 116117, "path": "Publication:PB-VRVis-2018-005", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "PB-VRVis-2018-005-paper.pdf", "type": "application/pdf", "size": 2452259, "path": "Publication:PB-VRVis-2018-005", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis", "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/", "__class": "Publication" }, { "id": "smiech-2018-tei", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Configurable Text Exploration Interface with NLP for Decision Support", "date": "2018-04", "abstract": "Having to read and understand lots of text documents and reports on a daily basis can\nbe quite challenging. The intended audience for these reports has limited resources and\nwants to reduce time spent on reading such reports. Therefore a need for a tool emerges\nthat assists the process of gaining relevant information out of reports/documents more\nquickly. These text documents are often unstructured and of varying length. They are\nwritten in the English language and are available from different sources (such as RSS\nfeeds and text files). The aim of this project is to offer a tool that supports the process of\nanalysing and understanding given texts. This is made possible by using natural language\nprocessing (NLP) and text visualization (TextVis). TextVis is already a well known and\nfrequently used solution. The herein described project uses an NLP pipeline which serves\nas preprocessing for TextVis. To provide quick insight into the data, topic extraction\nmechanisms like Latent Dirichlet Allocation (LDA) or Non-negative Matrix Factorization\n(NMF) are available for the user to be chosen within the aforementioned pipeline. A major\nchallenge for TextVis is the configuration of the NLP pipeline, because there are many\ndifferent ways of doing so and a wide range of parameters to chose from. To overcome this\nissue, this project provides a solution that enables users to easily configure and customize\ntheir own NLP pipeline. It is designed to encourage these users to experiment with\ndifferent sequences of NLP operations and parameter configurations to find a solution\nthat suites them best. In order to keep it easy to use the software, it is implemented\nentirely using web technologies to be accessible in a common web browser. The resulting\nvisualization will emphasize particular parts of the text based on a set of different factors,\nif selected so. These factors can be topics, sentiments and part-of-speech-tagged words.\nThe focus of this work lies on a visual interface that enables and encourages users to\nadjust/optimize the underlying NLP pipeline (by selecting steps and setting parameters)\nand comparing their results. Evaluation with help of user feedback showed that certain\npipeline configurations work better for certain types of texts than others. Using the\nsolution created within this work, users can adapt the tool to their needs and also tweak\nit according to requirements. There is no universal configuration that works for all\ndocuments, however.", "authors_et_al": false, "substitute": null, "main_image": { "description": "detail text view", "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 985, "image_height": 585, "name": "smiech-2018-tei-screenshot.PNG", "type": "image/png", "size": 125879, "path": "Publication:smiech-2018-tei", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-screenshot.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1463 ], "date_end": "2018-04", "date_start": "2017-05", "matrikelnr": "01426853", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "detail text view", "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 985, "image_height": 585, "name": "smiech-2018-tei-screenshot.PNG", "type": "image/png", "size": 125879, "path": "Publication:smiech-2018-tei", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-screenshot.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-screenshot:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "smiech-2018-tei-thesis.pdf", "type": "application/pdf", "size": 1305969, "path": "Publication:smiech-2018-tei", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/", "__class": "Publication" }, { "id": "Furmanova_2018", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "COZOID: contact zone identifier for visual analysis of protein-protein interactions", "date": "2018-04", "abstract": "Background: Studying the patterns of protein-protein interactions (PPIs) is fundamental for understanding thestructure and function of protein complexes. The exploration of the vast space of possible mutual configurations ofinteracting proteins and their contact zones is very time consuming and requires the proteomic expert knowledge.Results:In this paper, we propose a novel tool containing a set of visual abstraction techniques for the guidedexploration of PPI configuration space. It helps proteomic experts to select the most relevant configurations andexplore their contact zones at different levels of detail. The system integrates a set of methods that follow and supportthe workflow of proteomics experts. The first visual abstraction method, the Matrix view, is based on customizedinteractive heat maps and provides the users with an overview of all possible residue-residue contacts in all PPIconfigurations and their interactive filtering. In this step, the user can traverse all input PPI configurations and obtain anoverview of their interacting amino acids. Then, the models containing a particular pair of interacting amino acids canbe selectively picked and traversed. Detailed information on the individual amino acids in the contact zones and theirproperties is presented in the Contact-Zone list-view. The list-view provides a comparative tool to rank the best modelsbased on the similarity of their contacts to the template-structure contacts. All these techniques are interactivelylinked with other proposed methods, the Exploded view and the Open-Book view, which represent individualconfigurations in three-dimensional space. These representations solve the high overlap problem associated withmany configurations. Using these views, the structural alignment of the best models can also be visually confirmed.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 223, "image_height": 172, "name": "Furmanova_2018-image.JPG", "type": "image/jpeg", "size": 15338, "path": "Publication:Furmanova_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1733, 1254, 166, 171, 1734, 1248 ], "doi": " 10.1186/s12859-018-2113-6", "first_published": "2018-04", "journal": "BMC Bioinformatics", "number": "19:125 ", "open_access": "yes", "pages_from": "1", "pages_to": "25", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 223, "image_height": 172, "name": "Furmanova_2018-image.JPG", "type": "image/jpeg", "size": 15338, "path": "Publication:Furmanova_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Furmanova_2018-Paper.pdf", "type": "application/pdf", "size": 5104732, "path": "Publication:Furmanova_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-Paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/", "__class": "Publication" }, { "id": "An-2018-CHI", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Thermorph: Democratizing 4D Printing of Self-Folding Materials and Interfaces", "date": "2018-04", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "An-2018-CHI-image.png", "type": "image/png", "size": 30709, "path": "Publication:An-2018-CHI", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/An-2018-CHI/An-2018-CHI-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/An-2018-CHI/An-2018-CHI-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1582, 1583, 1584, 1585, 1586, 1587, 1588, 1589, 1580, 1464, 1590, 1591 ], "booktitle": "CHI 2018", "event": "CHI 2018", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "An-2018-CHI-image.png", "type": "image/png", "size": 30709, "path": "Publication:An-2018-CHI", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/An-2018-CHI/An-2018-CHI-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/An-2018-CHI/An-2018-CHI-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/An-2018-CHI/", "__class": "Publication" }, { "id": "Birsak2018-SA", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "String Art: Towards Computational Fabrication of String Images", "date": "2018-04", "abstract": "In this paper we propose a novel method for the automatic computation and digital fabrication of artistic string images. String\nart is a technique used by artists for the creation of abstracted images which are composed of straight lines of strings ten-\nsioned between pins distributed on a frame. Together the strings fuse to a perceptible image. Traditionally, artists craft such\nimages manually in a highly sophisticated and tedious design process. To achieve this goal fully automatically we propose a\ncomputational setup driven by a discrete optimization algorithm which takes an ordinary picture as input and converts it into\na connected graph of strings that tries to reassemble the input image best possibly. Furthermore, we propose a hardware setup\nfor automatic digital fabrication of these images using an industrial robot that spans the strings. Finally, we demonstrate the\napplicability of our approach by generating and fabricating a set of real string art images.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 836, "image_height": 411, "name": "Birsak2018-SA-image.png", "type": "image/png", "size": 437058, "path": "Publication:Birsak2018-SA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 836, 1063, 194, 844 ], "date_from": "2018-04-16", "date_to": "2018-04-20", "doi": "10.1111/cgf.13359", "event": "EUROGRAPHICS 2018", "journal": "Computer Graphics Forum (Proc. EUROGRAPHICS 2018)", "lecturer": [ 836 ], "location": "Delft, The Netherlands", "number": "2", "open_access": "yes", "pages": "accepted", "pages_from": "263", "pages_to": "274", "volume": "37", "research_areas": [ "Fabrication", "Modeling" ], "keywords": [], "weblinks": [ { "href": "https://github.com/Exception1984/StringArt", "caption": "Source Code", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 836, "image_height": 411, "name": "Birsak2018-SA-image.png", "type": "image/png", "size": 437058, "path": "Publication:Birsak2018-SA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-image:thumb{{size}}.png" }, { "description": "preprint", "filetitle": "preprint", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Birsak2018-SA-preprint.pdf", "type": "application/pdf", "size": 11581681, "path": "Publication:Birsak2018-SA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-preprint:thumb{{size}}.png" }, { "description": null, "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Birsak2018-SA-slides.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 783112566, "path": "Publication:Birsak2018-SA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-slides.pptx", "thumb_image_sizes": [] }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Birsak2018-SA-video.mp4", "type": "video/mp4", "size": 326776401, "path": "Publication:Birsak2018-SA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-video:video.mp4" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/", "__class": "Publication" }, { "id": "cizmic-2018-evd", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Exploratory Data Visualization Dashboard for Technical Analysis of Commodity Market Indicators", "date": "2018-04", "abstract": "Companies and traders working in the commodity market encounter a variety of different\ndata sets, including numerous economic indicators. The analysis of those indicators and\ntheir connection to certain markets can lead to important insights. The understanding of\nthe market can be improved and predictions of the future market development can be\ncreated. However, dozens of economic indicators exist and one of the main challenges is\nto show a clear overview of the indicators and identify those, which show a correlation\nto a certain market. Software tools are often utilised in order to perform the analysis\nof financial markets. However, according to domain experts, they often hit the limit of\nhuman perception capabilities. This thesis focuses on the development of a prototypical\nweb application dashboard, which enables the user to analyse the relation between\na defined commodity market and different economic indicators. Besides the relation\nbetween one indicator and a given market, the possibility to interactively create one’s own\ncomposite indicator, for comparison with the given market, is implemented. The process\nof creating a composite indicator is another challenge as it requires numerous decisions to\nbe made. The dashboard therefore offers a platform for exploring the different composite\nindicator configurations. Moreover, the web-application provides also some visualization\nand interaction techniques, like highlighting, brushing and details-on-demand to enhance\nthe comparison process and amplify human cognition.", "authors_et_al": false, "substitute": null, "main_image": { "description": "composite indicator view", "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 909, "image_height": 378, "name": "cizmic-2018-evd-screenshot.PNG", "type": "image/png", "size": 63662, "path": "Publication:cizmic-2018-evd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-screenshot.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1462 ], "date_end": "2018-04", "date_start": "2017-05", "matrikelnr": "1425788", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "composite indicator view", "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 909, "image_height": 378, "name": "cizmic-2018-evd-screenshot.PNG", "type": "image/png", "size": 63662, "path": "Publication:cizmic-2018-evd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-screenshot.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-screenshot:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "cizmic-2018-evd-thesis.pdf", "type": "application/pdf", "size": 2131622, "path": "Publication:cizmic-2018-evd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/", "__class": "Publication" }, { "id": "glanz-2017-pbrcomparison", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "A Comparison of Physically Based Rendering Systems", "date": "2018-03-30", "abstract": "In this thesis, a quantitative evaluation is performed to find the most relevant physically based rendering systems in research. As a consequence of this evaluation, the rendering systems Mitsuba, PBRT-v3 and LuxRender are compared to each other and their potential for interoperability is assessed. The goal is to find common materials and light models and analyze the effects of changing the parameters of those models.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Visual comparison of various physically based rendering systems.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1220, "image_height": 1076, "name": "glanz-2017-pbrcomparison-teaser.png", "type": "image/png", "size": 1962544, "path": "Publication:glanz-2017-pbrcomparison", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/glanz-2017-pbrcomparison-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/glanz-2017-pbrcomparison-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1542 ], "date_end": "2018-03-30", "date_start": "2017-03-06", "matrikelnr": "01329106", "supervisor": [ 1129, 193 ], "research_areas": [ "Rendering" ], "keywords": [ "physically based rendering", "Monte Carlo rendering", "pbrt", "Mitsuba", "LuxRender" ], "weblinks": [], "files": [ { "description": "Visual comparison of various physically based rendering systems.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1220, "image_height": 1076, "name": "glanz-2017-pbrcomparison-teaser.png", "type": "image/png", "size": 1962544, "path": "Publication:glanz-2017-pbrcomparison", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/glanz-2017-pbrcomparison-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/glanz-2017-pbrcomparison-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "glanz-2017-pbrcomparison-thesis.pdf", "type": "application/pdf", "size": 34420089, "path": "Publication:glanz-2017-pbrcomparison", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/glanz-2017-pbrcomparison-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/glanz-2017-pbrcomparison-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/", "__class": "Publication" }, { "id": "Purgathofer-2018-HiG", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Wolfgang Straßer Memorial Lecture:\u000bHis Engagement for Vienna and Austria", "date": "2018-03-15", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "event": "HiGraphics'2018", "location": "Riezlern, A", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Purgathofer-2018-HiG/", "__class": "Publication" }, { "id": "Reichinger-2018-TAC", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Pictures in Your Mind: Using Interactive Gesture-Controlled Reliefs to Explore Art", "date": "2018-03", "abstract": "Tactile reliefs offer many benefits over the more classic\n raised line drawings or tactile diagrams, as depth, 3D shape,\n and surface textures are directly perceivable. Although often\n created for blind and visually impaired (BVI) people, a wider\n range of people may benefit from such multimodal material.\n However, some reliefs are still difficult to understand without\n proper guidance or accompanying verbal descriptions, hindering\n autonomous exploration.\n \n In this work, we present a gesture-controlled interactive audio\n guide (IAG) based on recent low-cost depth cameras that can be\n operated directly with the hands on relief surfaces during\n tactile exploration. The interactively explorable,\n location-dependent verbal and captioned descriptions promise\n rapid tactile accessibility to 2.5D spatial information in a\n home or education setting, to online resources, or as a kiosk\n installation at public places.\n \n We present a working prototype, discuss design decisions, and\n present the results of two evaluation studies: the first with 13\n BVI test users and the second follow-up study with 14 test users\n across a wide range of people with differences and difficulties\n associated with perception, memory, cognition, and\n communication. The participant-led research method of this\n latter study prompted new, significant and innovative\n developments.\n", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 879, 1573, 1574, 1575, 1576, 1577, 1578, 204, 228, 190 ], "journal": "ACM Transactions on Accessible Computing", "number": "2", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reichinger-2018-TAC/", "__class": "Publication" }, { "id": "Reiter2017CVAP", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Comparative Visualization of Pelvic Organ Segmentations", "date": "2018-03", "abstract": "Automatic segmentation of pelvic organs plays a major role in prostate cancer treatment and has high accuracy requirements. Segmentation experts are continuously working on improving their algorithms. However, natural anatomical variability of organs and structures is a common reason for which segmentation algorithms fail. Understanding why\nan algorithm fails in a specific case is of major importance. Segmentation experts expect that the shape and size of the organs can play an important role in the performance of their algorithms, but current means of exploration and analysis are limited and do not provide the necessary insight.\nThis thesis discusses the design and implementation of a web-based application allowing for easy exploration and analysis of shape variability in order to generate hypotheses about the relation between algorithm performance and shape of organs. A new way of comparatively visualizing multiple organs of multiple patients is introduced for a detailed shape comparison. The application was tested with segmentation meshes of a cohort of\n17 patients, each consisting of four pelvic organs and two organ-interfaces, which are\nlabeled and have per-triangle correspondence. The proposed tools already allow users to quickly identify mis-segmented organs and hypothesize about the relation of variability to anatomical features as well as segmentation quality. The approach was applied on pelvic organ segmentations, but it can be extended to other applications like comparison\nof segmentation algorithms or analysis of anatomical variability in general.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 385, "image_height": 345, "name": "Reiter2017CVAP-image.JPG", "type": "image/jpeg", "size": 23399, "path": "Publication:Reiter2017CVAP", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/Reiter2017CVAP-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/Reiter2017CVAP-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1479 ], "date_end": "2018-03-04", "date_start": "2017-04-01", "matrikelnr": "01226942", "supervisor": [ 1410, 166 ], "research_areas": [ "MedVis" ], "keywords": [ "comparative visualization", "statistical shape analysis" ], "weblinks": [ { "href": "https://www.cg.tuwien.ac.at/courses/projekte/comparative-visualization-pelvic-organ-segmentations ", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 385, "image_height": 345, "name": "Reiter2017CVAP-image.JPG", "type": "image/jpeg", "size": 23399, "path": "Publication:Reiter2017CVAP", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/Reiter2017CVAP-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/Reiter2017CVAP-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reiter2017CVAP-Master Thesis.pdf", "type": "application/pdf", "size": 12069547, "path": "Publication:Reiter2017CVAP", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/Reiter2017CVAP-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/Reiter2017CVAP-Master Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/", "__class": "Publication" }, { "id": "Szabo-2018-DA", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "A Composable and Reusable Photogrammetric Reconstruction Library", "date": "2018-03", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1002 ], "date_end": "2018-03", "date_start": "2017-10", "matrikelnr": "00925269", "note": "1", "supervisor": [ 228, 190 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": "We identify the\nsame feature in\ntwo images.\nFeatures must\nlook and move\nsimilarly across\nviewpoints.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1240, "image_height": 466, "name": "Szabo-2018-DA-image.png", "type": "image/png", "size": 796141, "path": "Publication:Szabo-2018-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Szabo-2018-DA-poster.pdf", "type": "application/pdf", "size": 673550, "path": "Publication:Szabo-2018-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Szabo-2018-DA-thesis.pdf", "type": "application/pdf", "size": 10276451, "path": "Publication:Szabo-2018-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/", "__class": "Publication" }, { "id": "santos-2017-dacge", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Distinctive Approaches to Computer Graphics Education", "date": "2018-02", "abstract": "This paper presents the latest advances and research in Computer Graphics education in a nutshell. It is concerned with topics that were presented at the Education Track of the Eurographics Conference held in Lisbon in 2016. We describe works corresponding to approaches to Computer Graphics education that are unconventional in some way and attempt to tackle unsolved problems and challenges regarding the role of arts in computer graphics education, the role of research-oriented activities in undergraduate education and the interaction among different areas of Computer Graphics, as well as their application to courses or extra-curricular activities. We present related works addressing these topics and report experiences, successes and issues in implementing the approaches.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1503, 1504, 1505, 1506, 583, 1507, 1303, 1256, 266, 730, 1508, 193, 1509 ], "doi": "10.1111/cgf.13305", "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "1", "pages_from": "403", "pages_to": "412", "volume": "37", "research_areas": [], "keywords": [ "Computer Graphics Education" ], "weblinks": [], "files": [], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/santos-2017-dacge/", "__class": "Publication" }, { "id": "polatsek-2018-stv", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Exploring visual attention and saliency modeling for task-based visual analysis", "date": "2018-02", "abstract": "Memory, visual attention and perception play a critical role in the design of visualizations. The way users observe a visualization is affected by salient stimuli in a scene as well as by domain knowledge, interest, and the task. While recent saliency models manage to predict the users’ visual attention in visualizations during exploratory analysis, there is little evidence how much influence bottom-up saliency has on task-based visual analysis. Therefore, we performed an eye-tracking study with 47 users to determine the users’ path of attention when solving three low-level analytical tasks using 30 different charts from the MASSVIS database [1]. We also compared our task-based eye tracking data to the data from the original memorability experiment by Borkin et al. [2]. We found that solving a task leads to more consistent viewing patterns compared to exploratory visual analysis. However, bottom-up saliency of a visualization has negligible influence on users’ fixations and task efficiency when performing a low-level analytical task. Also, the efficiency of visual search for an extreme target data point is barely influenced by the target’s bottom-up saliency. Therefore, we conclude that bottom-up saliency models tailored towards information visualization are not suitable for predicting visual attention when performing task-based visual analysis. We discuss potential reasons and suggest extensions to visual attention models to better account for task-based visual analysis.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "graphical abstract", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 591, "image_height": 584, "name": "polatsek-2018-stv-graphical abstract.png", "type": "image/png", "size": 193042, "path": "Publication:polatsek-2018-stv", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-graphical abstract.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-graphical abstract:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1545, 1110, 171, 1546, 1547 ], "doi": "https://doi.org/10.1016/j.cag.2018.01.010", "journal": "Computers & Graphics", "number": "2", "open_access": "no", "research_areas": [ "InfoVis", "Perception" ], "keywords": [ "Information visualization", "Eye-tracking experiment", "Saliency", "Visual attention", "Low-level analytical tasks" ], "weblinks": [ { "href": "https://www.sciencedirect.com/science/article/pii/S0097849318300104", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "graphical abstract", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 591, "image_height": 584, "name": "polatsek-2018-stv-graphical abstract.png", "type": "image/png", "size": 193042, "path": "Publication:polatsek-2018-stv", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-graphical abstract.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-graphical abstract:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "polatsek-2018-stv-paper.pdf", "type": "application/pdf", "size": 3228380, "path": "Publication:polatsek-2018-stv", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/", "__class": "Publication" }, { "id": "wu-2018-JVLC", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Overlap-Free Labeling of Clustered Networks Based on Voronoi Tessellation", "date": "2018-02", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2018-JVLC-teaser.png", "type": "image/png", "size": 23010, "path": "Publication:wu-2018-JVLC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1580, 1581 ], "journal": "Journal of Visual Languages & Computing", "number": "44", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2018-JVLC-paper.pdf", "type": "application/pdf", "size": 6440310, "path": "Publication:wu-2018-JVLC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2018-JVLC-teaser.png", "type": "image/png", "size": 23010, "path": "Publication:wu-2018-JVLC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/", "__class": "Publication" }, { "id": "gersthofer-2016-sosob", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Reduced-Order Shape Optimization Using Offset Surfaces in Blender", "date": "2018-02", "abstract": "The advance of 3D printers’ capabilities and their sinking costs led to a huge trend of\npersonal and commercial fabrication. But those advances were restricted to the hardware\nside meaning that there was a lack of software to optimize the digital models before printing. This was necessary because physical properties like mass, center of mass or moments of inertia, were neglected in the design of digital 3D models. Those properties play an important role in the behavior of a real-world object. Examples of an objects behavior are the ability to stand in a specific pose, float in the water or stably rotate around a certain axis.\nIn the last few years methods have been presented to optimize digital models by altering\nspecific regions of their volume in order to change their physical properties and therefore\nto prepare them for printing. A recently presented method forms the basis of this thesis.\nDue to its flexibility and performance it is well suited to be integrated into current 3D modeling applications. The algorithm was implemented as a C/C++ library which can be integrated in almost every application. Afterwards this library was integrated into the open source 3D modeling application Blender as a modifier. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 482, "image_height": 517, "name": "gersthofer-2016-sosob-image.png", "type": "image/png", "size": 103557, "path": "Publication:gersthofer-2016-sosob", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1292 ], "co_supervisor": [ 193 ], "date_end": "2018-02-22", "date_start": "2015-11", "matrikelnr": "1325669", "supervisor": [ 844 ], "research_areas": [ "Fabrication", "Geometry", "Modeling" ], "keywords": [ "geometry processing", "shape optimization", "blender plugin" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 482, "image_height": 517, "name": "gersthofer-2016-sosob-image.png", "type": "image/png", "size": 103557, "path": "Publication:gersthofer-2016-sosob", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "gersthofer-2016-sosob-thesis.pdf", "type": "application/pdf", "size": 18799264, "path": "Publication:gersthofer-2016-sosob", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/", "__class": "Publication" }, { "id": "Bauer_Dominik_2018_VR", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Evaluation of the Recognition Distances of Safety Signs in VR Considering Vision Impairments", "date": "2018-02", "abstract": "To facilitate the safe evacuation of buildings, escape-route safety signs need to be placed\nalong the whole escape route such that they are legible for building occupants. While\nstandards and legal requirements provide suggestions on how to select and place safety\nsigns to achieve this, they do not provide sufficient considerations concerning people\nsuffering from vision impairments. A main cause of vision impairment are age-related\neye diseases, with the most common symptom being the loss of visual acuity.\n\nWe investigate the influence of visual acuity on the ability to recognize safety signs using\na novel methodology, evaluating existing standards concerning vision impairments: We\ncalibrate the visual acuity of the test subjects to the same level via a standardized medical\ntest in VR. This is achieved by using test subjects with normal or corrected vision and\nsimulating the impairment in VR. Furthermore, we present a tool for lighting designers\nwhich enables them to check their designs considering maximum recognition distances to\ninvestigate problematic areas along an escape route.\n\nUsing our novel user-study methodology, we determined the recognition distances for\nsafety signs, observed under two different levels of visual acuity and varying observation\nangles. In addition, we determined the impact of the HTC Vive’s HMD on the visual\nacuity achievable in VR. We conclude that the existing standards fail to correctly estimate\nthe maximum recognition distances of safety signs for observers suffering from reduced\nvisual acuity.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 640, "image_height": 700, "name": "Bauer_Dominik_2018_VR-image.PNG", "type": "image/png", "size": 363350, "path": "Publication:Bauer_Dominik_2018_VR", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1551 ], "date_end": "2018-02-27", "date_start": "2017-02", "diploma_examina": "2018-02-27", "matrikelnr": "1227005", "supervisor": [ 193, 1030 ], "research_areas": [ "Rendering" ], "keywords": [ "virtual reality", "vision impairment simulation", "emergency lighting" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 640, "image_height": 700, "name": "Bauer_Dominik_2018_VR-image.PNG", "type": "image/png", "size": 363350, "path": "Publication:Bauer_Dominik_2018_VR", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image:thumb{{size}}.png" }, { "description": null, "filetitle": "image2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 675, "image_height": 675, "name": "Bauer_Dominik_2018_VR-image2.PNG", "type": "image/png", "size": 118063, "path": "Publication:Bauer_Dominik_2018_VR", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image2.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image2:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Bauer_Dominik_2018_VR-poster.pdf", "type": "application/pdf", "size": 4262784, "path": "Publication:Bauer_Dominik_2018_VR", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Bauer_Dominik_2018_VR-thesis.pdf", "type": "application/pdf", "size": 20239365, "path": "Publication:Bauer_Dominik_2018_VR", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Bauer_Dominik_2018_VR-video.mp4", "type": "video/mp4", "size": 20669319, "path": "Publication:Bauer_Dominik_2018_VR", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-video:video.mp4" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/", "__class": "Publication" }, { "id": "koch-2018-sso", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Semantic Screen-Space Occlusion for Multiscale Molecular Visualization", "date": "2018-01-01", "abstract": "When visualizing large biological data sets the problem of visual clutter arises. This\nproblem is often counteracted with level of detail schemes and appropriate coloring of the visualized structures. Ambient occlusion and shadows are often used in order to improve the depth perception which however promote visual clutter when used excessively. In this work an approach is explored to utilize screen-space shading techniques to reduce the visual clutter by using hierarchy information that is provided with molecular models.\nThis is achieved by selectively applying screen-space shading techniques based on the semantics of the visualized hierarchically structured data. This technique is demonstrated by implementing a hierarchy-aware version of screen-space directional occlusion and screen-space ray traced shadows into Marion, an interactive rendering system to visualize biological data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 206, "image_height": 163, "name": "koch-2018-sso-image.JPG", "type": "image/jpeg", "size": 13053, "path": "Publication:koch-2018-sso", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/koch-2018-sso-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/koch-2018-sso-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1604 ], "co_supervisor": [ 1383 ], "date_end": "2018-01-01", "date_start": "2017-07-06", "matrikelnr": "01526232", "supervisor": [ 171 ], "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": null, "preview_image_height": null, "name": "koch-2018-sso-Bachelor Thesis.pdf", "type": "application/pdf", "size": 19662384, "path": "Publication:koch-2018-sso", "preview_name": "koch-2018-sso-Bachelor Thesis:preview.pdf", "preview_type": "application/pdf", "preview_size": 19662384, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/koch-2018-sso-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/koch-2018-sso-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 206, "image_height": 163, "name": "koch-2018-sso-image.JPG", "type": "image/jpeg", "size": 13053, "path": "Publication:koch-2018-sso", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/koch-2018-sso-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/koch-2018-sso-image:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/", "__class": "Publication" }, { "id": "lipp-2017-mgpu", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visualization of Fiber Orientation in Glass Fiber Reinforced Polymers", "date": "2018-01", "abstract": "Fiber-reinforced composites are materials used for their extraordinary characteristics. The importance of these materials is constantly increasing, therefore, a wide range of variations exists of this material. Types range from Carbon Fiber Reinforced Polymer to Fiber-reinforced Foamed Urethane and more. Fiber-reinforced composites are lightweight,\nstrong, and durable, among others and are therefore used for printed circuit boards,\nrailway sleepers, airplanes or Formula 1 vehicles. To assure that these materials provide the required quality, they need to be tested and analyzed. To analyze these materials or to be more exact, the fibers within, special tools are needed. The first step is to scan the material with a X-ray Computed Tomography (CT) and save it as a volumetric CT-image on a computer. Now this data can be used to analyze the structure and find flaws in the dataset. In this thesis, a program for a later integration in a software called open_iA to extend its range of features, is developed. Purpose of the developed program is to analyze the orientation of fibers in a dataset. The result will be visualized with two different graphs. One shows the orientation of the fibers, while the other shows how\nmany fibers are visible to the analyst. With the option of different configurations, it is possible to further specify these visualizations and get a better understanding of the underlying data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 475, "image_height": 225, "name": "lipp-2017-mgpu-image.JPG", "type": "image/jpeg", "size": 32501, "path": "Publication:lipp-2017-mgpu", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1525 ], "date_end": "2018-01-25", "date_start": "2017", "matrikelnr": "1425235", "supervisor": [ 166 ], "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "lipp-2017-mgpu-Bachelor Thesis.pdf", "type": "application/pdf", "size": 3396459, "path": "Publication:lipp-2017-mgpu", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 475, "image_height": 225, "name": "lipp-2017-mgpu-image.JPG", "type": "image/jpeg", "size": 32501, "path": "Publication:lipp-2017-mgpu", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-image:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/", "__class": "Publication" }, { "id": "miao_tvcg_2018", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Multiscale Visualization and Scale-adaptive Modification of DNA Nanostructures", "date": "2018-01", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1640, "image_height": 951, "preview_image_width": 1640, "preview_image_height": 951, "name": "miao_tvcg_2018-image.png", "type": "image/png", "size": 1020459, "path": "Publication:miao_tvcg_2018", "preview_name": "miao_tvcg_2018-image:preview.png", "preview_type": "image/png", "preview_size": 1020459, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263, 1474, 1072, 1471, 1472, 960, 166, 1473, 171 ], "date_from": "2017-01-01", "date_to": "2017-12-10", "event": "IEEE Vis 2017", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1263 ], "number": "1", "volume": "24", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [ { "href": "https://vimeo.com/238853739", "caption": "VIS presentation", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1640, "image_height": 951, "preview_image_width": 1640, 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"https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/", "__class": "Publication" }, { "id": "rraidou_clinical", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Uncertainty evaluation of image-based tumour control probability models in radiotherapy of prostate cancer using a visual analytic tool", "date": "2018-01", "abstract": "Functional imaging techniques provide radiobiological information that can be included into tumour control probability (TCP) models to enable individualized outcome predictions in radiotherapy. However, functional imaging and the derived radiobiological information are influenced by uncertainties, translating into variations in individual TCP predictions. In this study we applied a previously developed analytical tool to quantify dose and TCP uncertainty bands when initial cell density is estimated from MRI-based apparent diffusion coefficient maps of eleven patients. TCP uncertainty bands of 16% were observed at patient level, while dose variations bands up to 8 Gy were found at voxel level for an iso-TCP approach.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1444, 1410, 1447, 459, 1445 ], "journal": "Physics and Imaging in Radiation Oncology", "number": "5", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [ { "href": "http://www.phiro.science/article/S2405-6316(17)30058-1/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": 512, "preview_image_height": 512, "name": "rraidou_clinical-paper.pdf", "type": "application/pdf", "size": 748527, "path": "Publication:rraidou_clinical", "preview_name": "rraidou_clinical-paper:preview.jpg", "preview_type": "image/jpeg", "preview_size": 37473, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/rraidou_clinical/rraidou_clinical-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/rraidou_clinical/rraidou_clinical-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/rraidou_clinical/", "__class": "Publication" }, { "id": "Strohmayer-2018-BT", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "A Visual Analytics Approach to Hypocotyl/Root Transition Detection in Arabidopsis Thaliana", "date": "2018-01", "abstract": "Plant root phenotyping can be a tedious process if done manually, since it typically requires large data sets to be processed. The solution to this problem are automatic phenotyping pipelines, which allow significantly higher throughput than manual methods, by eliminating the need for human intervention. These pipelines rely on the robustness of automatic segmentation and detection methods for various plant characteristics. Due to numerous confounding factors, the detection of the hypocotyl/root transition point is still an unsolved task. In this thesis a novel approach to this problem, utilizing Statistical Break Point Analysis based on custom plant features, is presented. The approach has been developed using a visual analytics framework called PlateViewer, which was especially built for this task. The framework is able to analyze individual Arabidopsis Thaliana seedlings, taken from agar plate scan images, produced by an automatic phenotyping pipeline.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 920, "image_height": 1182, "name": "Strohmayer-2018-BT-image.png", "type": "image/png", "size": 560681, "path": "Publication:Strohmayer-2018-BT", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/Strohmayer-2018-BT-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/Strohmayer-2018-BT-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1540 ], "date_end": "2018-01", "date_start": "2017-08", "matrikelnr": "01426125", "supervisor": [ 1195 ], "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 920, "image_height": 1182, "name": "Strohmayer-2018-BT-image.png", "type": "image/png", "size": 560681, "path": "Publication:Strohmayer-2018-BT", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/Strohmayer-2018-BT-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/Strohmayer-2018-BT-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 920, "preview_image_height": 1182, "name": "Strohmayer-2018-BT-Thesis.pdf", "type": "application/pdf", "size": 6376986, "path": "Publication:Strohmayer-2018-BT", "preview_name": "Strohmayer-2018-BT-Thesis:preview.png", "preview_type": "image/png", "preview_size": 560681, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/Strohmayer-2018-BT-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/Strohmayer-2018-BT-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/", "__class": "Publication" }, { "id": "klein_2017_IM", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Instant Construction and Visualization of Crowded Biological Environments", "date": "2018", "abstract": "We present the first approach to integrative structural modeling of the biological mesoscale within an interactive visual environment. These complex models can comprise up to millions of molecules with defined atomic structures, locations, and interactions. Their construction has previously been attempted only within a non-visual and non-interactive environment. Our solution unites the modeling and visualization aspect, enabling interactive construction of atomic resolution mesoscale models of large portions of a cell. We present a novel set of GPU algorithms that build the basis for the rapid construction of complex biological structures. These structures consist of multiple membrane-enclosed compartments including both soluble molecules and fibrous structures. The compartments are defined using volume voxelization of triangulated meshes. For membranes, we present an extension of the Wang\nTile concept that populates the bilayer with individual lipids. Soluble molecules are populated within compartments using the Halton\nsequence for their distribution. Fibrous structures, such as RNA or actin filaments, are created by self-avoiding random walks. Resulting overlaps of molecules are resolved by a forced-based system. Our approach opens new possibilities to the world of interactive\nconstruction of cellular compartments. We demonstrate its effectiveness by showcasing scenes of different scale and complexity that\ncomprise blood plasma, mycoplasma, and HIV.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 1726, "preview_image_height": 760, "name": "klein_2017_IM-image.png", "type": "image/png", "size": null, "path": "Publication:klein_2017_IM", "preview_name": "klein_2017_IM-image:preview.png", "preview_type": "image/png", "preview_size": 706858, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1285, 1260, 1248, 1365, 1475, 166, 171 ], "doi": 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"filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "klein_2017_IM-paper.pdf", "type": "application/pdf", "size": 26450869, "path": "Publication:klein_2017_IM", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/", "__class": "Publication" }, { "id": "lawonn-2018-illvisstar", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "A Survey of Surface-Based Illustrative Rendering for Visualization", "date": "2018", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1544, 171, 563, 960 ], "doi": "10.1111/cgf.13322", "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "NN", "open_access": "no", "pages": "n/a–n/a", "research_areas": [ "IllVis" ], "keywords": [ "scientific visualization", "visualization", "Categories and SubjectDescriptors (according to ACM CCS): I.3.3 [Computer Graphics]:Picture/Image GenerationLine and curve generation" ], "weblinks": [], "files": [], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lawonn-2018-illvisstar/", "__class": "Publication" }, { "id": "wu-2017-dagstuhl", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Mapifying the Genome, Scalable Set Visualizations (Dagstuhl Seminar 17332)", "date": "2018", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1677, 1678, 1679, 1464 ], "number": "TR-193-02-2018-2", "open_access": "yes", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://doi.org/10.4230/DagRep.7.8.1", "caption": "Dagstuhl Seminar 17332", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2017-dagstuhl-paper.pdf", "type": "application/pdf", "size": 3647552, "path": "Publication:wu-2017-dagstuhl", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2017-dagstuhl/wu-2017-dagstuhl-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2017-dagstuhl/wu-2017-dagstuhl-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2017-dagstuhl/", "__class": "Publication" }, { "id": "raidou_2018_bladderrunner", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Bladder Runner: Visual Analytics for the Exploration of RT-Induced Bladder Toxicity in a Cohort Study", "date": "2018", "abstract": "We present the Bladder Runner, a novel tool to enable detailed visual exploration and analysis of the impact of bladder shape variation on the accuracy of dose delivery, during the course of prostate cancer radiotherapy (RT). Our tool enables the investigation of individual patients and cohorts through the entire treatment process, and it can give indications of RT-induced complications for the patient. In prostate cancer RT treatment, despite the design of an initial plan prior to dose administration, bladder toxicity remains very common. The main reason is that the dose is delivered in multiple fractions over a period of weeks, during which, the anatomical variation of the bladder - due to differences in urinary filling - causes deviations between planned and delivered doses. Clinical researchers want to correlate bladder shape variations to dose deviations and toxicity risk through cohort studies, to understand which specific bladder shape characteristics are more prone to side effects. This is currently done with Dose-Volume Histograms (DVHs), which provide limited, qualitative insight. The effect of bladder variation on dose delivery and the resulting toxicity cannot be currently examined with the DVHs. To address this need, we designed and implemented the Bladder Runner, which incorporates visualization strategies in a highly interactive environment with multiple linked views. Individual patients can be explored and analyzed through the entire treatment period, while inter-patient and temporal exploration, analysis and comparison are also supported. We demonstrate the applicability of our presented tool with a usage scenario, employing a dataset of 29 patients followed through the course of the treatment, across 13 time points. We conducted an evaluation with three clinical researchers working on the investigation of RT-induced bladder toxicity. All participants agreed that Bladder Runner provides better understanding and new opportunities for the exploration and analysis of the involved cohort data.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410, 1444, 1170, 1568, 1445, 1569, 459, 166 ], "date_from": "2018-06", "date_to": "2018-06", "doi": "10.1111/cgf.13413", "event": "EuroVis 2018", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1410 ], "number": "3", "pages": "205-216", "pages_from": "205", "pages_to": "216", "volume": "37", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": 1739, "preview_image_height": 707, "name": "raidou_2018_bladderrunner-Paper.pdf", "type": "application/pdf", "size": 2076364, "path": "Publication:raidou_2018_bladderrunner", "preview_name": "raidou_2018_bladderrunner-Paper:preview.jpg", "preview_type": "image/jpeg", "preview_size": 247274, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_2018_bladderrunner/raidou_2018_bladderrunner-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_2018_bladderrunner/raidou_2018_bladderrunner-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Video", "main_file": true, "use_in_gallery": true, "access": "public", "name": "raidou_2018_bladderrunner-Video.mp4", "type": "video/mp4", "size": 69890898, "path": "Publication:raidou_2018_bladderrunner", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_2018_bladderrunner/raidou_2018_bladderrunner-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_2018_bladderrunner/raidou_2018_bladderrunner-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_2018_bladderrunner/raidou_2018_bladderrunner-Video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_2018_bladderrunner/", "__class": "Publication" }, { "id": "raidou_bestphd", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "EuroVis Best PhD Award 2018—Visual Analytics for Digital Radiotherapy: Towards a Comprehensible Pipeline", "date": "2018", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 719, "image_height": 997, "name": "raidou_bestphd-.jpg", "type": "image/jpeg", "size": 182727, "path": "Publication:raidou_bestphd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_bestphd/raidou_bestphd-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_bestphd/raidou_bestphd-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410 ], "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 719, "image_height": 997, "name": "raidou_bestphd-.jpg", "type": "image/jpeg", "size": 182727, "path": "Publication:raidou_bestphd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_bestphd/raidou_bestphd-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_bestphd/raidou_bestphd-:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_bestphd/", "__class": "Publication" }, { "id": "raidou2018_rv3", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Uncertainty Visualization: Recent Developments and Future Challenges inProstate Cancer Radiotherapy Planning", "date": "2018", "abstract": "Radiotherapy is one of the most common treatment strategy for prostate cancer. Prior to radiotherapy, a complex process consisting of several steps is employed to create an optimal treatment plan. However, all these steps include several sources of uncertainty, which can be detrimental for the successful outcome of the treatment. In this work, we present a number of strategies from the field of Visual Analytics that have been recently designed and implemented, for the visualization of data, processes and uncertainties at each step of the planning pipeline. We additionally document our opinion on topics that have not been yet addressed, and could be interesting directions for future work.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410 ], "booktitle": "EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3) 2018", "date_from": "2018", "date_to": "2018", "event": "EuroRV3", "journal": "EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3) 2018", "pages": "013-017", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "name": "raidou2018_rv3-Image.pdf", "type": "application/pdf", "size": 556976, "path": "Publication:raidou2018_rv3", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018_rv3/raidou2018_rv3-Image.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018_rv3/raidou2018_rv3-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": null, "preview_image_height": null, "name": "raidou2018_rv3-Paper.pdf", "type": "application/pdf", "size": 663354, "path": "Publication:raidou2018_rv3", "preview_name": "raidou2018_rv3-Paper:preview.pdf", "preview_type": "application/pdf", "preview_size": 556976, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018_rv3/raidou2018_rv3-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018_rv3/raidou2018_rv3-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018_rv3/", "__class": "Publication" }, { "id": "dietrich-2016-viseq2", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "\tSmart Visibility Technique for Linear and Planar Molecular Assemblies", "date": "2018", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1169, "image_height": 691, "name": "dietrich-2016-viseq2-image.jpg", "type": "image/jpeg", "size": 172846, "path": "Publication:dietrich-2016-viseq2", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1384 ], "date_end": "2018-05", "date_start": "2016-10", "matrikelnr": "1026167", "note": "3", "supervisor": [ 171 ], "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1169, "image_height": 691, "name": "dietrich-2016-viseq2-image.jpg", "type": "image/jpeg", "size": 172846, "path": "Publication:dietrich-2016-viseq2", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "dietrich-2016-viseq2-thesis.pdf", "type": "application/pdf", "size": 5627773, "path": "Publication:dietrich-2016-viseq2", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/", "__class": "Publication" }, { "id": "EuroVis2018-ShortPapers-Karall", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "ChemoExplorer: A Dashboard for the Visual Analysis of ChemotherapyResponse in Breast Cancer Patients", "date": "2018", "abstract": "In breast cancer chemotherapy treatment, different alternative strategies can be employed. Clinical researchers working on the optimization of chemotherapy strategies need to analyze the progress of the treatment and to understand how different groups of patients respond to selected therapies. This is a challenging task, because of the multitude of imaging and non-imaging health record data involved. We, hereby, introduce a web-based dashboard that facilitates the comparison and analysis of publicly available breast cancer chemotherapy response data, consisting of a follow-up study of 63 patients. Each patient received one of two available therapeutic strategies and their treatment response was documented. Our dashboard provides an initial basis for clinical researchers working on chemotherapy optimization, to analyze the progress of treatment and to compare the response of (groups of) patients with distinct treatment characteristics. Our approach consists of multiple linked representations that provide interactive views on different aspects of the available imaging and non-imaging data. To illustrate the functionality of the ChemoExplorer, we conducted a usage scenario that shows the initial results of our work.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "name": "EuroVis2018-ShortPapers-Karall-.mp4", "type": "video/mp4", "size": 36056866, "path": "Publication:EuroVis2018-ShortPapers-Karall", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-:video.mp4" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1480, 166, 1410 ], "date_from": "2018-06", "date_to": "2018-06", "doi": "10.2312/eurovisshort.20181077", "event": "EuroVis 2018", "journal": "Computer Graphics Forum", "pages": "049-053", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "name": "EuroVis2018-ShortPapers-Karall-.mp4", "type": "video/mp4", "size": 36056866, "path": "Publication:EuroVis2018-ShortPapers-Karall", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-:video.mp4" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": null, "preview_image_height": null, "name": "EuroVis2018-ShortPapers-Karall-Paper.pdf", "type": "application/pdf", "size": 1251937, "path": "Publication:EuroVis2018-ShortPapers-Karall", "preview_name": "EuroVis2018-ShortPapers-Karall-Paper:preview.pdf", "preview_type": "application/pdf", "preview_size": 787536, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/", "__class": "Publication" }, { "id": "EuroVis2018-ShortPapers-Reiter", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Comparative Visual Analysis of Pelvic Organ Segmentations", "date": "2018", "abstract": "In prostate cancer treatment, automatic segmentations of the pelvic organs are often used as input to radiotherapy planning systems. However, natural anatomical variability of the involved organs is a common reason, for which segmentation algorithms fail, introducing errors in the radiotherapy treatment procedure, as well. Understanding how the shape and size of these organs affect the accuracy of segmentation is of major importance for developers of segmentation algorithms. However, current means of exploration and analysis provide limited insight. In this work, we discuss the design and implementation of a web-based framework, which enables easy exploration and detailed analysis of shape variability, and allows the intended users - i.e., segmentation experts - to generate hypotheses in relation to the performance of the involved algorithms. Our proposed approach was tested with segmentation meshes from a small cohort of 17 patients. Each mesh consists of four pelvic organs and two organ interfaces, which are labeled and have per-triangle correspondences. A usage scenario and an initial informal evaluation with a segmentation expert demonstrate that our framework allows the developers of the algorithms to quickly identify inaccurately segmented organs and to deliberate about the relation of variability to anatomical features and segmentation quality.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1479, 679, 166, 1410 ], "cfp": { "name": "Doc1.pdf", "type": "application/pdf", "error": "0", "size": "81198", "orig_name": "Doc1.pdf", "ext": "pdf" }, "date_from": "2018-06", "date_to": "2018-06", "doi": "10.2312/eurovisshort.20181075", "event": "EuroVis 2018", "journal": "Computer Graphics Forum", "pages": "037-041", "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://diglib.eg.org/handle/10.2312/eurovisshort20181075", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Honorable Mention ", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1745, "image_height": 1309, "name": "EuroVis2018-ShortPapers-Reiter-Honorable Mention .jpg", "type": "image/jpeg", "size": 133647, "path": "Publication:EuroVis2018-ShortPapers-Reiter", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-Honorable Mention .jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-Honorable Mention :thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": null, "preview_image_height": null, "name": "EuroVis2018-ShortPapers-Reiter-paper.pdf", "type": "application/pdf", "size": 986839, "path": "Publication:EuroVis2018-ShortPapers-Reiter", "preview_name": "EuroVis2018-ShortPapers-Reiter-paper:preview.pdf", "preview_type": "application/pdf", "preview_size": 296777, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Video", "main_file": true, "use_in_gallery": true, "access": "public", "name": "EuroVis2018-ShortPapers-Reiter-Video.mp4", "type": "video/mp4", "size": 41963961, "path": "Publication:EuroVis2018-ShortPapers-Reiter", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-Video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/", "__class": "Publication" }, { "id": "heinzl-2018-ct-book", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "Processing, Analysis and Visualization of CT Data in Industrial X-Ray Computed Tomography", "date": "2018", "abstract": "In an almost inexhaustible multitude of possibilities, CT allows to inspect highly complex systems and materials. Compared to other testing techniques CT provides results in a quick way: It is nondestructive and does not interfere with the specimen, it allows non-touching characterizations and what is most important CT allows to characterize hidden or internal features. However, CT would not have reached its current status in engineering without the achievements and possibilities in data processing. Only through processing, analysis and visualization of CT data, detailed insights into previously unachievable analyses are facilitated. Novel means of data analysis and visualization illustrate highly complex problems by means of clear and easy to understand renderings. In this chapter, we explore various aspects starting from the generalized data analysis pipeline, aspects of processing, analysis and visualization for metrology, nondestructive testing as well as specialized analyses.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 611, 1170, 571 ], "booktitle": "Processing, Analysis and Visualization of CT Data", "pages_from": "99", "pages_to": "142", "publisher": "Springer", "research_areas": [ "VisMat" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/heinzl-2018-ct-book/", "__class": "Publication" }, { "id": "miao_kaust_2018", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Abstraction and Modeling in DNA Nanotechnology", "date": "2017-12-14", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263 ], "date_from": "2018-12-14", "date_to": "2018-12-14", "event": "Workshop @ Visual Computing Center, KAUST", "location": "King Abdullah University of Science and Technology, Saudi Arabia", "research_areas": [ "IllVis", "Modeling" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_kaust_2018/", "__class": "Publication" }, { "id": "kroesl_x_card_2017", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2017", "date": "2017-12", "abstract": "This Christmas we want to illuminate your holidays with luminaires specifically designed for this occasion. The festive scene on this card features semi-translucent luminaires in the shape of christmas trees. The light distribution of the corresponding luminaire model was simulated in LiteMaker,an interactive luminaire development tool that was developed at TU Wien and VRVis. LiteMaker provides interactive editing functionality and very fast high-quality previews of the final physically correct simulated light distribution of a luminaire model. The final scene and light distributions were rendered using our light­\nplanning software HILITE.\n\nDie weihnachtliche Szene auf dieser Karte wird durch Leuchten in Form von Christbäumen erhellt. Für das Lichtdesign der Szene wurde LiteMaker verwendet, ein an der TU Wien und am VRVis entwickeltes interaktives Entwicklungswerkzeug fur Beleuchtungskörper. Durch interaktives Bearbeiten, und sehr schnelle aber dennoch hochwertige physikalisch korrekte Vorschaubilder, ermöglicht LiteMaker ein rascheres Design von Beleuchtungskonzepten. Die fertige Szene wurde anschließend in unserer Lichtsimuationssoftware HILITE gerendert.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "X max 2017", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1030, "image_height": 730, "name": "kroesl_x_card_2017-X max 2017.JPG", "type": "image/jpeg", "size": 83593, "path": "Publication:kroesl_x_card_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X max 2017.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X max 2017:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030, 1116 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "X Mas card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl_x_card_2017-X Mas card.pdf", "type": "application/pdf", "size": 998745, "path": "Publication:kroesl_x_card_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X Mas card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X Mas card:thumb{{size}}.png" }, { "description": null, "filetitle": "X max 2017", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1030, "image_height": 730, "name": "kroesl_x_card_2017-X max 2017.JPG", "type": "image/jpeg", "size": 83593, "path": "Publication:kroesl_x_card_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X max 2017.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X max 2017:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/", "__class": "Publication" }, { "id": "steiner_2016_isad", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Integrated Structural-Architectural Design for Interactive Planning", "date": "2017-12", "abstract": "Traditionally, building floorplans are designed by architects with their usability, functionality, and architectural aesthetics in mind, however, the structural properties of the distribution of load-bearing walls and columns are usually not taken into account at this stage. In this paper we propose a novel approach for the design of architectural floorplans by integrating structural layout analysis directly into the planning process. In order to achieve this, we introduce a planning tool which interactively enforces checks for structural stability of the current design, and which on demand proposes how to stabilize it if necessary. Technically, our solution contains an interactive architectural modeling framework as well as a constrained optimization module where both are based on respective architectural rules. Using our tool, an architect can predict already in a very early planning stage which designs are structurally sound such that later changes due to stability reasons can be prevented. We compare manually computed solutions with optimal results of our proposed automated design process in order to show how much our proposed system can help architects to improve the process of laying out structural models optimally.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1500, "image_height": 1000, "preview_image_width": 1500, "preview_image_height": 1000, "name": "steiner_2016_isad-image.png", "type": "image/png", "size": 392167, "path": "Publication:steiner_2016_isad", "preview_name": "steiner_2016_isad-image:preview.png", "preview_type": "image/png", "preview_size": 392167, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1120, 1375, 1376, 193, 844 ], "doi": "10.1111/cgf.12996", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1120 ], "number": "8", "pages_from": "80", "pages_to": "94", "volume": "36", "research_areas": [ "Geometry", "Modeling" ], "keywords": [], "weblinks": [ { "href": "http://dx.doi.org/10.1111/cgf.12996", "caption": "doi", "description": null, "main_file": 0 } ], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1500, "image_height": 1000, "preview_image_width": 1500, "preview_image_height": 1000, "name": "steiner_2016_isad-image.png", "type": "image/png", "size": 392167, "path": "Publication:steiner_2016_isad", "preview_name": "steiner_2016_isad-image:preview.png", "preview_type": "image/png", "preview_size": 392167, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-image:thumb{{size}}.png" }, { "description": null, "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "steiner_2016_isad-preprint.pdf", "type": "application/pdf", "size": 5914360, "path": "Publication:steiner_2016_isad", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "PAMINA", "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/", "__class": "Publication" }, { "id": "Pezenka-2016-MT", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "BrainXPlore - Decision finding in Brain Biopsy Planning", "date": "2017-12", "abstract": "Neurosurgeons make decisions based on expert knowledge that takes factors such as\nsafety margins, the avoidance of risk structures, trajectory length and trajectory angle into consideration. While some of those factors are mandatory, others can be optimized in order to obtain the best possible trajectory under the given circumstances. Through comparison with the actually chosen trajectories from real biopsies and qualitative interviews with domain experts, we identified important rules for trajectory planning. In this thesis, we present BrainXplore, an interactive visual analysis tool for aiding\nneurosurgeons in planning brain biopsies. BrainXplore is an extendable Biopsy\nPlanning framework that incorporates those rules while at the same time leaving full\nflexibility for their customization and adding of new structures at risk. Automatically computed candidate trajectories can be incrementally refined in an interactive manner until an optimal trajectory is found. We employ a spatial index server as part of our system that allows us to access distance information on an unlimited number of risk structures at arbitrary resolution. Furthermore, we implemented InfoVis techniques such as Parallel Coordinates and risk signature charts to drive the decision process. As a case study, BrainXPlore offers a variety of information visualization modalities to present multivariate data in different ways. We evaluated BrainXPlore on a real dataset and accomplished acceptable results. The participating neurosurgeon gave us the feedback that BrainXPlore can decrease the time needed for biopsy planning and aid novice users in their decision making process.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 197, "name": "Pezenka-2016-MT-image.JPG", "type": "image/jpeg", "size": 17214, "path": "Publication:Pezenka-2016-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/Pezenka-2016-MT-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/Pezenka-2016-MT-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1031 ], "date_end": "2017-11-28", "date_start": "2016", "matrikelnr": "0625948 ", "supervisor": [ 231, 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 197, "name": "Pezenka-2016-MT-image.JPG", "type": "image/jpeg", "size": 17214, "path": "Publication:Pezenka-2016-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/Pezenka-2016-MT-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/Pezenka-2016-MT-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Pezenka-2016-MT-Master Thesis.pdf", "type": "application/pdf", "size": 20385403, "path": "Publication:Pezenka-2016-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/Pezenka-2016-MT-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/Pezenka-2016-MT-Master Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/", "__class": "Publication" }, { "id": "sbert-2017-sa_course_0023", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Information Theory In Visualization", "date": "2017-11-30", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 207, 1527, 171, 1083, 1512, 608 ], "date_from": "2017", "date_to": "2017", "event": "SIGGRAPH Asia 2017 Course 0023", "location": "Bangkok, Thailand", "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://sa2017.siggraph.org/attendees/courses?view=session&sid=9", "caption": "SIGGRAPH Asia 2017 Course Information", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "course notes", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sbert-2017-sa_course_0023-course notes.pdf", "type": "application/pdf", "size": 10503939, "path": "Publication:sbert-2017-sa_course_0023", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sbert-2017-sa_course_0023/sbert-2017-sa_course_0023-course notes.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sbert-2017-sa_course_0023/sbert-2017-sa_course_0023-course notes:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sbert-2017-sa_course_0023/", "__class": "Publication" }, { "id": "unger_2017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Evaluation of Machine Learning Frameworks on Tuberculosis Classification of Chest Radiographs", "date": "2017-11-28", "abstract": "In this thesis different state-of-the-art machine learning frameworks were implemented and evaluated on chest radiographs to classify them into tuberculotic or healthy radiographs.\nTraditional explicit feature engineering was performed, as well as different deep learning approaches were applied. For the deep learning experiments different publicly available architectures were compared in two different tasks. The first task with deep learning was to use a Convolutional Neural Network, already trained on a different task, to extract\nfeatures of the chest radiographs. These features were then classified separately. The second experiment was to use a Convolutional Neural Network, again pretrained on a different task, and train this network carefully again on the chest radiographs. The results of the different frameworks were summarized, evaluated and presented in tables.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 192, "image_height": 93, "name": "unger_2017-image.JPG", "type": "image/jpeg", "size": 11457, "path": "Publication:unger_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/unger_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/unger_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1530 ], "date_end": "2017-11-28", "date_start": "2017-06-10", "matrikelnr": "01325652", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "unger_2017-Bachelor Thesis.PDF", "type": "application/pdf", "size": 3705785, "path": "Publication:unger_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/unger_2017-Bachelor Thesis.PDF", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/unger_2017-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 192, "image_height": 93, "name": "unger_2017-image.JPG", "type": "image/jpeg", "size": 11457, "path": "Publication:unger_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/unger_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/unger_2017-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/", "__class": "Publication" }, { "id": "Waldner_2017_11", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Guiding Attention in Complex Visualizations using Flicker", "date": "2017-11-17", "abstract": "Drawing the user’s gaze to an important item in an image or a graphical user interface is a common challenge. Usually, some form of highlighting is used, such as a clearly distinct color or a border around the item. Flicker is also a strong visual attractor in the entire visual field, without distorting, suppressing, or adding any scene elements. While it is very salient, it is often perceived as annoying. In this talk, I will present our research on how flicker can be used as attention guidance technique in cluttered visualizations while lowering its negative side-effects. In particular, I will first present results of studies examining a two-stage flicker technique for dynamic visualizations on large displays. Then, I will present we our explorations of high frequency flicker (60 to 72 Hz) to guide the user’s attention in images. At such high frequencies, the critical flicker frequency (CFF) threshold is reached, which makes the flicker appear to fuse into a stable signal. However, the CFF is not uniform across the visual field, but is higher in the peripheral vision at normal lighting conditions. We show that high frequency flicker, using personalized attributes like patch size and luminance, can be easily detected by observers in the peripheral vision, but the signal is hardly visible in the foveal vision when users directly look at the flickering patch. We demonstrate that this property can be used to draw the user’s attention to important image regions using a standard high refresh-rate computer monitor with minimal visible modifications to the image.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1110 ], "event": "S&T Cooperation Austria-Czech Republic", "location": "Czech Technical University", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Waldner_2017_11/", "__class": "Publication" }, { "id": "ROEGNER-2014-TUI", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Temporal Upsampling for Image Sequences Using a Non-Local Means Algorithm", "date": "2017-11-17", "abstract": "Computer-generated video sequences with a frame-rate higher than the usual 24 images per second, such as 48 or 60 frames per second, have become more popular in the respective industries, due to more visual fidelity. This, however, results in more computational costs for the same length of the video sequence.\n\nOne solution to this problem is the so-called frame-rate upsampling, which makes use of temporal and spatial coherence to approximate new frames and therefore saves computational time. Several methods have been published in this field, for the purposes of real-time rendering as well as for offline rendering algorithms. \n\nIn this thesis, two new algorithms for fame-rate upsampling are introduced. Those are targeted at high-quality computer-generated images that feature various globalillumination effects. The two new algorithms make use of a video denoising method - the non-local means algorithm - to find the appropriate pixel colors for the frame, that has to be upsampled. To find the corresponding pixels in another frame, the methods of this thesis either use existing color information or require additional data, which can be extracted from any global-illumination algorithm with minimal further computations. The proposed methods are aimed at handling reflections and refractions in the scene\nbetter than previous work.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 345, "image_height": 195, "name": "ROEGNER-2014-TUI-image.jpg", "type": "image/jpeg", "size": 7374, "path": "Publication:ROEGNER-2014-TUI", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 875 ], "date_end": "2017-11-17", "date_start": "2014-06-03", "diploma_examina": "2017-11-17", "matrikelnr": "0825045", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "global illumination", "frame-rate upsampling", "temporal coherence" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 345, "image_height": 195, "name": "ROEGNER-2014-TUI-image.jpg", "type": "image/jpeg", "size": 7374, "path": "Publication:ROEGNER-2014-TUI", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ROEGNER-2014-TUI-poster.pdf", "type": "application/pdf", "size": 4622449, "path": "Publication:ROEGNER-2014-TUI", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "ROEGNER-2014-TUI-thesis.pdf", "type": "application/pdf", "size": 2537027, "path": "Publication:ROEGNER-2014-TUI", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/", "__class": "Publication" }, { "id": "Kouril_2017_11", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Challenges and advances in multi-scale biology data visualization", "date": "2017-11-16", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1163, "image_height": 651, "name": "Kouril_2017_11-.PNG", "type": "image/png", "size": 525843, "path": "Publication:Kouril_2017_11", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kouril_2017_11/Kouril_2017_11-.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kouril_2017_11/Kouril_2017_11-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383 ], "event": "S&T Cooperation Austria-Czech Republic", "location": "Czech Technical University", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1163, "image_height": 651, "name": "Kouril_2017_11-.PNG", "type": "image/png", "size": 525843, "path": "Publication:Kouril_2017_11", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kouril_2017_11/Kouril_2017_11-.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kouril_2017_11/Kouril_2017_11-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kouril_2017_11/", "__class": "Publication" }, { "id": "CELAREK-2017-QCL", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Quantifying the Convergence of Light-Transport Algorithms", "date": "2017-11-14", "abstract": "This work aims at improving methods for measuring the error of unbiased, physically\nbased light-transport algorithms. State-of-the-art papers show algorithmic improvements\nvia error measures like Mean Square Error (MSE) or visual comparison of equal-time\nrenderings. These methods are unreliable since outliers can cause MSE variance and\nvisual comparison is inherently subjective.\nWe introduce a simple proxy algorithm: pure algorithms produce one image corresponding\nto the computation budget N. The proxy, on the other hand, averages N independent\nimages with a computation budget of 1. The proxy algorithm fulfils the preconditions\nfor the Central Limit Theorem (CLT), and hence, we know that its convergence rate is\n(1/N). Since this same convergence rate applies for all methods executed using the\nproxy algorithm, comparisons using variance- or standard-deviation-per-pixel images are\npossible. These per-pixel error images can be routinely computed and allow comparing\nthe render quality of different lighting effects. Additionally, the average of pixel variances\nis more robust against outliers compared to the traditional MSE or comparable metrics\ncomputed for the pure algorithm.\nWe further propose the Error Spectrum Ensemble (ESE) as a new tool for evaluating lighttransport\nalgorithms. It summarizes expected error and outliers over spatial frequencies.\nESE is generated using the data from the proxy algorithm: N error images are computed\nusing a reference, transformed into Fourier power spectra and compressed using radial\naverages. The descriptor is a summary of those radial averages.\nIn the results, we show that standard-deviation images, short equal-time renderings, ESE\nand expected MSE are valuable tools for assessing light-transport algorithms.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 594, "image_height": 372, "name": "CELAREK-2017-QCL-image.png", "type": "image/png", "size": 39262, "path": "Publication:CELAREK-2017-QCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1013 ], "date_end": "2017-11-14", "date_start": "2016-01-15", "diploma_examina": "2017-11-14", "matrikelnr": "0926881", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "error metric", "global illumination" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 594, "image_height": 372, "name": "CELAREK-2017-QCL-image.png", "type": "image/png", "size": 39262, "path": "Publication:CELAREK-2017-QCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "CELAREK-2017-QCL-poster.pdf", "type": "application/pdf", "size": 392985, "path": "Publication:CELAREK-2017-QCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "CELAREK-2017-QCL-thesis.pdf", "type": "application/pdf", "size": 16734560, "path": "Publication:CELAREK-2017-QCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "OpenData" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/", "__class": "Publication" }, { "id": "Rainer_2017", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Shape Detection in Out-of-Core Point Clouds for Assisted User Interactions", "date": "2017-11", "abstract": "This thesis presents a semi-automated method for shape detection in out-of-core point clouds. Rather than performing shape detection on the entire point cloud at once, a user-controlled interaction determines the region that is to be segmented next. By keeping the size of the region and the number of points small, the algorithm produces meaningful results within a fraction of a second. Thus, the user is presented immediately with\nfeedback on the local geometry.\nAs modern point clouds can contain billions of points and the memory capacity of\nconsumer PCs is usually insufficient to hold all points in memory at the same time, a level-of-detail data structure is used to store the point cloud on the hard disc, and data is loaded into memory only on use. This data structure partitions the point cloud into small regions, each containing around 5000 points, that are used for rendering and shape detection. Interacting with point clouds is a particularly demanding task. A precise selection of a\nregion of interest, using the two-dimensional lasso interaction, often needs multiple view changes and subsequent improvements. This thesis proposes improvements to the lasso interaction, by performing selection only on the set of points that are approximated by a\ndetected shape. Thus, the selection of undesired points in the fore- and background is reduced. Point picking is improved as well by the use of a detected shape, such that only points that are approximated by this shape are pick-able.\nThe result of this thesis is an application that allows the user to view point clouds with millions of points. It also provides a novel interaction technique for quick local shape detection as well as shape-assisted interactions that utilize this local semantic information to improve the user’s workflow.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 481, "image_height": 300, "name": "Rainer_2017-image.JPG", "type": "image/jpeg", "size": 51988, "path": "Publication:Rainer_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1539 ], "date_end": "2017-10-17", "date_start": "2016-10-10", "diploma_examina": "2018-01-09", "matrikelnr": "0828592", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 481, "image_height": 300, "name": "Rainer_2017-image.JPG", "type": "image/jpeg", "size": 51988, "path": "Publication:Rainer_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Rainer_2017-Master thesis.pdf", "type": "application/pdf", "size": 9242735, "path": "Publication:Rainer_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Rainer_2017-poster.pdf", "type": "application/pdf", "size": 4630728, "path": "Publication:Rainer_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/", "__class": "Publication" }, { "id": "waldin-2017-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Using and Adapting to Limits of Human Perception in Visualization", "date": "2017-11", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1461 ], "duration": "3 years", "reviewer_1": [ 1526 ], "reviewer_2": [ 1313 ], "rigorosum": "2017-11-06", "supervisor": [ 171 ], "research_areas": [ "Perception" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "waldin-2017-thesis-thesis.pdf", "type": "application/pdf", "size": 3029725, "path": "Publication:waldin-2017-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldin-2017-thesis/waldin-2017-thesis-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldin-2017-thesis/waldin-2017-thesis-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldin-2017-thesis/", "__class": "Publication" }, { "id": "Groeller-2017-ARTORW", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "A Random Talk on Random Walks", "date": "2017-10-20", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "event": "10 Years Bergen VisGroup Celebration", "location": "University of Bergen, Norway", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Groeller-2017-ARTORW/", "__class": "Publication" }, { "id": "KREUZER-2017-PBF", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Using Perception-Based Filtering to Hide Shadow Artifacts", "date": "2017-10-05", "abstract": "Shadows are an indispensable aid for understanding spatial relations of objects in\nnatural scenes, which is why they are very important for real-time rendering applications.\nCombining filtering techniques with shadow mapping is a common tool to simulate\nvisually-pleasing shadows in interactive applications. A positive effect of such approaches\nis that the filtering blurs aliasing artifacts caused by sampling the discretized geometric\ndata stored in the shadow map, thereby improving the visual quality of the shadow.\nThe goal of this thesis is to exploit common filtering algorithms, in order to find a\nfunction of blur radius and shadow-map sampling frequency, which allows for optimized\ncomputational performance while mostly preserving the visual quality of the shadow.\nIn the course of this work, we investigate how shadow artifacts arise and how to hide\nthem. We set up and execute a user study to find the optimal relation between the\nshadow-map sampling frequency and the filter radius. From the results of the user study,\nwe derive a formula and develop an algorithm that can be incorporated into existing\nshadow-mapping algorithms. We evaluate our results by applying the algorithm to a\ncustom-made rendering framework and observe an increase in processing speeds.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 542, "image_height": 454, "name": "KREUZER-2017-PBF-image.png", "type": "image/png", "size": 112349, "path": "Publication:KREUZER-2017-PBF", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1046 ], "date_end": "2017-10-05", "date_start": "2016-06-01", "diploma_examina": "2017-10-05", "matrikelnr": "0827433", "supervisor": [ 193, 779 ], "research_areas": [ "Perception", "Rendering" ], "keywords": [ "soft shadows" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 542, "image_height": 454, "name": "KREUZER-2017-PBF-image.png", "type": "image/png", "size": 112349, "path": "Publication:KREUZER-2017-PBF", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "KREUZER-2017-PBF-poster.pdf", "type": "application/pdf", "size": 2166045, "path": "Publication:KREUZER-2017-PBF", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "KREUZER-2017-PBF-thesis.pdf", "type": "application/pdf", "size": 9488073, "path": "Publication:KREUZER-2017-PBF", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/", "__class": "Publication" }, { "id": "OPPITZ-2017-3DM", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "3D Mass Customization: Real-Time High-Quality Lighting Effects for WebGL", "date": "2017-10-01", "abstract": "During the internship at ShapeDiver GmbH the visual quality of an existing WebGL\nplatform had to be improved. This platform is used as an online 3D configurator, in which customers\ncan modify the properties of parametric models. This includes the modification of properties like\nshape, size and materials. The difficulty for this project was to contemplate the fact that the product\ncan be customized by the user in real-time.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 825, "image_height": 605, "name": "OPPITZ-2017-3DM-image.jpg", "type": "image/jpeg", "size": 25757, "path": "Publication:OPPITZ-2017-3DM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/OPPITZ-2017-3DM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/OPPITZ-2017-3DM-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1501 ], "date_end": "2017-10-01", "date_start": "2017-06-20", "matrikelnr": "1227129", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 825, "image_height": 605, "name": "OPPITZ-2017-3DM-image.jpg", "type": "image/jpeg", "size": 25757, "path": "Publication:OPPITZ-2017-3DM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/OPPITZ-2017-3DM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/OPPITZ-2017-3DM-image:thumb{{size}}.png" }, { "description": null, "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "OPPITZ-2017-3DM-report.pdf", "type": "application/pdf", "size": 5299833, "path": "Publication:OPPITZ-2017-3DM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/OPPITZ-2017-3DM-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/OPPITZ-2017-3DM-report:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/", "__class": "Publication" }, { "id": "mindek-2017-dsn", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Data-Sensitive Visual Navigation", "date": "2017-10", "abstract": "In visualization systems it is often the case that the changes of the input parameters are not proportional to the visual change of the generated output. In this paper, we propose a model for enabling data-sensitive navigation for user-interface elements. This model is applied to normalize the user input according to the visual change, and also to visually communicate this normalization. In this way, the exploration of heterogeneous data using common interaction elements can be performed in an efficient way. We apply our model to the field of medical visualization and present guided navigation tools for traversing vascular structures and for camera rotation around 3D volumes. The presented examples demonstrate that the model scales to user-interface elements where multiple parameters are set simultaneously.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1020, "image_height": 1020, "name": "mindek-2017-dsn-.png", "type": "image/png", "size": 700890, "path": "Publication:mindek-2017-dsn", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/mindek-2017-dsn-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/mindek-2017-dsn-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935, 869, 166, 161 ], "date_from": "2017-05-15", "date_to": "2017-05-17", "event": "SCCG 2017", "journal": "Computers & Graphics", "lecturer": [ 166 ], "location": "Mikulov, Czech Republic", "number": "C", "pages_from": "77", "pages_to": "85", "volume": "67", "research_areas": [ "MedVis", "Perception" ], "keywords": [ "navigation", "exploration", "medical visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1020, "image_height": 1020, "name": "mindek-2017-dsn-.png", "type": "image/png", "size": 700890, "path": "Publication:mindek-2017-dsn", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/mindek-2017-dsn-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/mindek-2017-dsn-:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2017-dsn-Paper.pdf", "type": "application/pdf", "size": 952068, "path": "Publication:mindek-2017-dsn", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/mindek-2017-dsn-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/mindek-2017-dsn-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/", "__class": "Publication" }, { "id": "preiner_2017_phd", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Dynamic and Probabilistic Point-Cloud Processing", "date": "2017-10", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1030, "image_height": 556, "name": "preiner_2017_phd-teaser.png", "type": "image/png", "size": 554220, "path": "Publication:preiner_2017_phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/preiner_2017_phd-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/preiner_2017_phd-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 799 ], "date_end": "2017", "date_start": "2010", "matrikelnr": "0430380", "reviewer_1": [ 1510 ], "reviewer_2": [ 1511 ], "rigorosum": "2017-10-13", "supervisor": [ 193 ], "research_areas": [ "Geometry", "Modeling", "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1030, "image_height": 556, "name": "preiner_2017_phd-teaser.png", "type": "image/png", "size": 554220, "path": "Publication:preiner_2017_phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/preiner_2017_phd-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/preiner_2017_phd-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "preiner_2017_phd-thesis.pdf", "type": "application/pdf", "size": 223842034, "path": "Publication:preiner_2017_phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/preiner_2017_phd-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/preiner_2017_phd-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/", "__class": "Publication" }, { "id": "weinzierl_heigl-2017-wh14", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Adaptively Clustered Reflective Shadow Maps", "date": "2017-10", "abstract": "The content of this thesis is to extend an existing real-time global illumination technique that uses Virtual Area Lights (VALs) for indirect illumination in combination with point-based shadow maps, so called Imperfect Shadow Maps (ISMs) to generate corresponding soft indirect shadows. A clustering algorithm inspired by k-Means creates VAL-clusters in light space, which are updated on a frame-by-frame basis. In this talk we will present concepts and techniques to eliminate some of the constraints and limitations of the existing solution as well as incorporating new ideas to make the algorithm more robust for larger, more complex and dynamic scenes. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 846, "image_height": 708, "name": "weinzierl_heigl-2017-wh14-image.png", "type": "image/png", "size": 221180, "path": "Publication:weinzierl_heigl-2017-wh14", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1004 ], "date_end": "2017-10-05", "date_start": "2013-10-01", "diploma_examina": "2017-10-05", "matrikelnr": "0625044", "supervisor": [ 799, 193 ], "research_areas": [ "Rendering" ], "keywords": [ "VAL", "ISM", "Virtual Area Lights", "Global Illumination", "Imperfect Shadow Maps" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 846, "image_height": 708, "name": "weinzierl_heigl-2017-wh14-image.png", "type": "image/png", "size": 221180, "path": "Publication:weinzierl_heigl-2017-wh14", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "weinzierl_heigl-2017-wh14-poster.pdf", "type": "application/pdf", "size": 4294712, "path": "Publication:weinzierl_heigl-2017-wh14", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "weinzierl_heigl-2017-wh14-thesis.pdf", "type": "application/pdf", "size": 5044435, "path": "Publication:weinzierl_heigl-2017-wh14", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/", "__class": "Publication" }, { "id": "Diehl-2017-Albero", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Albero: A Visual Analytics Approach for Probabilistic Weather Forecasting", "date": "2017-10", "abstract": "Probabilistic weather forecasts are amongst the most popular ways to quantify numerical forecast uncertainties. The analog\nregression method can quantify uncertainties and express them as probabilities. The method comprises the analysis of errors\nfrom a large database of past forecasts generated with a specific numerical model and observational data. Current visualization\ntools based on this method are essentially automated and provide limited analysis capabilities. In this paper, we propose a novel\napproach that breaks down the automatic process using the experience and knowledge of the users and creates a new interactive\nvisual workflow. Our approach allows forecasters to study probabilistic forecasts, their inner analogs and observations, their\nassociated spatial errors, and additional statistical information by means of coordinated and linked views. We designed the\npresented solution following a participatory methodology together with domain experts. Several meteorologists with different\nbackgrounds validated the approach. Two case studies illustrate the capabilities of our solution. It successfully facilitates the\nanalysis of uncertainty and systematic model biases for improved decision-making and process-quality measurements.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1121, 1396, 1122, 235, 166, 161 ], "date_from": "2017", "date_to": "2017", "doi": "10.1111/cgf.13279", "event": "Pacific Graphics 2017", "journal": "Computer Graphics Forum 36(7) 135-144 (2017)", "lecturer": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Diehl-2017-Albero-paper.pdf", "type": "application/pdf", "size": 29579036, "path": "Publication:Diehl-2017-Albero", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Diehl-2017-Albero/Diehl-2017-Albero-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Diehl-2017-Albero/Diehl-2017-Albero-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Diehl-2017-Albero/", "__class": "Publication" }, { "id": "leimer_2017_rbpesc", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Relation-Based Parametrization and Exploration of Shape Collections", "date": "2017-10", "abstract": "With online repositories for 3D models like 3D Warehouse becoming more prevalent and growing ever larger, new possibilities have emerged for both experienced and inexperienced users. These large collections of shapes can provide inspiration for designers or make it possible to synthesize new shapes by combining different parts from already existing shapes, which can be both easy to learn and a fast way of creating new shapes. But exploring large shape collections or searching for particular kinds of shapes can be difficult and time-consuming tasks as well, especially considering that online repositories are often disorganized. In our work, we propose a relation-based way to parametrize shape collections, allowing the user to explore the entire set of shapes based on the variability of spatial arrangements between pairs of parts. The way in which shapes differ from each other is captured automatically, resulting in a small number of exploration parameters. Furthermore, a copy-and-paste system for parts allows the user to change the structure of a shape, making it possible to explore the entire collection from any initial shape.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2000, "image_height": 1267, "name": "leimer_2017_rbpesc-image.png", "type": "image/png", "size": 969130, "path": "Publication:leimer_2017_rbpesc", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1019, 1292, 193, 844 ], "issn": "0097-8493", "journal": "Computers & Graphics", "pages_from": "127", "pages_to": "137", "volume": "67", "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "3d database exploration", "Model variability", "Shape analysis", "Shape collections" ], "weblinks": [ { "href": "https://doi.org/10.1016/j.cag.2017.07.001", "caption": "DOI", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2000, "image_height": 1267, "name": "leimer_2017_rbpesc-image.png", "type": "image/png", "size": 969130, "path": "Publication:leimer_2017_rbpesc", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-image:thumb{{size}}.png" }, { "description": null, "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer_2017_rbpesc-preprint.pdf", "type": "application/pdf", "size": 14650651, "path": "Publication:leimer_2017_rbpesc", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-preprint:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer_2017_rbpesc-video.mp4", "type": "video/mp4", "size": 32483590, "path": "Publication:leimer_2017_rbpesc", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-video:video.mp4" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/", "__class": "Publication" }, { "id": "HU-2017-ETM", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Efficient Tree Modeling from Airborne LiDAR Point Clouds", "date": "2017-10", "abstract": "Modeling real-world trees is important in many application areas, including computer graphics, botany and forestry. An example of a modeling method is reconstruction from light detection and ranging (LiDAR) scans. In contrast to terrestrial LiDAR systems, airborne LiDAR systems – even current high-resolution systems – capture only very few samples on tree branches, which makes the reconstruction of trees from airborne LiDAR a challenging task. In this paper, we present a new method to model plausible trees with fine details from airborne LiDAR point clouds. To reconstruct tree models, first, we use a normalized cut method to segment an individual tree point cloud. Then, trunk points are added to supplement the incomplete point cloud, and a connected graph is constructed by searching sufficient nearest neighbors for each point. Based on the observation of real-world trees, a direction field is created to restrict branch directions. Then, branch skeletons are constructed using a bottom-up greedy algorithm with a priority queue, and leaves are arranged according to phyllotaxis. We demonstrate our method on a variety of examples and show that it can generate a plausible tree model in less than one second, in addition to preserving features of the original point cloud.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 864, "image_height": 502, "name": "HU-2017-ETM-teaser.png", "type": "image/png", "size": 759188, "path": "Publication:HU-2017-ETM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/HU-2017-ETM-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/HU-2017-ETM-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1467, 1468, 1469, 1470, 193 ], "issn": "0097-8493", "journal": "Computers & Graphics", "pages_from": "1", "pages_to": "13", "volume": "67", "research_areas": [ "Modeling" ], "keywords": [ "tree modeling", "LIDAR", "point clouds" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "HU-2017-ETM-draft.pdf", "type": "application/pdf", "size": 17872780, "path": "Publication:HU-2017-ETM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/HU-2017-ETM-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/HU-2017-ETM-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 864, "image_height": 502, "name": "HU-2017-ETM-teaser.png", "type": "image/png", "size": 759188, "path": "Publication:HU-2017-ETM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/HU-2017-ETM-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/HU-2017-ETM-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/", "__class": "Publication" }, { "id": "Purgathofer-2017-China2", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "From Visualization to Decision Support", "date": "2017-09-29", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_to": "2017-09-29", "event": "2nd International Forum on VR Visual Computing Technologies", "location": "Hangzhou, China", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Purgathofer-2017-China2/", "__class": "Publication" }, { "id": "pointner_michael-2017-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Multi-Focal Image Generation using Automatic Depth-Based Focus Selection", "date": "2017-09-28", "abstract": "One of the most important objectives in photography is the sharpness of the whole\nimage, which is not so easy to achieve because of the physical properties of a camera lens.\nDue to Google’s new Tango API, which enables the perception of depth information on\nsmartphones, we have evaluated the usability of this new technology for the generation of\nall-sharp images through multi-focus with the Lenovo Phab 2 Pro as the first smartphone\nto support this technology.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Image vs. depth image", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 510, "image_height": 440, "name": "pointner_michael-2017-baa-image.png", "type": "image/png", "size": 331005, "path": "Publication:pointner_michael-2017-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/pointner_michael-2017-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/pointner_michael-2017-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1535 ], "date_end": "2017-08-31", "date_start": "2017-03-01", "matrikelnr": "01427791", "supervisor": [ 948 ], "research_areas": [ "Geometry", "Rendering" ], "keywords": [ "all-in-focus", "focus selection", "image stitching" ], "weblinks": [], "files": [ { "description": "Image vs. depth image", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 510, "image_height": 440, "name": "pointner_michael-2017-baa-image.png", "type": "image/png", "size": 331005, "path": "Publication:pointner_michael-2017-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/pointner_michael-2017-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/pointner_michael-2017-baa-image:thumb{{size}}.png" }, { "description": "Bachelor thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "pointner_michael-2017-baa-thesis.pdf", "type": "application/pdf", "size": 30588625, "path": "Publication:pointner_michael-2017-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/pointner_michael-2017-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/pointner_michael-2017-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/", "__class": "Publication" }, { "id": "Purgathofer-2017-China1", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "From Visualization to Decision Support", "date": "2017-09-28", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2017-09-28", "event": "Virtual Reality and Visual Computing International Forum", "location": "Nanjing, China", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Purgathofer-2017-China1/", "__class": "Publication" }, { "id": "Groeller-2017-AMOS", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "A Matter of Scale", "date": "2017-09-28", "abstract": "Scale and scalability have been recurring topics in our field. Recent developments like smart data, machine learning, and advances in domains like biology, cartography, smart communities, and communication pose novel challenges to scalability and use of scale. Examples include scale-transparent visual computing, cross-scale visualization and interaction, massive multi-scale techniques, scale integration, cross-scale labeling and annotation, cross scales on structure and dynamics, and continuous scales", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2017-09-28", "date_to": "2017-09-28", "event": "Molecular Animation Summit", "lecturer": [ 166 ], "location": "University of Utah, SCI", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Groeller-2017-AMOS/", "__class": "Publication" }, { "id": "sorger-2017-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Integration Strategies in the Visualization of Multifaceted Spatial Data", "date": "2017-09-26", "abstract": "Visualization designers have several visual channels at their disposal for encoding data into visual representations, e.g., position, size, shape, orientation, color, texture, brightness, as well as motion. The mapping of attributes to visual channels can be chosen by the designer. In theory, any data attribute can be represented by any of these visual channels or by a combination of multiple of these channels. In practice, the optimal mapping and the most suitable type of visualization strongly depend on the data as well as on the user's task. In the visualization of spatial data, the mapping of spatial attributes to visual channels is inherently given by the data. Multifaceted spatial data possesses a wide range of additional (non-spatial) attributes without a given mapping. The data's given spatial context is often important for successfully fulfilling a task. The design space in spatial data visualization can therefore be heavily constrained when trying to choose an optimal mapping for other attributes within the spatial context. To solve an exploration or presentation task in the domain of multifaceted spatial data, special strategies have to be employed in order to integrate the essential information from the various data facets in an appropriate representation form with the spatial context.\nThis thesis explores visualization integration strategies for multifaceted spatial data. The first part of this thesis describes the design space of integration in terms of two aspects: visual and functional integration. Visual integration describes how representations of the different data facets can be visually composed within a spatial context. Functional integration, describes how events that have been triggered, for instance, through user interaction, can be coordinated across the various visually integrated representations.\nThe second part of this thesis describes contributions to the field of visualization in the context of concrete integration applications for exploration and presentation scenarios. The first scenario addresses a set of challenges in the exploratory analysis of multifaceted spatial data in the scope of a decision making scenario in lighting design. The user's task is to find an optimal lighting solution among dozens or even hundreds of potential candidates. In the scope of a design study, the challenges in lighting design are addressed with LiteVis, a system that integrates representations of the simulation parameter space with representations of all relevant aspects of the simulation output. The integration of these heterogeneous aspects together with a novel ranking visualization are thereby the key to enabling an efficient exploration and comparison of lighting parametrizations.\nIn presentation scenarios, the generation of insights often cannot rely on user interaction and therefore needs a different approach. The challenge is to generate visually appealing, yet information-rich representations for mainly passive observation. In this context, this thesis addresses two different challenges in the domain of molecular visualization. The first challenge concerns the conveying of relations between two different representations of a molecular data set, such as a virus. The relation is established via animated transitions - a temporal form of integration between two representations. The proposed solution features a novel technique for creating such transitions that are re-usable for different data sets, and can be combined in a modular fashion. \nAnother challenge in presentation scenarios of multifaceted spatial data concerns the presentation of the transition between development states of molecular models, where the actual biochemical process of the transition is not exactly known or it is too complex to represent. A novel technique applies a continuous abstraction of both model representations to a level of detail at which the relationship between them can be accurately conveyed, in order to overcome a potential indication of false relationship information. Integration thereby brings the different abstraction levels and the different model states into relation with each other. The results of this thesis clearly demonstrate that integration is a versatile tool in overcoming key challenges in the visualization of multifaceted spatial data.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "overview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1768, "image_height": 1186, "name": "sorger-2017-thesis-overview.png", "type": "image/png", "size": 836988, "path": "Publication:sorger-2017-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-overview:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1072 ], "co_supervisor": [ 166 ], "date_end": "2017", "date_start": "2013", "reviewer_1": [ 196 ], "reviewer_2": [ 1248 ], "rigorosum": "2017-11-22", "supervisor": [ 171 ], "research_areas": [ "BioVis", "IllVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "overview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1768, "image_height": 1186, "name": "sorger-2017-thesis-overview.png", "type": "image/png", "size": 836988, "path": "Publication:sorger-2017-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-overview:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sorger-2017-thesis-thesis.pdf", "type": "application/pdf", "size": 48970349, "path": "Publication:sorger-2017-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/", "__class": "Publication" }, { "id": "Dietrich_1", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "SirTom - Structural information retaining Triangle-based Occlusion Management", "date": "2017-09-18", "abstract": "As cutaway occlusion management techniques are always bound to a certain degree of\ninformation loss and other occlusion management solutions do not always yield good results, specifically in regards to dense molecular assemblies like the ones displayed in CellVIEW. This makes it desirable to devise a strategy which optimizes cutaway techniques to retain more information. SirTom focuses on retaining as much information about structures inside such assemblies as possible by creating a cutaway strategy that opts to give them a mesh-like appearance. This is done by creating a mesh and then deciding via probability which molecules are more likely to retain this information in a pseudo-random fashion. SirTom grants the possibility to gain insight with less removed particles and is such a helpful algorithm for visualizing occluding surface structures.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 432, "image_height": 397, "name": "Dietrich_1-image.JPG", "type": "image/jpeg", "size": 38147, "path": "Publication:Dietrich_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/Dietrich_1-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/Dietrich_1-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1384 ], "date_end": "2017-09-18", "date_start": "2016-10", "matrikelnr": "1026167", "supervisor": [ 166 ], "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Dietrich_1-Bachelor Thesis.pdf", "type": "application/pdf", "size": 5617700, "path": "Publication:Dietrich_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/Dietrich_1-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/Dietrich_1-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 432, "image_height": 397, "name": "Dietrich_1-image.JPG", "type": "image/jpeg", "size": 38147, "path": "Publication:Dietrich_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/Dietrich_1-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/Dietrich_1-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/", "__class": "Publication" }, { "id": "JORDAKIEVA-2017-VFR", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Visualization of Filter Rules in Autonomous Software-Agents", "date": "2017-09-11", "abstract": "SiMA (Simulation of the Mental Apparatus & Applications) is an interdisciplinary project, in which technicians and psychoanalysts cooperatively develop an implementable model of a decision-making unit based on the human psychological apparatus. Particular attention is attributed to designing the developed system akin to the human model in its functions (and its behavior). This includes the im-plementation of social rules and defense mechanisms. Together they form a bionically inspired filter mechanism for the agent's sensory data. The filter mechanism allows the user to identify and resolve conflicts arising between the agent’s perception and goals or implemented social rules. In this work, the SiMA project is further developed iteratively, following a use-case-driven methodo-logical approach. The basis is psychoanalytic use cases, which depict human behavior. The current use case revolves around the refinement of defense mechanisms. To fulfill this use case it is necessary to enhance the defense mechanisms to the next development stage. This includes the formulation of filter rules, knowledge representation for mapping these filter rules and validating their visualization possibilities and their influence on decision making. Additionally, the infrastructure for implementing the current use case has to be advanced further in order to enable validation with the entire system. This necessitates the development of an inventory system and new actions for the agent. After analyzing different input possibilities and knowledge representations regarding their suitability for the SiMA model, it could be shown that no existing model meets the specific requirements for flexibility and legibility. As a result, a separate input and memory format was developed for the filter rules and integrated into the existing model. The approach was embedded into the existing Java im-plementation of the SiMA model and tested in a multi-agent simulation environment (MASON). The simulation results supported eligibility of the newly developed rule format and highlighted the poten-tial applications for the use of this bionically inspired filter mechanism.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1240, "image_height": 1109, "name": "JORDAKIEVA-2017-VFR-image.jpg", "type": "image/jpeg", "size": 132493, "path": "Publication:JORDAKIEVA-2017-VFR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1565 ], "date_end": "2017-09-11", "date_start": "2017-07-10", "diploma_examina": "2017-09-11", "matrikelnr": "00106532", "supervisor": [ 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1240, "image_height": 1109, "name": "JORDAKIEVA-2017-VFR-image.jpg", "type": "image/jpeg", "size": 132493, "path": "Publication:JORDAKIEVA-2017-VFR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "JORDAKIEVA-2017-VFR-poster.pdf", "type": "application/pdf", "size": 599627, "path": "Publication:JORDAKIEVA-2017-VFR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "JORDAKIEVA-2017-VFR-thesis.pdf", "type": "application/pdf", "size": 4390084, "path": "Publication:JORDAKIEVA-2017-VFR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/", "__class": "Publication" }, { "id": "Viola-Pondering-2017", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Pondering the Concept of Abstraction in (Illustrative) Visualization", "date": "2017-09-04", "abstract": "We explore the concept of abstraction as it is used in visualization, with the ultimate goal of understanding and formally defining it. Researchers so far have used the concept of abstraction largely by intuition without a precise meaning. This lack of specificity\nleft questions on the characteristics of abstraction, its variants, its control, or its ultimate potential for visualization and, in particular, illustrative visualization mostly unanswered. In this paper we thus provide a first formalization of the abstraction concept and discuss how this formalization affects the application of abstraction in a variety of visualization scenarios. Based on this discussion, we derive a number of open questions still waiting to be answered, thus formulating a research agenda for the use of abstraction for the visual representation and exploration of data. This paper, therefore, is intended to provide a contribution to the discussion of the theoretical foundations of our field, rather than attempting to provide a completed and final theory.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 4283, "image_height": 3539, "name": "Viola-Pondering-2017-image.jpg", "type": "image/jpeg", "size": 447826, "path": "Publication:Viola-Pondering-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 960 ], "date_from": "2017", "date_to": "2018", "doi": "10.1109/TVCG.2017.2747545", "event": "Eurovis 2018", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 171, 960 ], "number": "99", "open_access": "yes", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 4283, "image_height": 3539, "name": "Viola-Pondering-2017-image.jpg", "type": "image/jpeg", "size": 447826, "path": "Publication:Viola-Pondering-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Viola-Pondering-2017-paper.pdf", "type": "application/pdf", "size": 61554037, "path": "Publication:Viola-Pondering-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/", "__class": "Publication" }, { "id": "dodik-2017-pcbpt", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Implementing Probabilistic Connections for Bidirectional Path Tracing in the Mitsuba Renderer", "date": "2017-09-03", "abstract": "Light transport simulation algorithms are remarkably adept at recreating a large variety of light phenomena which occur in nature. As such they have seen widespread adoption across the industry, which made it paramount to create efficient and robust algorithms. One recent algorithm which tries to deal with this problem is known as Probabilistic Connections for Bidirectional Path Tracing (PCBPT). It builds upon the classical Bidirectional Path Tracing (BDPT) algorithm. In Bidirectional Path Tracing, a ray is traced from the sensor as well as from the emitter. The two rays are then connected to calculate the light contribution to image pixels. PCBPT extends this idea to support connecting multiple emitter paths to one sensor subpath, and introduces importance sampling as a way of choosing the most suitable emitter paths. Unfortunately, there was no implementation of PCBPT publically available, which is why we implemented it into the open-source Mitsuba renderer. We evaluate the algorithm against standard BDPT on a variety of different scenes. Our comparisons provide insight into what type of scenes PCBPT can help improve and where the additional computational cost presents too much of an overhead.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Equal time comparison of the inner paths of BDPT (top-left) and PCBPT (bottom-right). PCBPT produces significantly less noise than BDPT due to importance sampling connections.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1280, "image_height": 720, "name": "dodik-2017-pcbpt-teaser.png", "type": "image/png", "size": 2185009, "path": "Publication:dodik-2017-pcbpt", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/dodik-2017-pcbpt-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/dodik-2017-pcbpt-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1500 ], "date_end": "2017-09-03", "date_start": "2017-05-23", "matrikelnr": "01328690", "supervisor": [ 1129, 193 ], "research_areas": [ "Rendering" ], "keywords": [ "physically based rendering", "Monte Carlo rendering", "bidirectional path tracing", "probabilistic connections for bidirectional path tracing", "Mitsuba", "importance sampling" ], "weblinks": [ { "href": "https://dodiknikola.github.io/publication/prob-conns/", "caption": "Author's Web Page", "description": null, "main_file": 0 } ], "files": [ { "description": "Equal time comparison of the inner paths of BDPT (top-left) and PCBPT (bottom-right). PCBPT produces significantly less noise than BDPT due to importance sampling connections.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1280, "image_height": 720, "name": "dodik-2017-pcbpt-teaser.png", "type": "image/png", "size": 2185009, "path": "Publication:dodik-2017-pcbpt", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/dodik-2017-pcbpt-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/dodik-2017-pcbpt-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "dodik-2017-pcbpt-thesis.pdf", "type": "application/pdf", "size": 47619478, "path": "Publication:dodik-2017-pcbpt", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/dodik-2017-pcbpt-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/dodik-2017-pcbpt-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/", "__class": "Publication" }, { "id": "erler_philipp-2017-phd", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Smart Surface Reconstruction", "date": "2017-09", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": "Reconstruction, 3D representations", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1440, "image_height": 501, "name": "erler_philipp-2017-phd-image.png", "type": "image/png", "size": 221151, "path": "Publication:erler_philipp-2017-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/erler_philipp-2017-phd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/erler_philipp-2017-phd-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1395 ], "date_end": "2026-02-11", "date_start": "2017-09", "duration": "3 years", "reviewer_1": [ 5558 ], "reviewer_2": [ 1519 ], "rigorosum": "2026-02-11", "supervisor": [ 193 ], "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "Surface Reconstruction", "Deep Learning", "Point Cloud" ], "weblinks": [], "files": [ { "description": "Dissertation PDF", "filetitle": "dissertation", "main_file": true, "use_in_gallery": false, "access": "public", "name": "erler_philipp-2017-phd-dissertation.pdf", "type": "application/pdf", "size": 115758696, "path": "Publication:erler_philipp-2017-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/erler_philipp-2017-phd-dissertation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/erler_philipp-2017-phd-dissertation:thumb{{size}}.png" }, { "description": "Reconstruction, 3D representations", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1440, "image_height": 501, "name": "erler_philipp-2017-phd-image.png", "type": "image/png", "size": 221151, "path": "Publication:erler_philipp-2017-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/erler_philipp-2017-phd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/erler_philipp-2017-phd-image:thumb{{size}}.png" } ], "projects_workgroups": [ "ShapeAcquisition", "d4388", "Superhumans" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/", "__class": "Publication" }, { "id": "FRAISS-2017-PCU", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Rendering Large Point Clouds in Unity", "date": "2017-09", "abstract": "In this thesis, a point-cloud renderer was developed in the game engine Unity. The focus lies especially on very big point clouds with several millions or billions of points, which cannot be loaded completely into memory. Special data structures and algorithms are needed to load and render continuously only the parts of the point-cloud that are relevant for the current camera position. The result is an efficient rendering system with variable settings and various rendering methods. The project is available on GitHub.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "frustum culling", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 927, "image_height": 522, "name": "FRAISS-2017-PCU-frustum culling.png", "type": "image/png", "size": 383642, "path": "Publication:FRAISS-2017-PCU", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-frustum culling.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-frustum culling:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1495 ], "date_end": "2017-09", "date_start": "2017-04", "matrikelnr": "01425602", "supervisor": [ 193, 1116 ], "research_areas": [ "Rendering" ], "keywords": [ "point clouds", "unity" ], "weblinks": [ { "href": "https://github.com/SFraissTU/BA_PointCloud", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 661, "image_height": 755, "name": "FRAISS-2017-PCU-.png", "type": "image/png", "size": 774729, "path": "Publication:FRAISS-2017-PCU", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-:thumb{{size}}.png" }, { "description": null, "filetitle": "frustum culling", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 927, "image_height": 522, "name": "FRAISS-2017-PCU-frustum culling.png", "type": "image/png", "size": 383642, "path": "Publication:FRAISS-2017-PCU", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-frustum culling.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-frustum culling:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "FRAISS-2017-PCU-thesis.pdf", "type": "application/pdf", "size": 13428774, "path": "Publication:FRAISS-2017-PCU", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/", "__class": "Publication" }, { "id": "ZOTTI-2017-BM", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Beyond 3D Models: Simulation of Temporally Evolving Models in Stellarium", "date": "2017-09", "abstract": "In recent years, the interactive visual exploration and demonstration of three-dimensional virtual models of buildings or natural structures of archaeoastronomical interest under a simulated sky has become available for users of the open-source desktop planetarium program Stellarium [Zotti, 2015, 2016]. Users can load an architectural model in the well-known OBJ format and walk around to explore sight lines or light-and-shadow interaction in present and past times [Frischer et al., 2016].\n\nHowever, until now, the model itself did not change in time, and loading models for various building phases (e.g., the assumed order of building the various standing stones, timber circles and stone circles of Stonehenge) always required a break in simulation and user interaction to load a model for the next phase. On the other hand, displaying a model under the sky of the wrong time may lead to inappropriate conclusions. Large-area models required considerable time to load, and loading caused a reset of location, so the user interested in changes in a certain viewing axis had to recreate that view again. Given that Stellarium is an “astronomical time machine”, nowadays capable of replaying sky vistas thousands of years ago with increasing accuracy [Zotti et al., submitted] and also for models with several million triangular faces, it seemed worth to explore possibilities to also show changes over time in the simulated buildings.\nThe Scenery3D plugin of Stellarium is, however, not a complete game engine, and replicating the infrastructure found in such game engines like Unity3D – for example to interactively move game objects, or load small sub-components like standing stones and place them at arbitrary coordinates – seemed overkill. The solution introduced here is remarkably simple and should be easily adoptable for the casual model-making researcher: the MTL material description for the model, a simple plain-text file that describes colour, reflection behaviour, photo-texture or transparency of the various parts of the object, can be extended for our rendering system. Newly introduced values describe dates where parts of the model can appear and disappear (with transitional transparency to allow for archaeological dating uncertainties). The model parts with these enhanced, time-aware materials appear to fade in during the indicated time, will be fully visible in their “active” time, and will fade out again when Stellarium is set to simulate the sky when the real-world structures most likely have vanished. The only requirement for the model creator is now to separate objects so that they receive unique materials that can then be identified and augmented with these entries in the MTL text file.\n\nThe advantages of this new feature should be clear: an observer can remain in a certain location in the virtual model and let the land- and skyscape change over decades or centuries, without the need to load new models. This allows the simulation of construction and reconstruction phases while still always keeping particularly interesting viewpoints unchanged, and will always show the matching sky for the most appropriate reconstruction phase of the model. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1331, "image_height": 467, "name": "ZOTTI-2017-BM-image.jpg", "type": "image/jpeg", "size": 45894, "path": "Publication:ZOTTI-2017-BM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/ZOTTI-2017-BM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/ZOTTI-2017-BM-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 222, 1093, 193 ], "booktitle": "25th SEAC Conference", "date_from": "2017-09-18", "date_to": "2017-09-22", "doi": "10.5281/zenodo.1477972", "event": "INSAP X – Oxford XI – SEAC 25th Joint Conference ‘ROAD TO THE STARS’", "issn": "1108-9628", "journal": "Mediterranean Archaeology and Archaeometry", "lecturer": [ 222 ], "location": "Santiago de Compostela, Spain", "number": "4", "open_access": "yes", "pages_from": "501", "pages_to": "506", "volume": "18", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1331, "image_height": 467, "name": "ZOTTI-2017-BM-image.jpg", "type": "image/jpeg", "size": 45894, "path": "Publication:ZOTTI-2017-BM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/ZOTTI-2017-BM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/ZOTTI-2017-BM-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ZOTTI-2017-BM-paper.pdf", "type": "application/pdf", "size": 518480, "path": "Publication:ZOTTI-2017-BM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/ZOTTI-2017-BM-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/ZOTTI-2017-BM-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/", "__class": "Publication" }, { "id": "SIETZEN-2017-BBO", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "A Method for Automatically Animating the Reassembly of Arbitrary Voronoi-Fractured Objects", "date": "2017-09", "abstract": "In this paper I present a method to procedurally generate\nthe necessary data to animate 2 robots assembling an arbitrary\nVoronoi-fractured object without intersections. The\nmain problem of finding a possible assembly sequence is\ntackled using various methods of geometrical calculation\nand linear programming. The goal of this work is to automatically\ngenerate visually interesting animation which\ncan then be used for various scenarios, for example decorative\nvisuals or game scenery.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1168, "image_height": 498, "name": "SIETZEN-2017-BBO-image.png", "type": "image/png", "size": 674500, "path": "Publication:SIETZEN-2017-BBO", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/SIETZEN-2017-BBO-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/SIETZEN-2017-BBO-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1373 ], "date_end": "2017-09-22", "date_start": "2016-08-09", "matrikelnr": "0372194", "supervisor": [ 193 ], "research_areas": [ "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": "Paper published at CESCG 2017 for this thesis.", "filetitle": "cescg2017-paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "SIETZEN-2017-BBO-cescg2017-paper.pdf", "type": "application/pdf", "size": 6832728, "path": "Publication:SIETZEN-2017-BBO", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/SIETZEN-2017-BBO-cescg2017-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/SIETZEN-2017-BBO-cescg2017-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1168, "image_height": 498, "name": "SIETZEN-2017-BBO-image.png", "type": "image/png", "size": 674500, "path": "Publication:SIETZEN-2017-BBO", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/SIETZEN-2017-BBO-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/SIETZEN-2017-BBO-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/", "__class": "Publication" }, { "id": "Knapp_2017_CVR", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Explorable Semiconductors: Interacting with Crystal Structures in Virtual Reality", "date": "2017-09", "abstract": "Due to Virtual Reality’s recent rise in popularity, other application areas apart from the entertainment sector have shown interest to use VR applications for their purposes. In this thesis, a VR simulation, which enables the user to maneuver an electron through a virtual semiconductor’s crystalline atomic structure, is devised on behalf of the Institute of Microelectronics at the TU Wien. The application is based upon the cellVIEW framework, which was developed using the Unity game engine to visualize large sets of biomolecular data in real time. At first, background regarding the topic at hand is provided by defining what VR is, how it is achieved and how it has evolved from Charles Wheatstone’s stereoscope to the HTC Vive VR system. Building upon that knowledge, the reader is introduced to the main problems that research in the field of Virtual Reality is currently facing, especially\nconsidering the avoidance of VR sickness. For the development of the simulation devised in the course of this thesis, two main obstacles had to be overcome: moving the user through the virtual world without causing discomfort and handling collisions between the electron and the thousands of atoms in the crystal structure without losing performance.\nTo address the first issue, related work is reviewed and drawn inspiration from. To avoid “vection”, movement in our simulation is limited to the forward direction and external forces are applied to a sphere representing the electron instead of influencing the user himself. To keep the frame-rate high despite the potentially large number of atoms in the virtual scene, a space-partitioning octree data-structure has been implemented.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 453, "image_height": 300, "name": "Knapp_2017_CVR-image.JPG", "type": "image/jpeg", "size": 37150, "path": "Publication:Knapp_2017_CVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/Knapp_2017_CVR-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/Knapp_2017_CVR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1496 ], "date_end": "2017-09-23", "date_start": "2017-02", "matrikelnr": "1327386", "supervisor": [ 1285 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Knapp_2017_CVR-Bachelor Thesis.pdf", "type": "application/pdf", "size": 8142737, "path": "Publication:Knapp_2017_CVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/Knapp_2017_CVR-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/Knapp_2017_CVR-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 453, "image_height": 300, "name": "Knapp_2017_CVR-image.JPG", "type": "image/jpeg", "size": 37150, "path": "Publication:Knapp_2017_CVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/Knapp_2017_CVR-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/Knapp_2017_CVR-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/", "__class": "Publication" }, { "id": "kroesl-2017-LiteMaker", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "LiteMaker: Interactive Luminaire Development using Progressive Photon Tracing and Multi-Resolution Upsampling", "date": "2017-09", "abstract": "Industrial applications like luminaire development (the creation of a luminaire in terms of geometry and material) or lighting design (the efficient and aesthetic placement of luminaires in a virtual scene) rely heavily on high realism and physically correct simulations. Using typical approaches like CAD modeling and offline rendering, this requirement induces long processing times and therefore inflexible workflows. In this paper, we combine a GPU-based progressive photon-tracing algorithm to accurately simulate the light distribution of a luminaire with a novel multi-resolution image-filtering approach that produces visually meaningful intermediate results of the simulation process. By using this method in a 3D modeling environment, luminaire development is turned into an interactive process, allowing for real-time modifications and immediate feedback on the light distribution. Since the simulation results converge to a physically plausible solution that can be imported as a representation of a luminaire into a light-planning software, our work contributes to combining the two former decoupled workflows of luminaire development and lighting design, reducing the overall production time and cost for luminaire manufacturers. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1650, "image_height": 1200, "name": "kroesl-2017-LiteMaker-image.jpg", "type": "image/jpeg", "size": 123349, "path": "Publication:kroesl-2017-LiteMaker", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030, 659, 678, 193 ], "booktitle": "Vision, Modeling & Visualization", "date_from": "2017-09-25", "date_to": "2017-09-27", "doi": "10.2312/vmv.20171253", "editor": "Matthias Hullin and Reinhard Klein and Thomas Schultz and Angela Yao", "event": "VMV 2017", "isbn": "978-3-03868-049-9", "lecturer": [ 1030 ], "location": "Bonn, Germany", "pages_from": "1", "pages_to": "8", "publisher": "The Eurographics Association", "research_areas": [ "Rendering" ], "keywords": [ "Computing methodologies", "Ray tracing", "Image processing", "Mesh geometry models" ], "weblinks": [ { "href": "https://diglib.eg.org/handle/10.2312/vmv20171253", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1650, "image_height": 1200, "name": "kroesl-2017-LiteMaker-image.jpg", "type": "image/jpeg", "size": 123349, "path": "Publication:kroesl-2017-LiteMaker", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-image:thumb{{size}}.png" }, { "description": "author's version", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2017-LiteMaker-paper.pdf", "type": "application/pdf", "size": 9344654, "path": "Publication:kroesl-2017-LiteMaker", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2017-LiteMaker-video.mp4", "type": "video/mp4", "size": 51946468, "path": "Publication:kroesl-2017-LiteMaker", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-video:video.mp4" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/", "__class": "Publication" }, { "id": "Michl_2017_CSV", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Generation and Visualisation of Crystal Structures", "date": "2017-09", "abstract": "The semiconductor industry has been experiencing an inexorable upward trend since its emergence almost 60 years ago, with ever since advancing technology. The development of continually smaller chips makes it possible to integrate small everyday objects such as keys or watches into the digital world. An important component of these chips are transistors, which are built up internally of at least one semiconductor.\nThis thesis deals with these semiconductors and presents a 3D game developed with\nUnity3D, which makes it possible to take look inside a transistor and explore it interactively. The player therefore has control of an electron flying through the crystal. However, this flight through the crystal is not free from obstacles. In the middle of the structure there are consistently occurring oxide layers which, if the electrons speed is too low, prevent the passage and repel the electron. Only at a correspondingly high speed is it possible to tunnel trough them. However, the focus is on the fact that the user can adjust\nthe scene, partly interactively, by means of various parameters and thus can generate\nall possible semiconductor structures. This is not only suitable for viewing and learning different structural shapes and their symmetries, but also changes the playing experience and the degree of difficulty.\nThe implementation is based on cellVIEW, a tool for the visualization of extensive molecular structures, which allows us to perform high-performance rendering of semiconductor structures of often far more than 15 million atoms, which implies, as the results at the end of the work show, really impressively large crystals.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 364, "image_height": 390, "name": "Michl_2017_CSV-image.JPG", "type": "image/jpeg", "size": 37598, "path": "Publication:Michl_2017_CSV", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/Michl_2017_CSV-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/Michl_2017_CSV-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1497 ], "date_end": "2017-09", "date_start": "2017-03", "matrikelnr": "01425673", "supervisor": [ 1285 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": 364, "preview_image_height": 390, "name": "Michl_2017_CSV-Bachelor Thesis.pdf", "type": "application/pdf", "size": 2891193, "path": "Publication:Michl_2017_CSV", "preview_name": "Michl_2017_CSV-Bachelor Thesis:preview.JPG", "preview_type": "image/jpeg", "preview_size": 37598, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/Michl_2017_CSV-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/Michl_2017_CSV-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 364, "image_height": 390, "name": "Michl_2017_CSV-image.JPG", "type": "image/jpeg", "size": 37598, "path": "Publication:Michl_2017_CSV", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/Michl_2017_CSV-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/Michl_2017_CSV-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/", "__class": "Publication" }, { "id": "Groeller-2017-AVC", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Adaptive Visual Computing", "date": "2017-08-31", "abstract": "Visual computing uses computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity concerning volume, veracity, velocity, and variety has increased considerably. Several adaptive visual computing approaches are discussed in detail. Data-sensitive navigation for user-interface elements is presented. The approach normalizes user input according to visual change, and also visually communicates this normalization. In this way, output-sensitive interactions can be realized. Quantitative and reproducible linking & brushing as integral part of visual analytics is approached through structured brushing, percentile brushes, linked statistics, and change visualization. Multiscale models, e.g., from structural biology, require multiscale dynamic color mapping with sometimes overlapping or contradicting colors. We present a technique, which adaptively, based on the current scale level, nonlinearly and seamlessly adjusts the color scheme to depict or distinguish the currently best visible structural information. Adaptive visual computing is addressing the amplified data complexity through increased scalability. Research challenges and directions are sketched at the end of the talk.\n", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2017-08-31", "date_to": "2017-08-31", "event": "Visit of University of Konstanz", "location": "University of Konstanz", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Groeller-2017-AVC/", "__class": "Publication" }, { "id": "LEOPOLD-2017-ALG", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Algorithmic Botany via Lindenmayer Systems in Blender", "date": "2017-08-29", "abstract": "Lindenmayer systems, or L-systems, are a well-established and thoroughly studied concept in the field of computer graphics. Originally introduced by theoretical botanist Aristid Lindenmayer to model the development of simple multicellular organisms, they are now commonly associated with the modeling of whole plants and complex branching structures. Various extensions such as stochastic, parametric and context-sensitive L-systems have been introduced to the formalism, allowing the modeling of stochastic, continuous growth and complex interactions of plant organisms with each other and with the external environment. More specialized interactive techniques are arguably better suited to more intuitively and predictably produce plant structures where artistic control is essential. Nonetheless, L-systems remain a fascinating and powerful methodology as they allow for the description of patterns of astonishing diversity via simple formal rules of production and graphical interpretation of the results. Small changes to these rules often yield unexpected but aesthetically fascinating results and the plethora of forms and patterns thus produced constitute a subject of study that is highly worthwhile in itself.\n\nThe focus of this work is not to present novel techniques for the aesthetic or biological modeling of plants. This work aims at integrating the existing formalism of parametric, context-sensitive L-systems in a widely used open-source computer graphics software like Blender in the form of an add-on, as well as to discuss the potential advantages of such an integration. In this regard, special consideration is given to allow the modeling of environmental interaction of a growing structure with a Blender scene.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 589, "image_height": 395, "name": "LEOPOLD-2017-ALG-image.jpg", "type": "image/jpeg", "size": 31455, "path": "Publication:LEOPOLD-2017-ALG", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/LEOPOLD-2017-ALG-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/LEOPOLD-2017-ALG-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1491 ], "date_end": "2017-08-09", "date_start": "2016-03-04", "matrikelnr": "1327344", "supervisor": [ 193 ], "research_areas": [ "Modeling" ], "keywords": [ "l-systems", "algorithmic botany" ], "weblinks": [ { "href": "https://github.com/mangostaniko/lpy-lsystems-blender-addon", "caption": "Source code repository", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 589, "image_height": 395, "name": "LEOPOLD-2017-ALG-image.jpg", "type": "image/jpeg", "size": 31455, "path": "Publication:LEOPOLD-2017-ALG", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/LEOPOLD-2017-ALG-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/LEOPOLD-2017-ALG-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "LEOPOLD-2017-ALG-thesis.pdf", "type": "application/pdf", "size": 5048736, "path": "Publication:LEOPOLD-2017-ALG", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/LEOPOLD-2017-ALG-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/LEOPOLD-2017-ALG-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/", "__class": "Publication" }, { "id": "koeppel-2016-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Extracting Noise Models – considering X / Y and Z Noise", "date": "2017-08-28", "abstract": "We have developed two different test setups allowing the characterization of noise in X,\nY and Z direction for the KinectV2 and the Phab2Pro depth sensors. We have combined\nthese two methods, generating a single noise model allowing a prediction of the amount of\nnoise in specific areas of an image in the three respective directions at a certain distance\nand rotation. We have conducted two test setups and measured the noise from 900 mm\nto 3.100 mm for the generation of the noise models. The test setup of this thesis focused\non determining the noise in X, Y and Z direction, covering the whole frustum of the\nrespective depth sensor. In this thesis, Z noise was measured against a wall and X and\nY noises were measured using a 3D chequerboard that was shifted through the room,\nallowing the above mentioned coverage of the whole frustum. Along the edges of the\ncells of the chequerboard, the X and Y noise was measured. The combined model was\nevaluated by using a solid cube to classify the quality of our noise model.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Camera calibration prior to extraction of depth values", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 443, "image_height": 316, "name": "koeppel-2016-baa-image.png", "type": "image/png", "size": 133989, "path": "Publication:koeppel-2016-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/koeppel-2016-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/koeppel-2016-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1367 ], "co_supervisor": [ 193 ], "date_end": "2017-08-28", "date_start": "2016-06-17", "duration": "4 months", "matrikelnr": "01327052", "note": "1", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "noise model", "surface reconstruction", "sensor noise" ], "weblinks": [], "files": [ { "description": "Camera calibration prior to extraction of depth values", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 443, "image_height": 316, "name": "koeppel-2016-baa-image.png", "type": "image/png", "size": 133989, "path": "Publication:koeppel-2016-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/koeppel-2016-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/koeppel-2016-baa-image:thumb{{size}}.png" }, { "description": "Bachelor thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "koeppel-2016-baa-thesis.pdf", "type": "application/pdf", "size": 8955320, "path": "Publication:koeppel-2016-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/koeppel-2016-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/koeppel-2016-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/", "__class": "Publication" }, { "id": "grossmann-2016-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Extracting Sensor Specific Noise Models", "date": "2017-08-28", "abstract": "With the growing number of consumer-oriented depth sensors like the Kinect or the\nnewly released Phab2Pro, the question of how precise these sensors are arises. In this\nthesis we want to evaluate the average noise in the generated depth measurements in\nboth the axial direction and the lateral directions. As part of a two-part project this\nthesis will view the noise’s development with varying distance and angle. Finally, we\nwill present and evaluate two models describing the noise behavior, with the first being\nderived from solely this thesis’ measurements and the second one being a combination of\nthe previous model and a model of a colleague. This derived models can be used in a\npost-processing step to filter the generated depth images.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Kinect v2 and Phab2Pro noise model evaluation", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 504, "image_height": 606, "name": "grossmann-2016-baa-image.png", "type": "image/png", "size": 217008, "path": "Publication:grossmann-2016-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/grossmann-2016-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/grossmann-2016-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1366 ], "co_supervisor": [ 193 ], "date_end": "2017-08-28", "date_start": "2016-06-17", "duration": "4 months", "matrikelnr": "01325103", "note": "1", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "noise model", "surface reconstruction", "sensor noise" ], "weblinks": [], "files": [ { "description": "Kinect v2 and Phab2Pro noise model evaluation", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 504, "image_height": 606, "name": "grossmann-2016-baa-image.png", "type": "image/png", "size": 217008, "path": "Publication:grossmann-2016-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/grossmann-2016-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/grossmann-2016-baa-image:thumb{{size}}.png" }, { "description": "Bachelor thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "grossmann-2016-baa-thesis.pdf", "type": "application/pdf", "size": 12775551, "path": "Publication:grossmann-2016-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/grossmann-2016-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/grossmann-2016-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/", "__class": "Publication" }, { "id": "brandstaetter_01", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Implementation and Evaluation of a Fish-Eye Lens for Interactive Visualization of Features in Volumetric Datasets", "date": "2017-08-23", "abstract": "The exploration of data visualisations has become an important task and already reaches beyond scientific purposes. Especially, in material sciences and related industries, data analysis is crucial for the detection of possible error sources or weak spots, that occurred during fabrication, to meet the required quality criteria. open_iA is an open source software that offers such data analysis of computed tomography material data.\nThis thesis addresses the topic of data exploration by implementing and integrating a 2D fish-eye lens into open_iA. The fish-eye lens has been chosen due to its magnification characteristics, that provide focus and context at the same time. The distinct distortion of the fish-eye lens was achieved by applying a thin-plate spline (TPS2) transformation to the dataset.\nBeside the fish-eye lens, there exist many more magic lenses for different kinds of datasets and purposes, which will be introduced in a few words. Furthermore, the hard- and software requirements for the fish-eye lens as well as general design concepts are defined.\nThen, a detailed explanation of the thin-plate spline transformation and its algorithm is given and illustrated with example datasets and step-by-step calculations. Finally, the fish-eye lens is tested for its functionality and usability with material datasets.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 318, "image_height": 291, "name": "brandstaetter_01-image.JPG", "type": "image/jpeg", "size": 29592, "path": "Publication:brandstaetter_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/brandstaetter_01-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/brandstaetter_01-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1502 ], "date_end": "2017-08-23", "date_start": "2017-02", "matrikelnr": "01326465", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "brandstaetter_01-Bachelor Thesis.pdf", "type": "application/pdf", "size": 4447464, "path": "Publication:brandstaetter_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/brandstaetter_01-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/brandstaetter_01-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 318, "image_height": 291, "name": "brandstaetter_01-image.JPG", "type": "image/jpeg", "size": 29592, "path": "Publication:brandstaetter_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/brandstaetter_01-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/brandstaetter_01-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/", "__class": "Publication" }, { "id": "ESBERGER-2016-AHO", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "A History of Austrian Computer Games", "date": "2017-08-22", "abstract": "Videospiele sind nicht nur eine der modernsten Unterhaltungs- und Kunstmedien, sondern\nauch eine der am schnelllebigsten. Trotz der Tatsache, dass erst seit 45 Jahren Videospiele\nexistieren, sind bereits viele Informationen darüber verloren gegangen. In Österreich\nbegann der Videospiele-Boom erst um 1990 herum, trotzdem sind auch hier schon viele\nInformationen verloren gegangen. Diese Arbeit soll auf den folgenden Seiten zeigen,\nwie das Projekt ”A History of Austrian Computer Games” durchgeführt wurde, um\nInformationen über die österreichische Spiellandschaft zu erhalten. Unter anderem wurde\ndazu ein Webauftritt erstellt, welcher die Spielegeschichte in einer Datenbank festhält\nund öffentlich verfügbar macht. Interviews von Gründer und Entwickler der damaligen\nSzene zeigen aber auch die persönliche Sicht auf die Ereignisse der Vergangenheit.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 800, "image_height": 200, "name": "ESBERGER-2016-AHO-image.png", "type": "image/png", "size": 37734, "path": "Publication:ESBERGER-2016-AHO", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/ESBERGER-2016-AHO-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/ESBERGER-2016-AHO-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1374 ], "date_end": "2017-08-22", "date_start": "2016-08-12", "matrikelnr": "1325696", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [ { "href": "https://austriangames.at/", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 800, "image_height": 200, "name": "ESBERGER-2016-AHO-image.png", "type": "image/png", "size": 37734, "path": "Publication:ESBERGER-2016-AHO", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/ESBERGER-2016-AHO-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/ESBERGER-2016-AHO-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ESBERGER-2016-AHO-thesis.pdf", "type": "application/pdf", "size": 1157831, "path": "Publication:ESBERGER-2016-AHO", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/ESBERGER-2016-AHO-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/ESBERGER-2016-AHO-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/", "__class": "Publication" }, { "id": "stappen_2017_animatedcomic", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Hybrid Frames - Animated Narrative Sequences in Molecular Visualization", "date": "2017-08", "abstract": "In bio-molecular visualizations animations are used to convey transitions between different representation states. For example, to understand the transition from a physical correct representation of a HIV molecule to an abstract visualization like a bar chart, an animation can be used. This method allows to trace the structures during the transition and therefore brings them into a direct relation. The disadvantage of an animation is that the presented content is fleeting. Therefore, the change over time cannot be compared or investigated in detail. To mitigate this disadvantage, we propose a hybrid visualization composed of an animation and a series of still images. The series of still images allows an overview over the transition and comparison of states, but the relation of the representations may get lost. For this reason, the animation is used. By clicking on a single frame inside the sequence the animation is played starting from the selected frame to the next frame in the sequence. The expressiveness of the narrative sequence of images is determined by the selected images. Therefore, we adapted Key Probe, an object based key frame extraction method developed by Huang et al., to be operable on molecular data. Molecular data consists of thousands of protein instances and is therefore challenging for object based key frame extraction methods. We introduced several optimization techniques to Key Probe. We show that the adapted Key Probe returns reasonable result within a reasonable computation time. The so extracted key frames are then displayed in a sequence of images together with a 3D animated view of the molecular data. This allows, additionally to the fast overview, an in-depth exploration of a specific sub-sequence of the animation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 848, "image_height": 392, "name": "stappen_2017_animatedcomic-teaser.png", "type": "image/png", "size": 324410, "path": "Publication:stappen_2017_animatedcomic", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/stappen_2017_animatedcomic-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/stappen_2017_animatedcomic-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1406 ], "date_end": "2017-08-22", "date_start": "2016-09-02", "matrikelnr": "1392020", "supervisor": [ 1072 ], "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": { "1": { "description": null, "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 848, "image_height": 392, "name": "stappen_2017_animatedcomic-teaser.png", "type": "image/png", "size": 324410, "path": "Publication:stappen_2017_animatedcomic", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/stappen_2017_animatedcomic-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/stappen_2017_animatedcomic-teaser:thumb{{size}}.png" }, "2": { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "stappen_2017_animatedcomic-thesis.pdf", "type": "application/pdf", "size": 11955139, "path": "Publication:stappen_2017_animatedcomic", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/stappen_2017_animatedcomic-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/stappen_2017_animatedcomic-thesis:thumb{{size}}.png" } }, "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/", "__class": "Publication" }, { "id": "Zusag-2017-Bach", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Deep Learning Architectures for vessel Segmentation in 2D and 3D Biomedical Images", "date": "2017-08", "abstract": "The aim of this thesis is to describe deep learning approaches for vessel segmentation in 2 and 3-dimensional biomedical images and the results achieved from these approaches on specific sets of data. The first chapter introduces the objective of this thesis, describes the data, which was used for the training, gives a short overview of machine learning and covers some theoretical aspects of artificial neural networks and especially of convolutional neural networks. The second chapter describes methods that were used for achieving the segmentation in 2 and 3 dimensions, like preprocessing of the images, algorithmic approaches, and general project set-up. The third and final chapter focuses on the results of methods described in chapter 2, contains personal advice for future approaches for improving the algorithm’s results and discusses the results. The thesis provides the theory, code snippets for the most fundamental part of the algorithms’ implementations and shows graphical, as well as numerical results of the approaches.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 481, "image_height": 151, "name": "Zusag-2017-Bach-image.JPG", "type": "image/jpeg", "size": 20848, "path": "Publication:Zusag-2017-Bach", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1486 ], "date_end": "2017", "date_start": "2016", "matrikelnr": "1427881", "supervisor": [ 190 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Zusag-2017-Bach-Bachelor Thesis.pdf", "type": "application/pdf", "size": 11031231, "path": "Publication:Zusag-2017-Bach", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 481, "image_height": 151, "name": "Zusag-2017-Bach-image.JPG", "type": "image/jpeg", "size": 20848, "path": "Publication:Zusag-2017-Bach", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-image:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/", "__class": "Publication" }, { "id": "Groeller-2017-PTPMD", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "AnimoAminoMiner: Exploration of Protein Tunnels and their Properties in Molecular Dynamics", "date": "2017-07-24", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1254, 1189, 166, 171, 1248 ], "date_from": "2017-07-24", "date_to": "2017-07-24", "event": "BioVis@ISMB 2017", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Groeller-2017-PTPMD/", "__class": "Publication" }, { "id": "ERLER-2017-HVR", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Haptic Feedback in Room-Scale VR", "date": "2017-07-18", "abstract": "Virtual reality (VR) is now becoming a mainstream medium. Current systems like the HTC Vive offer accurate tracking of the HMD and controllers, which allows for highly immersive interactions with the virtual environment. The interactions can be further enhanced by adding feedback. As an example, a controller can vibrate when it is close to a grabbable ball. \n\nAs such interactions are not exhaustingly researched, we conducted a user study. Specifically, we examine:\n\n- grabbing and throwing with controllers in a simple basketball game.\n\n- the influence of haptic and optical feedback on performance, presence, task load, and usability.\n\n- the advantages of VR over desktop for point-cloud editing.\n\nSeveral new techniques emerged from the point-cloud editor for VR. The bi-manual pinch gesture, which extends the handlebar metaphor, is a novel viewing method used to translate, rotate, and scale the point-cloud. Our new rendering technique uses the geometry shader to draw sparse point clouds quickly. The selection volumes at the controllers are our new technique to efficiently select points in point clouds. The resulting selection is visualized in real time.\n\nThe results of the user study show that:\n\n- grabbing with a controller button is intuitive but throwing is not. Releasing a button is a bad metaphor for releasing a grabbed virtual object in order to throw it.\n\n- any feedback is better than none. Adding haptic, optical, or both feedback types to the grabbing improves the user performance and presence. However, only sub-scores like accuracy and predictability are significantly improved. Usability and task load are mostly unaffected by feedback.\n\n- the point-cloud editing is significantly better in VR with the bi-manual pinch gesture and selection volumes than on the desktop with the orbiting camera and lasso selections.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "point cloud selection", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 900, "name": "ERLER-2017-HVR-point cloud selection.png", "type": "image/png", "size": 920489, "path": "Publication:ERLER-2017-HVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-point cloud selection.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-point cloud selection:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1395 ], "date_end": "2017", "date_start": "2016", "diploma_examina": "2017-08-17", "matrikelnr": "01426424", "supervisor": [ 193, 1116 ], "research_areas": [ "Perception", "Rendering" ], "keywords": [ "virtual reality, room-scale VR, throwing, grabbing, physics, basketball, haptic feedback, optical feedback, controllers, point cloud, point-cloud editing, presence, performance, usability, task load" ], "weblinks": [ { "href": "https://github.com/ErlerPhilipp/VR_DA", "caption": "VR Apps Repo", "description": "This is the repo containing the basketball game, the feedback tester and the point cloud editor.", "main_file": 1 }, { "href": "https://bitbucket.org/PhErler/surveyanalyzer/src/master/", "caption": "Analyzer Repo", "description": "This is the self-written tool to analyze the survey results statistically.", "main_file": 1 }, { "href": "https://philipperler.net/2017/06/13/haptic-feedback-in-room-scale-vr/", "caption": "P++ VR DA", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "point cloud selection", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 900, "name": "ERLER-2017-HVR-point cloud selection.png", "type": "image/png", "size": 920489, "path": "Publication:ERLER-2017-HVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-point cloud selection.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-point cloud selection:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "ERLER-2017-HVR-poster.pdf", "type": "application/pdf", "size": 6221471, "path": "Publication:ERLER-2017-HVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ERLER-2017-HVR-thesis.pdf", "type": "application/pdf", "size": 15825861, "path": "Publication:ERLER-2017-HVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/", "__class": "Publication" }, { "id": "Purgathofer-2017-VC-Interface", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Computing als Interface zur Entscheidungsunterstützung", "date": "2017-07-04", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2017-07-04", "event": "RailTec 4.0 Workshop", "location": "Wien", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Purgathofer-2017-VC-Interface/", "__class": "Publication" }, { "id": "Kovacs_2017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Shadow Volumes in Unreal Engine 4", "date": "2017-06-25", "abstract": "The presented bachelor thesis project explores the possibilities of implementing custom lighting techniques in a state-of-the-art game engine.\nSpecifically, Unreal Engine 4 is analyzed for the feasibility of implementing shadow\nvolumes in a shader-centric plugin. The thesis discusses the theoretical and practical background of Unreal Engine and\nof shadow volumes, and provides detailed information on every implementation step. It shows the challenges of customization and the results achieved.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1141, "image_height": 572, "name": "Kovacs_2017-image.jpg", "type": "image/jpeg", "size": 42348, "path": "Publication:Kovacs_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/Kovacs_2017-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/Kovacs_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1487 ], "date_end": "2017-06-25", "date_start": "2017-01-25", "matrikelnr": "1227520", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Kovacs_2017-Bachelor Thesis.pdf", "type": "application/pdf", "size": 5330718, "path": "Publication:Kovacs_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/Kovacs_2017-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/Kovacs_2017-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1141, "image_height": 572, "name": "Kovacs_2017-image.jpg", "type": "image/jpeg", "size": 42348, "path": "Publication:Kovacs_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/Kovacs_2017-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/Kovacs_2017-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/", "__class": "Publication" }, { "id": "CORNEL-2017-FRS", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Forced Random Sampling: fast generation of importance-guided blue-noise samples", "date": "2017-06", "abstract": "In computer graphics, stochastic sampling is frequently used to efficiently approximate complex functions and integrals. The error of approximation can be reduced by distributing samples according to an importance function, but cannot be eliminated completely. To avoid visible artifacts, sample distributions are sought to be random, but spatially uniform, which is called blue-noise sampling. The generation of unbiased, importance-guided blue-noise samples is expensive and not feasible for real-time applications. Sampling algorithms for these applications focus on runtime performance at the cost of having weak blue-noise properties. Blue-noise distributions have also been proposed for digital halftoning in the form of precomputed dither matrices. Ordered dithering with such matrices allows to distribute dots with blue-noise properties according to a grayscale image. By the nature of ordered dithering, this process can be parallelized easily. We introduce a novel sampling method called forced random sampling that is based on forced random dithering, a variant of ordered dithering with blue noise. By shifting the main computational effort into the generation of a precomputed dither matrix, our sampling method runs efficiently on GPUs and allows real-time importance sampling with blue noise for a finite number of samples. We demonstrate the quality of our method in two different rendering applications.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3206, "image_height": 1830, "name": "CORNEL-2017-FRS-image2.png", "type": "image/png", "size": 2261746, "path": "Publication:CORNEL-2017-FRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image2:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 877, 1129, 659, 193 ], "date_from": "2017-06-27", "date_to": "2017-06-30", "event": "Computer Graphics International 2017", "issn": "1432-2315", "journal": "The Visual Computer", "lecturer": [ 877 ], "location": "Yokohama, Japan", "number": "6", "pages_from": "833", "pages_to": "843", "volume": "33", "research_areas": [ "Rendering" ], "keywords": [ "blue-noise sampling", "importance sampling" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 512, "name": "CORNEL-2017-FRS-image.png", "type": "image/png", "size": 345074, "path": "Publication:CORNEL-2017-FRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image:thumb{{size}}.png" }, { "description": null, "filetitle": "image2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3206, "image_height": 1830, "name": "CORNEL-2017-FRS-image2.png", "type": "image/png", "size": 2261746, "path": "Publication:CORNEL-2017-FRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image2:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "CORNEL-2017-FRS-paper.pdf", "type": "binary/octet-stream", "size": 4668674, "path": "Publication:CORNEL-2017-FRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-paper.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "PathSpace", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/", "__class": "Publication" }, { "id": "Escribano_2017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visual Evaluation of Computational Models of the Biological Mesoscale", "date": "2017-06", "abstract": "Currently available techniques for capturing macromolecules on atomic level are not appropriate for large structures on the biological mesoscale. Therefore, those structures, such as viruses or cell organelles, have to be assembled from molecular building blocks using software tools. The goal of recent projects like cellPACK is to create models with these tools, allowing the scientific community to iteratively give feedback and edit the models, in order to eventually generate the most suitable illustration consistent with the current state of knowledge. For that purpose, we need to discern the values for properties like distribution, density or opacity that make a model preferable to others. \nThis thesis aims to create a software program for visual evaluation of the quality of the assembled structures. The program will extract the information about the quality of spatial distribution of molecules in the scenes produced by packing tools and plot it into a set of 2D representations. These will convey the statistical information about the distribution and enable the visual comparison of generated models, which vary not only due to the stochastic nature of the packing algorithms but also because of the use of different parameter settings.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 813, "image_height": 441, "name": "Escribano_2017-image.jpg", "type": "image/jpeg", "size": 76644, "path": "Publication:Escribano_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/Escribano_2017-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/Escribano_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1417 ], "date_end": "2017-06", "date_start": "2017-11", "matrikelnr": "01635324", "supervisor": [ 1285, 935 ], "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 813, "image_height": 441, "name": "Escribano_2017-image.jpg", "type": "image/jpeg", "size": 76644, "path": "Publication:Escribano_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/Escribano_2017-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/Escribano_2017-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Escribano_2017-thesis.pdf", "type": "application/pdf", "size": 2872837, "path": "Publication:Escribano_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/Escribano_2017-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/Escribano_2017-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/", "__class": "Publication" }, { "id": "geymayer-2017-std", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "How Sensemaking Tools Influence Display Space Usage", "date": "2017-06", "abstract": "We explore how the availability of a sensemaking tool influences users’ knowledge externalization strategies. On a large display,\nusers were asked to solve an intelligence analysis task with or without a bidirectionally linked concept-graph (BLC) to organize\ninsights into concepts (nodes) and relations (edges). In BLC, both nodes and edges maintain “deep links” to the exact source\nphrases and sections in associated documents. In our control condition, we were able to reproduce previously described spatial\norganization behaviors using document windows on the large display. When using BLC, however, we found that analysts apply\nspatial organization to BLC nodes instead, use significantly less display space and have significantly fewer open windows.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 805, "image_height": 344, "name": "geymayer-2017-std-image.PNG", "type": "image/png", "size": 604999, "path": "Publication:geymayer-2017-std", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1477, 1110, 1476, 202 ], "booktitle": "EuroVis Workshop on Visual Analytics", "event": "EuroVis 2017", "lecturer": [ 1477 ], "research_areas": [ "InfoVis" ], "keywords": [ "sensemaking", "large displays", "evaluation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 805, "image_height": 344, "name": "geymayer-2017-std-image.PNG", "type": "image/png", "size": 604999, "path": "Publication:geymayer-2017-std", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "geymayer-2017-std-paper.pdf", "type": "application/pdf", "size": 1117995, "path": "Publication:geymayer-2017-std", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/", "__class": "Publication" }, { "id": "PODARAS-2017-ACRS", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Automated Classification of Road-Surface Types Based on Crowd-Sourced Data", "date": "2017-05-30", "abstract": "This thesis presents a method to automatically estimate road-surface types based on\ncrowd-sourced and open source data to give cyclists an overview of the road conditions\nalong a cycle route.\n\nAutomatic classification of land-cover has been an active research field in recent years\nand mainly focuses on the classification of areas based on digital satellite and aerial\nimagery. Performing classification of road-surfaces based on such images bears some\nspecial challenges because roads have a width of only a few pixels on these photos, which\nmakes it difficult to successfully apply classical image-analysis methods. Problems are\ncaused by mixed pixels, which do not belong to a single surface class exclusively. Due to\nobjects occluding the street, like for example trees and cars, it is difficult to isolate the\nstreet’s actual surface from the rest of the image. This biases the classification procedure\nand may cause faulty results. Furthermore, aerial images of high spatial resolution are\nonly available with a small range of spectral bands.\n\nThis thesis proposes an alternative approach for road-surface classification by utilizing\nopen source data with a focus on data from the project OpenStreetMap (OSM). OSM\nis an online mapping project which collects geographical data and makes it available\nfreely by providing a digital world map. Data is collected by users on a voluntary basis.\nOSM offers its users the possibility to add various properties to streets by making textual\nannotations. From these so-called tags it is possible to deduce road-surface properties\nfor numerous roads by using methods from pattern recognition. The system is designed\nso it can be extended with additional data from other sources (e.g., height information)\nto improve classification results. Classification takes place at two levels, based on a\ncoarse-to-fine-grained surface taxonomy.\n\nThe method was evaluated on different testing areas in Austria and Liechtenstein. At the\ncoarse-grained level, up to 90% of streets were correctly classified. At the fine-grained\nlevel, up to 60% of streets were correctly classified. The advantage of the proposed\nmethod is that it is fast and applicable to regions worldwide at low cost, as long as\nsufficient OSM data for a certain region is available.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1126, "image_height": 936, "name": "PODARAS-2017-ACRS-image.png", "type": "image/png", "size": 88316, "path": "Publication:PODARAS-2017-ACRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1130 ], "date_end": "2017-05-30", "date_start": "2016-06-07", "diploma_examina": "2017-05-30", "matrikelnr": "0605836", "supervisor": [ 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1126, "image_height": 936, "name": "PODARAS-2017-ACRS-image.png", "type": "image/png", "size": 88316, "path": "Publication:PODARAS-2017-ACRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "PODARAS-2017-ACRS-poster.pdf", "type": "application/pdf", "size": 2635905, "path": "Publication:PODARAS-2017-ACRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "PODARAS-2017-ACRS-thesis.pdf", "type": "application/pdf", "size": 13760740, "path": "Publication:PODARAS-2017-ACRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/", "__class": "Publication" }, { "id": "Matusich-2017-01", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Billboarded Cutaway Visualization for Subsurface Urban Sewer Networks - Flood Simulation embedded in Unity3D", "date": "2017-05-02", "abstract": "Visualizing the results of a flood simulation interactively in real-time has become very important due to the increasing number of flood hazards in the recent past. An important part of a flood simulation is the impact on the sewer system of the flooded city. For the simulation itself only a very primitive data structure of a sewer system is required. Therefore this thesis proposes an innovative and efficient technique to render sewage pipes and to visualize the water flow inside of them. With a simple underlying data structure of node positions, billboarded sewage pipes are constructed in the geometry\nshader. With a proxy geometry the stencil buffer is utilized to distinguish outside and inside of the pipe and the billboards are drawn accordingly.\nIn addition another technique is introduced to cut-open the occluding terrain to expose\nthe sewage pipes to the viewer. Therefore a two dimensional distance transform of the\nsewer network is generated. The created distance field is used to discard fragments of the terrain, which are relatively close to a pipe. Further an artificial thickness is added to the cut-open terrain analytically in image-space.\nThe techniques are presented in detail and their implementation is demonstrated in\nUnity3D. It is evaluated by comparing the result to multiple conventions for computer\ngenerated cutaways. Additionally the feedback from visualization experts and the\ntechnical performance is presented. The results show that billboarded and cut-open\ntubular geometry can be rendered fast, efficient and with a low memory footprint.\nFurthermore the technique fulfills many of the design principles for cutaways and got\npositive feedback from visualization experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 254, "name": "Matusich-2017-01-image.JPG", "type": "image/jpeg", "size": 27599, "path": "Publication:Matusich-2017-01", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/Matusich-2017-01-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/Matusich-2017-01-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1380 ], "date_end": "2017-05-02", "date_start": "2016-08-10", "matrikelnr": "0806024", "supervisor": [ 171, 798 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [ { "href": "http://www.matusich.at/thesis", "caption": "Additional Information", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Matusich-2017-01-Bachelor Thesis.pdf", "type": "application/pdf", "size": 4067511, "path": "Publication:Matusich-2017-01", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/Matusich-2017-01-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/Matusich-2017-01-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 254, "name": "Matusich-2017-01-image.JPG", "type": "image/jpeg", "size": 27599, "path": "Publication:Matusich-2017-01", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/Matusich-2017-01-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/Matusich-2017-01-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/", "__class": "Publication" }, { "id": "kouril-2017-sccgposter", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Maya2cellVIEW: Integrated Tool for Creating Large and Complex Molecular Scenes", "date": "2017-05", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3789, "image_height": 2013, "name": "kouril-2017-sccgposter-teaser.png", "type": "image/png", "size": 285215, "path": "Publication:kouril-2017-sccgposter", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383, 1189, 1248, 171 ], "date_from": "2017-05", "date_to": "2017-05", "event": "Spring Conference on Computer Graphics 2017", "research_areas": [ "BioVis", "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kouril-2017-sccgposter-poster.pdf", "type": "application/pdf", "size": 6909053, "path": "Publication:kouril-2017-sccgposter", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3789, "image_height": 2013, "name": "kouril-2017-sccgposter-teaser.png", "type": "image/png", "size": 285215, "path": "Publication:kouril-2017-sccgposter", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/", "__class": "Publication" }, { "id": "Radwan-2017-Occ", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Cut and Paint: Occlusion-Aware Subset Selection for Surface Processing", "date": "2017-05", "abstract": "User-guided surface selection operations are straightforward for visible regions on a convex model. However, concave surfaces present a challenge because self-occlusions require multiple camera positions to get unobstructed views. Therefore, users often have to locate and switch to new unobstructed views in order to continue the operation. Our novel approach enables operations like painting or cutting in a single view, even on the backside of objects and for arbitrary depth complexity, with interactive performance. Continuous projection of a curve drawn in screen space onto the mesh guarantees seamless brush strokes or manifold cuts, unaffected by any occlusions.\n\nOur occlusion-aware surface-processing method enables a number of applications in an easy way. As examples, we show continuous painting on the surface, selecting regions for texturing, creating illustrative cutaways from nested models and animation of cutaways.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Occlusion-aware generation of a cutaway illustration.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1964, "image_height": 2040, "name": "Radwan-2017-Occ-image.jpg", "type": "image/jpeg", "size": 735971, "path": "Publication:Radwan-2017-Occ", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 923, 948, 823, 193 ], "booktitle": "Proceedings of Graphics Interface 2017", "date_from": "2017-05-17", "date_to": "2017-05-19", "doi": "10.20380/GI2017.11", "event": "Graphics Interface 2017", "lecturer": [ 923 ], "location": "Edmonton, Alberta, CA", "pages_from": "82", "pages_to": "89", "publisher": "Canadian Human-Computer Communications Society / Soci{\\'e}t{\\'e} canadienne du dialogue humain-machine", "research_areas": [ "Geometry", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "Occlusion-aware generation of a cutaway illustration.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1964, "image_height": 2040, "name": "Radwan-2017-Occ-image.jpg", "type": "image/jpeg", "size": 735971, "path": "Publication:Radwan-2017-Occ", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Radwan-2017-Occ-paper.pdf", "type": "application/pdf", "size": 5813944, "path": "Publication:Radwan-2017-Occ", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/", "__class": "Publication" }, { "id": "Ganuza-2017-IVCSGM", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Interactive Visual Categorization of Spinel-Group Minerals", "date": "2017-05", "abstract": "Spinel-group minerals are excellent indicators of geological environments and are of invaluable help in the search for mineral\ndeposits of economic interest. The geologists analyze them by means of Barnes and Roeder’s contours. In this paper, we present a\ncollection of novel, interactive methods, which assist geologists in the categorization of spinel-group minerals. We fully integrate\nBarnes and Roeder’s contours using a polygonal representation. This makes it possible to efficiently superimpose user-provided point\ndata over the contours, and to automatically rank the contours based on the number of enclosed points. We also allow the expert to\ncreate contours for the user-provided point data. Once user contours are created, they can be compared with Barnes and Roeder’s\ncontours. During the analysis, the user can drill-down by means of brushing. As we deal with specific data, we apply two novel\nbrushing techniques, i.e., the percentile brush and the contour brush. The novel brushing mechanisms along with the interactive\ncomparison speed-up the analysis significantly. We evaluate the newly introduced approach and the resulting novel workflow using\nreal-word data from different locations in Argentina. According to the domain experts, the classification of spinel minerals needs\nseveral minutes now, while it took a few days with the current state of the art approach in the domain.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1228, 1229, 1233, 408, 1232, 166, 235 ], "booktitle": "Proceedings of the 33rd Spring Conference on Computer Graphics (SCCG 2017)", "event": "33rd Spring Conference on Computer Graphics (SCCG 2017)", "lecturer": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Ganuza-2017-IVCSGM-paper.pdf", "type": "application/pdf", "size": 3367249, "path": "Publication:Ganuza-2017-IVCSGM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza-2017-IVCSGM/Ganuza-2017-IVCSGM-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza-2017-IVCSGM/Ganuza-2017-IVCSGM-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza-2017-IVCSGM/", "__class": "Publication" }, { "id": "Gehrer-2017-molmach", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Visualization of molecular machinery using agent-based animation", "date": "2017-05", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 335, "image_height": 182, "name": "Gehrer-2017-molmach-image.jpg", "type": "image/jpeg", "size": 15836, "path": "Publication:Gehrer-2017-molmach", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1194, 171 ], "booktitle": "Proceedings of SCCG 2017", "event": "Spring Conference on Computer Graphics", "lecturer": [ 1194 ], "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 335, "image_height": 182, "name": "Gehrer-2017-molmach-image.jpg", "type": "image/jpeg", "size": 15836, "path": "Publication:Gehrer-2017-molmach", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Gehrer-2017-molmach-paper.pdf", "type": "application/pdf", "size": 7769733, "path": "Publication:Gehrer-2017-molmach", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/", "__class": "Publication" }, { "id": "Waldin_Nicholas_2017_FlickerObserver", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Flicker Observer Effect: Guiding Attention Through High Frequency Flicker in Images", "date": "2017-05", "abstract": "Drawing the user's gaze to an important item in an image or a graphical user interface is a common challenge. Usually, some form of highlighting is used, such as a clearly distinct color or a border around the item. Flicker can also be very salient, but is often perceived as annoying. In this paper, we explore high frequency flicker (60 to 72 Hz) to guide the user's attention in an image. At such high frequencies, the critical flicker frequency (CFF) threshold is reached, which makes the flicker appear to fuse into a stable signal. However, the CFF is not uniform across the visual field, but is higher in the peripheral vision at normal lighting conditions. Through experiments, we show that high frequency flicker can be easily detected by observers in the peripheral vision, but the signal is hardly visible in the foveal vision when users directly look at the flickering patch. We demonstrate that this property can be used to draw the user's attention to important image regions using a standard high refresh-rate computer monitor with minimal visible modifications to the image. In an uncalibrated visual search task, users could in a crowded image easily spot the specified search targets flickering with very high frequency. They also reported that high frequency flicker was distracting when they had to attend to another region, while it was hardly noticeable when looking at the flickering region itself.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1461, 1110, 171 ], "date_from": "2014", "date_to": "2017", "event": "Eurographics 2017", "journal": "Computer Graphics Forum", "lecturer": [ 1339 ], "number": "2", "pages_from": "467", "pages_to": "476", "volume": "36", "research_areas": [ "Perception" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Waldin_Nicholas_2017_FlickerObserver-paper.pdf", "type": "application/pdf", "size": 6348247, "path": "Publication:Waldin_Nicholas_2017_FlickerObserver", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Waldin_Nicholas_2017_FlickerObserver/Waldin_Nicholas_2017_FlickerObserver-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Waldin_Nicholas_2017_FlickerObserver/Waldin_Nicholas_2017_FlickerObserver-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Waldin_Nicholas_2017_FlickerObserver/", "__class": "Publication" }, { "id": "waldner-2017-vph", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Exploring Visual Prominence of Multi-Channel Highlighting in Visualizations", "date": "2017-05", "abstract": "Visualizations make rich use of multiple visual channels so that there are few resources left to make selected focus elements visually\ndistinct from their surrounding context. A large variety of highlighting techniques for visualizations has been presented in the past,\nbut there has been little systematic evaluation of the design space of highlighting. We explore highlighting from the perspective\nof visual marks and channels – the basic building blocks of visualizations that are directly controlled by visualization designers.\nWe present the results from two experiments, exploring the visual prominence of highlighted marks in scatterplots: First, using\nluminance as a single highlight channel, we found that visual prominence is mainly determined by the luminance difference between\nthe focus mark and the brightest context mark. The brightness differences between context marks and the overall brightness level\nhave negligible influence. Second, multi-channel highlighting using luminance and blur leads to a good trade-off between highlight\neffectiveness and aesthetics. From the results, we derive a simple highlight model to balance highlighting across multiple visual\nchannels and focus and context marks, respectively.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 160, "image_height": 124, "name": "waldner-2017-vph-.png", "type": "image/png", "size": 20447, "path": "Publication:waldner-2017-vph", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1110, 925, 166 ], "booktitle": "Spring Conference on Computer Graphics 2017", "lecturer": [ 1110 ], "research_areas": [ "InfoVis", "Perception" ], "keywords": [ "information visualization", "highlighting", "focus+context", "visual prominence" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 160, "image_height": 124, "name": "waldner-2017-vph-.png", "type": "image/png", "size": 20447, "path": "Publication:waldner-2017-vph", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "waldner-2017-vph-paper.pdf", "type": "application/pdf", "size": 1851221, "path": "Publication:waldner-2017-vph", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-paper:thumb{{size}}.png" }, { "description": "Details about experiment design and results. ", "filetitle": "supplemental material", "main_file": false, "use_in_gallery": false, "access": "public", "name": "waldner-2017-vph-supplemental material.pdf", "type": "application/pdf", "size": 1396255, "path": "Publication:waldner-2017-vph", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-supplemental material.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-supplemental material:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/", "__class": "Publication" }, { "id": "seyfert-2017", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Dynamic word clouds", "date": "2017-05", "abstract": "Using word clouds to visualize dynamic time-varying data is a field still under-explored. The goal of our approach is to provide a novel way of generating smoothly animated word clouds to show changes in word frequency via font size. Unlike existing methods, a compact layout, inspired by the popular word cloud generation tool Wordle, is preserved during animation and implemented using web technologies.Word size changes in time are also illustrated via color and word rotation. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 642, "image_height": 297, "name": "seyfert-2017-image.bmp", "type": "image/bmp", "size": 572670, "path": "Publication:seyfert-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 1400 ], "booktitle": "Proceedings of SCCG 2017", "date_from": "2017-05-15", "date_to": "2017-05-17", "doi": "10.1145/3154353.3154358", "editor": "ACM", "event": "SCCG 2017", "isbn": "978-1-4503-5107-2", "lecturer": [ 1400 ], "location": "Mikulov", "research_areas": [ "IllVis" ], "keywords": [ " tag cloud, animated, dynamic, time-varying, word cloud " ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 642, "image_height": 297, "name": "seyfert-2017-image.bmp", "type": "image/bmp", "size": 572670, "path": "Publication:seyfert-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "seyfert-2017-paper.pdf", "type": "application/pdf", "size": 2618363, "path": "Publication:seyfert-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/", "__class": "Publication" }, { "id": "sorger_2017_metamorphers", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Metamorphers: Storytelling Templates For Illustrative Animated Transitions in Molecular Visualization", "date": "2017-05", "abstract": "In molecular biology, illustrative animations are used to convey complex biological phenomena to broad audiences. However, such animations have to be manually authored in 3D modeling software, a time consuming task that has to be repeated from scratch for every new data set, and requires a high level of expertise in illustration, animation, and biology. We therefore propose metamorphers: a set of operations for defining animation states as well as the transitions to them in the form of re-usable story telling templates. The re-usability is two-fold. Firstly, due to their modular nature, metamorphers can be re-used in different combinations to create a wide range of animations. Secondly, due to their abstract nature, metamorphers can be re-used to re-create an intended animation for a wide range of compatible data sets. Metamorphers thereby mask the low level complexity of explicit animation specifications by exploiting the inherent properties of the molecular data, such as the position, size, and hierarchy level of a semantic data subset.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 6011, "image_height": 1167, "name": "sorger_2017_metamorphers-teaser.png", "type": "image/png", "size": 2870066, "path": "Publication:sorger_2017_metamorphers", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1072, 935, 488, 166, 1379, 171 ], "booktitle": "Proceedings of the Spring Conference on Computer Graphics 2017", "date_from": "2017-05-15", "date_to": "2017-05-17", "location": "Mikulov, Czech Republic", "pages_from": "27", "pages_to": "36", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "animated transitions", "storytelling", "molecular visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sorger_2017_metamorphers-paper.pdf", "type": "application/pdf", "size": 10648080, "path": "Publication:sorger_2017_metamorphers", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 6011, "image_height": 1167, "name": "sorger_2017_metamorphers-teaser.png", "type": "image/png", "size": 2870066, "path": "Publication:sorger_2017_metamorphers", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sorger_2017_metamorphers-video.mp4", "type": "video/mp4", "size": 99597057, "path": "Publication:sorger_2017_metamorphers", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/", "__class": "Publication" }, { "id": "Balduz_01", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Walk line drawing", "date": "2017-04-25", "abstract": "In the recent years, consequence of technology improvements, a new kind of art has appeared. It is called GPS art and consists in drawing on a digital map by recording the path followed using a GPS device. The fact is that not everyone is able to make the drawing of a certain figure. Just the so-called GPS artists come up with the path, so it makes this kind of art not reachable to some people.\nThe idea of this thesis is to enable people to create GPS art without relying on imagination to come up with a path for a certain figure. In order to achieve that, a system that finds that path in a map for a given figure as input has been developed. In order for people to use this system, it has been integrated within a mobile application, so users are able to find the path to follow easily.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 248, "image_height": 249, "name": "Balduz_01-image.JPG", "type": "image/jpeg", "size": 29143, "path": "Publication:Balduz_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/Balduz_01-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/Balduz_01-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1382 ], "date_end": "2017-04-25", "date_start": "2016-10-01", "matrikelnr": "1635296", "supervisor": [ 171 ], "research_areas": [ "IllVis" ], "keywords": [ "GPS art device" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": true, "access": "public", "name": "Balduz_01-Bachelor Thesis.pdf", "type": "application/pdf", "size": 1508429, "path": "Publication:Balduz_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/Balduz_01-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/Balduz_01-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 248, "image_height": 249, "name": "Balduz_01-image.JPG", "type": "image/jpeg", "size": 29143, "path": "Publication:Balduz_01", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/Balduz_01-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/Balduz_01-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/", "__class": "Publication" }, { "id": "Gehrer-2017", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Visualization of molecular machinery using agent-based animation", "date": "2017-04-21", "abstract": "This work proposes an agent-based model for animating molecular machines. Usually\nmolecular machines are visualized using key-frame animation. Creating large molecular assemblies with key-frame animation in standard 3D software can be a tedious task, because hundreds or thousands of molecular particles have to be animated by hand, considering various biological phenomena. To avoid repetitive animation of molecular particles, a prototypic framework is implemented, that employs an agent-based approach. Instead of animating the molecular particles directly, the framework utilizes behavior descriptions for each type of molecular particle. The animation results from the molecular particles interacting with each other as defined by their behavior. Interaction between\nmolecular particles is enabled by an abstract model that is implemented by the framework.\nThe methodology for creating the framework was driven through learning by example.\nThree molecular machines are visualized using the framework. During this process, the framework was iteratively improved, to meet the requirements for each new molecular machine. The resulted animations demonstrate that agent-based animation is a viable option for molecular machines.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 419, "image_height": 303, "name": "Gehrer-2017-image.JPG", "type": "image/jpeg", "size": 33437, "path": "Publication:Gehrer-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/Gehrer-2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/Gehrer-2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1194 ], "date_end": "2017-04-21", "date_start": "2016-06-01", "matrikelnr": "1125229", "supervisor": [ 171 ], "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 419, "image_height": 303, "name": "Gehrer-2017-image.JPG", "type": "image/jpeg", "size": 33437, "path": "Publication:Gehrer-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/Gehrer-2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/Gehrer-2017-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Gehrer-2017-Master thesis.pdf", "type": "application/pdf", "size": 20514839, "path": "Publication:Gehrer-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/Gehrer-2017-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/Gehrer-2017-Master thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/", "__class": "Publication" }, { "id": "Mayr-2017-1", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Automatic Summarization of Image Datasets", "date": "2017-04-20", "abstract": "Since the innovation of the digital camera the number of pictures taken is still increasing. Especially in recent years, when mobile phone manufacturer began to attach digital cameras to their mobile phones, this ended up in a flood of pictures nowadays. The aim of this thesis is, to implement an algorithm that automatically summarizes a given dataset\nof geotagged images and creates a representative image collage. It is strictly based on the visualization pipeline and starts with the data analysis and filtering of the image dataset. Next, the filtered data are mapped using a symmetric version of the Voronoi tessellation, and are finally rendered using optional dissolve blending. We test the implementation on two different image datasets, containing 35 and 154 images, respectively. The results indicate that the implementation generates diverse and appealing image collages for the tested image datasets, but that there are also some extreme cases for example with\nmisleading symmetry caused by the pre-attentive processing of the human visual system.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 4000, "image_height": 4000, "name": "Mayr-2017-1-image.jpg", "type": "image/jpeg", "size": 2622745, "path": "Publication:Mayr-2017-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/Mayr-2017-1-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/Mayr-2017-1-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1284 ], "date_end": "2017-04-20", "date_start": "2016-10-12", "matrikelnr": "1226745", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Mayr-2017-1-Bachelor Thesis.pdf", "type": "application/pdf", "size": 70774852, "path": "Publication:Mayr-2017-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/Mayr-2017-1-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/Mayr-2017-1-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 4000, "image_height": 4000, "name": "Mayr-2017-1-image.jpg", "type": "image/jpeg", "size": 2622745, "path": "Publication:Mayr-2017-1", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/Mayr-2017-1-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/Mayr-2017-1-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/", "__class": "Publication" }, { "id": "Winkler-2017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Collaborative Procedural Modeling driven by User Feedback", "date": "2017-04-19", "abstract": "In this work a user centered procedural modeling framework is proposed which combines rule based content generation with the concepts of recommendation systems. Using the ACGAX modeling language, artists are able to write grammar scripts for the creation of diverse and complex 3D scenes, controlled with a simple goal notation. These scripts are evaluated and executed by the system to generate 3D-shapes using stored production rules from the cloud. The rule selection process is based on content based information filtering systems to create results matching the user’s preferences. User feedback is collected in a way that integrates explicit feedback into the modeling work flow via manual locking operations. These actions allow users to directly control the derivation\nprocess of grammars by fixing certain parts of the derivation tree. The goal of this\nresearch is not only to create a modeling tool, but a growing database of grammars,\nrules and feedback records. By observing how users interact with the grammars, the\nsystem learns which rules are most suitable for certain goals. The proposed system\nis designed to to learn from a user’s actions to improve the cloud based rule selection process for future modeling tasks.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 252, "image_height": 214, "name": "Winkler-2017-image.JPG", "type": "image/jpeg", "size": 14078, "path": "Publication:Winkler-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-2017/Winkler-2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-2017/Winkler-2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1422 ], "date_end": "2017-04-19", "date_start": "2016-10-01", "matrikelnr": "1129264", "supervisor": [ 193, 1303 ], "research_areas": [ "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 252, "image_height": 214, "name": "Winkler-2017-image.JPG", "type": "image/jpeg", "size": 14078, "path": "Publication:Winkler-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-2017/Winkler-2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-2017/Winkler-2017-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Winkler-2017-thesis.pdf", "type": "application/pdf", "size": 474553, "path": "Publication:Winkler-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-2017/Winkler-2017-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-2017/Winkler-2017-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-2017/", "__class": "Publication" }, { "id": "Ganuza", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Visualización y Realidad Aumentada en el Campo de las Ciencias Geológicas", "date": "2017-04", "abstract": "En el campo de las Ciencias Geológicas, un desafío importante consiste en encontrar una representación adecuada de una gran cantidad de datos de distintos tipos, que abarcan análisis de muestras minerales, datos topográficos, proyecciones cartográficas, datos geofísicos, entre otros. La exploración y análisis de estos datos requiere un soporte visual adecuado. Por otra parte, es importante la asistencia de dispositivos móviles al momento de adquirir estos datos en el trabajo de campo. En esta línea de investigación se está trabajando en el diseño y la generación de visualizaciones y de sistemas que las soporten con el objetivo de asistir al geólogo en varias de sus tareas habituales. Por un lado, una sub-línea se refiere a la visualización de datos geológicos que provean un soporte adecuado para la exploración eficiente de distintos conjuntos de datos de micro-química. Por otro, se trabaja en incorporar visualizaciones que asistan al geólogo en la obtención de datos geológicos en el trabajo de campo; esto se lleva a cabo mediante el uso de tecnología de Realidad Aumentada y el uso de dispositivos móviles.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 446, "image_height": 236, "name": "Ganuza-image.JPG", "type": "image/jpeg", "size": 21870, "path": "Publication:Ganuza", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1228, 1536, 1537, 408, 1232, 1233, 1229, 235, 166 ], "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://sedici.unlp.edu.ar/handle/10915/61871", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 446, "image_height": 236, "name": "Ganuza-image.JPG", "type": "image/jpeg", "size": 21870, "path": "Publication:Ganuza", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Ganuza-paper.pdf", "type": "application/pdf", "size": 993131, "path": "Publication:Ganuza", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/", "__class": "Publication" }, { "id": "mindek-2017-virtualcell", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "The Birth of a Virtual Cell", "date": "2017-04", "abstract": "In our current research project, we are working on the interactive visualization of cellular data at multiple scales. The visual story telling contest motivated us to describe the process of bringing this complex volumetric data \"to life\". We scripted the visual story directly within the current build of our multi-scale visualization. The entire video is therefore rendered in real time. This enabled us to directly show the steps involved in the rendering of our final visualization based on the actual data and the actual algorithms that are applied. The various effects in the video are therefore parameter variables for existing multi-scale visualization functions that change over time. The final result of our visualization was inspired by a rendering of the reference 3D model that was created by a scientific illustrator. The challenge that we overcome in our visualization was to create a rendering of the original data at stable 30 frames per second that matches the offline rendered illustration in visual quality, which helps to clarify the complex 3D arrangements of the inner components of the cell.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 960, "image_height": 540, "name": "mindek-2017-virtualcell-teaser.png", "type": "image/png", "size": 332614, "path": "Publication:mindek-2017-virtualcell", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-virtualcell/mindek-2017-virtualcell-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-virtualcell/mindek-2017-virtualcell-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935, 1072, 1383, 1285, 1379, 171 ], "note": "submitted to the Pacific Vis 2017 Storytelling Contest", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [ { "href": "https://vimeo.com/220376839", "caption": "the video", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 960, "image_height": 540, "name": "mindek-2017-virtualcell-teaser.png", "type": "image/png", "size": 332614, "path": "Publication:mindek-2017-virtualcell", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-virtualcell/mindek-2017-virtualcell-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-virtualcell/mindek-2017-virtualcell-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-virtualcell/", "__class": "Publication" }, { "id": "miao_inria_2017", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visualization and Modeling in DNA Nanotechnology", "date": "2017-04", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1953, "image_height": 1093, "name": "miao_inria_2017-.png", "type": "image/png", "size": 981598, "path": "Publication:miao_inria_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_inria_2017/miao_inria_2017-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_inria_2017/miao_inria_2017-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263 ], "event": "Inria", "location": "Inria, Grenoble, France", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1953, "image_height": 1093, "name": "miao_inria_2017-.png", "type": "image/png", "size": 981598, "path": "Publication:miao_inria_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_inria_2017/miao_inria_2017-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_inria_2017/miao_inria_2017-:thumb{{size}}.png" } ], "projects_workgroups": [ "Illustrare" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_inria_2017/", "__class": "Publication" }, { "id": "rraidou_EG17", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visual Analytics for Digital Radiotherapy: Towards a Comprehensible Pipeline", "date": "2017-04", "abstract": "Prostate cancer is one of the most frequently occurring types of cancer in males. It is often treated with radiation therapy,which aims at irradiating tumors with a high dose, while sparing the surrounding healthy tissues. In the course of the years,radiotherapy technology has undergone great advancements. However, tumors are not only different from each other, theyare also highly heterogeneous within, consisting of regions with distinct tissue characteristics, which should be treated withdifferent radiation doses. Tailoring radiotherapy planning to the specific needs and intra-tumor tissue characteristics of eachpatient is expected to lead to more effective treatment strategies. Currently, clinical research is moving towards this direction,but an understanding of the specific tumor characteristics of each patient, and the integration of all available knowledge into apersonalizable radiotherapy planning pipeline are still required. The present work describes solutions from the field of VisualAnalytics, which aim at incorporating the information from the distinct steps of the personalizable radiotherapy planningpipeline, along with eventual sources of uncertainty, into comprehensible visualizations. All proposed solutions are meantto increase the – up to now, limited – understanding and exploratory capabilities of clinical researchers. These approachescontribute towards the interactive exploration, visual analysis and understanding of the involved data and processes at differentsteps of the radiotherapy planning pipeline, creating a fertile ground for future research in radiotherapy planning.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image2", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 273, "image_height": 142, "name": "rraidou_EG17-image2.JPG", "type": "image/jpeg", "size": 16034, "path": "Publication:rraidou_EG17", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-image2.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-image2:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410, 679, 459 ], "booktitle": "Computer Graphics Forum (Proceedings of Eurographics)", "journal": "Computer Graphics Forum (Proceedings of Eurographics)", "lecturer": [ 161, 951 ], "volume": "36", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image2", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 273, "image_height": 142, "name": "rraidou_EG17-image2.JPG", "type": "image/jpeg", "size": 16034, "path": "Publication:rraidou_EG17", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-image2.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-image2:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 198, "preview_image_height": 35, "name": "rraidou_EG17-Paper.pdf", "type": "application/pdf", "size": 171052, "path": "Publication:rraidou_EG17", "preview_name": "rraidou_EG17-Paper:preview.png", "preview_type": "image/png", "preview_size": 11846, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "rraidou_EG17-Video.mp4", "type": "video/mp4", "size": 291963837, "path": "Publication:rraidou_EG17", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-Video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/", "__class": "Publication" }, { "id": "rraidou_phdbook", "type_id": "book", "tu_id": null, "repositum_id": null, "title": "Visual Analytics for Digital Radiotherapy: Towards a Comprehensible Pipeline.", "date": "2017-03-29", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "rraidou_phdbook-.pdf", "type": "application/pdf", "size": 22111641, "path": "Publication:rraidou_phdbook", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_phdbook/rraidou_phdbook-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_phdbook/rraidou_phdbook-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410 ], "isbn": "ISBN987-90-386-4230-7", "open_access": "yes", "pages": "1-240", "publisher": "TU Eindhoven", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [ { "href": "http://repository.tue.nl/858251", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "rraidou_phdbook-.pdf", "type": "application/pdf", "size": 22111641, "path": "Publication:rraidou_phdbook", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_phdbook/rraidou_phdbook-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_phdbook/rraidou_phdbook-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_phdbook/", "__class": "Publication" }, { "id": "Mitterhofer_2017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Modeling Microorganisms", "date": "2017-03-23", "abstract": "Modeling of microorganisms is a cumbersome task, when biologists want to create a\nvisual representation of a certain microorganism. To correctly model structures on atomic resolution, each molecule (for example proteins and lipids) has to be placed at its correct position. For microorganisms of larger dimensions the modeling process takes a very long time, at this point an improved modeling approach is required. It would be possible to create a rule-based modeling approach, but usually rules restrict the final outcome and\nproduces repeating patterns. Therefore a tool that places molecules based on statistical evaluations and foresight was the main idea behind this project. The tool should allow for modeling complex organisms on molecular resolution by placing a minimal amount of examples and generalizing similar entities. A decision tree as learning structure evaluates the user’s actions, learns from them and reorganizes the whole structure. With this approach the user should be able to model complex cellular structures in as few steps as\npossible, also more complex actions, such as orientation towards a certain reference point, clusters, varying distribution united a real-time editor should improve the modeling task significantly.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 280, "image_height": 189, "name": "Mitterhofer_2017-image.JPG", "type": "image/jpeg", "size": 30988, "path": "Publication:Mitterhofer_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/Mitterhofer_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/Mitterhofer_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1386 ], "date_end": "2017-03-23", "date_start": "2016-10-12", "matrikelnr": "1226847", "supervisor": [ 171 ], "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Mitterhofer_2017-Bachelor Thesis.pdf", "type": "application/pdf", "size": 20946273, "path": "Publication:Mitterhofer_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/Mitterhofer_2017-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/Mitterhofer_2017-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 280, "image_height": 189, "name": "Mitterhofer_2017-image.JPG", "type": "image/jpeg", "size": 30988, "path": "Publication:Mitterhofer_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/Mitterhofer_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/Mitterhofer_2017-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/", "__class": "Publication" }, { "id": "reinwald-2017-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Fast kNN in Screen Space on GPU", "date": "2017-03-20", "abstract": "A common problem in computer science is to construct a spatial data structure (octree, kd-tree) and use it to search for k-nearest neighbors (kNN). In surface reconstruction from dynamic points (real-time), both construction and search time are critical. As points on a surface are a sparse distribution in 3D, this can be exploited by mapping them into screen space (2D), as shown in \"Auto-splats\" (Preiner 2012). Our approach is to also exploit spatial coherence in screen space to find kNN for points. The performance is maximized by a CUDA implementation designed to minimize memory-boundness. An preliminary implementation exists which constructs a packed quadtree and reads kNN from a quadtree node density estimate. A few improvements have to be made to optimize performance and to analyze results.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 637, "image_height": 602, "name": "reinwald-2017-baa-image.png", "type": "image/png", "size": 398232, "path": "Publication:reinwald-2017-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/reinwald-2017-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/reinwald-2017-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1420 ], "date_end": "2019-03-12", "date_start": "2017-03-21", "matrikelnr": "1126981", "note": "1", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "k-nearest neighbors", "surface reconstruction", "parallel optimization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 637, "image_height": 602, "name": "reinwald-2017-baa-image.png", "type": "image/png", "size": 398232, "path": "Publication:reinwald-2017-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/reinwald-2017-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/reinwald-2017-baa-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "reinwald-2017-baa-thesis.pdf", "type": "application/pdf", "size": 2988235, "path": "Publication:reinwald-2017-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/reinwald-2017-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/reinwald-2017-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/", "__class": "Publication" }, { "id": "Gall_2017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Comparison of Vessel Segmentation Techniques", "date": "2017-03", "abstract": "Image segmentation is an important processing step in various applications and crucial in the medical field. When a new segmentation technique is introduced, validation and evaluation are essential for medical image analysis. But the automation of these processes is still not sufficient. Many algorithms have been published but there is still no satisfying way to assess whether an algorithm produces more accurate segmentations than another. More effort is spent on the development of algorithms than on their evaluation and therefore many researchers use the less complex subjective methods. For these techniques multiple experts are needed to visually compare several segmentation results, which is a very time-consuming process. Another way of comparing different results is the supervised evaluation method. Here we need experts, who manually segment reference images, which are used for comparison. As seen in recent researches there is a need for unsupervised methods due to many applications, in which user assistance is\ninfeasible. The aim of this thesis is to provide an environment to visually and objectively evaluate segmentation results in the field of vessel segmentations. Our framework enables the comparison at voxel-level with various visualization techniques and objective measurements. These methods are meant to make the comparison more understandable for users. A subjective evaluation is realized through a comparative visualization by using a two- and three-dimensional comparison of voxels. Another general overview is provided by a maximum-intensity projection, which highlights the vessel structure. As purely\nobjective evaluation technique, various metrics are used, to assure independence from experts or a ground truth. By using these techniques this paper presents an approach for evaluating differences in medical images, which does not rely on a permanent presence of an expert.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 273, "image_height": 208, "name": "Gall_2017-image.JPG", "type": "image/jpeg", "size": 14192, "path": "Publication:Gall_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/Gall_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/Gall_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1355 ], "date_end": "2017-03-08", "date_start": "2016-10-01", "matrikelnr": "1225540", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Gall_2017-Bachelor Thesis.pdf", "type": "application/pdf", "size": 13262337, "path": "Publication:Gall_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/Gall_2017-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/Gall_2017-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 273, "image_height": 208, "name": "Gall_2017-image.JPG", "type": "image/jpeg", "size": 14192, "path": "Publication:Gall_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/Gall_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/Gall_2017-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/", "__class": "Publication" }, { "id": "Heim-2017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Semiautomated Editing of Vessel Segmentation Masks", "date": "2017-03", "abstract": "This thesis describes a technique for editing segmentation results of vessels, which should enhance usage and reduce work duration for physicians by using a simple and fast way of interaction. Moreover also a quick calculation of an accurate result was of primary interest. Since vascular structures are vulnerable to diseases, vessels are the main focus of this thesis. Nowadays, Image Analysis is able to facilitate the medical diagnosis procedure.\nSince stroke treatment is time-crucial, appropriate algorithms should be fast and enable an accurate depiction of the arteries to simplify the diagnostic process. However, because automatic segmentation is often quite inaccurate and manual segmentation is tedious, neither of these two methods alone is often adequate for usage. Because of this we suggest to combine the fast automatic segmentation and the exact manual editing done by clinical experts. To reduce effort and working time of the medical staff, this thesis describes different techniques, which were developed to modify and, more importantly, to improve\nthe segmentation results. The segmentation mask can be altered as its components can be separately removed and independent elements can be connected. A framework was implemented, with which a user is able to perform these tasks interactively. The deletion process is supported by various metrics, which enable the search and removal of similar structures. Also this framework assists the reconnection of vessels by finding the most likely connection by the means of image intensities and their gradients. The main goal of this thesis was to facilitate and accelerate the editing process by implementing fast semi-automatic algorithms. Intuitive interaction methods also had a major impact on the design.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 463, "image_height": 400, "name": "Heim-2017-image.JPG", "type": "image/jpeg", "size": 41540, "path": "Publication:Heim-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/Heim-2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/Heim-2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1354 ], "date_end": "2017-03-08", "date_start": "2016-10-01", "matrikelnr": "1226809", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Heim-2017-Bachelor Thesis.pdf", "type": "application/pdf", "size": 6896211, "path": "Publication:Heim-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/Heim-2017-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/Heim-2017-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 463, "image_height": 400, "name": "Heim-2017-image.JPG", "type": "image/jpeg", "size": 41540, "path": "Publication:Heim-2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/Heim-2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/Heim-2017-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/", "__class": "Publication" }, { "id": "Wagner_032017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "3D-Printing of Fetal Ultrasound", "date": "2017-03", "abstract": "3D printing has been used industrially for decades. It enables rapid prototyping while\nmaintaining low costs. Personal 3D printing became popular approximately since 2011.\nSince the massive arise of public interest, 3D printers are getting more and more affordable.\nIn this thesis, we show how fetal 3D ultrasound data can be processed to enable 3D printing. Major steps are classification of the tissues, extraction of the isosurface and mesh-smoothing. Our approach uses thresholding, in combination with Connected Component Analysis, to separate the mother tissues from the fetal tissues. From the labeled data, we extract the fetal surface using Marching Tetrahedra. The mesh is then smoothed and converted into a data format suitable for 3D printing. Depending on the quality of the given ultrasound data, we can generate a model with recognizable facial features and peripheral structures.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 220, "image_height": 290, "name": "Wagner_032017-image.JPG", "type": "image/jpeg", "size": 16866, "path": "Publication:Wagner_032017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/Wagner_032017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/Wagner_032017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1350 ], "date_end": "2017-03-17", "date_start": "2016-10-01", "matrikelnr": "1326108", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Wagner_032017-Bachelor Thesis.pdf", "type": "application/pdf", "size": 5193004, "path": "Publication:Wagner_032017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/Wagner_032017-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/Wagner_032017-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 220, "image_height": 290, "name": "Wagner_032017-image.JPG", "type": "image/jpeg", "size": 16866, "path": "Publication:Wagner_032017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/Wagner_032017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/Wagner_032017-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/", "__class": "Publication" }, { "id": "Walch-2017-DA", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Lens Flare Prediction based on Measurements with Real-Time Visualization", "date": "2017-03", "abstract": "Lens flare is a visual phenomenon caused by interreflection of light within a lens system.\nThis effect is often undesired, but it gives rendered images a realistic appearance. In the\narea of computer graphics, several simulation based approaches have been presented to\nrender lens flare for a given spherical lens system. An accurate model of the lens system\nand all its components is crucial for a physically reliable result. Since the effect differs\nfrom camera to camera, these methods are not flexible, and the internal parameters –\nespecially the anti-reflection coatings – can only be approximated.\nIn this thesis we present a novel workflow for generating physically plausible renderings\nof lens flare phenomena by analyzing the lens flares captured on a camera. Furthermore,\nour method allows to predict the occurrence of lens flares for a given light setup. This\nis an often requested feature in light planning applications in order to efficiently avoid\nlens flare prone light positioning. A model with a tight parameter set and a GPU-based\nrendering method allows our method to be used in real-time applications.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 902, "image_height": 602, "name": "Walch-2017-DA-.png", "type": "image/png", "size": 122007, "path": "Publication:Walch-2017-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1494 ], "date_end": "2017", "date_start": "2016", "matrikelnr": "0926780", "supervisor": [ 190 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 902, "image_height": 602, "name": "Walch-2017-DA-.png", "type": "image/png", "size": 122007, "path": "Publication:Walch-2017-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Walch-2017-DA-poster.pdf", "type": "application/pdf", "size": 556129, "path": "Publication:Walch-2017-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Walch-2017-DA-thesis.pdf", "type": "application/pdf", "size": 2171946, "path": "Publication:Walch-2017-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/", "__class": "Publication" }, { "id": "Wihann_2017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Statistical Modelling of Microorganisms", "date": "2017-02-28", "abstract": "Models of a biological organism can support scientists in various fields, such as medicine, pharmacy or biology. When precise macromolecular composition of an organism is to be captured by the model, tens of thousands of protein macromolecules have to be positioned in order to create the model. This process is complicated and time consuming.\nIn this thesis we propose an approach based on statistical modeling of microorganisms,\nwhich enables the creation of such scenes with minimal effort. The modeling is based on decision trees and probability calculations. The basic principle is to start with a random distribution. Then subsequently adjustments from the user on one or several objects, such as molecules, are gathered. These serve as examples to change the orientation and location of all other objects in the scene. The approach is realized in a tool implemented in Unity3D.\n ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 225, "image_height": 225, "name": "Wihann_2017-image.JPG", "type": "image/jpeg", "size": 23248, "path": "Publication:Wihann_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/Wihann_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/Wihann_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1385 ], "date_end": "2017-02", "date_start": "2016-10", "matrikelnr": "1107772", "supervisor": [ 171 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Wihann_2017-Bachelor Thesis.pdf", "type": "application/pdf", "size": 920818, "path": "Publication:Wihann_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/Wihann_2017-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/Wihann_2017-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 225, "image_height": 225, "name": "Wihann_2017-image.JPG", "type": "image/jpeg", "size": 23248, "path": "Publication:Wihann_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/Wihann_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/Wihann_2017-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/", "__class": "Publication" }, { "id": "amirkhanov-2017-cffet", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Comparison of Final Fracture Extraction Techniques for Interrupted In situ Tensile Tests of Glass Fiber Reinforced Polymers", "date": "2017-02", "abstract": "To develop and optimize of advanced composite materials such as glass fiber reinforced polymers (GFRPs) for a specific application area is an important topic. To inspect mechanical properties of GFRPs, material engineers use interrupted in situ tensile tests. During these tests, a test specimen is scanned multiple times in an industrial computed tomography (CT) scanner under various loads, starting from no load until the final fracture of the specimen. In this work we focus on the final step of the interrupted in situ tensile test, which is scanned when the specimen is completely losing its structural integrity in the final fracture zone. The defects occurring in the subsequent loading stages merge and ultimately form the final fracture. For this reason, conventional techniques tend to generate error prone final fracture regions or surfaces and thus require more advanced algorithms for extraction. The main contribution of this paper is found in the comparison of different techniques for extracting the final fracture. In the comparison we outline advantages and drawbacks of the presented techniques relative to each other.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1170, 790, 571, 611, 166 ], "booktitle": "Proceedings of 7th Conference on Industrial Computed Tomography , Leuven , Belgium (iCT 2017) ", "lecturer": [ 1170 ], "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://www.ndt.net/?id=20873", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "amirkhanov-2017-cffet-paper.pdf", "type": "application/pdf", "size": 723780, "path": "Publication:amirkhanov-2017-cffet", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/amirkhanov-2017-cffet/amirkhanov-2017-cffet-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/amirkhanov-2017-cffet/amirkhanov-2017-cffet-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/amirkhanov-2017-cffet/", "__class": "Publication" }, { "id": "rao-2017-dc", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Damage characterization in SFRP using X-ray computed tomography after application of incremental and interrupted in situ quasi static tensile loading", "date": "2017-02", "abstract": "The use of short fibre reinforced polymers (SFRP) is increasing steadily in automotive and aerospace industries due to its mechanical properties and light weight. The mechanical and physical properties of SFRP depend on the geometrical characterestics of the reinforcing material. Under tensile stress many defects are induced in SFRP composites. X-ray computed tomography (XCT) is a non-destructive method for damage characterization of SFRP. It helps us to understand the material behaviour under different intermediate stress conditions and gauge the strength of the material. This paper aims to study the evolution of various damages in SFRP composite material. The composite consists of a polyamide matrix and 30 wt. % of short glass fibres. Sheets with two types of fibre orientation (0° and 90°) were chosen relative to the flow direction. The damages were induced after application of pre-determined tensile loads in a quasi-static method using an in situ tensile testing device.The tensile force was applied using controlled displacement inside the in situ device. Damages were analysed after every step of force application using XCT at the resolution of 4.5 µm3 voxel size. The workflow based on automatic fibre extraction followed by automated defect detection and classification was used to retrieve quantitative results of the damage evolution. The detected defects were analysed and classified into four types: 1) fibre pull-outs, 2) fibre fractures, 3) matrix fractures and 4) fibre/matrix debonding. The increase in tensile force shows changes in the number and volume of the defects. The classification of defects at every step after applying force helps to understand evolution of damage mechanisms in the stressed region.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1421, 1170, 790, 571, 611 ], "booktitle": "Proceedings of 7th Conference on Industrial Computed Tomography , Leuven , Belgium (iCT 2017)", "lecturer": [ 1421 ], "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://www.ndt.net/?id=20838", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "rao-2017-dc-paper.pdf", "type": "application/pdf", "size": 1132321, "path": "Publication:rao-2017-dc", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rao-2017-dc/rao-2017-dc-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rao-2017-dc/rao-2017-dc-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rao-2017-dc/", "__class": "Publication" }, { "id": "SCHWAERZLER-2017-SBGM", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Sketch-based Guided Modeling of 3D Buildings from Oriented Photos", "date": "2017-02", "abstract": "Capturing urban scenes using photogrammetric methods has become an interesting alternative to laser scanning in the past years. For the reconstruction of CAD-ready 3D models, two main types of interactive approaches have become prevalent: One uses the generated 3D point clouds to reconstruct polygonal surfaces, while the other focuses on 2D interaction in the photos to define edges and faces.\n\nWe propose a novel interactive system that combines and enhances these approaches in order to optimize current reconstruction and modeling workflows. Our main interaction target are the photos, allowing simple 2D interactions and edge-based snapping. We use the underlying segmented point cloud to define the 3D context in which the sketched polygons are projected whenever possible. An intuitive visual guiding interface gives the user feedback on the accuracy to expect with the current state of modeling to keep the necessary interactions at a minimum level.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 497, "name": "SCHWAERZLER-2017-SBGM-teaser.png", "type": "image/png", "size": 337632, "path": "Publication:SCHWAERZLER-2017-SBGM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 678, 1466, 228, 193 ], "booktitle": "Proceedings of the 21st ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games", "date_from": "2017-02-25", "date_to": "2017-02-27", "event": "I3D 2017", "isbn": "978-1-4503-4886-7", "lecturer": [ 1466 ], "location": "San Francisco, CA", "pages_from": "9:1", "pages_to": "9:8", "publisher": "ACM", "research_areas": [ "Modeling" ], "keywords": [ "3D modeling", "guidance", "photogrammetry" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "SCHWAERZLER-2017-SBGM-draft.pdf", "type": "application/pdf", "size": 36126759, "path": "Publication:SCHWAERZLER-2017-SBGM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 497, "name": "SCHWAERZLER-2017-SBGM-teaser.png", "type": "image/png", "size": 337632, "path": "Publication:SCHWAERZLER-2017-SBGM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis", "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/", "__class": "Publication" }, { "id": "JAHRMANN-2017-RRTG", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Responsive Real-Time Grass Rendering for General 3D Scenes", "date": "2017-02", "abstract": "Grass plays an important role in most natural environments. Most interactive applications use image-based techniques to approximate fields of grass due to the high geometrical complexity, leading to visual artifacts. In this paper, we propose a grass-rendering technique that is capable of drawing each blade of grass as geometrical object in real time. Accurate culling methods together with an adaptable rendering pipeline ensure that only the blades of grass that are important for the visual appearance of the field of grass are rendered. In addition, we introduce a physical model that is evaluated for each blade of grass. This enables that a blade of grass can react to its environment by calculating the influence of gravity, wind and collisions. A major advantage of our approach is that it can render fields of grass of arbitrary shape and spatial alignment. Thus, in contrast to previous work, the blades of grass can be placed on any 3D model, which is not required to be a flat surface or a height map.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 251, "name": "JAHRMANN-2017-RRTG-teaser.jpg", "type": "image/jpeg", "size": 97586, "path": "Publication:JAHRMANN-2017-RRTG", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/JAHRMANN-2017-RRTG-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/JAHRMANN-2017-RRTG-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1009, 193 ], "booktitle": "Proceedings of the 21st ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games", "date_from": "2017-02-25", "date_to": "2017-02-27", "event": "I3D 2017", "isbn": "978-1-4503-4886-7", "lecturer": [ 1009 ], "location": "San Francisco, CA", "pages_from": "6:1", "pages_to": "6:10", "publisher": "ACM", "research_areas": [ "Rendering" ], "keywords": [ "real-time rendering", "grass rendering", "hardware tessellation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "JAHRMANN-2017-RRTG-draft.pdf", "type": "application/pdf", "size": 10999422, "path": "Publication:JAHRMANN-2017-RRTG", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/JAHRMANN-2017-RRTG-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/JAHRMANN-2017-RRTG-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 251, "name": "JAHRMANN-2017-RRTG-teaser.jpg", "type": "image/jpeg", "size": 97586, "path": "Publication:JAHRMANN-2017-RRTG", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/JAHRMANN-2017-RRTG-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/JAHRMANN-2017-RRTG-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/", "__class": "Publication" }, { "id": "Eckelt_2017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Vascular Printing - 3D Printing of Aortic Dissections", "date": "2017-01-31", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 361, "image_height": 280, "name": "Eckelt_2017-image.JPG", "type": "image/jpeg", "size": 19302, "path": "Publication:Eckelt_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1401 ], "date_end": "2017-01-31", "date_start": "2016-06-01", "matrikelnr": "1127705", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Eckelt_2017-Bachelor Thesis.pdf", "type": "application/pdf", "size": 14653176, "path": "Publication:Eckelt_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 361, "image_height": 280, "name": "Eckelt_2017-image.JPG", "type": "image/jpeg", "size": 19302, "path": "Publication:Eckelt_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-image:thumb{{size}}.png" } ], "projects_workgroups": [ "AngioVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/", "__class": "Publication" }, { "id": "Groeller-2017-IVAMCS", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Interactive Visual Analysis in the Material and Computational Sciences", "date": "2017-01-10", "abstract": "Visualization and visual computing use computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity concerning volume, veracity, velocity, and variety has increased considerably. This is due to new data sources as well as the availability of uncertainty, error and tolerance information. Instead of individual objects entire sets, collections, and ensembles are visually investigated. There is a need for visual analyses, comparative visualization, quantitative visualizations, and scalable visualizations. The simultaneous exploration and visualization of spatial and abstract information is an important case in point. Several examples from the material and computational sciences will be discussed in detail. Given the amplified data variability, interactive visual data analyses are likely to gain in importance in the future. Research challenges and directions are sketched at the end of the talk.\n", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2017-01-10", "date_to": "2017-01-10", "event": "Workshop on Visual analysis of dynamic processes", "lecturer": [ 166 ], "location": "Rigi Kulm, Switzerland", "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://indico.psi.ch/conferenceDisplay.py?ovw=True&confId=4840", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Groeller-2017-IVAMCS/", "__class": "Publication" }, { "id": "Kolesar-Fractional-2016", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "A Fractional Cartesian Composition Model for Semi-Spatial ComparativeVisualization Design", "date": "2017-01", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1192, 161, 171, 176 ], "date_from": "2016-10-23", "date_to": "2016-10-28", "doi": "10.1109/TVCG.2016.2598870", "event": "IEEE VIS 2016", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1192 ], "number": "1", "pages": "851-860", "volume": "23", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kolesar-Fractional-2016/", "__class": "Publication" }, { "id": "kouril-2015-maya2cellview", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Maya2CellVIEW: 3D Package Integrated Tool for Creating Large and Complex Molecular Scenes", "date": "2017-01", "abstract": "Scientific illustrators communicate the cutting edge of research through their illustrations. There are numerous software tools that assist them with this job. Often they use professional modeling and animation 3D programs which are primarily used in games and movies industry. Because of that however these tools are not suitable for scientific illustration out of the box. There have been attempts to address this issue which brought tremendous results. This work focuses on visualization of structures and processes in biology, focusing mostly on the scales of nano- to micrometers. At this scale we often do not gain much by using hyper-realistic rendering style that the professional software aims for. Instead we want to employ more simplified style which helps to communicate the important story without losing much detail or scientific precision. The aim of this thesis is to push abilities of illustrators working on large scale molecular scenes. This is done by connecting two software packages—Maya and cellVIEW—combining the real-time rendering possibilities of cellVIEW and modeling and animation tools of Maya which results in more effective and efficient workflow.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 935, "image_height": 763, "name": "kouril-2015-maya2cellview-teaser.png", "type": "image/png", "size": 602143, "path": "Publication:kouril-2015-maya2cellview", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/kouril-2015-maya2cellview-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/kouril-2015-maya2cellview-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383 ], "date_end": "2017-02-08", "date_start": "2015-10-01", "matrikelnr": "1529693", "supervisor": [ 171 ], "research_areas": [ "BioVis", "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 935, "image_height": 763, "name": "kouril-2015-maya2cellview-teaser.png", "type": "image/png", "size": 602143, "path": "Publication:kouril-2015-maya2cellview", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/kouril-2015-maya2cellview-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/kouril-2015-maya2cellview-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kouril-2015-maya2cellview-thesis.pdf", "type": "application/pdf", "size": 5758830, "path": "Publication:kouril-2015-maya2cellview", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/kouril-2015-maya2cellview-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/kouril-2015-maya2cellview-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/", "__class": "Publication" }, { "id": "Koszticsak-2017-ewt", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Generating Expressive Window Thumbnails through Seam Carving", "date": "2017", "abstract": "Thumbnails are used to display lists of open windows or tabs when switching between\nthem on computers and on mobile devices. These images make it easier to recognize the\nopened applications, and help to find the needed window quicker. Thumbnails however\nonly display a screenshot of the windows, so they get potentially confusing if there are\nmore opened windows or if the same application is opened multiple times. Depending\non the resolution of the display, the screenshot size decreases as the number of opened\nwindows increases. Furthermore, within the same application (like MS Office World)\nthe screenshots are similar in appearance (e.g. : white paper and tool bar), but the\nimportant text is not readable. There are several approaches that filter the important\nareas of the images to enhance the main region. In this bachelor thesis an application is\nimplemented that uses the above methods on screenshots. Screenshots of windows are\nreduced by cropping the irrelevant elements of the margin area using seam carving, i.e.\nby eliminating the non-important pixel paths; and by common down-sampling. As a\nresult the thumbnails show only relevant information, which makes them more expressive\nand easier to fulfill their purpose.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 858, "image_height": 481, "name": "Koszticsak-2017-ewt-.png", "type": "image/png", "size": 397429, "path": "Publication:Koszticsak-2017-ewt", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1351 ], "date_end": "2017-02", "date_start": "2016-06", "duration": "10 months", "matrikelnr": "1325492", "supervisor": [ 1110 ], "research_areas": [ "IllVis", "Perception" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 858, "image_height": 481, "name": "Koszticsak-2017-ewt-.png", "type": "image/png", "size": 397429, "path": "Publication:Koszticsak-2017-ewt", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Koszticsak-2017-ewt-thesis.pdf", "type": "application/pdf", "size": 51784684, "path": "Publication:Koszticsak-2017-ewt", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/", "__class": "Publication" }, { "id": "mazurek-2017-sio", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Stream I/O - An Interactive Visualization of Publication Data", "date": "2017", "abstract": "The publication database of the Institute of Computer Graphics and Algorithms can\ncurrently be queried by a simple UI which returns a list. Stream I/O, the application\nof this thesis, extends the interface to improve it in terms of overview, exploration and\nanalysis support. To cope with these shortcommings a visualization is added to the user\ninterface. As the publication database includes a lot of additional data attributes, a\nselection of attributes is used for the visualization to give further insight. By using the\nStreamgraph [BW08] visualization, the variations over time within attributes like authors,\npublication type and research areas are made visible. The focus of this visualization lies\nin showing individual attribute values while also conveying the sum. This relationship\nis depicted in a timeline, which allows a user to explore the past and current work of\nthe institute as well as to find relationships and trends in the publications. As the\nvisualization uses a timeline encoding, the directed flow from left to right is interpreted\nas the movement through time. It shows the evolution of different attributes, while the\noccurrence of a topic at a specific time is coded with the width of the layer at a specific\npoint. Searching the database is enriched through multiple viewpoints which give the user\ninsight how attributes relate in the underlying data and how the data is changing through\nhis/her manipulation. Selections of colored layers within the graph can represent bigger\ntrends and give insight into the data as a whole. The Stream I/O application invites\nusers to interactively explore the publication database, while simultaneously gaining new\ninsight through the visualization.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1293, "image_height": 562, "name": "mazurek-2017-sio-.png", "type": "image/png", "size": 403642, "path": "Publication:mazurek-2017-sio", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1364 ], "date_end": "2017-03", "date_start": "2016-05", "duration": "4 months", "matrikelnr": "0123456", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1293, "image_height": 562, "name": "mazurek-2017-sio-.png", "type": "image/png", "size": 403642, "path": "Publication:mazurek-2017-sio", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "mazurek-2017-sio-thesis.pdf", "type": "application/pdf", "size": 4004622, "path": "Publication:mazurek-2017-sio", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/", "__class": "Publication" }, { "id": "mazurek-2017-vows", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Visualization of Thesaurus-Based Web Search", "date": "2017", "abstract": "The general functions of current web search engines are well established. A box is\nprovided in which to type the queries and the engine returns a result list which users can\nevaluate. The autocomplete suggestions assist users in defining their problems, however\nthere is a lack of support for an iterative manual refinement of the query. This additional\naid can be beneficial when users not know the exact terms to describe the concept they\nare looking for. Therefore, the goal of this project is to show searchers how a slight\nvariation of the query changes the results. With this information, they then can perform\na targeted refinement of the query to access useful information sources. To achieve this\ngoal, each part of the searcher’s query is varied with a thesaurus that provides synonyms\nfor the individual query terms. While performing the user’s original query in a normal\nfashion, variations of this query are conducted in the background. To provide a concise\nvisual summary of the query results, text mining techniques are performed on all gathered\nresults to retrieve the most important key terms for each query variation. This procedure\nresults in a visual overview of what the searcher’s query finds together with what could\nbe found with a slight variation of the query. Additional queries should make users aware\nthat alternative queries may be more appropriate when their original query is poorly\nformulated. In conjunction with some interaction tools, the goal is to reduce the burden\nof refining search queries and therefore making searching the web less complex.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 814, "image_height": 539, "name": "mazurek-2017-vows-teaser.PNG", "type": "image/png", "size": 405860, "path": "Publication:mazurek-2017-vows", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1364 ], "date_end": "2017-10", "date_start": "2017-08", "matrikelnr": "1126483", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "mazurek-2017-vows-report.pdf", "type": "application/pdf", "size": 540973, "path": "Publication:mazurek-2017-vows", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-report:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 814, "image_height": 539, "name": "mazurek-2017-vows-teaser.PNG", "type": "image/png", "size": 405860, "path": "Publication:mazurek-2017-vows", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/", "__class": "Publication" }, { "id": "miao_stateKeylabTalk_2017", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visualization of Brain Arteries, the Placenta and DNA Nanostructures in the Context of Abstraction", "date": "2017", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1646, "image_height": 929, "name": "miao_stateKeylabTalk_2017-.png", "type": "image/png", "size": 771977, "path": "Publication:miao_stateKeylabTalk_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_stateKeylabTalk_2017/miao_stateKeylabTalk_2017-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_stateKeylabTalk_2017/miao_stateKeylabTalk_2017-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263 ], "event": "State Key Lab - Zhejiang University", "location": "State Key Lab - Zhejiang University", "research_areas": [ "BioVis", "IllVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1646, "image_height": 929, "name": "miao_stateKeylabTalk_2017-.png", "type": "image/png", "size": 771977, "path": "Publication:miao_stateKeylabTalk_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_stateKeylabTalk_2017/miao_stateKeylabTalk_2017-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_stateKeylabTalk_2017/miao_stateKeylabTalk_2017-:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_stateKeylabTalk_2017/", "__class": "Publication" }, { "id": "miao_tvcg_2017", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Placenta Maps: In Utero Placental Health Assessment of the Human Fetus", "date": "2017", "abstract": "null", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1236, "image_height": 1198, "preview_image_width": 1236, "preview_image_height": 1198, "name": "miao_tvcg_2017-image.png", "type": "image/png", "size": 588467, "path": "Publication:miao_tvcg_2017", "preview_name": "miao_tvcg_2017-image:preview.png", "preview_type": "image/png", "preview_size": 588467, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263, 869, 925, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 563, 1432, 166 ], "date_from": "2016-01-01", "date_to": "2017-04-21", "event": "Pacific Vis 2017", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1263 ], "number": "6", "pages_from": "1612", "pages_to": "1623", "protocol": "null", "volume": "23", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1236, "image_height": 1198, "preview_image_width": 1236, "preview_image_height": 1198, "name": "miao_tvcg_2017-image.png", "type": "image/png", "size": 588467, "path": "Publication:miao_tvcg_2017", "preview_name": "miao_tvcg_2017-image:preview.png", "preview_type": "image/png", "preview_size": 588467, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "miao_tvcg_2017-paper.pdf", "type": "application/pdf", "size": 17621975, "path": "Publication:miao_tvcg_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/", "__class": "Publication" }, { "id": "gersthofer_2017_COP", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Clipping and Orthogonal Projection in a Point Cloud Viewer", "date": "2017", "abstract": "Potree is an interactive web-based point cloud renderer. During an\ninternship I was responsible for extending the application by a set of new\nfeatures. That includes a new tool for clipping, an orthographic camera\nmode and some more minor features which are explained in this report.\nThe following report contains information about the changes made to the\nPotree application.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "gersthofer_2017_COP-.pdf", "type": "application/pdf", "size": 4488937, "path": "Publication:gersthofer_2017_COP", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/gersthofer_2017_COP/gersthofer_2017_COP-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/gersthofer_2017_COP/gersthofer_2017_COP-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1292 ], "date_end": "2017", "date_start": "2017", "matrikelnr": "1325669", "supervisor": [ 1116 ], "research_areas": [ "Rendering" ], "keywords": [ "point cloud", "webgl", "potree" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "gersthofer_2017_COP-.pdf", "type": "application/pdf", "size": 4488937, "path": "Publication:gersthofer_2017_COP", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/gersthofer_2017_COP/gersthofer_2017_COP-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/gersthofer_2017_COP/gersthofer_2017_COP-:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/gersthofer_2017_COP/", "__class": "Publication" }, { "id": "ZOTTI-2017-TSP", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "The Skyscape Planetarium", "date": "2017", "abstract": "Communicating scientific topics in state of the art exhibitions frequently involves the creation of impressive visual installations. In the exhibition “STONEHENGE. –A Hidden Landscape.” in the MAMUZ museum for prehistory in Mistelbach, Lower Austria, LBI ArchPro presents recent research results from the Stonehenge Hidden Landscape Project. A central element of the exhibition which extends over two floors connected with open staircases is an assembly of original-sized replica of several stones of the central trilithon horseshoe which is seen from both floors. In the upper floor, visitors are at eye level with the lintels, and on a huge curved projection screen which extends along the long wall of the hall they can experience the view out over the Sarsen circle into the surrounding landscape. This paper describes the planning and creation of this part of the exhibition, and some first impressions after opening.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 4914, "image_height": 2534, "name": "ZOTTI-2017-TSP-image.jpg", "type": "image/jpeg", "size": 3514929, "path": "Publication:ZOTTI-2017-TSP", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/ZOTTI-2017-TSP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/ZOTTI-2017-TSP-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 222, 1093, 193 ], "booktitle": "24th SEAC Conference", "date_from": "2016-09-12", "date_to": "2016-09-16", "event": "24th SEAC Conference", "issn": "1368-6534", "journal": "Culture and Cosmos", "lecturer": [ 222 ], "location": "Bath, UK", "number": "1", "open_access": "no", "pages_from": "269", "pages_to": "281", "volume": "21", "research_areas": [ "Rendering" ], "keywords": [ "stellarium" ], "weblinks": [ { "href": "http://www.cultureandcosmos.org/", "caption": "Journal", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 4914, "image_height": 2534, "name": "ZOTTI-2017-TSP-image.jpg", "type": "image/jpeg", "size": 3514929, "path": "Publication:ZOTTI-2017-TSP", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/ZOTTI-2017-TSP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/ZOTTI-2017-TSP-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ZOTTI-2017-TSP-paper.pdf", "type": "application/pdf", "size": 3211099, "path": "Publication:ZOTTI-2017-TSP", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/ZOTTI-2017-TSP-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/ZOTTI-2017-TSP-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/", "__class": "Publication" }, { "id": "SCHEIBLAUER-2015-WFC", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "Workflow for Creating and Rendering Huge Point Models", "date": "2017", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 614, 826, 193 ], "booktitle": "Fundamentals of Virtual Archaeology: Theory and Practice", "isbn": "9781466594760", "note": "(to appear) 15.06.2017", "publisher": "A K Peters/CRC Press", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHEIBLAUER-2015-WFC/", "__class": "Publication" }, { "id": "SIPPL-2017-POS", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Projecting Openstreetmap Tiles onto 3D-Surfaces", "date": "2017", "abstract": "The algorithm/software should project map-data from a tile-based map-service\nonto 3d Geometry or point clouds. Different levels of detail should be available\nand tiles should be downloaded on the fly, while the program is running.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "SIPPL-2017-POS-.pdf", "type": "application/pdf", "size": 797387, "path": "Publication:SIPPL-2017-POS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIPPL-2017-POS/SIPPL-2017-POS-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIPPL-2017-POS/SIPPL-2017-POS-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1419 ], "date_end": "2017", "date_start": "2017", "matrikelnr": "0820552", "supervisor": [ 1116 ], "research_areas": [ "Rendering" ], "keywords": [ "Open Street Map", "point cloud rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "SIPPL-2017-POS-.pdf", "type": "application/pdf", "size": 797387, "path": "Publication:SIPPL-2017-POS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIPPL-2017-POS/SIPPL-2017-POS-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIPPL-2017-POS/SIPPL-2017-POS-:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIPPL-2017-POS/", "__class": "Publication" }, { "id": "steinboeck-2017-vefp", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Visualization of EU Funding Programmes", "date": "2017", "abstract": "To fund research and technological development, not only in Europe but all over the world, the European Union created so-called Framework Programmes. The data\nof these programmes, containing information about projects, corresponding topics,\nfunding sums, funding periods and recipient countries, is publicly available, but hard\nto analyze without visual support. Therefore, a multiple coordinated view approach is developed in course of this project. The different visualization techniques used, like bar charts, treemap, choropleth map and line graph, make it possible to filter, analyze and further explore the available data through brushing and linking. The project was developed in close collaboration with the end users of the Centre for Social Innovation and received an overall positive feedback from them.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screen shot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1920, "image_height": 945, "name": "steinboeck-2017-vefp-screen shot.png", "type": "image/png", "size": 208713, "path": "Publication:steinboeck-2017-vefp", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-screen shot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-screen shot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1378 ], "date_end": "2017-02", "date_start": "2016-09", "matrikelnr": "0826088", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "screen shot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1920, "image_height": 945, "name": "steinboeck-2017-vefp-screen shot.png", "type": "image/png", "size": 208713, "path": "Publication:steinboeck-2017-vefp", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-screen shot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-screen shot:thumb{{size}}.png" }, { "description": null, "filetitle": "technical report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "steinboeck-2017-vefp-technical report.pdf", "type": "application/pdf", "size": 518813, "path": "Publication:steinboeck-2017-vefp", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-technical report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-technical report:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/", "__class": "Publication" }, { "id": "travnicek-2017-thm", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Tangible Historical Maps: An Approach Towards Customisable 3D Printed Historical Maps", "date": "2017", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 252, "image_height": 163, "preview_image_width": 252, "preview_image_height": 163, "name": "travnicek-2017-thm-image.JPG", "type": "image/jpeg", "size": 14432, "path": "Publication:travnicek-2017-thm", "preview_name": "travnicek-2017-thm-image:preview.JPG", "preview_type": "image/jpeg", "preview_size": 14432, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/travnicek-2017-thm-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/travnicek-2017-thm-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1276 ], "co_supervisor": [ 935 ], "date_end": "2017-01-17", "date_start": "2015", "duration": "7.8.2015 - 31.1.2016", "matrikelnr": "1126286", "supervisor": [ 166, 935 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "travnicek-2017-thm-Bachelor Thesis.pdf", "type": "application/pdf", "size": 8078032, "path": "Publication:travnicek-2017-thm", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/travnicek-2017-thm-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/travnicek-2017-thm-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 252, "image_height": 163, "preview_image_width": 252, "preview_image_height": 163, "name": "travnicek-2017-thm-image.JPG", "type": "image/jpeg", "size": 14432, "path": "Publication:travnicek-2017-thm", "preview_name": "travnicek-2017-thm-image:preview.JPG", "preview_type": "image/jpeg", "preview_size": 14432, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/travnicek-2017-thm-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/travnicek-2017-thm-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/", "__class": "Publication" }, { "id": "vad_viktor-2017-WVE", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Watergate: Visual Exploration of Water Trajectories in Protein Dynamics", "date": "2017", "abstract": "The function of proteins is tightly related to their interactions with other molecules. The study of such interactions often requires to track the molecules that enter or exit specific regions of the proteins. This is investigated with molecular dynamics simulations, producing the trajectories of thousands of water molecules during hundreds of thousands of time steps. To ease the exploration of such rich spatio-temporal data, we propose a novel workflow for the analysis and visualization of large sets of water-molecule trajectories. Our solution consists of a set of visualization techniques, which help biochemists to classify, cluster, and filter the trajectories and to explore the properties and behavior of selected subsets in detail. Initially, we use an interactive histogram and a time-line visualization to give an overview of all water trajectories and select the interesting ones for further investigation. Further, we depict clusters of trajectories in a novel 2D representation illustrating the flows of water molecules. These views are interactively linked with a 3D representation where we show individual paths, including their simplification, as well as extracted statistical information displayed by isosurfaces. The proposed solution has been designed in tight collaboration with experts to support specific tasks in their scientific workflows. They also conducted several case studies to evaluate the usability and effectiveness of our new solution with respect to their research scenarios. These confirmed that our proposed solution helps in analyzing water trajectories and in extracting the essential information out of the large amount of input data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 1474, "preview_image_height": 588, "name": "vad_viktor-2017-WVE-.pdf", "type": "application/pdf", "size": 6012581, "path": "Publication:vad_viktor-2017-WVE", "preview_name": "vad_viktor-2017-WVE-:preview.png", "preview_type": "image/png", "preview_size": 244889, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/vad_viktor-2017-WVE/vad_viktor-2017-WVE-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/vad_viktor-2017-WVE/vad_viktor-2017-WVE-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1195, 1254, 1255, 171, 166, 176, 1498, 1499, 1248 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine 2017", "date_from": "2017", "lecturer": [ 1195 ], "location": "September, 2017 Bremen, Germany", "pages_from": "33", "pages_to": "42", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://diglib.eg.org/handle/10.2312/vcbm20171235", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 1474, "preview_image_height": 588, "name": "vad_viktor-2017-WVE-.pdf", "type": "application/pdf", "size": 6012581, "path": "Publication:vad_viktor-2017-WVE", "preview_name": "vad_viktor-2017-WVE-:preview.png", "preview_type": "image/png", "preview_size": 244889, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/vad_viktor-2017-WVE/vad_viktor-2017-WVE-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/vad_viktor-2017-WVE/vad_viktor-2017-WVE-:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/vad_viktor-2017-WVE/", "__class": "Publication" }, { "id": "mindek-2017-marion", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visualization Multi-Pipeline for Communicating Biology", "date": "2017", "abstract": "We propose a system to facilitate biology communication by developing a pipeline to support the instructional visualization of heterogeneous biological data on heterogeneous user-devices. Discoveries and concepts in biology are typically summarized with illustrations assembled manually from the interpretation and application of heterogenous data. The creation of such illustrations is time consuming, which makes it incompatible with frequent updates to the measured data as new discoveries are made. Illustrations are typically non-interactive, and when an illustration is updated, it still has to reach the user. Our system is designed to overcome these three obstacles. It supports the integration of heterogeneous datasets, reflecting the knowledge that is gained from different data sources in biology. After pre-processing the datasets, the system transforms them into visual representations as inspired by scientific illustrations. As opposed to traditional scientific illustration these representations are generated in real-time - they are interactive. The code generating the visualizations can be embedded in various software environments. To demonstrate this, we implemented both a desktop application and a remote-rendering server in which the pipeline is embedded. The remote-rendering server supports multi-threaded rendering and it is able to handle multiple users simultaneously. This scalability to different hardware environments, including multi-GPU setups, makes our system useful for efficient public dissemination of biological discoveries.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "hidden", "image_width": 838, "image_height": 601, "name": "mindek-2017-marion-.png", "type": "image/png", "size": 395582, "path": "Publication:mindek-2017-marion", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935, 1383, 1072, 1488, 1489, 1379, 166, 171 ], "date_from": "2017-09-29", "date_to": "2017-10-07", "event": "IEEE Vis 2017", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 935 ], "location": "Phoenix, Arizona", "number": "1", "volume": "24", "research_areas": [ "BioVis", "IllVis", "Rendering" ], "keywords": [ "Biological visualization", "remote rendering", "public dissemination" ], "weblinks": [ { "href": "https://vimeo.com/238851516", "caption": "VIS presentation", "description": null, "main_file": 0 } ], "files": { "1": { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2017-marion-Paper.pdf", "type": "application/pdf", "size": 12037780, "path": "Publication:mindek-2017-marion", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Paper:thumb{{size}}.png" }, "2": { "description": null, 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"https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Slides.pptx", "thumb_image_sizes": [] } }, "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/", "__class": "Publication" }, { "id": "Groeller_2016_I6", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Computing and Analysis of Complex Systems", "date": "2016-12-09", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2016-12-09", "event": "Invited Talk, State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China", "location": "State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I6/", "__class": "Publication" }, { "id": "purgathofer_2016I1", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Computing — a best practice from Vienna", "date": "2016-12-08", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2016-12-08", "event": "National Research University – Higher School of Economics (HSE)", "location": "Moskau", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/purgathofer_2016I1/", "__class": "Publication" }, { "id": "Groeller_2016_I5", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Computing and Analysis of Complex Systems", "date": "2016-12-07", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2016-12-07", "event": "Invited talk at SIGGRAPH Asia 2016 Symposium on Visualization, Macao, China", "location": "SIGGRAPH Asia 2016 Symposium on Visualization, Macao, China", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I5/", "__class": "Publication" }, { "id": "Groeller_2016_I8", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Computing for the Analysis of Complex Systems", "date": "2016-12-05", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2016-12-05", "event": "Invited Talk at the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST)", "location": "Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST), Hong Kong", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I8/", "__class": "Publication" }, { "id": "mindek-xmas-card-2016", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2016", "date": "2016-12", "abstract": "As far as we can tell, the Universe is made of atoms. Or pixels. In any case, this Christmas card celebrates both.\n\nThis year's Christmas tree is decorated with a chain of DNA molecules modeled as a spline populated by nucleotides. Several macromolecules of Fibrinogen, Hemoglobin, and Low-Density Lipoprotein are used as decorations as well. All the proteins, as well as the DNA, are modeled down to atomic resolution. The scene is rendered in real-time using cellVIEW - a molecular visualization framework developed at TU Wien and Scripps Research Institute.\n\n***\n\nSoweit wir wissen besteht das Universum aus Atomen. Oder Pixel. Wie auch immer, diese Weihnachtskarte feiert beides.\n\nDer Weihnachtsbaum ist mit einer DNA-Molekülkette geschmückt, modelliert als ein Spline der mit Nukleotiden besetzt ist. Auch mehrere Fibrinogen-, Hämoglobin- und Lipoprotein-Makromoleküle wurden als Dekorationen verwendet. Alle Proteine, als auch die DNA, sind bis auf Atomauflösung modelliert. Die Szene wurde mit cellVIEW in Echtzeit gerendert. cellVIEW ist eine Visualisierungssoftware für Moleküle, die an der TU Wien und dem Scripps Research Institute entwickelt wurde.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Picture", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 3366, "image_height": 2345, "name": "mindek-xmas-card-2016-Picture.png", "type": "image/png", "size": 7197771, "path": "Publication:mindek-xmas-card-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-Picture.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-Picture:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1260, 935 ], "research_areas": [ "BioVis", "IllVis", "Modeling", "Rendering" ], "keywords": [ "Molecular Visualization", "DNA", "Proteins" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Picture", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 3366, "image_height": 2345, "name": "mindek-xmas-card-2016-Picture.png", "type": "image/png", "size": 7197771, "path": "Publication:mindek-xmas-card-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-Picture.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-Picture:thumb{{size}}.png" }, { "description": null, "filetitle": "X-Mas Card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-xmas-card-2016-X-Mas Card.pdf", "type": "application/pdf", "size": 24934677, "path": "Publication:mindek-xmas-card-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-X-Mas Card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-X-Mas Card:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/", "__class": "Publication" }, { "id": "forsythe-2016-ccm", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Resolution-independent superpixels based on convex constrained meshes without small angles", "date": "2016-12", "abstract": "The over-segmentation problem for images is studied in the new resolution-independent formulation when a large image is approximated by a small number of convex polygons with straight edges at subpixel precision. These polygonal superpixels are obtained by refining and extending subpixel edge segments to a full mesh of convex polygons without small angles and with approximation guarantees. Another novelty is the objective error difference between an original pixel-based image and the reconstructed image with a best constant color over each superpixel, which does not need human segmentations. The experiments on images from the Berkeley Segmentation Database show that new meshes are smaller and provide better approximations than the state-of-the-art.", "authors_et_al": false, "substitute": null, "main_image": { "description": "null", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "forsythe-2016-ccm-image.png", "type": "image/png", "size": 401897, "path": "Publication:forsythe-2016-ccm", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1402, 1403, 1404 ], "date_from": "2016-12-12", "date_to": "2016-12-14", "event": "ISVC 2016", "issn": "0302-9743", "journal": "Lecture Notes in Computer Science (LNCS)", "lecturer": [ 1402 ], "location": "Las Vegas", "pages_from": "223", "pages_to": "233", "protocol": "null", "volume": "10072", "research_areas": [ "Geometry" ], "keywords": [ "superpixels", "polygonal mesh", "Delaunay triangulation", "constrained triangulation", "edge detection" ], "weblinks": [], "files": [ { "description": "null", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "forsythe-2016-ccm-image.png", "type": "image/png", "size": 401897, "path": "Publication:forsythe-2016-ccm", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-image:thumb{{size}}.png" }, { "description": "null", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "forsythe-2016-ccm-paper.pdf", "type": "application/pdf", "size": 3354515, "path": "Publication:forsythe-2016-ccm", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "forsythe-2016-ccm-slides.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 6295464, "path": "Publication:forsythe-2016-ccm", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-slides.pptx", "thumb_image_sizes": [] } ], "projects_workgroups": [ "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/", "__class": "Publication" }, { "id": "Mayrhauser-2016-Cnc", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Migration of Surface Curve to Most Concave Isoline", "date": "2016-12", "abstract": "In this paper, I present a solution for migrating a curve on a three dimensional surface to\nthe most concave isoline in its vicinity. Essentially, this problem statement tackles mesh\nsegmentation from a different angle. The search for a suitable segmentation boundary is\nreduced to a shortest path problem.\nFirst, a graph is built using the mesh’s vertices and edges near the input curve. Then,\nthe shortest path is found using the Dijkstra algorithm, whereas a modified weighting\nscheme that makes the passing through of concave edges cheaper, among other factors,\nresults in a path suitable as segmentation boundary.\nThe final algorithm provides segmentation boundaries of a quality similar to existing\nsegmentation algorithms. The runtime generally lies below a second, thus making it\nviable for on the go optimization of the user’s input.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1587, "image_height": 868, "name": "Mayrhauser-2016-Cnc-image.png", "type": "image/png", "size": 372053, "path": "Publication:Mayrhauser-2016-Cnc", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1348 ], "date_end": "2016-12", "date_start": "2016-07", "matrikelnr": "e0926916", "supervisor": [ 193 ], "research_areas": [ "Geometry" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1587, "image_height": 868, "name": "Mayrhauser-2016-Cnc-image.png", "type": "image/png", "size": 372053, "path": "Publication:Mayrhauser-2016-Cnc", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Mayrhauser-2016-Cnc-thesis.pdf", "type": "application/pdf", "size": 9420121, "path": "Publication:Mayrhauser-2016-Cnc", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/", "__class": "Publication" }, { "id": "JAHRMANN-2016-IGR", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Grass Rendering in Real Time Using Modern OpenGL Features", "date": "2016-11-16", "abstract": "Grass species are an important part of vegetation all over the world and can be found in\nall climatic zones. Therefore, grass can be found in almost all outside scenarios. Until\ntoday, there are only few sophisticated algorithms for rendering grass in real time due to\nthe high amount of geometrical complexity. As a result, most algorithms visualize grass\nas a collection of billboards or use other image-based methods, which have problems\ndealing with animation or physical interaction. Another disadvantage of image-based\nmethods is that they often have artifacts when viewed from specific angles, because they\nare just two-dimensional images embedded in three-dimensional space.\nIn this thesis we will introduce a fully geometric approach of grass rendering working\nat interactive framerates. The algorithm is very generic and is able to be adjusted and\nextended in various ways in order to be applicable to most scenarios of rendering grass\nor grass-like vegetation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 944, "image_height": 709, "name": "JAHRMANN-2016-IGR-image.png", "type": "image/png", "size": 1305610, "path": "Publication:JAHRMANN-2016-IGR", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1009 ], "date_end": "2016-11-16", "date_start": "2016-07", "diploma_examina": "2016-11-16", "matrikelnr": "0826080", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 944, "image_height": 709, "name": "JAHRMANN-2016-IGR-image.png", "type": "image/png", "size": 1305610, "path": "Publication:JAHRMANN-2016-IGR", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "JAHRMANN-2016-IGR-poster.pdf", "type": "application/pdf", "size": 3613464, "path": "Publication:JAHRMANN-2016-IGR", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "JAHRMANN-2016-IGR-thesis.pdf", "type": "application/pdf", "size": 13187174, "path": "Publication:JAHRMANN-2016-IGR", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/", "__class": "Publication" }, { "id": "Kozlikova-Visualization-2016b", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Visualization of Biomolecular Structures: State of the Art Revisited", "date": "2016-11", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1248, 1249, 1251, 1250, 1253, 171, 1252, 1143, 1026 ], "doi": "10.1111/cgf.13072", "journal": "Computer Graphics Forum", "number": "XX", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kozlikova-Visualization-2016b/", "__class": "Publication" }, { "id": "aichner-2016-sadf", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Shape-Aware Deformation of 3D Furniture Models", "date": "2016-11", "abstract": "Resizing of 3D models can be very useful when creating new models or when reusing\nold ones. However, naive resizing can create serious visual artifacts which destroy the\ncharacteristics of an object. In this thesis an algorithm that protects the features of\n3D models during resizing is introduced. It is specialized for furniture models because\nit should be applied to a furniture configurator. We observed that the distortion that\noccurs during scaling is not distributed uniformly across the object. Our algorithm\nautomatically detects the vulnerable parts of a model and then stretches only the non-\nvulnerable ones. Furthermore, the algorithm takes into account that when scaling a\nmesh in a specific direction, the texture has to be adapted as well in order to prevent\nrepresentation errors.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 712, "image_height": 244, "name": "aichner-2016-sadf-image.png", "type": "image/png", "size": 73895, "path": "Publication:aichner-2016-sadf", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1291 ], "co_supervisor": [ 193 ], "date_end": "2016-11-21", "date_start": "2015-10", "matrikelnr": "1226600", "supervisor": [ 844 ], "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "geometry processing", "shape modeling", "shape-aware deformation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 712, "image_height": 244, "name": "aichner-2016-sadf-image.png", "type": "image/png", "size": 73895, "path": "Publication:aichner-2016-sadf", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "aichner-2016-sadf-thesis.pdf", "type": "application/pdf", "size": 7158555, "path": "Publication:aichner-2016-sadf", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/", "__class": "Publication" }, { "id": "Groeller_2016_P7", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Depth functions as a quality measure and for steering multidimensional projections", "date": "2016-11", "abstract": "The analysis of multidimensional data has been a topic of continuous research for many years.This type of data can be found inseveral different areas ofscience. \nThe analysis of multidimensional data has been a topic of continuous research for many years. This type of data can be found in several different areas of science. A common task while analyzing such data is to investigate patterns by interacting with spatializations of the data in a visual domain. Understanding the relation between the underlying dataset characteristics and the technique used to provide its visual representation is of fundamental importance since it can provide a better intuition on what to expect from the spatialization. In this paper, we propose the usage of concepts from non-parametric statistics, namely depth functions, as a quality measure for spatializations. We evaluate the action of multi-dimensional projection techniques on such estimates. We apply both qualitative and quantitative ana-lyses on four different multidimensional techniques selected according to the properties they aim to preserve. We evaluate them with datasets of different characteristics: synthetic, real world, high dimensional; and contaminated with outliers. As a straightforward application, we propose to use depth information to guide multidimensional projection techniques which rely on interaction through control point selection and positioning. Even for techniques which do not intend to preserve any centrality measure, interesting results can be achieved by separating regions possibly contaminated with outliers.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 453, "image_height": 362, "name": "Groeller_2016_P7-image.PNG", "type": "image/png", "size": 28144, "path": "Publication:Groeller_2016_P7", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/Groeller_2016_P7-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/Groeller_2016_P7-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1408, 1195, 1413, 166, 1414, 1415 ], "issn": "doi: 10.1016/j.cag.2016.08.008", "journal": "Computers & Graphics (Special Section on SIBGRAPI 2016)", "lecturer": [ 1416 ], "pages_from": "93", "pages_to": "106", "volume": "60", "research_areas": [ "Perception" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 453, "image_height": 362, "name": "Groeller_2016_P7-image.PNG", "type": "image/png", "size": 28144, "path": "Publication:Groeller_2016_P7", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/Groeller_2016_P7-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/Groeller_2016_P7-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Groeller_2016_P7-Paper.pdf", "type": "application/pdf", "size": 2203763, "path": "Publication:Groeller_2016_P7", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/Groeller_2016_P7-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/Groeller_2016_P7-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/", "__class": "Publication" }, { "id": "LeMuzic_2016_PhD", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "From Atoms to Cells: Interactive and Illustrative Visualization of Digitally Reproduced Lifeforms", "date": "2016-10-06", "abstract": "Macromolecules, such as proteins, are the building blocks of the machinery of life, and therefore are essential to the comprehension of physiological processes. In physiology, illustrations and animations are often utilized as a mean of communication because they can easily be understood with little background knowledge. However, their realization\nrequires numerous months of manual work, which is both expensive and time consuming.\nComputational biology experts produce everyday large amount of data that is publicly available and that contains valuable information about the structure and also the function of these macromolecules. Instead of relying on manual work to generate illustrative\nvisualizations of the cell biology, we envision a solution that would utilize all the data already available in order to streamline the creation process.\nIn this thesis are presented several contributions that aim at enabling our vision. First, a novel GPU-based rendering pipeline that allows interactive visualization of realistic molecular datasets comprising up to hundreds of millions of macromolecules. The rendering pipeline is embedded into a popular game engine and well known computer graphics optimizations were adapted to support this type of data, such as level-of-detail, instancing and occlusion queries. Secondly, a new method for authoring cutaway views and improving spatial exploration of crowded molecular landscapes. The system relies on the use of clipping objects that are manually placed in the scene and on visibility\nequalizers that allows fine tuning of the visibility of each species present in the scene.\nAgent-based modeling produces trajectory data that can also be combined with structural information in order to animate these landscapes. The snapshots of the trajectories are often played in fast-forward to shorten the length of the visualized sequences, which also renders potentially interesting events occurring at a higher temporal resolution invisible. The third contribution is a solution to visualize time-lapse of agent-based\nsimulations that also reveals hidden information that is only observable at higher temporal resolutions. And finally, a new type of particle-system that utilize quantitative models as input and generate missing spatial information to enable the visualization of molecular trajectories and interactions. The particle-system produces a similar visual output as\ntraditional agent-based modeling tools for a much lower computational footprint and\nallows interactive changing of the simulation parameters, which was not achievable with previous methods.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 261, "image_height": 261, "name": "LeMuzic_2016_PhD-image.jpg", "type": "image/jpeg", "size": 21110, "path": "Publication:LeMuzic_2016_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1189 ], "date_end": "2016", "date_start": "2013", "matrikelnr": "1326132", "reviewer_1": [ 171 ], "reviewer_2": [ 1399 ], "rigorosum": "2016-11-23", "supervisor": [ 171 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 261, "image_height": 261, "name": "LeMuzic_2016_PhD-image.jpg", "type": "image/jpeg", "size": 21110, "path": "Publication:LeMuzic_2016_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-image:thumb{{size}}.png" }, { "description": null, "filetitle": "PhD-Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "LeMuzic_2016_PhD-PhD-Thesis.pdf", "type": "application/pdf", "size": 54355957, "path": "Publication:LeMuzic_2016_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-PhD-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-PhD-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/", "__class": "Publication" }, { "id": "unterguggenberger-2016-realmar", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Realistic Rendering in Mobile Augmented Reality", "date": "2016-10-05", "abstract": "Augmented Reality (AR) applications combine a view of a physical, real-world environment\nwith computer-generated objects and effects in real-time. Depending on the application,\nit is desirable to maximize the visual coherence of the virtual objects compared to the\nreal-world image. To achieve this goal, virtual objects have to be rendered as realistically\nas possible. This thesis presents an image-based lighting (IBL) technique for realistic\nrendering of virtual objects on mobile devices which uses lighting information from the\nreal-world environment.\nIn the first step, the presented technique uses a mobile device’s camera and motion sensors\nto capture an omni-directional image of the surrounding in high dynamic range (HDR)\nand stores it in an environment map. In the second step, the captured environment map\nis prepared for rendering with different materials by calculating a set of maps. During\nrendering, the most suitable of these maps are selected for each material and used for\nshading a virtual object with the specific material. The map which contains diffuse\nillumination information is called irradiance map, and the maps which contain glossy or\nspecular illumination information are called reflection maps. The calculation of the maps\ncorresponds to a weighted convolution. The weighting is determined by a reflection model\nwhich takes the correct amount of incident lighting from all directions into account. How\nthese calculations can be performed efficiently on mobile devices is the main focus of this\nthesis. Multiple approaches to perform the calculations are described. Their properties,\nresults, strengths and weaknesses are analyzed and optimizations are proposed.\nWe describe three different approaches for the calculation of irradiance and reflection maps\nin this thesis: the accurate calculation, a MIP-mapping based approximation method,\nand calculation via spherical harmonics (SH) frequency space. We provide detailed\nimplementation instructions, analyses, and discussions for each of these approaches with\nregard to the properties and limitations of mobile devices. Furthermore, we describe how\nthe calculated maps can be used with IBL rendering and be combined with established\nrendering techniques to achieve a high degree of visual coherence of virtual objects in\nAR scenes.\nThe main novelty of this thesis is its focus on the capabilities of mobile devices. We\ndescribe how to do all steps on a single commodity mobile device: From capturing the\nenvironment at a certain point in space, to calculating the irradiance and reflection maps,\nand finally rendering virtual objects using the calculated maps in an AR scene.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1275, "image_height": 686, "name": "unterguggenberger-2016-realmar-image.jpg", "type": "image/jpeg", "size": 195980, "path": "Publication:unterguggenberger-2016-realmar", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 848 ], "co_supervisor": [ 1720 ], "date_end": "2016-10", "date_start": "2014-07", "diploma_examina": "2016-11-15", "matrikelnr": "00721639", "open_access": "no", "supervisor": [ 378 ], "research_areas": [], "keywords": [ "Augmented Reality", "Mobile", "Vuforia", "Irradiance Mapping", "Reflection Mapping", "Spherical Harmonics" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1275, "image_height": 686, "name": "unterguggenberger-2016-realmar-image.jpg", "type": "image/jpeg", "size": 195980, "path": "Publication:unterguggenberger-2016-realmar", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "unterguggenberger-2016-realmar-poster.pdf", "type": "application/pdf", "size": 4222265, "path": "Publication:unterguggenberger-2016-realmar", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "unterguggenberger-2016-realmar-thesis.pdf", "type": "application/pdf", "size": 18242639, "path": "Publication:unterguggenberger-2016-realmar", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/", "__class": "Publication" }, { "id": "Groeller_2016_I4", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Data Exploration", "date": "2016-10", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_to": "2016-10-11", "event": "Keynote talk at the 21st International Symposium on Vision, Modeling and Visualization (VMV 2016), Bayreuth, Germany", "location": "Keynote talk at the 21st International Symposium on Vision, Modeling and Visualization (VMV 2016), Bayreuth, Germany", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I4/", "__class": "Publication" }, { "id": "Groeller_2016_P6", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "PorosityAnalyzer: Visual Analysis and Evaluation of Segmentation Pipelines to Determine the Porosity in Fiber-Reinforced Polymers", "date": "2016-10", "abstract": "In this paper we present PorosityAnalyzer, a novel tool for detailed evaluation and visual analysis of pore segmentation pipelines to determine the porosity in fiber-reinforced polymers (FRPs). The presented tool consists of two modules: the computation module and the analysis module. The computation module enables a convenient setup and execution of distributed off-line-computations on industrial 3D X-ray computed tomography datasets. It allows the user to assemble individual segmentation pipelines in the form of single pipeline steps, and to specify the parameter ranges as well as the sampling of the parameter-space of each pipeline segment. The result of a single segmentation run consists of the input parameters, the calculated 3D binary-segmentation mask, the resulting porosity value, and other derived results (e.g., segmentation pipeline runtime). The analysis module presents the data at different levels of detail by drill-down filtering in order to determine accurate and robust segmentation pipelines. Overview visualizations allow to initially compare and evaluate the segmentation pipelines. With a scatter plot matrix (SPLOM), the segmentation pipelines are examined in more detail based on their input and output parameters. Individual segmentation-pipeline runs are selected in the SPLOM and visually examined and compared in 2D slice views and 3D renderings by using aggregated segmentation masks and statistical contour renderings. PorosityAnalyzer has been thoroughly evaluated with the help of twelve domain experts. Two case studies demonstrate the applicability of our proposed concepts and visualization techniques, and show that our tool helps domain experts to gain new insights and improve their workflow efficiency.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 570, "image_height": 436, "name": "Groeller_2016_P6-image.PNG", "type": "image/png", "size": 307225, "path": "Publication:Groeller_2016_P6", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P6/Groeller_2016_P6-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P6/Groeller_2016_P6-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1169, 817, 166, 571, 611 ], "booktitle": "IEEE Conference on Visual Analytics Science and Technology, 2016 (VAST 2016)", "lecturer": [ 651 ], "pages_from": "101", "pages_to": "110", "publisher": "IEEE Computer Society", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://vimeo.com/182984586", "caption": "Video", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 570, "image_height": 436, "name": "Groeller_2016_P6-image.PNG", "type": "image/png", "size": 307225, "path": "Publication:Groeller_2016_P6", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P6/Groeller_2016_P6-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P6/Groeller_2016_P6-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P6/", "__class": "Publication" }, { "id": "erler_philipp-2016-femfluid-prakt", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Finite Element Fluids in Matlab", "date": "2016-10", "abstract": "Implementation of a 2D finite elements free-surface liquid simulation with solid obstables in Matlab.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 801, "image_height": 801, "name": "erler_philipp-2016-femfluid-prakt-image.png", "type": "image/png", "size": 33173, "path": "Publication:erler_philipp-2016-femfluid-prakt", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1395 ], "date_end": "2016-10", "date_start": "2015-07", "matrikelnr": "1426424", "supervisor": [ 1090, 193 ], "research_areas": [ "Modeling" ], "keywords": [ "Finite Element Method", "FEM", "Fluid Simulation" ], "weblinks": [ { "href": "https://philipperler.net/2016/11/16/fem-fluid/", "caption": "Project website with code and videos", "description": null, "main_file": 0 } ], "files": [ { "description": "example with many blockers", "filetitle": "animated screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 808, "image_height": 808, "name": "erler_philipp-2016-femfluid-prakt-animated screenshot.gif", "type": "image/gif", "size": 4040931, "path": "Publication:erler_philipp-2016-femfluid-prakt", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-animated screenshot.gif", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-animated screenshot:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 801, "image_height": 801, "name": "erler_philipp-2016-femfluid-prakt-image.png", "type": "image/png", "size": 33173, "path": "Publication:erler_philipp-2016-femfluid-prakt", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-image:thumb{{size}}.png" }, { "description": "Summary of findings, including an analysis of volume loss with respect to grid resolution and time stepping.", "filetitle": "Technical Report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler_philipp-2016-femfluid-prakt-Technical Report.pdf", "type": "application/pdf", "size": 16515661, "path": "Publication:erler_philipp-2016-femfluid-prakt", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-Technical Report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-Technical Report:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/", "__class": "Publication" }, { "id": "Przemyslaw_Gora_2016_UVU", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Unreal vs Unity: Ein Vergleich zwischen zwei modernen Spiele-Engines", "date": "2016-10", "abstract": "This bachelor’s thesis focuses on the comparison of two game engines, the Unreal Engine 4 and Unity 5 Engine. We will take a closer look at the different aspects that we find important, describe and compare them. Starting with the content-pipeline, which includes the usage of externally created content, we will focus on three big categories: Audio, Images and 3D-Assets. During this process it will be shown that Unity 5 supports much more formats to import than the Unreal Engine 4. This is especially noticeable with Audio and 3D-Assets. For the latter there is a feature in Unity 5 that allows you to directly import formats of various modelling tools like Maya, although it is fair to mention that in a few cases one will be reverting to the standard way of importing FBX files. While Unreal Engine 4 doesn’t have a huge support for external formats it offers more options to use the assets within the engine. \n\nIn the following chapter we will take a look at the features each engine has to offer. Both, Unreal and Unity, have a big arsenal of tools to simplify various aspects of the development process. Yet again the Unreal Engines offers a greater set of options. Afterwards we will create a simple small project in Unreal Engine 4 and Unity 5 to demonstrate the usability and tools both engines have to offer. As we will see, the level design and placing of some objects in the editor is very similar. The interesting part starts with the creation of a controllable player character. The behaviour of such is realized differently on both sides. In Unity 5 one uses C#-scripts whereas Unreal Engine 4 offers visual scripting. We will compare those two systems and point out their pros and cons.\n\nIn the further course we will take a look at the list of effects from the lecture UE Computergraphik (186.831) and check if they are available in either of both engines. In the last chapter, we’ll take a look at the legal aspects and limitation when using Unreal and Unity. It’s interesting to see how far it is possible to use those engines in university lectures.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1393, 1394 ], "date_end": "2016", "date_start": "2015", "matrikelnr": "0825680", "note": "1", "supervisor": [ 193, 1120 ], "research_areas": [ "Rendering" ], "keywords": [ "Unreal, Unity 3D, Game Engine" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Przemyslaw_Gora_2016_UVU-thesis.pdf", "type": "application/pdf", "size": 9351058, "path": "Publication:Przemyslaw_Gora_2016_UVU", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Przemyslaw_Gora_2016_UVU/Przemyslaw_Gora_2016_UVU-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Przemyslaw_Gora_2016_UVU/Przemyslaw_Gora_2016_UVU-thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Unity Project", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Przemyslaw_Gora_2016_UVU-Unity Project.zip", "type": "application/x-zip-compressed", "size": 3786768, "path": "Publication:Przemyslaw_Gora_2016_UVU", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Przemyslaw_Gora_2016_UVU/Przemyslaw_Gora_2016_UVU-Unity Project.zip", "thumb_image_sizes": [] }, { "description": null, "filetitle": "Unreal Project", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Przemyslaw_Gora_2016_UVU-Unreal Project.zip", "type": "application/x-zip-compressed", "size": 765634, "path": "Publication:Przemyslaw_Gora_2016_UVU", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Przemyslaw_Gora_2016_UVU/Przemyslaw_Gora_2016_UVU-Unreal Project.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Przemyslaw_Gora_2016_UVU/", "__class": "Publication" }, { "id": "Reichinger_2016", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Gesture-Based Interactive Audio Guide on Tactile Reliefs", "date": "2016-10", "abstract": "For blind and visually impaired people, tactile reliefs offer many benefits over the more classic raised line drawings or tactile diagrams, as depth, 3D shape and surface textures are directly perceivable. However, without proper guidance some reliefs are still difficult to explore autonomously.\nIn this work, we present a gesture-controlled interactive audio guide (IAG) based on recent low-cost depth cameras that operates directly on relief surfaces. The interactively explorable, location-dependent verbal descriptions promise rapid tactile accessibility to 2.5D spatial information in a home or education setting, to on-line resources, or as a kiosk installation at \npublic places.\nWe present a working prototype, discuss design decisions and present the results of two evaluation sessions with a total of \n20 visually impaired test users.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 404, "image_height": 262, "name": "Reichinger_2016-image.jpg", "type": "image/jpeg", "size": 19342, "path": "Publication:Reichinger_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 879, 228, 204, 190 ], "date_from": "2016-10-23", "date_to": "2016-10-26", "event": "18th International ACM SIGACCESS Conference on Computers and Accessibility", "journal": "Proceedings of the 18th International ACM SIGACCESS Conference on Computers & Accessibility", "lecturer": [ 879 ], "location": "Reno, Nevada, USA", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 404, "image_height": 262, "name": "Reichinger_2016-image.jpg", "type": "image/jpeg", "size": 19342, "path": "Publication:Reichinger_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reichinger_2016-Paper.pdf", "type": "application/pdf", "size": 5469565, "path": "Publication:Reichinger_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/", "__class": "Publication" }, { "id": "Reichinger-2016-spaghetti", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Spaghetti, Sink and Sarcophagus: Design Explorations of Tactile Artworks for Visually Impaired People", "date": "2016-10", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 879, 190 ], "booktitle": "Proceedings of the 9th Nordic Conference on CHI 2016", "date_from": "2016", "event": "9th Nordic Conference on CHI 2016", "lecturer": [ 879 ], "research_areas": [ "Fabrication", "Perception" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger-2016-spaghetti/", "__class": "Publication" }, { "id": "WIMMER-2016-HARVEST4D", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Harvesting Dynamic 3DWorlds from Commodity Sensor Clouds", "date": "2016-10", "abstract": "The EU FP7 FET-Open project \"Harvest4D: Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds\" deals with the acquisition, processing, and display of dynamic 3D data. Technological progress is offering us a wide-spread availability of sensing devices that deliver different data streams, which can be easily deployed in the real world and produce streams of sampled data with increased density and easier iteration of the sampling process. These data need to be processed and displayed in a new way. The Harvest4D project proposes a radical change in acquisition and processing technology: instead of a goal-driven acquisition that determines the devices and sensors, its methods let the sensors and resulting available data determine the acquisition process. A variety of challenging problems need to be solved: huge data amounts, different modalities, varying scales, dynamic, noisy and colorful data. This short contribution presents a selection of the many scientific results produced by Harvest4D. We will focus on those results that could bring a major impact to the Cultural Heritage domain, namely facilitating the acquisition of the sampled data or providing advanced visual analysis capabilities.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 861, "image_height": 123, "name": "WIMMER-2016-HARVEST4D-image.png", "type": "image/png", "size": 25487, "path": "Publication:WIMMER-2016-HARVEST4D", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1518, 1519, 823, 1520, 1326, 1521, 1522, 193 ], "booktitle": "Proceedings of the 14th Eurographics Workshop on Graphics and Cultural Heritage", "date_from": "2016-10-05", "date_to": "2016-10-07", "doi": "10.2312/gch.20161378", "editor": "Chiara Eva Catalano and Livio De Luca", "event": "GCH 2016", "isbn": "978-3-03868-011-6", "lecturer": [ 1518 ], "location": "Genova, Italy", "pages_from": "19", "pages_to": "22", "publisher": "Eurographics Association", "research_areas": [ "Geometry", "Rendering" ], "keywords": [ "acquisition", "3d scanning", "reconstruction" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 861, "image_height": 123, "name": "WIMMER-2016-HARVEST4D-image.png", "type": "image/png", "size": 25487, "path": "Publication:WIMMER-2016-HARVEST4D", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "WIMMER-2016-HARVEST4D-paper.pdf", "type": "application/pdf", "size": 11624405, "path": "Publication:WIMMER-2016-HARVEST4D", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/", "__class": "Publication" }, { "id": "SCHUETZ-2016-POT", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Potree: Rendering Large Point Clouds in Web Browsers", "date": "2016-09-19", "abstract": "This thesis introduces Potree, a web-based renderer for large point clouds. It allows users\nto view data sets with billions of points, from sources such as LIDAR or photogrammetry,\nin real time in standard web browsers.\nOne of the main advantages of point cloud visualization in web browser is that it\nallows users to share their data sets with clients or the public without the need to install\nthird-party applications and transfer huge amounts of data in advance. The focus on\nlarge point clouds, and a variety of measuring tools, also allows users to use Potree to\nlook at, analyze and validate raw point cloud data, without the need for a time-intensive\nand potentially costly meshing step.\nThe streaming and rendering of billions of points in web browsers, without the need\nto load large amounts of data in advance, is achieved with a hierarchical structure that\nstores subsamples of the original data at different resolutions. A low resolution is stored\nin the root node and with each level, the resolution gradually increases. The structure\nallows Potree to cull regions of the point cloud that are outside the view frustum, and\nto render distant regions at a lower level of detail.\nThe result is an open source point cloud viewer, which was able to render point cloud\ndata sets of up to 597 billion points, roughly 1.6 terabytes after compression, in real time\nin a web browser.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Around 280 million points.\nPoint cloud courtesy of Pix4D.", "filetitle": "Matterhorn", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 906, "image_height": 741, "name": "SCHUETZ-2016-POT-Matterhorn.png", "type": "image/png", "size": 989456, "path": "Publication:SCHUETZ-2016-POT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Matterhorn.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Matterhorn:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1116 ], "date_end": "2016-09-10", "date_start": "2014-08-01", "matrikelnr": "0825723", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "point cloud rendering", "WebGL", "LIDAR" ], "weblinks": [ { "href": "https://github.com/potree", "caption": "github repository", "description": null, "main_file": 0 } ], "files": [ { "description": "Around 17 billion points. \nPoint cloud courtesy of Open Topography and PG&E.", "filetitle": " San Luis Obispo County coast", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2000, "image_height": 990, "name": "SCHUETZ-2016-POT- San Luis Obispo County coast.jpg", "type": "image/jpeg", "size": 386647, "path": "Publication:SCHUETZ-2016-POT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT- San Luis Obispo County coast.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT- San Luis Obispo County coast:thumb{{size}}.png" }, { "description": "Around 280 million points.\nPoint cloud courtesy of Pix4D.", "filetitle": "Matterhorn", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 906, "image_height": 741, "name": "SCHUETZ-2016-POT-Matterhorn.png", "type": "image/png", "size": 989456, "path": "Publication:SCHUETZ-2016-POT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Matterhorn.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Matterhorn:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": null, "preview_image_height": null, "name": "SCHUETZ-2016-POT-poster.pdf", "type": "application/pdf", "size": 18316148, "path": "Publication:SCHUETZ-2016-POT", "preview_name": "SCHUETZ-2016-POT-poster:preview.png", "preview_type": null, "preview_size": null, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-poster.pdf", "thumb_image_sizes": [] }, { "description": "Point cloud courtesy of Riegl.", "filetitle": "Retz", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 866, "image_height": 533, "name": "SCHUETZ-2016-POT-Retz.png", "type": "image/png", "size": 952898, "path": "Publication:SCHUETZ-2016-POT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Retz.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Retz:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 906, "preview_image_height": 741, "name": "SCHUETZ-2016-POT-thesis.pdf", "type": "application/pdf", "size": 95787159, "path": "Publication:SCHUETZ-2016-POT", "preview_name": "SCHUETZ-2016-POT-thesis:preview.png", "preview_type": "image/png", "preview_size": 989456, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/", "__class": "Publication" }, { "id": "Groeller_2016_P4", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visual Analytics for the Exploration and Assessment of Segmentation Errors", "date": "2016-09-07", "abstract": "Several diagnostic and treatment procedures require the segmentation of anatomical structures from medical images. However, the automatic model-based methods that are often employed, may produce inaccurate segmentations. These, if used as input for diagnosis or treatment, can have detrimental effects for the patients. Currently, an analysis to predict which anatomic regions are more prone to inaccuracies, and to determine how to improve segmentation algorithms, cannot be performed. We propose a visual tool to enable experts, working on model-based segmentation algorithms, to explore and analyze the outcomes and errors of their methods. Our approach supports the exploration of errors in a cohort of pelvic organ segmentations, where the\nperformance of an algorithm can be assessed. Also, it enables the detailed exploration and assessment of segmentation errors, in individual subjects. To the best of our knowledge, there is no other tool with comparable functionality. A usage scenario is employed to explore and illustrate the capabilities of our visual tool. To further assess the value of the proposed tool, we performed an evaluation with five segmentation experts. The evaluation participants confirmed the potential of the tool in providing new insight into their data and employed algorithms. They also gave feedback for future improvements.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 360, "image_height": 335, "name": "Groeller_2016_P4-image.PNG", "type": "image/png", "size": 191339, "path": "Publication:Groeller_2016_P4", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/Groeller_2016_P4-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/Groeller_2016_P4-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410, 1411, 679, 166, 459, 1412 ], "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine", "lecturer": [ 161, 563, 459 ], "pages_from": "193", "pages_to": "202", "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 360, "image_height": 335, "name": "Groeller_2016_P4-image.PNG", "type": "image/png", "size": 191339, "path": "Publication:Groeller_2016_P4", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/Groeller_2016_P4-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/Groeller_2016_P4-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Groeller_2016_P4-Paper.pdf", "type": "application/pdf", "size": 8104018, "path": "Publication:Groeller_2016_P4", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/Groeller_2016_P4-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/Groeller_2016_P4-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/", "__class": "Publication" }, { "id": "sorger-2016-fowardabstraction", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Illustrative Transitions in Molecular Visualization via Forward and Inverse Abstraction Transform", "date": "2016-09", "abstract": "A challenging problem in biology is the incompleteness of acquired information when visualizing biological phenomena. Structural biology generates detailed models of viruses or bacteria at different development stages, while the processes that relate one stage to another are often not clear. Similarly, the entire life cycle of a biological entity might be available as a quantitative model, while only one structural model is available. If the relation between two models is specified at a lower level of detail than the actual models themselves, the two models cannot be interpolated correctly. We propose a method that deals with the visualization of incomplete data information in the developmental or evolutionary states of biological mesoscale models, such as viruses or microorganisms. The central tool in our approach is visual abstraction. Instead of directly interpolating between two models that show different states of an organism, we gradually forward transform the models into a level of visual abstraction that matches the level of detail of the modeled relation between them. At this level, the models can be interpolated without conveying false information. After the interpolation to the new state, we apply the inverse transformation to the model’'s original level of abstraction. To show the flexibility of our approach, we demonstrate our method on the basis of molecular data, in particular data of the HIV virion and the mycoplasma bacterium.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2084, "image_height": 1027, "name": "sorger-2016-fowardabstraction-teaser.png", "type": "image/png", "size": 2349725, "path": "Publication:sorger-2016-fowardabstraction", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1072, 935, 1285, 1379, 171 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM)", "editor": "S. Bruckner, B. Preim, and A. Vilanova", "location": "Bergen", "organization": "Eurographics", "pages_from": "21", "pages_to": "30", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "I.3.3 [Computer Graphics]: Picture/Image Generation-Display algorithms" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sorger-2016-fowardabstraction-paper.pdf", "type": "application/pdf", "size": 4626761, "path": "Publication:sorger-2016-fowardabstraction", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2084, "image_height": 1027, "name": "sorger-2016-fowardabstraction-teaser.png", "type": "image/png", "size": 2349725, "path": "Publication:sorger-2016-fowardabstraction", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sorger-2016-fowardabstraction-video.mp4", "type": "video/mp4", "size": 41423527, "path": "Publication:sorger-2016-fowardabstraction", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-video:video.mp4" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/", "__class": "Publication" }, { "id": "dworschak-2016-szcm", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Semantically Zoomable Choropleth Map", "date": "2016-09", "abstract": "Geographic visualizations, like choropleth maps, are used to visualize data on geographic\nregions. In this thesis a choropleth map was implemented to display quantities of\npublications of scientific texts and papers. With the use of a choropleth map the viewer\nis able to interpret how quantitative data changes on different geographic regions. The\nmain feature that distinguishes the implemented choropleth map from conventional ones\nis the use of map navigation. The choropleth map can be zoomed and panned to different\nmap regions. What makes this map navigation so special is the use of semantic zooming\nto allow the level of detail of the map to change on discrete zoom steps. The change\nof the level of detail means that administrative regions are being divided into smaller\nadministrative regions which are than again colorized individually to create a new, more\ndetailed, choropleth map. Other interactions with the choropleth map are introduced\nadditionally. The other interactions with the map range from the manipulation of the\nmap appearance to filtering the displayed data set.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 637, "image_height": 185, "name": "dworschak-2016-szcm-teaser.png", "type": "image/png", "size": 73351, "path": "Publication:dworschak-2016-szcm", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1353 ], "date_end": "2016-09", "date_start": "2016-05", "duration": "5 months", "matrikelnr": "1225883", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 637, "image_height": 185, "name": "dworschak-2016-szcm-teaser.png", "type": "image/png", "size": 73351, "path": "Publication:dworschak-2016-szcm", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "dworschak-2016-szcm-thesis.pdf", "type": "application/pdf", "size": 6720884, "path": "Publication:dworschak-2016-szcm", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/", "__class": "Publication" }, { "id": "Mistelbauer_Gabriel_2016", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Aortic Dissection Maps: Comprehensive Visualization of Aortic Dissections for Risk Assessment", "date": "2016-09", "abstract": "Aortic dissection is a life threatening condition of the aorta, characterized by separation of its wall layers into a true and false lumen. A subset of patients require immediate surgical or endovascular repair. All survivors of the acute phase need long-term surveillance with imaging to monitor chronic degeneration and dilatation of the false lumen and prevent late adverse events such as rupture, or malperfusion. We introduce four novel plots displaying features of aortic dissections known or presumed to be associated with risk of future adverse events: Aortic diameter, the blood supply (outflow) to the aortic branches from the true and false lumen, the previous treatment, and an estimate of adverse event-free probabilities in one, two and 5 years. Aortic dissection maps, the composite visualization of these plots, provide a baseline for visual comparison of the complex features and associated risk of aortic dissection. These maps may lead to more individualized monitoring and improved, patient-centric treatment planning in the future.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 883, "image_height": 679, "name": "Mistelbauer_Gabriel_2016-image.jpg", "type": "image/jpeg", "size": 91398, "path": "Publication:Mistelbauer_Gabriel_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/Mistelbauer_Gabriel_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/Mistelbauer_Gabriel_2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 869, 950, 1388, 1389, 1390, 164 ], "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine (2016)", "lecturer": [ 161 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 883, "image_height": 679, "name": "Mistelbauer_Gabriel_2016-image.jpg", "type": "image/jpeg", "size": 91398, "path": "Publication:Mistelbauer_Gabriel_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/Mistelbauer_Gabriel_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/Mistelbauer_Gabriel_2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Mistelbauer_Gabriel_2016-Paper.pdf", "type": "application/pdf", "size": 7675802, "path": "Publication:Mistelbauer_Gabriel_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/Mistelbauer_Gabriel_2016-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/Mistelbauer_Gabriel_2016-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/", "__class": "Publication" }, { "id": "prost-2016-molecule", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Molecule-Rendering in Unity3D", "date": "2016-09", "abstract": "Due to their omnipresence and ease of use, smart phones are getting more and more utilized\nas educational instruments for different subjects, for example, visualizing molecules in a chemistry class. In domain-specific mobile visualization applications, the choice of the ideal visualization technique of molecules can vary based on the background and age of the target group, and mostly depends on the choice of a graphical designer. Designers, however, rarely have sufficient programming skills and require an engineer even for the slightest adjustment in the required visual appearance. In this thesis we present a configuration system for rendering effects implemented in Unity3D, that allows to define the visual appearance of a molecule in a JSON file without the need of programming knowledge. We discuss the technical realization of different rendering effects on a mobile platform, and demonstrate our system and its versatility on a commercial chemistry visualization app, creating different visual styles for molecule renderings that are appealing to students as well as scientists and advertisement.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 365, "image_height": 368, "name": "prost-2016-molecule-image.jpg", "type": "image/jpeg", "size": 25682, "path": "Publication:prost-2016-molecule", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1377 ], "date_end": "2016-09", "date_start": "2015-10", "matrikelnr": "1225511", "supervisor": [ 193, 799 ], "research_areas": [ "IllVis", "Rendering" ], "keywords": [ "molecule visualization", "Unity", "rendering effects", "mobile devices" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 365, "image_height": 368, "name": "prost-2016-molecule-image.jpg", "type": "image/jpeg", "size": 25682, "path": "Publication:prost-2016-molecule", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 386, "preview_image_height": 387, "name": "prost-2016-molecule-thesis.pdf", "type": "application/pdf", "size": 13068587, "path": "Publication:prost-2016-molecule", "preview_name": "prost-2016-molecule-thesis:preview.jpg", "preview_type": "image/jpeg", "preview_size": 25787, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/", "__class": "Publication" }, { "id": "Spechtenhauser_Florian_2016", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Visual Analytics for Rule-Based Quality Management of Multivariate Data", "date": "2016-08", "abstract": "Ensuring an appropriate data quality is a critical topic when analyzing the ever increasing amounts of data collected and generated in today’s world. Depending on the given task, even sophisticated analysis methods may cause misleading results due to an insufficient quality of the data set at hand. In this case, automated plausibility checks based on defined rules are frequently used to detect data problems such as missing data or anomalies.\nHowever, defining such rules and using their results for an efficient data quality\nassessment is a challenging topic. Visualization is powerful to reveal unexpected problems in the data, and can additionally be used to validate results of applied automated plausibility checks. Visual Analytics closes the gap between automated data analysis and visualization by providing means to guide the definition and optimization of plausibility checks in order to use them for a continuous detection and validation of problems detected in the data.\nThis diploma thesis provides a design study of a Visual Analytics approach, called Data Quality Overview, which provides a detailed, yet scalable summary of the results of defined plausibility checks, and includes means for validation and investigation of these results at various levels of detail. The approach is based on a detailed task analysis of\ndata quality assessment, and is validated using a case study based on sensor data from the energy sector in addition to feedback collected from domain experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 549, "image_height": 522, "name": "Spechtenhauser_Florian_2016-image.jpg", "type": "image/jpeg", "size": 60977, "path": "Publication:Spechtenhauser_Florian_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1094 ], "date_end": "2016-08", "date_start": "2015", "matrikelnr": "0826226", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 549, "image_height": 522, "name": "Spechtenhauser_Florian_2016-image.jpg", "type": "image/jpeg", "size": 60977, "path": "Publication:Spechtenhauser_Florian_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Spechtenhauser_Florian_2016-thesis.pdf", "type": "application/pdf", "size": 15688971, "path": "Publication:Spechtenhauser_Florian_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/", "__class": "Publication" }, { "id": "Tucek_Tom-2016-aai", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Agent-based architecture for artistic real-time installation", "date": "2016-08", "abstract": "The aim of this thesis is to transfer artistically predetermined scenarios and behaviours\nfor several digital figures acting in the context of an artistic art installation\ninto an agent based system and develop the corresponding agent behaviours.\nFor his purpose the agent-oriented programming language called AgentSpeak is used.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1534 ], "date_end": "2017", "date_start": "2016-08", "matrikelnr": "1325775", "supervisor": [ 193, 1128 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Tucek_Tom-2016-aai/", "__class": "Publication" }, { "id": "Wang-2016-BAC", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Game Design Patterns for CPU Performance Gain in Games\t", "date": "2016-08", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1570 ], "date_end": "2016-08", "date_start": "2016-01", "matrikelnr": "1226083", "supervisor": [ 193, 1120 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 790, "image_height": 589, "name": "Wang-2016-BAC-image.png", "type": "image/png", "size": 634295, "path": "Publication:Wang-2016-BAC", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Wang-2016-BAC/Wang-2016-BAC-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Wang-2016-BAC/Wang-2016-BAC-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Wang-2016-BAC-thesis.pdf", "type": "application/pdf", "size": 1041340, "path": "Publication:Wang-2016-BAC", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Wang-2016-BAC/Wang-2016-BAC-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Wang-2016-BAC/Wang-2016-BAC-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Wang-2016-BAC/", "__class": "Publication" }, { "id": "bernhard-2016-gft", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": " The Accuracy of Gauge-Figure Tasks in Monoscopic and Stereo Displays", "date": "2016-07", "abstract": "The gauge-figure task (GFT) is a widespread method used to study surface perception for evaluating rendering and visualization techniques. The authors investigate how accurately slant angles probed on well-defined objects align with the ground truth (GT) in monoscopic and stereoscopic displays. Their results show that the GFT probes taken with well-defined objects align well with the GT in the all-monoscopic and all-stereoscopic conditions. However, they found that a GF rendered in stereo over a monoscopic stimulus results in a strong slant underestimation and that an overestimation occurred in the inverse case (monoscopic GF andstereoscopic stimulus). They discuss how their findings affect the interpretation of absolute GFT measures, compared to the GT normal.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 216, "image_height": 205, "name": "bernhard-2016-gft-.jpg", "type": "image/jpeg", "size": 38475, "path": "Publication:bernhard-2016-gft", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 660, 1110, 1293, 896, 171 ], "journal": "IEEE Computer Graphics and Applications", "number": "4", "pages_from": "56", "pages_to": "66", "volume": "36", "research_areas": [ "Perception" ], "keywords": [ "computer graphics", "gauge-figure task", "perceptual visualization", "shape perception" ], "weblinks": [ { "href": "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7478440", "caption": "IEEE Xplore", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 216, "image_height": 205, "name": "bernhard-2016-gft-.jpg", "type": "image/jpeg", "size": 38475, "path": "Publication:bernhard-2016-gft", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/", "__class": "Publication" }, { "id": "Kehl-Direct-2016", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Direct Image-to-Geometry Registration Using Mobile Sensor Data", "date": "2016-07", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1514, 1515, 1516, 171, 1156 ], "date_from": "2016", "date_to": "2016", "doi": "10.5194/isprs-annals-III-2-121-2016", "event": "ISPRS", "journal": "ISPRS Annals of Photogrammetry, Remote Sensing and Spatial InformationSciences", "lecturer": [ 1514 ], "pages": "121–128", "pages_from": "121", "pages_to": "128", "volume": "III-2", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kehl-Direct-2016/", "__class": "Publication" }, { "id": "leimer-2016-rpe", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Relation-Based Parametrization and Exploration of Shape Collections", "date": "2016-07", "abstract": "With online repositories for 3D models like 3D Warehouse becoming more prevalent and growing ever larger, new possibilities have opened up for both experienced and inexperienced users alike. These large collections of shapes can provide inspiration for designers or make it possible to synthesize new shapes by combining different parts from already existing shapes, which can be both easy to learn and a fast way of creating new shapes.\n\nBut exploring large shape collections or searching for particular kinds of shapes can be difficult and time-consuming tasks as well, especially considering that online repositories are often disorganized. In our work, we propose a relation-based way to parametrize shape collections, allowing the user to explore the entire set of shapes by controlling a small number of parameters.", "authors_et_al": false, "substitute": null, "main_image": { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1589, "image_height": 1028, "name": "leimer-2016-rpe-thumbnail.jpg", "type": "image/jpeg", "size": 835063, "path": "Publication:leimer-2016-rpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-thumbnail.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-thumbnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1019, 193, 844 ], "booktitle": "ACM SIGGRAPH 2016 Posters", "date_from": "2016-07-24", "date_to": "2016-07-28", "event": "ACM SIGGRAPH 2016", "isbn": "978-1-4503-4371-8", "location": "Anaheim, CA, USA", "pages_from": "34:1", "pages_to": "34:1", "publisher": "ACM", "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "3D database exploration", "shape analysis", "shape collections" ], "weblinks": [], "files": [ { "description": "abstract", "filetitle": "abstract", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2016-rpe-abstract.pdf", "type": "application/pdf", "size": 1415754, "path": "Publication:leimer-2016-rpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-abstract:thumb{{size}}.png" }, { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3434, "image_height": 2277, "name": "leimer-2016-rpe-image.jpg", "type": "image/jpeg", "size": 2935937, "path": "Publication:leimer-2016-rpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-image:thumb{{size}}.png" }, { "description": "poster", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2016-rpe-poster.pdf", "type": "application/pdf", "size": 1305359, "path": "Publication:leimer-2016-rpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-poster:thumb{{size}}.png" }, { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1589, "image_height": 1028, "name": "leimer-2016-rpe-thumbnail.jpg", "type": "image/jpeg", "size": 835063, "path": "Publication:leimer-2016-rpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-thumbnail.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-thumbnail:thumb{{size}}.png" }, { "description": "video", "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2016-rpe-video.mp4", "type": "video/mp4", "size": 7108944, "path": "Publication:leimer-2016-rpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-video:video.mp4" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/", "__class": "Publication" }, { "id": "schmidt-phd", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Scalable Comparative Visualization", "date": "2016-06-28", "abstract": "The comparison of two or more objects is getting an increasingly important task in data analysis. Visualization systems successively have to move from representing one phenomenon to allowing users to analyze several datasets at once. Visualization systems can support the users in several ways. Firstly, comparison tasks can be supported in a very intuitive way by allowing users to place objects that should be compared in an appropriate context. Secondly, visualization systems can explicitly compute differences among the datasets and present the results to the user. In comparative visualization, researchers are working on new approaches for computer-supported techniques that provide data comparison functionality. Techniques from this research field can be used to compare two objects with each other, but often reach their limits if a multitude of objects (i.e., 100 or more) have to be compared. Large data collections that contain a lot of individual, but related, datasets with slightly different characteristics can be called ensembles. The individual datasets being part of an ensemble are called the ensemble members. Ensembles have been created in the simulation domain, especially for weather and climate research, for already quite some time. These domains were greatly driving the development of ensemble visualization techniques. Due to the availability of affordable computing resources and the multitude of different analysis algorithms (e.g., for segmentation), other domains nowadays also face similar problems. All together, this shows a great need for ensemble visualization techniques in various domains. Ensembles can either be analyzed in a feature-based or in a location-based way. In the case of a location-based analysis, the ensemble members are compared based on certain spatial data positions of interest. For such an analysis, local selection and analysis techniques for ensembles are needed.\n\nIn the course of this thesis different visual analytics techniques for the comparative visualization of datasets have been researched. A special focus has been set on providing scalable techniques, which makes them also suitable for ensemble datasets. The proposed techniques operate on different dataset types in 2D and 3D. In the first part of the thesis, a visual analytics approach for the analysis of 2D image datasets is introduced. The technique analyzes localized differences in 2D images. The approach not only identifies differences in the data, but also provides a technique to quickly find out what the differences are, and judge upon the underlying data. This way patterns can be found in the data, and outliers can be identified very quickly. As a second part of the thesis, a scalable application for the comparison of several similar 3D mesh datasets is described. Such meshes may be, for example, created by point-cloud reconstruction algorithms, using different parameter settings. Similar to the proposed technique for the comparison of 2D images, this application is also scalable to a large number of individual datasets. The application enables the automatic comparison of the meshes, searches interesting regions in the data, and allows users to also concentrate on local regions of interest. The analysis of the local regions is in this case done in 3D. The application provides the possibility to arrange local regions in a parallel coordinates plot. The regions are represented by the axes in the plot, and the input meshes are depicted as polylines. This way it can be very quickly spotted whether meshes produce good/bad results in a certain local region. In the third and last part of the thesis, a technique for the interactive analysis of local regions in a volume ensemble dataset is introduced. Users can pick regions of interest, and these regions can be arranged in a graph according to their similarity. The graph can then be used to detect similar regions with a similar data distribution within the ensemble, and to compare individual ensemble members against the rest of the ensemble. All proposed techniques and applications have been tested with real-world datasets from different domains. The results clearly show the usefulness of the techniques for the comparative analysis of ensembles.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 603, "image_height": 446, "name": "schmidt-phd-teaser.png", "type": "image/png", "size": 11954, "path": "Publication:schmidt-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 950 ], "date_end": "2016", "date_start": "2011", "reviewer_1": [ 166 ], "reviewer_2": [ 161 ], "rigorosum": "2016-06-28", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 603, "image_height": 446, "name": "schmidt-phd-teaser.png", "type": "image/png", "size": 11954, "path": "Publication:schmidt-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 589, "preview_image_height": 460, "name": "schmidt-phd-thesis.pdf", "type": "application/pdf", "size": 42185190, "path": "Publication:schmidt-phd", "preview_name": "schmidt-phd-thesis:preview.png", "preview_type": "image/png", "preview_size": 814656, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL", "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/", "__class": "Publication" }, { "id": "Reimerth_Saskia_2016_RGU", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Redesigning the Graphical User Interface of an Application for Visualizing prenatal 3D Ultrasound Scans", "date": "2016-06-19", "abstract": "The goal of this Bachelor’s thesis was to take an existing application for the representation\nof volume data and redesign the user interface for the use as an application to represent\n3D ultra sound scans of babies. Therefore the original design got evaluated and reduced\nto the most important functions. A requirement analysis was conducted and based on it,\na modern and simple Design got developed. After this iterative process, a prototype was\ncreated, which then got evaluated again.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1368 ], "matrikelnr": "0807136", "supervisor": [ 190 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reimerth_Saskia_2016_RGU-Bachelor Thesis.pdf", "type": "application/pdf", "size": 3183044, "path": "Publication:Reimerth_Saskia_2016_RGU", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reimerth_Saskia_2016_RGU/Reimerth_Saskia_2016_RGU-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reimerth_Saskia_2016_RGU/Reimerth_Saskia_2016_RGU-Bachelor Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reimerth_Saskia_2016_RGU/", "__class": "Publication" }, { "id": "Gadllah_Hani_2016", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Comparative Visualization of the Circle of Willis", "date": "2016-06", "abstract": "The human brain is supplied with blood by arteries that form a collateral circulation, the so-called Circle of Willis (CoW). The anatomy of the CoW varies considerably among the population. In fact, depending on the study, just 13% to 72% of the population does have the typical textbook illustration of the CoW. Although divergent configurations are usually not pathological, some incomplete configurations increase the risk of stroke.\nFurthermore, studies suggest an association between certain neurological diseases and abnormal configurations of the CoW. Thus, for the diagnosis and treatment of diverse neurological diseases the assessment of the patient’s CoW is an important issue. This thesis addresses the development of a software for a comparative visualization of the CoWs\nof a population with the CoWs of a second population. For this purpose, an average CoW is calculated for each of the populations. The two resulting CoWs are then visualized side-by-side, so that the viewer is able to distinguish differences between the CoWs of the two populations with relatively little effort. The aim of this visualization is the support\nof studies that consider the clinical significance of the different CoW configurations as well as the support of diagnosis and treatment of diseases that are caused by an abnormal configuration of the CoW. The latter can be achieved by comparing the patient’s CoW with datasets of risk groups or with a dataset of a healthy population. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 909, "image_height": 804, "name": "Gadllah_Hani_2016-image.png", "type": "image/png", "size": 120201, "path": "Publication:Gadllah_Hani_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/Gadllah_Hani_2016-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/Gadllah_Hani_2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1356 ], "date_end": "2016-06", "date_start": "2016-02", "matrikelnr": "1128636", "supervisor": [ 166 ], "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 909, "preview_image_height": 804, "name": "Gadllah_Hani_2016-Bachelor Thesis.pdf", "type": "application/pdf", "size": 1537208, "path": "Publication:Gadllah_Hani_2016", "preview_name": "Gadllah_Hani_2016-Bachelor Thesis:preview.png", "preview_type": "image/png", "preview_size": 120201, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/Gadllah_Hani_2016-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/Gadllah_Hani_2016-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 909, "image_height": 804, "name": "Gadllah_Hani_2016-image.png", "type": "image/png", "size": 120201, "path": "Publication:Gadllah_Hani_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/Gadllah_Hani_2016-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/Gadllah_Hani_2016-image:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/", "__class": "Publication" }, { "id": "karimov-2016-GIVE", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Guided Interactive Volume Editing in Medicine", "date": "2016-06", "abstract": "Various medical imaging techniques, such as Computed Tomography, Magnetic Resonance Imaging, Ultrasonic Imaging, are now gold standards in the diagnosis of different diseases.\nThe diagnostic process can be greatly improved with the aid of automatic and interactive analysis tools, which, however, require certain prerequisites in order to operate.\nSuch analysis tools can, for example, be used for pathology assessment, various standardized measurements, treatment and operation planning.\nOne of the major requirements of such tools is the segmentation mask of an object-of-interest.\nHowever, the segmentation of medical data remains subject to errors and mistakes.\nOften, physicians have to manually inspect and correct the segmentation results, as (semi-)automatic techniques do not immediately satisfy the required quality.\nTo this end, interactive segmentation editing is an integral part of medical image processing and visualization.\n\nIn this thesis, we present three advanced segmentation-editing techniques.\nThey are focused on simple interaction operations that allow the user to edit segmentation masks quickly and effectively.\nThese operations are based on a topology-aware representation that captures structural features of the segmentation mask of the object-of-interest.\n\nFirstly, in order to streamline the correction process, we classify segmentation defects according to underlying structural features and propose a correction procedure for each type of defect.\nThis alleviates users from manually applying the proper editing operations, but the segmentation defects still have to be located by users.\n\nSecondly, we extend the basic editing process by detecting regions that potentially contain defects.\nWith subsequently suggested correction scenarios, users are hereby immediately able to correct a specific defect, instead of manually searching for defects beforehand.\nFor each suggested correction scenario, we automatically determine the corresponding region of the respective defect in the segmentation mask and propose a suitable correction operation.\nIn order to create the correction scenarios, we detect dissimilarities within the data values of the mask and then classify them according to the characteristics of a certain type of defect.\nPotential findings are presented with a glyph-based visualization that facilitates users to interactively explore the suggested correction scenarios on different levels-of-detail.\nAs a consequence, our approach even offers users the possibility to fine-tune the chosen correction scenario instead of directly manipulating the segmentation mask, which is a time-consuming and cumbersome task.\n\nThird and finally, we guide users through the multitude of suggested correction scenarios of the entire correction process.\nAfter statistically evaluating all suggested correction scenarios, we rank them according to their significance of dissimilarities, offering fine-grained editing capabilities at a user-specified level-of-detail.\nAs we visually convey this ranking in a radial layout, users can easily spot and select the most (or the least) dissimilar correction scenario, which improves the segmentation mask mostly towards the desired result.\n\nAll techniques proposed within this thesis have been evaluated by collaborating radiologists.\nWe assessed the usability, interaction aspects, the accuracy of the results and the expenditure of time of the entire correction process.\nThe outcome of the assessment showed that our guided volume editing not only leads to acceptable segmentation results with only a few interaction steps, but also is applicable to various application scenarios.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Image", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 925, "image_height": 342, "name": "karimov-2016-GIVE-Image.png", "type": "image/png", "size": 301144, "path": "Publication:karimov-2016-GIVE", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-GIVE/karimov-2016-GIVE-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-GIVE/karimov-2016-GIVE-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 925 ], "date_end": "2016-06", "date_start": "2012-03", "reviewer_1": [ 161 ], "reviewer_2": [ 563 ], "rigorosum": "2016-06-28", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "Abstract", "filetitle": "Abstract", "main_file": true, "use_in_gallery": false, "access": "public", "name": "karimov-2016-GIVE-Abstract.pdf", "type": "application/csv", "size": 60623, "path": "Publication:karimov-2016-GIVE", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-GIVE/karimov-2016-GIVE-Abstract.pdf", "thumb_image_sizes": [] }, { "description": "Image", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 925, "image_height": 342, "name": "karimov-2016-GIVE-Image.png", "type": "image/png", "size": 301144, "path": "Publication:karimov-2016-GIVE", "url": 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To identify patterns of cracks, which endanger the structural integrity of its concrete surface, analysts need an integrated solution for visual analysis of geometric and multivariate data to decide if issuing a repair project is necessary. The primary contribution of this work is a design study, supporting tunnel crack analysis by tightly integrating geometric and attribute views to allow users a holistic visual analysis of geometric representations and multivariate attributes. Our secondary contribution is Visual Analytics and Rendering, a methodological approach which addresses challenges and recurring design questions in integrated systems. We evaluated the tunnel crack analysis solution in informal feedback sessions with experts from tunnel maintenance and surveying. We substantiated the derived methodology by providing guidelines and linking it to examples from the literature.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 750, "image_height": 340, "name": "ortner-2016-tunnel-teaser.gif", "type": "image/gif", "size": 97212, "path": "Publication:ortner-2016-tunnel", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-tunnel/ortner-2016-tunnel-teaser.gif", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-tunnel/ortner-2016-tunnel-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1277, 1072, 451, 205, 166 ], "event": "Computer Graphics International (CGI)", "journal": "The Visual Computer", "number": "6", "pages_from": "859", "pages_to": "869", "volume": "32", "research_areas": [ "InfoVis" ], "keywords": [ "Integration of spatial and non-spatial data", "Methodology", "Visual analytics" ], "weblinks": [ { "href": "http://link.springer.com/article/10.1007/s00371-016-1257-5", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 750, "image_height": 340, "name": "ortner-2016-tunnel-teaser.gif", "type": "image/gif", "size": 97212, "path": "Publication:ortner-2016-tunnel", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-tunnel/ortner-2016-tunnel-teaser.gif", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-tunnel/ortner-2016-tunnel-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-tunnel/", "__class": "Publication" }, { "id": "mindek-2016-utah-talk", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Multi-Scale Molecular Data Visualization", "date": "2016-05-03", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Teaser 1", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 859, "image_height": 382, "name": "mindek-2016-utah-talk-Teaser 1.png", "type": "image/png", "size": 109219, "path": "Publication:mindek-2016-utah-talk", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 1.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 1:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935 ], "date_from": "2016-05-02", "date_to": "2016-05-03", "event": "QCB Workshop on Visualizing & Modeling Cell Biology", "lecturer": [ 935 ], "location": "Salt Lake City, Utah, USA", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "molecular visualization", "multiscale" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2016-utah-talk-Slides.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 538745965, "path": "Publication:mindek-2016-utah-talk", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Slides.pptx", "thumb_image_sizes": [] }, { "description": null, "filetitle": "Teaser 1", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 859, "image_height": 382, "name": "mindek-2016-utah-talk-Teaser 1.png", "type": "image/png", "size": 109219, "path": "Publication:mindek-2016-utah-talk", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 1.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 1:thumb{{size}}.png" }, { "description": null, "filetitle": "Teaser 2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 500, "image_height": 332, "name": "mindek-2016-utah-talk-Teaser 2.png", "type": "image/png", "size": 191960, "path": "Publication:mindek-2016-utah-talk", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 2:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/", "__class": "Publication" }, { "id": "Groeller_2016_I3", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Understanding Data through Visual Exploration", "date": "2016-05", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "event": "Keynote talk at Visionday 2016, Danmarks Tekniske Universitet (DTU Compute)", "location": "Keynote talk at Visionday 2016, Danmarks Tekniske Universitet (DTU Compute)", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I3/", "__class": "Publication" }, { "id": "TR1862162", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Visual Analysis of Volume Ensembles Based on Local Features", "date": "2016-05", "abstract": "Ensemble datasets describe a specific phenomenon (e.g., a simulation scenario or a measurements series) through a large set of individual ensemble members. These individual members typically do not differ too much from each other but rather feature slightly changing characteristics. In many cases, the ensemble members are defined in 3D space, which implies severe challenges when exploring the complete ensembles such as handling occlusions, focus and context or its sheer datasize. In this paper we address these challenges and put our focus on the exploration of local features in 3D volumetric ensemble datasets, not only by visualizing local characteristics, but also by identifying connections to other local features with similar characteristics in the data. We evaluate the variance in the dataset and use the the spatial median (medoid) of the ensemble to visualize the differences in the dataset. This medoid is subsequently used as a representative of the ensemble in 3D. The variance information is used to guide users during the exploration, as regions of high variance also indicate larger changes within the ensemble members. The local characteristics of the regions can be explored by using our proposed 3D probing widgets. These widgets consist of a 3D sphere, which can be positioned at any point in 3D space. While moving a widget, the local data characteristics at the corresponding position are shown in a separate detail view, which depicts the local outliers and their surfaces in comparison to the medoid surface. The 3D probing widgets can also be fixed at a user-defined position of interest. The fixed probing widgets are arranged in a similarity graph to indicate similar local data characteristics. The similarity graph thus allows to explore whether high variances in a certain region are caused by the same dataset members or not. Finally, it is also possible to compare a single member against the rest of the ensemble. We evaluate our technique through two demonstration cases using volumetric multi-label segmentation mask datasets, two from the\nindustrial domain and two from the medical domain.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 599, "image_height": 277, "name": "TR1862162-teaser.png", "type": "image/png", "size": 498904, "path": "Publication:TR1862162", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/TR1862162-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/TR1862162-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 950, 1191, 799, 983, 166, 161, 611 ], "number": "TR-186-2-16-2", "research_areas": [ "InfoVis" ], "keywords": [ "ensemble visualization", "guided local exploration", "variance analysis" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 599, "image_height": 277, "name": "TR1862162-teaser.png", "type": "image/png", "size": 498904, "path": "Publication:TR1862162", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/TR1862162-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/TR1862162-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "tech-report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "TR1862162-tech-report.pdf", "type": "application/pdf", "size": 5108648, "path": "Publication:TR1862162", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/TR1862162-tech-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/TR1862162-tech-report:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/", "__class": "Publication" }, { "id": "ilcik-2016-cescg", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "20 Years of the Central European Seminar on Computer Graphics", "date": "2016-05", "abstract": "The Central European Seminar on Computer Graphics is an annual scientific seminar for undergraduate students of computer graphics, vision and visual computing. Its main mission is to promote graphics research and to motivate students to pursue academic careers. An international committee of experts guides their research work for several months. At the end, students present their results at a three days seminar to an audience of approx. 100 students and professors. All attendants actively participate in discussions and workshops focused on academic skills and career planing for young researchers. Interactive sessions on innovation help them to identify the value of their ideas and motivate them to continue in their work.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "CESCG", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3935, "image_height": 3090, "name": "ilcik-2016-cescg-CESCG.jpg", "type": "image/jpeg", "size": 2192956, "path": "Publication:ilcik-2016-cescg", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/ilcik-2016-cescg-CESCG.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/ilcik-2016-cescg-CESCG:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1303, 1256, 583, 193 ], "booktitle": "Eurographics 2016 Education Papers", "date_from": "2016-05-09", "date_to": "2016-05-13", "editor": "Beatriz Sousa Santos and Jean-Michel Dischler", "issn": "1017-4656", "lecturer": [ 1303 ], "location": "Lisbon", "pages_from": "25", "pages_to": "30", "publisher": "The Eurographics Association", "research_areas": [], "keywords": [ "Promotion of undergraduate research", "Student seminar" ], "weblinks": [], "files": [ { "description": null, "filetitle": "CESCG", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3935, "image_height": 3090, "name": "ilcik-2016-cescg-CESCG.jpg", "type": "image/jpeg", "size": 2192956, "path": "Publication:ilcik-2016-cescg", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/ilcik-2016-cescg-CESCG.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/ilcik-2016-cescg-CESCG:thumb{{size}}.png" }, { "description": null, "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ilcik-2016-cescg-preprint.pdf", "type": "application/pdf", "size": 7529226, "path": "Publication:ilcik-2016-cescg", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/ilcik-2016-cescg-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/ilcik-2016-cescg-preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "abteilung" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/", "__class": "Publication" }, { "id": "Langer_Maximillian_DMV", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Dynamic Multiscale Vector Volumes", "date": "2016-04-18", "abstract": "Dynamic multiscale vector volumes is a solid representation based on signed distance functions to represent object boundaries. Multiscale vector volumes utilize a binary tree and an embedding mechanism to represent structures on different scales in a compact and efficient way. By extending the representation with an analytical formulation to partly replace signed distance functions, an efficient local animation of boundaries can be achieved. The representation uses a markup language for object definition that allows\nthe user to create their own objects. The concept of dynamic multiscale vector volumes is implemented and tested in the Unity3D editor. The complete rendering is done on the graphics card.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1268 ], "matrikelnr": "1226991", "supervisor": [ 171 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Langer_Maximillian_DMV-Thesis.pdf", "type": "application/pdf", "size": 1815008, "path": "Publication:Langer_Maximillian_DMV", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Langer_Maximillian_DMV/Langer_Maximillian_DMV-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Langer_Maximillian_DMV/Langer_Maximillian_DMV-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Langer_Maximillian_DMV/", "__class": "Publication" }, { "id": "schoerkhuber_dominik-2016-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Fast KNN in Screenspace on GPGPU", "date": "2016-04-18", "abstract": "Virtualization of realworld objects and scenes became very popular in recent years due to af-\nfordable laser-scanning technology. Nowadays it’s not only possible to capture static frames\nbut also realtime frame sequences. Rendering of those captures is difficult because visually ap-\npealing renderings involve the computation of local surface reconstruction from pointclouds and\ntherefore a lot of preprocessing. This is usually not possible in realtime.\nOne important processing step is the computation of nearest neighbours for each 3d-point.\nThe neighbourhood information is not only used for normal reconstruction and local surface\nestimation, but can also be utilized for collision detection.\nIn this paper we present a method for computing the k-nearest-neighbor sets for pointclouds\nin realtime. To achieve high frame rates we parallelize the algorithm on the GPU, using the\nNvidia CUDA parallel computation framework. Furthermore computations are limited to op-\nerate in screen-space, to reduce computational complexity even further, and effectively prevent\nrendering invisible geometry. We also utilize the invented FastKnn algorithm to estimate local\nsurface reconstruction for splat rendering of pointclouds in realtime and show how it compares\nto a state of the art algorithm.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Representative image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 759, "image_height": 784, "name": "schoerkhuber_dominik-2016-baa-image.jpg", "type": "image/jpeg", "size": 48267, "path": "Publication:schoerkhuber_dominik-2016-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/schoerkhuber_dominik-2016-baa-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/schoerkhuber_dominik-2016-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1180 ], "co_supervisor": [ 948 ], "date_end": "2014-06-30", "date_start": "2014-03-05", "duration": "6 months", "matrikelnr": "e1027470", "supervisor": [ 948 ], "research_areas": [], "keywords": [ "cuda", "gpu", "nearest neighbor search", "knn", "screen space" ], "weblinks": [ { "href": "https://svn.cg.tuwien.ac.at/data/svn/fastknn/", "caption": "SVN repository", "description": null, "main_file": 0 } ], "files": [ { "description": "Representative image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 759, "image_height": 784, "name": "schoerkhuber_dominik-2016-baa-image.jpg", "type": "image/jpeg", "size": 48267, "path": "Publication:schoerkhuber_dominik-2016-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/schoerkhuber_dominik-2016-baa-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/schoerkhuber_dominik-2016-baa-image:thumb{{size}}.png" }, { "description": "Bachelor thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "schoerkhuber_dominik-2016-baa-thesis.pdf", "type": "application/pdf", "size": 9690734, "path": "Publication:schoerkhuber_dominik-2016-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/schoerkhuber_dominik-2016-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/schoerkhuber_dominik-2016-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/", "__class": "Publication" }, { "id": "Groeller_2016_I1", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "The Certainly Uncertain Uncertainty Talk", "date": "2016-04", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "event": "Second Workshop on Uncertainty, Technische Universität München, Informatik 15 (Computer Graphik 6 Visualisierung)", "location": "Second Workshop on Uncertainty, Technische Universität München, Informatik 15 (Computer Graphik 6 Visualisierung)", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I1/", "__class": "Publication" }, { "id": "Groeller_2016_I2", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Computing and Comparative Visualization", "date": "2016-04", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "event": "Invited Talk", "location": " Czech Technical University, Faculty of Electrical Engineering, Department of Computer Graphics and Interaction", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I2/", "__class": "Publication" }, { "id": "karimov-2016-SD", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Statistics-Driven Localization of Dissimilarities in Data", "date": "2016-04", "abstract": "The identification of dissimilar regions in spatial and temporal data is a fundamental part of data exploration.\nThis process takes place in applications, such as biomedical image processing as well as climatic data analysis.\nWe propose a general solution for this task by employing well-founded statistical tools.\nFrom a large set of candidate regions, we derive an empirical distribution of the data and perform statistical hypothesis testing to obtain p-values as measures of dissimilarity.\nHaving p-values, we quantify differences and rank regions on a global scale according to their dissimilarity to user-specified exemplar regions.\nWe demonstrate our approach and its generality with two application scenarios, namely interactive exploration of climatic data and segmentation editing in the medical domain.\nIn both cases our data exploration protocol unifies the interactive data analysis, guiding the user towards regions with the most relevant dissimilarity characteristics.\nThe dissimilarity analysis results are conveyed with a radial tree, which prevents the user from searching exhaustively through all the data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 700, "image_height": 700, "name": "karimov-2016-SD-image.png", "type": "image/png", "size": 173482, "path": "Publication:karimov-2016-SD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/karimov-2016-SD-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/karimov-2016-SD-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 925, 869, 808, 166 ], "number": "TR-186-2-16-1", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 700, "image_height": 700, "name": "karimov-2016-SD-image.png", "type": "image/png", "size": 173482, "path": "Publication:karimov-2016-SD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/karimov-2016-SD-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/karimov-2016-SD-image:thumb{{size}}.png" }, { "description": "Technical report", "filetitle": "technical report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "karimov-2016-SD-technical report.pdf", "type": "application/csv", "size": 13697916, "path": "Publication:karimov-2016-SD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/karimov-2016-SD-technical report.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/", "__class": "Publication" }, { "id": "klein-2016-WCL", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Towards Interactive Visual Exploration of Parallel Programs using a Domain-Specific Language", "date": "2016-04", "abstract": "The use of GPUs and the massively parallel computing paradigm have become wide-spread. We describe a framework for the interactive visualization and visual analysis of the run-time behavior of massively parallel programs, especially OpenCL kernels. This facilitates understanding a program's function and structure, finding the causes of possible slowdowns, locating program bugs, and interactively exploring and visually comparing different code variants in order to improve performance and correctness. Our approach enables very specific, user-centered analysis, both in terms of the recording of the run-time behavior and the visualization itself. Instead of having to manually write instrumented code to record data, simple code annotations tell the source-to-source compiler which code instrumentation to generate automatically. The visualization part of our framework then enables the interactive analysis of kernel run-time behavior in a way that can be very specific to a particular problem or optimization goal, such as analyzing the causes of memory bank conflicts or understanding an entire parallel algorithm.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1285, "image_height": 369, "name": "klein-2016-WCL-image.png", "type": "image/png", "size": 297574, "path": "Publication:klein-2016-WCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1285, 161, 166, 226, 488 ], "event": "4th International Workshop on OpenCL (IWOCL '16)", "location": "Vienna, Austria", "publisher": "ACM", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "extended_abstract", "main_file": false, "use_in_gallery": false, "access": "public", "name": "klein-2016-WCL-extended_abstract.pdf", "type": "application/pdf", "size": 866287, "path": "Publication:klein-2016-WCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-extended_abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-extended_abstract:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1285, "image_height": 369, "name": "klein-2016-WCL-image.png", "type": "image/png", "size": 297574, "path": "Publication:klein-2016-WCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "klein-2016-WCL-poster.pdf", "type": "application/pdf", "size": 3606134, "path": "Publication:klein-2016-WCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-poster:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/", "__class": "Publication" }, { "id": "Oancea_Stefan_2016_VOT", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Variance Orientation Transform Detection of Early Osteoarthritis in Knee Trabecular Bone", "date": "2016-03-17", "abstract": "Since the fractal properties of the knee trabecular bone were discovered, fractal methods for analyzing bone surface radiographic projections have gained more attention. This is partly due to the fact that radiography is the cheapest imaging technique in routine clinical screening and partly due to the fact that it was shown that the trabecular bones of osteoarthritic patients indicate early deformations, even long before the characteristic join loss occurs. The ultimate goal of such an algorithm would be to differentiate healthy from unhealthy trabecular bone.\n\nThis paper presents a report of our implementation of the Variance Orientation\nTransform (VOT) algorithm, a fractal method, which unlike other similar methods, is able to quantify bone texture in different directions and over different scales of measurement.\n\nIt is based on the idea that a single fractal dimension value is not enough to describe such a complex structure as the trabecular bone and thus, VOT calculates more descriptive fractal dimensions called fractal signatures (FSs).\n\nIn Chapters 1 and 2 we introduce the notion of fractals and the theoretical background behind them and the VOT algorithm. In Chapter 3 similar techniques for analyzing trabecular bone are presented and in Chapter 4 our particular attempt at implementing VOT is described in detail; moreover, in the same Chapter VOT is validated using some artificially generated fractal surfaces and the ability of differentiating healthy and affected bone is also investigated. The last Chapter, Chapter 5, covers further\npossible ideas of improving and testing of the algorithm.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1361 ], "matrikelnr": "1227706", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Oancea_Stefan_2016_VOT-Thesis.pdf", "type": "application/pdf", "size": 5265238, "path": "Publication:Oancea_Stefan_2016_VOT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Oancea_Stefan_2016_VOT/Oancea_Stefan_2016_VOT-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Oancea_Stefan_2016_VOT/Oancea_Stefan_2016_VOT-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Oancea_Stefan_2016_VOT/", "__class": "Publication" }, { "id": "Kroesl_Katharina_2016_PPT", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Interactive, Progressive Photon Tracing using a Multi-Resolution Image-Filtering Approach", "date": "2016-03", "abstract": "Modern workflows in architectural planning and lighting design require physically reliable lighting simulations for detailed and complex 3D models. Current workflows for luminaire design and lighting design are not tailored to each other. During luminaire design, CAD programs are used to create 3D models of luminaires, and offline rendering tools are used to visualize the light distribution. In lighting design, light concepts are explored by placing light sources - previously created during luminaire design - in a 3D scene using an interactive light-planning software, but it is not possible to modify the light sources themselves. This thesis presents an interactive global-illumination algorithm to simulate the light distribution of a luminaire. The algorithm produces visually pleasing intermediate results at interactive frame rates, before converging to a physically plausible solution that can be imported as a representation of a light source into a light-planning software. We combine an interactive, progressive photon-tracing algorithm with a multi-resolution image-filtering approach. Our algorithm iteratively emits photons into a 3D scene containing the model of a luminaire and progressively refines results. We use mipmaps to create a multi-resolution approach and incorporate image-filtering techniques to obtain visually pleasing intermediate results. Evaluations based on objective quality metrics show that the presented image-filtering approach increases image quality when compared to non-filtered results. The proposed algorithm provides fast previews and allows interactive modifications of the geometry and material properties of the luminaire in real time. This reduces time between modification iterations and therefore turns luminaire design into an interactive process that reduces overall production time.Furthermore, the presented approach integrates luminaire design into lighting design and therefore provides a new way to combine two former decoupled workflows.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1283, "image_height": 1107, "name": "Kroesl_Katharina_2016_PPT-image.png", "type": "image/png", "size": 585959, "path": "Publication:Kroesl_Katharina_2016_PPT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/Kroesl_Katharina_2016_PPT-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/Kroesl_Katharina_2016_PPT-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030 ], "supervisor": [ 193, 659 ], "research_areas": [], "keywords": [ "photon tracing", "luminaire design", "lighting design" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1283, "image_height": 1107, "name": "Kroesl_Katharina_2016_PPT-image.png", "type": "image/png", "size": 585959, "path": "Publication:Kroesl_Katharina_2016_PPT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/Kroesl_Katharina_2016_PPT-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/Kroesl_Katharina_2016_PPT-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kroesl_Katharina_2016_PPT-poster.pdf", "type": "application/force-download", "size": 2975771, "path": "Publication:Kroesl_Katharina_2016_PPT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/Kroesl_Katharina_2016_PPT-poster.pdf", "thumb_image_sizes": [] }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kroesl_Katharina_2016_PPT-thesis.pdf", "type": "application/force-download", "size": 20637346, "path": "Publication:Kroesl_Katharina_2016_PPT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/Kroesl_Katharina_2016_PPT-thesis.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/", "__class": "Publication" }, { "id": "prieler_daniel-2013-da", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Real-time Meshing for Noisy Points", "date": "2016-02-29", "abstract": "The increasing availability of 3D scanning devices in both industrial and entertainment\nenvironments (e.g., Microsoft Kinect) creates a demand for fast and reliable resampling\nand reconstruction techniques. Point clouds, especially raw range images, are often\nnon-uniformly sampled and subject to non-uniform noise levels. Current state-of-the-art\ntechniques often require user-provided parameters that estimate the noise level of the\npoint cloud. This produces sub-optimal results for point sets with varying noise extent.\nWe propose an isotropically fair neighborhood definition which is specifically designed\nto address non-uniformly sampled point clouds. Our iterative point cloud resampling\nmethod estimates and adapts to the local noise level at each sample. This increases\nthe reconstruction quality for point clouds with high noise levels while being completely\nparameter free. The data structures built during the resampling process are reused to\nspeed up the process of creating a consistent normal orientation. Evaluation of the re-\nsampling quality shows that our technique outperforms current state-of-the-art methods\nfor varying noise levels and non-uniform sampling. Both the resampling algorithm and\nthe subsequent consistent normal orientation operate locally and can be implemented\nefficiently in parallel. Our GPU sphere regression implementation outperforms the stan-\ndard sequential procedure by a factor of 20.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Local orienting of normals", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1781, "image_height": 989, "name": "prieler_daniel-2013-da-image.jpg", "type": "image/jpeg", "size": 91841, "path": "Publication:prieler_daniel-2013-da", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/prieler_daniel-2013-da-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/prieler_daniel-2013-da-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 944 ], "date_end": "2014-08-12", "date_start": "2013-08-13", "matrikelnr": "0726319", "supervisor": [ 948 ], "research_areas": [], "keywords": [ "surface fitting", "surface reconstruction", "noise", "meshing", "real-time", "CUDA" ], "weblinks": [], "files": [ { "description": "Local orienting of normals", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1781, "image_height": 989, "name": "prieler_daniel-2013-da-image.jpg", "type": "image/jpeg", "size": 91841, "path": "Publication:prieler_daniel-2013-da", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/prieler_daniel-2013-da-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/prieler_daniel-2013-da-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "prieler_daniel-2013-da-poster.pdf", "type": "binary/octet-stream", "size": 4917960, "path": "Publication:prieler_daniel-2013-da", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/prieler_daniel-2013-da-poster.pdf", "thumb_image_sizes": [] }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "prieler_daniel-2013-da-thesis.pdf", "type": "binary/octet-stream", "size": 14706877, "path": "Publication:prieler_daniel-2013-da", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/prieler_daniel-2013-da-thesis.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/", "__class": "Publication" }, { "id": "arikan-2015-dmrt", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Multi-Depth-Map Raytracing for Efficient Large-Scene Reconstruction", "date": "2016-02", "abstract": "With the enormous advances of the acquisition technology over the last years, fast processing and high-quality\nvisualization of large point clouds have gained increasing attention. Commonly, a mesh surface is reconstructed from the point\ncloud and a high-resolution texture is generated over the mesh from the images taken at the site to represent surface materials. However, this global reconstruction and texturing approach becomes impractical with increasing data sizes. Recently, due to its\npotential for scalability and extensibility, a method for texturing a set of depth maps in a preprocessing and stitching them at runtime has been proposed to represent large scenes. However, the rendering performance of this method is strongly dependent on the number of depth maps and their resolution. Moreover, for the proposed scene representation, every single depth map has to be textured by the images, which in practice heavily increases processing costs. In this paper, we present a novel method\nto break these dependencies by introducing an efficient raytracing of multiple depth maps. In a preprocessing phase, we first generate high-resolution textured depth maps by rendering the input points from image cameras and then perform a graph-cut\nbased optimization to assign a small subset of these points to the images. At runtime, we use the resulting point-to-image assignments (1) to identify for each view ray which depth map contains the closest ray-surface intersection and (2) to efficiently\ncompute this intersection point. The resulting algorithm accelerates both the texturing and the rendering of the depth maps by an order of magnitude.", "authors_et_al": false, "substitute": null, "main_image": { "description": "teaser image", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 2855, "image_height": 1392, "name": "arikan-2015-dmrt-image.jpg", "type": "image/jpeg", "size": 2864240, "path": "Publication:arikan-2015-dmrt", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 865, 799, 193 ], "doi": "10.1109/TVCG.2015.2430333", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization & Computer Graphics", "number": "2", "pages_from": "1127", "pages_to": "1137", "volume": "22", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [ { "href": "http://http://dx.doi.org/10.1109/TVCG.2015.2430333", "caption": "doi", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "arikan-2015-dmrt-draft.pdf", "type": "application/pdf", "size": 1697346, "path": "Publication:arikan-2015-dmrt", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-draft:thumb{{size}}.png" }, { "description": "teaser image", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 2855, "image_height": 1392, "name": "arikan-2015-dmrt-image.jpg", "type": "image/jpeg", "size": 2864240, "path": "Publication:arikan-2015-dmrt", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-image:thumb{{size}}.png" }, { "description": "[45MB]", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "arikan-2015-dmrt-video.mp4", "type": "video/mp4", "size": 47571465, "path": "Publication:arikan-2015-dmrt", "preview_name": "arikan-2015-dmrt-video:preview.png", "preview_type": "image/jpeg", "preview_size": 91344, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-video:video.mp4" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/", "__class": "Publication" }, { "id": "ortner-2016-visaware", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Vis-a-ware: Integrating spatial and non-spatial visualization for visibility-aware urban planning", "date": "2016-01-22", "abstract": "3D visibility analysis plays a key role in urban planning for assessing the visual impact of proposed buildings on the cityscape. A call for proposals typically yields around 30 candidate buildings that need to be evaluated with respect to selected viewpoints. Current visibility analysis methods are very time-consuming and limited to a small number of viewpoints. Further, analysts neither have measures to evaluate candidates quantitatively, nor to compare them efficiently. The primary contribution of this work is the design study of Vis-A-Ware, a visualization system to qualitatively and quantitatively evaluate, rank, and compare visibility data of candidate buildings with respect to a large number of viewpoints. Vis-A-Ware features a 3D spatial view of an urban scene and non-spatial views of data derived from visibility evaluations, which are tightly integrated by linked interaction. To enable a quantitative evaluation we developed four metrics in accordance with experts from urban planning. We illustrate the applicability of Vis-A-Ware on the basis of a use case scenario and present results from informal feedback sessions with domain experts from urban planning and development. This feedback suggests that Vis-A-Ware is a valuable tool for visibility analysis allowing analysts to answer complex questions more efficiently and objectively.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1552, "image_height": 900, "name": "ortner-2016-visaware-teaser.png", "type": "image/png", "size": 348718, "path": "Publication:ortner-2016-visaware", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-visaware/ortner-2016-visaware-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-visaware/ortner-2016-visaware-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1277, 1072, 1387, 205, 451, 166 ], "issn": "1077-2626 ", "journal": "Visualization and Computer Graphics, IEEE Transactions on", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "http://ieeexplore.ieee.org/document/7390069/?arnumber=7390069", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1552, "image_height": 900, "name": "ortner-2016-visaware-teaser.png", "type": "image/png", "size": 348718, "path": "Publication:ortner-2016-visaware", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-visaware/ortner-2016-visaware-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-visaware/ortner-2016-visaware-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-visaware/", "__class": "Publication" }, { "id": "Labschuetz_Matthias_2016_AHD", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "An Adaptive, Hybrid Data Structure for Sparse Volume Data on the GPU", "date": "2016-01", "abstract": "Dealing with large, sparse, volume data on the GPU is a necessity in many applications such as volume rendering, processing or simulation. The limited memory budget of modern GPUs restricts users from uploading large volume data-sets entirely. Fortunately, sparse data, i.e., data containing large empty regions, can be represented more efficiently compared to a common dense array. Our approach makes it possible to upload a full data set even if the original volume does not fit on the GPU.\r\n\r\nIn previous work, a variety of sparse data structures have been utilized on the GPU, each with different properties. Tree representations, such as the octree, kd tree or N3 tree, provide a hierarchical solution for data sets of relatively low sparsity. For data sets of medium sparsity,\r\nspatial hashing makes more efficient access and storage possible. Extremely sparse data can be efficiently represented and accessed via binary search in sorted voxel lists.\r\n\r\nOur observation is, that data sets often contain regions of different sparsity. Depending on the sparsity of a region, a specific data structure (e.g., an octree, a voxel list) requires the least memory to store the data. We formulate an algorithm that is able to automatically find this\r\nmemory-optimal representation. By using such a combination of different data structures, we achieve an even better representation than any single data structure for real world data sets. We\r\ncall such a data structure a hybrid data structure.\r\n\r\nAny sparse data structure introduces an access overhead. For example, the access to an octree requires one additional indirection per height level of the tree. A voxel list has to be\r\nsearched to retrieve a specific element. By using a hybrid data structure, we also introduce an\r\naccess overhead on top of the overhead that comes from using a sparse data structure. In our work we introduce JiTTree, which utilizes a data aware just-in-time compilation step to improve\r\nthe access performance of our hybrid data structure.\r\n\r\nWe show that the implementation of our hybrid data structure effectively reduces the memory\r\nrequirement of sparse data sets. JiTTree can improve the performance of hybrid bricking for\r\ncertain access patterns such as stencil accesses.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1027, "image_height": 853, "name": "Labschuetz_Matthias_2016_AHD-Image.png", "type": "image/png", "size": 418864, "path": "Publication:Labschuetz_Matthias_2016_AHD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 840 ], "supervisor": [ 166, 488 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1027, "image_height": 853, "name": "Labschuetz_Matthias_2016_AHD-Image.png", "type": "image/png", "size": 418864, "path": "Publication:Labschuetz_Matthias_2016_AHD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Image:thumb{{size}}.png" }, { "description": "", "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Labschuetz_Matthias_2016_AHD-Poster.pdf", "type": "application/pdf", "size": 1521142, "path": "Publication:Labschuetz_Matthias_2016_AHD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Poster:thumb{{size}}.png" }, { "description": "", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Labschuetz_Matthias_2016_AHD-Thesis.pdf", "type": "application/pdf", "size": 15886933, "path": "Publication:Labschuetz_Matthias_2016_AHD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/", "__class": "Publication" }, { "id": "Labschuetz_Matthias_2016_JITT", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "JiTTree: A Just-in-Time Compiled Sparse GPU Volume Data Structure", "date": "2016-01", "abstract": "Sparse volume data structures enable the efficient representation of large but sparse volumes in GPU memory for computation\r\nand visualization. However, the choice of a specific data structure for a given data set depends on several factors, such as\r\nthe memory budget, the sparsity of the data, and data access patterns. In general, there is no single optimal sparse data structure,\r\nbut a set of several candidates with individual strengths and drawbacks. One solution to this problem are hybrid data structures which\r\nlocally adapt themselves to the sparsity. However, they typically suffer from increased traversal overhead which limits their utility in\r\nmany applications. This paper presents JiTTree, a novel sparse hybrid volume data structure that uses just-in-time compilation to\r\novercome these problems. By combining multiple sparse data structures and reducing traversal overhead we leverage their individual\r\nadvantages. We demonstrate that hybrid data structures adapt well to a large range of data sets. They are especially superior to\r\nother sparse data structures for data sets that locally vary in sparsity. Possible optimization criteria are memory, performance and\r\na combination thereof. Through just-in-time (JIT) compilation, JiTTree reduces the traversal overhead of the resulting optimal data\r\nstructure. As a result, our hybrid volume data structure enables efficient computations on the GPU, while being superior in terms of\r\nmemory usage when compared to non-hybrid data structures.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 840, 161, 166, 226, 488 ], "date_from": "2015-10-25", "date_to": "2015-10-30", "event": "IEEE SciVis 2015", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 840 ], "location": "Chicago, IL, USA", "note": "Published in January 2016", "number": "1", "pages_from": "1025", "pages_to": "1034", "volume": "22", "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2015.2467331", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_JITT/", "__class": "Publication" }, { "id": "sorger-2015-litevis", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "LiteVis: Integrated Visualization for Simulation-Based Decision Support in Lighting Design", "date": "2016-01", "abstract": "State-of-the-art lighting design is based on physically accurate lighting simulations of scenes such as offices. The simulation results support lighting designers in the creation of lighting configurations, which must meet contradicting customer objectives regarding quality and price while conforming to industry standards. However, current tools for lighting design impede rapid feedback cycles. On the one side, they decouple analysis and simulation specification. On the other side, they lack capabilities for a detailed comparison of multiple configurations. The primary contribution of this paper is a design study of LiteVis, a system for efficient decision support in lighting design. LiteVis tightly integrates global illumination-based lighting simulation, a spatial representation of the scene, and non-spatial visualizations of parameters and result indicators. This enables an efficient iterative cycle of simulation parametrization and analysis. Specifically, a novel visualization supports decision making by ranking simulated lighting configurations with regard to a weight-based prioritization of objectives that considers both spatial and non-spatial characteristics. In the spatial domain, novel concepts support a detailed comparison of illumination scenarios. We demonstrate LiteVis using a real-world use case and report qualitative feedback of lighting designers. This feedback indicates that LiteVis successfully supports lighting designers to achieve key tasks more efficiently and with greater certainty.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "thumb", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1860, "image_height": 1516, "name": "sorger-2015-litevis-thumb.png", "type": "image/png", "size": 253297, "path": "Publication:sorger-2015-litevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-thumb.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-thumb:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1072, 1277, 659, 678, 166, 451 ], "event": "IEEE Vis", "issn": "1077-2626 ", "journal": "Visualization and Computer Graphics, IEEE Transactions on", "lecturer": [ 1072 ], "location": "Chicago", "number": "1", "pages_from": "290", "pages_to": "299", "volume": "22", "research_areas": [ "InfoVis", "Rendering" ], "keywords": [ "Integrating Spatial and Non-Spatial Data" ], "weblinks": [ { "href": "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7192703&tag=1", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "30sec preview", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "sorger-2015-litevis-30sec preview.mp4", "type": "video/mp4", "size": 20482898, "path": "Publication:sorger-2015-litevis", "preview_name": "sorger-2015-litevis-30sec preview:preview.png", "preview_type": "image/jpeg", "preview_size": 77105, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-30sec preview.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-30sec preview:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-30sec preview:video.mp4" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "sorger-2015-litevis-paper.pdf", "type": "application/pdf", "size": 14633562, "path": "Publication:sorger-2015-litevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-paper:thumb{{size}}.png" }, { "description": "two components of the LiteVis interface, left: the Simulation View, right: ranking of lighting solutions in the Analysis View", "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2934, "image_height": 1048, "name": "sorger-2015-litevis-teaser.png", "type": "image/png", "size": 367321, "path": "Publication:sorger-2015-litevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thumb", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1860, "image_height": 1516, "name": "sorger-2015-litevis-thumb.png", "type": "image/png", "size": 253297, "path": "Publication:sorger-2015-litevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-thumb.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-thumb:thumb{{size}}.png" }, { "description": null, "filetitle": "video demonstration", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1120, "preview_image_height": 630, "name": "sorger-2015-litevis-video demonstration.mp4", "type": "video/mp4", "size": 58980955, "path": "Publication:sorger-2015-litevis", "preview_name": "sorger-2015-litevis-video demonstration:preview.png", "preview_type": "image/jpeg", "preview_size": 52277, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-video demonstration.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-video demonstration:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-video demonstration:video.mp4" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/", "__class": "Publication" }, { "id": "Viola_Ivan_2015_AAM", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "AnimoAminoMiner: Exploration of Protein Tunnels and their Properties in Molecular Dynamics", "date": "2016-01", "abstract": "In this paper we propose a novel method for the interactive exploration of protein tunnels. The basic principle of our approach is that we entirely abstract from the 3D/4D space the simulated phenomenon is embedded in. A complex 3D structure and its curvature information is represented only by a straightened tunnel centerline and its width profile. This representation focuses on a key aspect of the studied geometry and frees up graphical estate to key chemical and physical properties represented by surrounding amino acids. The method shows the detailed tunnel profile and its temporal aggregation. The profile is interactively linked with a visual overview of all amino acids which are lining the tunnel over time. In this overview, each amino acid is represented by a set of colored lines depicting the spatial and temporal impact of the amino acid on the corresponding tunnel. This representation clearly shows the importance of amino acids with respect to selected criteria. It helps the biochemists to select the candidate amino acids for mutation which changes the protein function in a desired way. The AnimoAminoMiner was designed in close cooperation with domain experts. Its usefulness is documented by their feedback and a case study, which are included.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1576, "image_height": 609, "name": "Viola_Ivan_2015_AAM-Image.jpg", "type": "image/jpeg", "size": 111989, "path": "Publication:Viola_Ivan_2015_AAM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1254, 1189, 166, 171, 1248 ], "date_from": "2015-10-25", "date_to": "2015-10-30", "event": "IEEE Vis 2015", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1254 ], "location": "Illinois, Chicago, USA", "number": "1", "pages_from": "747", "pages_to": "756", "volume": "22", "research_areas": [ "BioVis" ], "keywords": [ "aggregation", "molecular dynamics", "Protein", "interaction", "tunnel" ], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2015.2467434", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1576, "image_height": 609, "name": "Viola_Ivan_2015_AAM-Image.jpg", "type": "image/jpeg", "size": 111989, "path": "Publication:Viola_Ivan_2015_AAM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_2015_AAM-Paper.pdf", "type": "application/pdf", "size": 1114453, "path": "Publication:Viola_Ivan_2015_AAM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/", "__class": "Publication" }, { "id": "Solteszova2016", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Output-Sensitive Filtering of Streaming Volume Data", "date": "2016", "abstract": "Real-time volume data acquisition poses substantial challenges for the traditional visualization pipeline where data enhancement is typically seen as a pre-processing step. In the case of 4D ultrasound data, for instance, costly processing operations to reduce noise and to remove artefacts need to be executed for every frame. To enable the use of high-quality filtering operations in such scenarios, we propose an output-sensitive approach to the visualization of streaming volume data. Our method evaluates the potential contribution of all voxels to the final image, allowing us to skip expensive processing operations that have little or no effect on the visualization. As filtering operations modify the data values which may affect the visibility, our main contribution is a fast scheme to predict their maximum effect on the final image. Our approach prioritizes filtering of voxels with high contribution to the final visualization based on a maximal permissible error per pixel. With zero permissible error, the optimized filtering will yield a result that is identical to filtering of the entire volume. We provide a thorough technical evaluation of the approach and demonstrate it on several typical scenarios that require on-the-fly processing.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 272, "image_height": 312, "name": "Solteszova2016-image.jpg", "type": "image/jpeg", "size": 15871, "path": "Publication:Solteszova2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1304, 1007, 1370, 171, 161 ], "journal": "Computer Graphics Forum", "volume": "35", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 272, "image_height": 312, "name": "Solteszova2016-image.jpg", "type": "image/jpeg", "size": 15871, "path": "Publication:Solteszova2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Solteszova2016-paper.pdf", "type": "application/pdf", "size": 6192686, "path": "Publication:Solteszova2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/", "__class": "Publication" }, { "id": "vad-2016-bre", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Generalized box-plot for root growth ensembles", "date": "2016", "abstract": "Background In the field of root biology there has been a remarkable progress in root phenotyping, which is the efficient acquisition and quantitative description of root morphology. What is currently missing are means to efficiently explore, exchange and present the massive amount of acquired, and often time dependent root phenotypes. \nResults In this work, we present visual summaries of root ensembles by aggregating root images with identical genetic characteristics. We use the generalized box plot concept with a new formulation of data depth. In addition to spatial distributions, we created a visual representation to encode temporal distributions associated with the development of root individuals.\nConclusions The new formulation of data depth allows for much faster implementation close to interactive frame rates. This allows us to present the statistics from bootstrapping that characterize the root sample set quality. As a positive side effect of the new data-depth formulation we are able to define the geometric median for the curve ensemble, which was well received by the domain experts.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1195, 1408, 1409, 962, 171 ], "journal": "BMC Bioinformatics", "lecturer": [ 1195 ], "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [ { "href": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333180/", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1200, "preview_image_height": 900, "name": "vad-2016-bre-paper.pdf", "type": "application/pdf", "size": 2416818, "path": "Publication:vad-2016-bre", "preview_name": "vad-2016-bre-paper:preview.png", "preview_type": "image/png", "preview_size": 174658, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/vad-2016-bre-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/vad-2016-bre-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "vad-2016-bre-Video.mp4", "type": "video/mp4", "size": 7077690, "path": "Publication:vad-2016-bre", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/vad-2016-bre-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/vad-2016-bre-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/vad-2016-bre-Video:video.mp4" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/", "__class": "Publication" }, { "id": "viola-evr", "type_id": "habilthesis", "tu_id": null, "repositum_id": null, "title": "Effective Visual Representations", "date": "2016", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 728, "image_height": 612, "name": "viola-evr-image.jpg", "type": "image/jpeg", "size": 43401, "path": "Publication:viola-evr", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171 ], "research_areas": [ "IllVis", "Perception" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 728, "image_height": 612, "name": "viola-evr-image.jpg", "type": "image/jpeg", "size": 43401, "path": "Publication:viola-evr", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "viola-evr-thesis.pdf", "type": "application/pdf", "size": 35963729, "path": "Publication:viola-evr", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/", "__class": "Publication" }, { "id": "ilcik-2016-cmssg", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Collaborative Modeling with Symbolic Shape Grammars", "date": "2016", "abstract": "Generative design based on symbolic grammars is oriented on individual artists. Team work is not supported since single scripts produced by various artists have to be linked and maintained manually with a lot of effort. The main motivation for a collaborative modeling framework was to reduce the script management required for large projects. We achieved even more by extending the design paradigm to a cloud environment where everyone is part of a huge virtual team. The main contribution of the presented work is a web-based modeling system with a specialized variant of a symbolic shape grammar.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Four variations of an office.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3816, "image_height": 2753, "name": "ilcik-2016-cmssg-image.png", "type": "image/png", "size": 3426115, "path": "Publication:ilcik-2016-cmssg", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cmssg/ilcik-2016-cmssg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cmssg/ilcik-2016-cmssg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1303, 193 ], "booktitle": "Proceedings of eCAADe 2016", "date_from": "2016-08-22", "date_to": "2016-08-26", "lecturer": [ 1303 ], "location": "Oulu, Finland", "pages_from": "417", "pages_to": "426", "research_areas": [ "Modeling" ], "keywords": [ "collaboration, procedural modeling, procedural modeling" ], "weblinks": [ { "href": "http://papers.cumincad.org/cgi-bin/works/Show?ecaade2016_185", "caption": "paper", "description": null, "main_file": 0 }, { "href": "https://www.youtube.com/watch?v=nqd7p8mKzJM", "caption": "video", "description": null, "main_file": 0 } ], "files": [ { "description": "Four variations of an office.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3816, "image_height": 2753, "name": "ilcik-2016-cmssg-image.png", "type": "image/png", "size": 3426115, "path": "Publication:ilcik-2016-cmssg", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cmssg/ilcik-2016-cmssg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cmssg/ilcik-2016-cmssg-image:thumb{{size}}.png" } ], "projects_workgroups": [ "PAMINA" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cmssg/", "__class": "Publication" }, { "id": "intel2016", "type_id": "talk", "tu_id": 253112, "repositum_id": null, "title": "Real-time Subsurface Scattering, Light Transport and Two Minute Papers", "date": "2016", "abstract": "Károly Zsolnai-Fehér is a PhD student at the Technical University of Vienna.\n\nHe is going to talk about Separable Subsurface Scattering, his recent collaboration with Activision Blizzard and the University of Zaragoza to render subsurface scattering in real time on the GPU for computer games.\n\nNext, he'll transition to global illumination and explain a a simple extension to Metropolis Light Transport to improve the convergence speed on a variety of scenes.\n\nThe third part will be about Two Minute Papers, a YouTube web series that he started recently to communicate the most beautiful research results to a general audience.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1072, "image_height": 577, "name": "intel2016-.jpg", "type": "image/jpeg", "size": 40026, "path": "Publication:intel2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/intel2016/intel2016-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/intel2016/intel2016-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1073 ], "date_from": "2016-01-16", "event": "Intel Graphics Architecture Forum", "location": "Intel Advanced Rendering Technology group", "research_areas": [ "Rendering" ], "keywords": [ "global illumination", "light transport", "subsurface scattering", "two minute papers" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1072, "image_height": 577, "name": "intel2016-.jpg", "type": "image/jpeg", "size": 40026, "path": "Publication:intel2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/intel2016/intel2016-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/intel2016/intel2016-:thumb{{size}}.png" } ], "projects_workgroups": [ "Mofa" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/intel2016/", "__class": "Publication" }, { "id": "kendlbacher-2016", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Introduction Of OpenStreetMap For The Automatic Generation Of Destination Maps", "date": "2016", "abstract": "A destination map allows all travelers, within the given region of interest, to reach\nthe same destination, no matter where exactly they start their journey at. For this\npurpose the important roads for traversing the road network are chosen, while the\nnon-important roads are removed for clarity. These selected roads are then simplified\nto reduce unnecessary complexity, while maintaining the structure of the road network.\nThe chosen data is then tweaked to increase the visibility of the small roads. During this\nprocess the layout is iteratively changed and evaluated according to certain aspects, and\nif a newly proposed layout performs better than the old one, that new one forms the basis\nfor all future changes. In this work a method for automatically creating destination maps\nis implemented based on the algorithm proposed in the paper by Kopf et al. [KAB+10],\nwith efforts made to improve the original work.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Overview", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1759, "image_height": 976, "name": "kendlbacher-2016-image.png", "type": "image/png", "size": 389202, "path": "Publication:kendlbacher-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1274 ], "co_supervisor": [ 836 ], "date_end": "2016", "date_start": "2015", "matrikelnr": "1128051", "supervisor": [ 193 ], "research_areas": [ "Modeling", "Rendering" ], "keywords": [ "Destination Maps", "OpenStreetMap" ], "weblinks": [], "files": [ { "description": "Overview", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1759, "image_height": 976, "name": "kendlbacher-2016-image.png", "type": "image/png", "size": 389202, "path": "Publication:kendlbacher-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-image:thumb{{size}}.png" }, { "description": "Thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kendlbacher-2016-thesis.pdf", "type": "application/pdf", "size": 7646019, "path": "Publication:kendlbacher-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/", "__class": "Publication" }, { "id": "kreuzer-2016-isf", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Interactive Sketching of Floorplans", "date": "2016", "abstract": "Traditional CAD tools for architects offer a vast variety of drawing utilities to design buildings. It is up to the architect to maintain structural constraints such as beams and room-accessibility. \n\nThe main purpose of this internship was to design and implement an architectural CAD tool which automatically optimizes the building layout, based on constraints derived from architectural bestpractice concepts. The toolkit offers a user interface, where drawing and editing can be performed and a backend interface, where optimization algorithms i.e. constraint solvers can be implemented. \n ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1046 ], "date_end": "2016-11-02", "date_start": "2014-10-01", "matrikelnr": "0827433", "supervisor": [ 844, 193 ], "research_areas": [ "Modeling" ], "keywords": [ "interactive modeling", "architectural modeling" ], "weblinks": [], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 962, "image_height": 701, "name": "kreuzer-2016-isf-image.png", "type": "image/png", "size": 89878, "path": "Publication:kreuzer-2016-isf", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kreuzer-2016-isf/kreuzer-2016-isf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/kreuzer-2016-isf/kreuzer-2016-isf-image:thumb{{size}}.png" }, { "description": "report", "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kreuzer-2016-isf-report.pdf", "type": "application/pdf", "size": 145043, "path": "Publication:kreuzer-2016-isf", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kreuzer-2016-isf/kreuzer-2016-isf-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/kreuzer-2016-isf/kreuzer-2016-isf-report:thumb{{size}}.png" } ], "projects_workgroups": [ "PAMINA" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kreuzer-2016-isf/", "__class": "Publication" }, { "id": "Krone2016VABC", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visual Analysis of Biomolecular Cavities: State of the Art", "date": "2016", "abstract": "In this report we review and structure the branch of molecular visualization that is concerned with the visual analysis of cavities in macromolecular protein structures. First the necessary background, the domain terminology, and the goals of analytical reasoning are introduced. Based on a comprehensive collection of relevant research works, we present a novel classification for cavity detection approaches and structure them into four distinct classes: grid-based, Voronoi-based, surface-based, and probe-based methods. The subclasses are then formed by their combinations. We match these approaches with corresponding visualization technologies starting with direct 3D visualization, followed with non-spatial visualization techniques that for example abstract the interactions between structures into a relational graph, straighten the cavity of interest to see its profile in one view, or aggregate the time sequence into a single contour plot. We also discuss the current state of methods for the visual analysis of cavities in dynamic data such as molecular dynamics simulations. Finally, we give an overview of the most common tools that are actively developed and used in the structural biology and biochemistry research. Our report is concluded by an outlook on future challenges in the field.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1754, "image_height": 1188, "name": "Krone2016VABC-image.jpg", "type": "image/jpeg", "size": 131835, "path": "Publication:Krone2016VABC", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1249, 1248, 1250, 1252, 1253, 1143, 1026, 171 ], "journal": "Computer Graphics Forum", "lecturer": [ 1249 ], "location": "Gronningen, The Netherlands", "number": "3", "pages_from": "527", "pages_to": "551", "volume": "35", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12928/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1754, "image_height": 1188, "name": "Krone2016VABC-image.jpg", "type": "image/jpeg", "size": 131835, "path": "Publication:Krone2016VABC", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Krone2016VABC-paper.pdf", "type": "application/pdf", "size": 26594142, "path": "Publication:Krone2016VABC", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/", "__class": "Publication" }, { "id": "leimer-2016-coan", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Co-Analysis and Parameterization of 3D Shape Collections for Shape Synthesis", "date": "2016", "abstract": "With online model repositories growing larger every day, both experienced and inexperienced modelers are presented with new possibilities for content creation. One such possibility is the creation of new shapes by combining parts of already existing shapes. The advantages of this shape synthesis method are that it takes less time than traditional modeling approaches and that it can be used even by inexperienced users. This thesis introduces a framework for this type of shape synthesis that consists of four stages, incorporating a new way for parameterization and exploration of shape collections. Using a modular and extensible approach, the co-analysis stage groups parts of shapes into categories based on their function, creating a correspondence between parts of different shapes. By analyzing relations between pairs of parts and how their spatial arrangements vary across the collection, a small number of parameters is found in the parameterization stage. Starting with an initial shape, these parameters can then be used to browse the collection in the exploration stage, either by altering the parameters directly or by interacting with the shape itself. Finally, in the synthesis stage a new shape can be created by exchanging parts of the initial shape with corresponding parts of the shapes found during the exploration.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 581, "image_height": 342, "name": "leimer-2016-coan-image.png", "type": "image/png", "size": 174845, "path": "Publication:leimer-2016-coan", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1019 ], "date_end": "2016-02-29", "date_start": "2015-01-30", "matrikelnr": "0825842", "supervisor": [ 844 ], "research_areas": [ "Modeling" ], "keywords": [ "computer graphics", "3D shape segmentation", "3D shape co-analysis", "3D shape processing" ], "weblinks": [], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 581, "image_height": 342, "name": "leimer-2016-coan-image.png", "type": "image/png", "size": 174845, "path": "Publication:leimer-2016-coan", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-image:thumb{{size}}.png" }, { "description": "poster", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2016-coan-poster.pdf", "type": "application/pdf", "size": 2311490, "path": "Publication:leimer-2016-coan", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-poster:thumb{{size}}.png" }, { "description": "thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2016-coan-thesis.pdf", "type": "application/pdf", "size": 23133043, "path": "Publication:leimer-2016-coan", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/", "__class": "Publication" }, { "id": "lemuzic-mindek-2016-viseq", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visibility Equalizer: Cutaway Visualization of Mesoscopic Biological Models", "date": "2016", "abstract": "In scientific illustrations and visualization, cutaway views are often employed as an effective technique for occlusion management in densely packed scenes.We propose a novel method for authoring cutaway illustrations of mesoscopic biological models. In contrast to the existing cutaway algorithms, we take advantage of the specific nature of the biological models. These models consist of thousands of instances with a comparably smaller number of different types. Our method constitutes a two stage process. In the first step, clipping objects are placed in the scene, creating a cutaway visualization of the model. During this process, a hierarchical list of stacked bars inform the user about the instance visibility distribution of each individual molecular type in the scene. In the second step, the visibility of each molecular type is fine-tuned through these bars, which at this point act as interactive visibility equalizers. An evaluation of our technique with domain experts confirmed that our equalizer-based approach for visibility specification is valuable and effective for both, scientific and educational purposes.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 742, "image_height": 663, "name": "lemuzic-mindek-2016-viseq-Preview.png", "type": "image/png", "size": 858868, "path": "Publication:lemuzic-mindek-2016-viseq", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Preview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Preview:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1189, 935, 1072, 1260, 1365, 171 ], "date_from": "2016-06-06", "date_to": "2016-06-10", "event": "EuroVis 2016", "journal": "Computer Graphics Forum", "lecturer": [ 935 ], "location": "Groningen, Netherlands", "number": "3", "volume": "35", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "molecular visualization", "visibility", "occlusion" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "lemuzic-mindek-2016-viseq-Paper.pdf", "type": "application/pdf", "size": 3971312, "path": "Publication:lemuzic-mindek-2016-viseq", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 742, "image_height": 663, "name": "lemuzic-mindek-2016-viseq-Preview.png", "type": "image/png", "size": 858868, "path": "Publication:lemuzic-mindek-2016-viseq", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Preview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Preview:thumb{{size}}.png" }, { "description": null, "filetitle": "Slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "lemuzic-mindek-2016-viseq-Slides.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 140149203, "path": "Publication:lemuzic-mindek-2016-viseq", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Slides.pptx", "thumb_image_sizes": [] } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/", "__class": "Publication" }, { "id": "malan_fluoro", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "A fluoroscopy-based planning and guidance software tool for minimally invasive hip refixation by cement injection.", "date": "2016", "abstract": "PURPOSE:\nIn orthopaedics, minimally invasive injection of bone cement is an established technique. We present HipRFX, a software tool for planning and guiding a cement injection procedure for stabilizing a loosening hip prosthesis. HipRFX works by analysing a pre-operative CT and intraoperative C-arm fluoroscopic images.\nMETHODS:\nHipRFX simulates the intraoperative fluoroscopic views that a surgeon would see on a display panel. Structures are rendered by modelling their X-ray attenuation. These are then compared to actual fluoroscopic images which allow cement volumes to be estimated. Five human cadaver legs were used to validate the software in conjunction with real percutaneous cement injection into artificially created periprothetic lesions.\nRESULTS:\nBased on intraoperatively obtained fluoroscopic images, our software was able to estimate the cement volume that reached the pre-operatively planned targets. The actual median target lesion volume was 3.58 ml (range 3.17-4.64 ml). The median error in computed cement filling, as a percentage of target volume, was 5.3% (range 2.2-14.8%). Cement filling was between 17.6 and 55.4% (median 51.8%).\nCONCLUSIONS:\nAs a proof of concept, HipRFX was capable of simulating intraoperative fluoroscopic C-arm images. Furthermore, it provided estimates of the fraction of injected cement deposited at its intended target location, as opposed to cement that leaked away. This level of knowledge is usually unavailable to the surgeon viewing a fluoroscopic image and may aid in evaluating the success of a percutaneous cement injection intervention.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1437, 1438, 1410, 1439, 1440, 1441, 1442, 1443 ], "journal": "International journal of computer assisted radiology and surgery,", "number": "2", "pages_from": "281", "pages_to": "296", "volume": "11", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [ { "href": "https://www.ncbi.nlm.nih.gov/pubmed/26259554", "caption": "Paper can be accessed here", "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/malan_fluoro/", "__class": "Publication" }, { "id": "miao_2016_cgf", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Visual Quantification of the Circle of Willis: An Automated Identification and Standardized Representation", "date": "2016", "abstract": "This paper presents a method for the visual quantification of cerebral arteries, known as the Circle of Willis (CoW). It is an arterial structure with the responsibility of supplying the brain with blood, however, dysfunctions can lead to strokes. The diagnosis of such a time-critical/urgent event depends on the expertise of radiologists and the applied software tools. They use basic display methods of the volumetric data without any support of advanced image processing and visualization techniques. The goal of this paper is to present an automated method for the standardized description of cerebral arteries in stroke patients in order to provide an overview of the CoW's configuration. This novel representation provides visual indications of problematic areas as well as straightforward comparisons between multiple patients. Additionally, we offer a pipeline for extracting the CoW from Time-of-Flight Magnetic Resonance Angiography (TOF-MRA) data sets together with an enumeration technique for labelling the arterial segments by detecting the main supplying arteries of the CoW. We evaluated the feasibility of our visual quantification approach in a study of 63 TOF-MRA data sets and compared our findings to those of three radiologists. The obtained results demonstrate that our proposed techniques are effective in detecting the arteries and visually capturing the overall configuration of the CoW.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1900, "image_height": 1842, "name": "miao_2016_cgf-image.png", "type": "image/png", "size": 271848, "path": "Publication:miao_2016_cgf", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/miao_2016_cgf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/miao_2016_cgf-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263, 869, 1264, 166 ], "issn": "1467-8659", "journal": "Computer Graphics Forum", "research_areas": [ "InfoVis", "MedVis" ], "keywords": [ "Circle of Willis", "medical visualization", "information visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1900, "image_height": 1842, "name": "miao_2016_cgf-image.png", "type": "image/png", "size": 271848, "path": "Publication:miao_2016_cgf", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/miao_2016_cgf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/miao_2016_cgf-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "miao_2016_cgf-paper.pdf", "type": "application/pdf", "size": 5537482, "path": "Publication:miao_2016_cgf", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/miao_2016_cgf-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/miao_2016_cgf-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/", "__class": "Publication" }, { "id": "moerth_eric-2016-3DF", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "3D-Printing of Fetal Ultrasound", "date": "2016", "abstract": "The 3D ultrasound in prenatal diagnostics is nowadays a standard investigation in the\nfield of medical informatics. The acquired data can be used in lots of different applications.\nOne of them is to fabricate the fetus model using a 3D printer. The problem here is to\nconvert the given volume data into a structure that can be printed. Current generation\nof 3D printers expect as an input objects defined by closed surfaces. This work handles\nthe problem of how to calculate such surfaces. Our solution relies on the marching cubes\nalgorithm that extracts the surface out of the volume data. The extracted surface is then\nrefined. The last processing step is to save the data into an suitable data format. The\nresults demonstrate that it is possible to print the fetus model from the 3D ultrasound\ndata and that people are able to perceive the face of the fetus in the fabricated objects.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1345 ], "date_end": "2016", "date_start": "2016", "duration": "8 months", "matrikelnr": "1325306", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [ { "href": "https://www.cg.tuwien.ac.at/courses/projekte/3d-printing-fetal-ultrasound", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "moerth_eric-2016-3DF-thesis.pdf", "type": "application/x-download", "size": 17060361, "path": "Publication:moerth_eric-2016-3DF", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/moerth_eric-2016-3DF/moerth_eric-2016-3DF-thesis.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/moerth_eric-2016-3DF/", "__class": "Publication" }, { "id": "musialski_2016_sosp", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Non-Linear Shape Optimization Using Local Subspace Projections", "date": "2016", "abstract": "In this paper we present a novel method for non-linear shape optimization of 3d objects given by their surface representation. Our method takes advantage of the fact that various shape properties of interest give rise to underdetermined design spaces implying the existence of many good solutions. Our algorithm exploits this by performing iterative projections of the problem to local subspaces where it can be solved much more efficiently using standard numerical routines.\n\nWe demonstrate how this approach can be utilized for various shape optimization tasks using different shape parameterizations. In particular, we show how to efficiently optimize natural frequencies, mass properties, as well as the structural yield strength of a solid body. Our method is flexible, easy to implement, and very fast.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1774, "image_height": 1024, "name": "musialski_2016_sosp-image.png", "type": "image/png", "size": 1030436, "path": "Publication:musialski_2016_sosp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844, 1090, 1063, 836, 193, 1243 ], "date_from": "2016-07-24", "date_to": "2016-07-28", "doi": "10.1145/2897824.2925886", "event": "ACM SIGGRAPH 2016", "issn": "0730-0301", "journal": "ACM Transactions on Graphics", "lecturer": [ 844, 1090 ], "location": "Anaheim, CA, USA", "number": "4", "pages_from": "87:1", "pages_to": "87:13", "volume": "35", "research_areas": [ "Fabrication", "Geometry" ], "keywords": [], "weblinks": [ { "href": "http://doi.acm.org/10.1145/2897824.2925886", "caption": "doi", "description": null, "main_file": 0 } ], "files": [ { "description": "MATLAB demo code of subspace projection", "filetitle": "code", "main_file": false, "use_in_gallery": false, "access": "public", "name": "musialski_2016_sosp-code.zip", "type": "application/octet-stream", "size": 2180501, "path": "Publication:musialski_2016_sosp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-code.zip", "thumb_image_sizes": [] }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1774, "image_height": 1024, "name": "musialski_2016_sosp-image.png", "type": "image/png", "size": 1030436, "path": "Publication:musialski_2016_sosp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-image:thumb{{size}}.png" }, { "description": "paper, full resolution", "filetitle": "paper_25MB", "main_file": false, "use_in_gallery": false, "access": "public", "name": "musialski_2016_sosp-paper_25MB.pdf", "type": "application/pdf", "size": 27147489, "path": "Publication:musialski_2016_sosp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-paper_25MB.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-paper_25MB:thumb{{size}}.png" }, { "description": "paper, low resolution", "filetitle": "paper_3MB", "main_file": true, "use_in_gallery": false, "access": "public", "name": "musialski_2016_sosp-paper_3MB.pdf", "type": "application/pdf", "size": 2640714, "path": "Publication:musialski_2016_sosp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-paper_3MB.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-paper_3MB:thumb{{size}}.png" }, { "description": "[150 KB]", "filetitle": "supplemental", "main_file": true, "use_in_gallery": false, "access": "public", "name": "musialski_2016_sosp-supplemental.pdf", "type": "application/pdf", "size": 154825, "path": "Publication:musialski_2016_sosp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-supplemental.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-supplemental:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/", "__class": "Publication" }, { "id": "ohrhallinger-2016-sgp", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Curve Reconstruction with Many Fewer Samples", "date": "2016", "abstract": "We consider the problem of sampling points from a collection of smooth curves in the plane, such that the Crust family of proximity-based reconstruction algorithms can rebuild the curves. Reconstruction requires a dense sampling of local features, i.e., parts of the curve that are close in Euclidean distance but far apart geodesically.\nWe show that epsilon<0.47-sampling is sufficient for our proposed HNN-CRUST variant, improving upon the \nstate-of-the-art requirement of epsilon<1/3-sampling.\nThus we may reconstruct curves with many fewer samples.\nWe also present a new sampling scheme that reduces the required density even further than epsilon<0.47-sampling.\nWe achieve this by better controlling the spacing between geodesically consecutive points.\nOur novel sampling condition is based on the reach, the minimum local feature size along intervals between samples.\nThis is mathematically closer to the reconstruction density requirements, particularly near sharp-angled features.\nWe prove lower and upper bounds on reach rho-sampling density in terms of lfs epsilon-sampling and demonstrate that we typically reduce the required number of samples for reconstruction by more than half.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2000, "image_height": 1200, "name": "ohrhallinger-2016-sgp-image.png", "type": "image/png", "size": 54228, "path": "Publication:ohrhallinger-2016-sgp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948, 1363, 193 ], "date_from": "2016-06-20", "date_to": "2016-06-24", "event": "Symposium on Geometry Processing", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 948 ], "location": "Berlin, Germany", "number": "5", "pages_from": "167", "pages_to": "176", "volume": "35", "research_areas": [ "Geometry" ], "keywords": [ "sampling condition", "curve reconstruction", "curve sampling" ], "weblinks": [ { "href": "https://github.com/stefango74/hnn-crust-sgp16", "caption": "Reproducibility Source Code", "description": "This git repository contains all source code and instructions to reproduce the relevant figures and tables of the paper on an Ubuntu 16.04LTS system.", "main_file": 1 }, { "href": "http://dx.doi.org/10.1111/cgf.12973", "caption": "doi", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2000, "image_height": 1200, "name": "ohrhallinger-2016-sgp-image.png", "type": "image/png", "size": 54228, "path": "Publication:ohrhallinger-2016-sgp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger-2016-sgp-paper.pdf", "type": "application/pdf", "size": 969324, "path": "Publication:ohrhallinger-2016-sgp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-paper:thumb{{size}}.png" }, { "description": "slides", "filetitle": "slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger-2016-sgp-slides.pdf", "type": "application/pdf", "size": 6164109, "path": "Publication:ohrhallinger-2016-sgp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-slides:thumb{{size}}.png" } ], "projects_workgroups": [ "Harvest4D", "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/", "__class": "Publication" }, { "id": "raidou_eurovis16", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visual Analysis of Tumor Control Models for Prediction of Radiotherapy Response.", "date": "2016", "abstract": "In radiotherapy, tumors are irradiated with a high dose, while surrounding healthy tissues are spared. To quantify the prob-ability that a tumor is effectively treated with a given dose, statistical models were built and employed in clinical research.These are called tumor control probability (TCP) models. Recently, TCP models started incorporating additional informationfrom imaging modalities. In this way, patient-specific properties of tumor tissues are included, improving the radiobiologicalaccuracy of models. Yet, the employed imaging modalities are subject to uncertainties with significant impact on the modelingoutcome, while the models are sensitive to a number of parameter assumptions. Currently, uncertainty and parameter sensitivityare not incorporated in the analysis, due to time and resource constraints. To this end, we propose a visual tool that enablesclinical researchers working on TCP modeling, to explore the information provided by their models, to discover new knowledgeand to confirm or generate hypotheses within their data. Our approach incorporates the following four main components: (1)It supports the exploration of uncertainty and its effect on TCP models; (2) It facilitates parameter sensitivity analysis to com-mon assumptions; (3) It enables the identification of inter-patient response variability; (4) It allows starting the analysis fromthe desired treatment outcome, to identify treatment strategies that achieve it. We conducted an evaluation with nine clinicalresearchers. All participants agreed that the proposed visual tool provides better understanding and new opportunities for theexploration and analysis of TCP modeling.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_eurovis16-.pdf", "type": "application/pdf", "size": 2982085, "path": "Publication:raidou_eurovis16", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410, 1444, 1445, 1446, 1447, 679, 459 ], "journal": "EuroVis - Eurographics/IEEE-VGTC Symposium on Visualization 2016", "lecturer": [ 1448, 1449, 652 ], "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_eurovis16-.pdf", "type": "application/pdf", "size": 2982085, "path": "Publication:raidou_eurovis16", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-:thumb{{size}}.png" }, { "description": null, "filetitle": "demo", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_eurovis16-demo.mp4", "type": "video/mp4", "size": 43216314, "path": "Publication:raidou_eurovis16", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-demo.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-demo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-demo:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/", "__class": "Publication" }, { "id": "raidou_miccai16", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers.", "date": "2016", "abstract": "Accurate segmentation of brain white matter hyperintensi-ties (WMHs) is important for prognosis and disease monitoring. To thisend, classi\fers are often trained { usually, using T1 and FLAIR weightedMR images. Incorporating additional features, derived from di\u000busionweighted MRI, could improve classi\fcation. However, the multitude ofdi\u000busion-derived features requires selecting the most adequate. For this,automated feature selection is commonly employed, which can often besub-optimal. In this work, we propose a di\u000berent approach, introducing asemi-automated pipeline to select interactively features for WMH classi\f-cation. The advantage of this solution is the integration of the knowledgeand skills of experts in the process. In our pipeline, a Visual Analytics(VA) system is employed, to enable user-driven feature selection. Theresulting features are T1, FLAIR, Mean Di\u000busivity (MD), and RadialDi\u000busivity (RD) { and secondarily,CSand Fractional Anisotropy (FA).The next step in the pipeline is to train a classi\fer with these features,and compare its results to a similar classi\fer, used in previous work withautomated feature selection. Finally, VA is employed again, to analyzeand understand the classi\fer performance and results.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410, 1433, 1434, 1435, 1436, 679, 459 ], "journal": "Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)", "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "demo", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_miccai16-demo.mp4", "type": "video/mp4", "size": 40385545, "path": "Publication:raidou_miccai16", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_miccai16/raidou_miccai16-demo.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_miccai16/raidou_miccai16-demo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_miccai16/raidou_miccai16-demo:video.mp4" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_miccai16-paper.pdf", "type": "application/pdf", "size": 927133, "path": "Publication:raidou_miccai16", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_miccai16/raidou_miccai16-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_miccai16/raidou_miccai16-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_miccai16/", "__class": "Publication" }, { "id": "Reichinger_Fuhrmann_2016", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "A Concept for Re-Useable Interactive Tactile Reliefs", "date": "2016", "abstract": "We introduce a concept for a relief-printer, a novel production method for tactile reliefs, that allows to reproduce bas-reliefs of several centimeters height difference. In contrast to available methods, this printer will have a much smaller preparation time, and does not consume material nor produce waste, since it is based on a re-usable medium, suitable for temporary printouts. Second, we sketch a concept for the autonomous, interactive exploration of tactile reliefs, in the form of a gesture-controlled audio guide, based on recent depth cameras. Especially the combination of both approaches promises rapid tactile accessibility to 2.5D spatial information in a home or education setting, to on-line resources, or as a kiosk installation in museums.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 335, "image_height": 156, "name": "Reichinger_Fuhrmann_2016-image.jpg", "type": "image/jpeg", "size": 10288, "path": "Publication:Reichinger_Fuhrmann_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 879, 204, 228, 190 ], "booktitle": "A Concept for Re-Useable Interactive Tactile Reliefs", "journal": "ICCHP 2016, Part II", "lecturer": [ 1392 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 335, "image_height": 156, "name": "Reichinger_Fuhrmann_2016-image.jpg", "type": "image/jpeg", "size": 10288, "path": "Publication:Reichinger_Fuhrmann_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reichinger_Fuhrmann_2016-paper.pdf", "type": "application/pdf", "size": 428189, "path": "Publication:Reichinger_Fuhrmann_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/", "__class": "Publication" }, { "id": "Reisacher_Matthias_CPW", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "CellPathway a Simulation Tool for Illustrative Visualization of Biochemical Networks", "date": "2016", "abstract": "The molecular knowledge about complex biochemical reaction networks in biotechnology is crucial and has received a lot of attention lately. As a consequence, multiple visualization programs have been already developed to illustrate the anatomy of a cell. However, since a real cell performs millions of reactions every second to sustain live, it is necessary to move from anatomical to physiological illustrations to communicate knowledge about the behavior of a cell more accurately. In this thesis I propose a reaction system including a collision detection algorithm, which is able to work at the level of single atoms, to enable\nprecise simulation of molecular interactions. To visually explain molecular activities during the simulation process, a real-time glow effect in combination with a clipping object have been implemented. Since intracellular processes are performed with a set of chemical transformations, a hierarchical structure is used to illustrate the impact of one reaction on the entire simulation. The CellPathway system integrates acceleration techniques to render large datasets containing millions of atoms in real-time, while the reaction system is processed directly on the GPU to enable simulation with more than 1000 molecules. Furthermore, a graphical user interface has been implemented to allow the user to control parameters during simulation interactively.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1267 ], "matrikelnr": "1125358", "supervisor": [ 171 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reisacher_Matthias_CPW-Thesis.pdf", "type": "application/pdf", "size": 2772334, "path": "Publication:Reisacher_Matthias_CPW", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher_Matthias_CPW/Reisacher_Matthias_CPW-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher_Matthias_CPW/Reisacher_Matthias_CPW-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher_Matthias_CPW/", "__class": "Publication" }, { "id": "Reisacher2016", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "CellPathway: A Simulation Tool for Illustrative Visualization of Biochemical Networks", "date": "2016", "abstract": "The molecular knowledge about complex biochemical reaction networks in biotechnology is crucial and has received a lot\nof attention lately. As a consequence, multiple visualization programs have been already developed to illustrate the anatomy\nof a cell. However, since a real cell performs millions of reactions every second to sustain live, it is necessary to move from\nanatomical to physiological illustrations to communicate knowledge about the behavior of a cell more accurately. In this thesis I\npropose a reaction system including a collision detection algorithm, which is able to work at the level of single atoms, to enable\nprecise simulation of molecular interactions. To visually explain molecular activities during the simulation process, a real-time\nglow effect in combination with a clipping object have been implemented. Since intracellular processes are performed with a\nset of chemical transformations, a hierarchical structure is used to illustrate the impact of one reaction on the entire simulation.\nThe CellPathway system integrates acceleration techniques to render large datasets containing millions of atoms in real-time,\nwhile the reaction system is processed directly on the GPU to enable simulation with more than 1000 molecules. Furthermore,\na graphical user interface has been implemented to allow the user to control parameters during simulation interactively.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 400, "image_height": 400, "name": "Reisacher2016-image.jpg", "type": "image/jpeg", "size": 135376, "path": "Publication:Reisacher2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1267, 1189, 171 ], "booktitle": "Proceedings of WSCG", "lecturer": [ 1189 ], "location": "Pilsen, Czech Republic", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 400, "image_height": 400, "name": "Reisacher2016-image.jpg", "type": "image/jpeg", "size": 135376, "path": "Publication:Reisacher2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reisacher2016-paper.pdf", "type": "application/pdf", "size": 1151123, "path": "Publication:Reisacher2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/", "__class": "Publication" }, { "id": "Waldin_Nicholas_2016_Chameleon", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Chameleon Dynamic Color Mapping for Multi-Scale Structural Biology Models", "date": "2016", "abstract": "Visualization of structural biology data uses color to categorize or separate dense structures into particular semantic units. In\nmultiscale models of viruses or bacteria, there are atoms on the finest level of detail, then amino-acids, secondary structures,\nmacromolecules, up to the compartment level and, in all these levels, elements can be visually distinguished by color. However,\ncurrently only single scale coloring schemes are utilized that show information for one particular scale only. We present a novel\ntechnology which adaptively, based on the current scale level, adjusts the color scheme to depict or distinguish the currently\nbest visible structural information. We treat the color as a visual resource that is distributed given a particular demand. The\nchanges of the color scheme are seamlessly interpolated between the color scheme from the previous views into a given new one.\nWith such dynamic multi-scale color mapping we ensure that the viewer is able to distinguish structural detail that is shown\non any given scale. This technique has been tested by users with an expertise in structural biology and has been overall well\nreceived.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Overview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 378, "image_height": 472, "name": "Waldin_Nicholas_2016_Chameleon-Overview.png", "type": "image/png", "size": 488060, "path": "Publication:Waldin_Nicholas_2016_Chameleon", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-Overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-Overview:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1461, 1189, 1110, 166, 1365, 1260, 171 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine", "event": "VCBM", "lecturer": [ 1339 ], "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://diglib.eg.org/handle/10.2312/vcbm20161266", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Overview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 378, "image_height": 472, "name": "Waldin_Nicholas_2016_Chameleon-Overview.png", "type": "image/png", "size": 488060, "path": "Publication:Waldin_Nicholas_2016_Chameleon", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-Overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-Overview:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Waldin_Nicholas_2016_Chameleon-paper.pdf", "type": "application/pdf", "size": 25172411, "path": "Publication:Waldin_Nicholas_2016_Chameleon", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "zoomed A", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 378, "image_height": 472, "name": "Waldin_Nicholas_2016_Chameleon-zoomed A.png", "type": "image/png", "size": 462676, "path": "Publication:Waldin_Nicholas_2016_Chameleon", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-zoomed A.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-zoomed A:thumb{{size}}.png" }, { "description": null, "filetitle": "zoomed B", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 380, "image_height": 474, "name": "Waldin_Nicholas_2016_Chameleon-zoomed B.png", "type": "image/png", "size": 360850, "path": "Publication:Waldin_Nicholas_2016_Chameleon", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-zoomed B.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-zoomed B:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/", "__class": "Publication" }, { "id": "Waldin_Nicholas_2016_Colormaps", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Personalized 2D color maps", "date": "2016", "abstract": "2D color maps are often used to visually encode complex data characteristics such as heat or height. The comprehension of color maps in visualization is affected by the display (e.g., a monitor) and the perceptual abilities of the viewer. In this paper we present a novel method to measure a user׳s ability to distinguish colors of a two-dimensional color map on a given monitor. We show how to adapt the color map to the user and display to optimally compensate for the measured deficiencies. Furthermore, we improve user acceptance of the calibration procedure by transforming the calibration into a game. The user has to sort colors along a line in a 3D color space in a competitive fashion. The errors the user makes in sorting these lines are used to adapt the color map to his perceptual capabilities.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1461, 660, 171 ], "date_from": "2016-10", "issn": "0097-8493", "journal": "Computers & Graphics", "pages_from": "143", "pages_to": "150", "volume": "59", "research_areas": [ "IllVis", "Perception" ], "keywords": [ "Color; Perception", "Perception", "Color vision deficiency" ], "weblinks": [ { "href": "http://www.sciencedirect.com/science/article/pii/S0097849316300772", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Colormaps/", "__class": "Publication" }, { "id": "Waldin_Nicholas_2016_Individualization", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Individualization of 2D Color Maps for People with Color Vision Deficiencies", "date": "2016", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Waldin_Nicholas_2016_Individualization-.pdf", "type": "application/pdf", "size": 3812707, "path": "Publication:Waldin_Nicholas_2016_Individualization", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1461, 660, 488, 171 ], "booktitle": "Proceedings of the 32Nd Spring Conference on Computer Graphics", "date_from": "2016", "date_to": "2016", "lecturer": [ 1339 ], "location": "Slomenice, Slovakia", "research_areas": [ "Perception" ], "keywords": [], "weblinks": [ { "href": "http://dl.acm.org/citation.cfm?id=2948643", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Waldin_Nicholas_2016_Individualization-.pdf", "type": "application/pdf", "size": 3812707, "path": "Publication:Waldin_Nicholas_2016_Individualization", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/", "__class": "Publication" }, { "id": "Chen-Information-2016", "type_id": "book", "tu_id": null, "repositum_id": null, "title": "Information Theory Tools for Visualization", "date": "2016", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1083, 608, 171, 1512, 207, 1513 ], "isbn": "9781498740937", "pages": "194", "publisher": "CRC Press", "research_areas": [ "IllVis", "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Chen-Information-2016/", "__class": "Publication" }, { "id": "Cornel2016CFM", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Composite Flow Maps", "date": "2016", "abstract": "Flow maps are widely used to provide an overview of geospatial transportation data. Existing solutions lack the support for the interactive exploration of multiple flow components at once. Flow components are given by different materials being transported, different flow directions, or by the need for comparing alternative scenarios. In this paper, we combine flows as individual ribbons in one composite flow map. The presented approach can handle an arbitrary number of sources and sinks. To avoid visual clutter, we simplify our flow maps based on a force-driven algorithm, accounting for restrictions with respect to application semantics. The goal is to preserve important characteristics of the geospatial context. This feature also enables us to highlight relevant spatial information on top of the flow map such as traffic conditions or accessibility. The flow map is computed on the basis of flows between zones. We describe a method for auto-deriving zones from geospatial data according to application requirements. We demonstrate the method in real-world applications, including transportation logistics, evacuation procedures, and water simulation. Our results are evaluated with experts from corresponding fields.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 914, "image_height": 537, "name": "Cornel2016CFM-image.jpg", "type": "image/jpeg", "size": 169070, "path": "Publication:Cornel2016CFM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 877, 1205, 1058, 1207, 1008, 171, 798 ], "event": "EuroVis 2016", "journal": "Computer Graphics Forum", "lecturer": [ 877 ], "location": "Gronningen, The Netherlands", "number": "3", "pages_from": "461", "pages_to": "470", "volume": "35", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 914, "image_height": 537, "name": "Cornel2016CFM-image.jpg", "type": "image/jpeg", "size": 169070, "path": "Publication:Cornel2016CFM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Cornel2016CFM-paper.pdf", "type": "application/pdf", "size": 15694822, "path": "Publication:Cornel2016CFM", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/", "__class": "Publication" }, { "id": "donabauer-2015-asc", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Advanced Screen Capturing", "date": "2016", "abstract": "Creating a free-form screen shot to get what is needed is not trivial task. Moving the\nmouse cursor around the desired region to indicate the boundary of the screen snippet\noften yields jagged outlines in the result image. Furthermore, it is not that easy to fully\nexclude unnecessary screen elements during the selection process. As a consequence, the\ncreated screen shot may also contain some small portions of surrounded image elements\nwhich are unwanted in the result image or some areas may be accidentally truncated.\nTo overcome these limitations, Advanced Screen Capturing combines screen capture\nfunctionalities with image processing methods as an alternative way for creating free-form\nscreen shots. The selection of the desired screen region is done by roughly selecting\nthe needed image area. After extracting the highlighted screen region, a stroke mask\nis calculated for detecting the surrounded image elements by the drawn stroke. This\nstroke mask forms the basis for rejecting or accepting partly crossed image regions or\ntruncating large ones. The image regions for accepting and rejection are detected as\ncontours. By combining the stroke mask and the detected contours the segmentation\nmask is generated, where image regions are either fully included, fully rejected, or cut,\ndepending on their amount of overlays with the stroke mask. Based on the segmentation\nmask, the original captured screen shot is segmented. In the end, the calculated result\nimage contains all user defined relevant image information and adapted image boundaries.\nThe introduced screen capture and contour-based segmentation algorithm works best for\nscreen elements like text, charts, different kinds of shapes and a combination of these.\nAdvanced Screen Capturing can be used as a library for integration purposes in other\nsystems or as a stand alone desktop application. It was implemented by using C++ and\nQt Framework and the OpenCV library.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "donabauer-2015-asc-.png", "type": "image/png", "size": null, "path": "Publication:donabauer-2015-asc", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/donabauer-2015-asc-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/donabauer-2015-asc-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1266 ], "date_end": "2016-07", "date_start": "2015-10", "matrikelnr": "1226287", "supervisor": [ 1110 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "donabauer-2015-asc-.png", "type": "image/png", "size": null, "path": "Publication:donabauer-2015-asc", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/donabauer-2015-asc-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/donabauer-2015-asc-:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "donabauer-2015-asc-thesis.pdf", "type": "application/pdf", "size": null, "path": "Publication:donabauer-2015-asc", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/donabauer-2015-asc-thesis.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/", "__class": "Publication" }, { "id": "glinzner-2016-tex", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Texturing of 3D Objects using Simple Physics and Equilateral Triangle Patches", "date": "2016", "abstract": "Visualizing cells, in particular cell membranes, is the inspiration for this work. The goal of the presented methods is the efficient visualization of phospholipid membranes.\nA prominent role hereby plays the concept of seamlessly texturing a surface in threedimensional\nspace. By using suitable texture patches, memory consumption can be kept\nlow.\nThe developed algorithm first creates a texture mesh that stays faithful to the surface\nstructure of a user-provided input-mesh. This texture mesh consists of equilateral triangles.\nThe triangulation is achieved by first simulating repulsion between the vertices making up the texture mesh. This way they are moved around on the surface of the input-mesh\nuntil they are uniformly distributed. Mapping texture onto equilateral triangles becomes\ntrivial if triangular texture patches are assumed as well. Thus, seamless texturing is\nachieved.\nThe implementation is described in detail, followed by the demonstration of results. Also,\nan exemplary performance-analysis is given, highlighting benefits and shortcomings of\nthe algorithm, especially concerning runtime. Additionally, a short overview of related\nand prior work is given.\nThe used framework is Unity 3D.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 999, "image_height": 732, "name": "glinzner-2016-tex-image.jpg", "type": "image/jpeg", "size": 120076, "path": "Publication:glinzner-2016-tex", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1371 ], "date_end": "2016-08", "date_start": "2015-04", "matrikelnr": "0726342", "note": "1", "supervisor": [ 171 ], "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 999, "image_height": 732, "name": "glinzner-2016-tex-image.jpg", "type": "image/jpeg", "size": 120076, "path": "Publication:glinzner-2016-tex", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "glinzner-2016-tex-paper.pdf", "type": "application/pdf", "size": 3871136, "path": "Publication:glinzner-2016-tex", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "source", "main_file": false, "use_in_gallery": false, "access": "public", "name": "glinzner-2016-tex-source.zip", "type": "application/x-zip-compressed", "size": 8365868, "path": "Publication:glinzner-2016-tex", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-source.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/", "__class": "Publication" }, { "id": "Groeller_2016_P1", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": " Visual Analysis of Defects in Glass Fiber Reinforced Polymers for 4DCT Interrupted In situ Tests", "date": "2016", "abstract": "Material engineers use interrupted in situ tensile testing to investigate the damage mechanisms in composite materials. For\neach subsequent scan, the load is incrementally increased until the specimen is completely fractured. During the interrupted in situ testing of glass fiber reinforced polymers (GFRPs) defects of four types are expected to appear: matrix fracture, fiber/matrix debonding, fiber pull-out, and fiber fracture. There is a growing demand for the detection and analysis of these defects among the material engineers. In this paper, we present a novel workflow for the detection, classification, and visual analysis of defects in GFRPs using interrupted in situ tensile tests in combination with X-ray Computed Tomography. The workflow is based on the\nautomatic extraction of defects and fibers. We introduce the automatic Defect Classifier assigning the most suitable type to each defect based on its geometrical features. We present a visual analysis system that integrates four visualization methods: 1) the Defect Viewer highlights defects with visually encoded type in the context of the original CT image, 2) the Defect Density Maps provide an overview of the defect distributions according to type in 2D and 3D, 3) the Final Fracture Surface estimates the material fracture’s location and displays it as a 3D surface, 4) the 3D Magic Lens enables interactive exploration by combining detailed visualizations in the region of interest with overview visualizations as context. In collaboration with material engineers,\nwe evaluate our solution and demonstrate its practical applicability.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 427, "image_height": 107, "name": "Groeller_2016_P1-image.jpg", "type": "image/jpeg", "size": 10634, "path": "Publication:Groeller_2016_P1", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/Groeller_2016_P1-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/Groeller_2016_P1-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1170, 817, 790, 571, 166, 611 ], "issn": "doi: 10.1111/cgf.12896", "journal": "Computer Graphics Forum (2016)", "number": "3", "pages_from": "201", "pages_to": "210", "volume": " 35", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 427, "image_height": 107, "name": "Groeller_2016_P1-image.jpg", "type": "image/jpeg", "size": 10634, "path": "Publication:Groeller_2016_P1", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/Groeller_2016_P1-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/Groeller_2016_P1-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Groeller_2016_P1-Paper.pdf", "type": "application/pdf", "size": 3432744, "path": "Publication:Groeller_2016_P1", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/Groeller_2016_P1-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/Groeller_2016_P1-Paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/", "__class": "Publication" }, { "id": "Groeller_2016_P2", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Towards Quantitative Visual Analytics with Structured Brushing and Linked Statistics", "date": "2016", "abstract": "Until now a lot of visual analytics predominantly delivers qualitative results—based, for example, on a continuous color map or a detailed spatial encoding. Important target applications, however, such as medical diagnosis and decision making, clearly benefit from quantitative analysis results. In this paper we propose several specific extensions to the well-established concept of\nlinking&brushing in order to make the analysis results more quantitative. We structure the brushing space in order to improve the reproducibility of the brushing operation, e.g., by introducing the percentile grid. We also enhance the linked visualization with overlaid descriptive statistics to enable a more quantitative reading of the resulting focus+context visualization. Addition-\nally, we introduce two novel brushing techniques: the percentile brush and the Mahalanobis brush. Both use the underlying\ndata to support statistically meaningful interactions with the data. We illustrate the use of the new techniques in the context of two case studies, one based on meteorological data and the other one focused on data from the automotive industry where we evaluate a shaft design in the context of mechanical power transmission in cars.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 340, "image_height": 287, "name": "Groeller_2016_P2-image.jpg", "type": "image/jpeg", "size": 25399, "path": "Publication:Groeller_2016_P2", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/Groeller_2016_P2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/Groeller_2016_P2-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1359, 1204, 235, 710, 166, 176 ], "journal": "Computer Graphics Forum (2016)", "location": "EUROVIS 2016", "number": "3", "pages_from": "251", "pages_to": "260", "volume": "35", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 340, "image_height": 287, "name": "Groeller_2016_P2-image.jpg", "type": "image/jpeg", "size": 25399, "path": "Publication:Groeller_2016_P2", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/Groeller_2016_P2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/Groeller_2016_P2-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Groeller_2016_P2-paper.pdf", "type": "application/pdf", "size": 12830428, "path": "Publication:Groeller_2016_P2", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/Groeller_2016_P2-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/Groeller_2016_P2-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/", "__class": "Publication" }, { "id": "Groeller_2016_P3", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "State of the Art in Transfer Functions for Direct Volume Rendering", "date": "2016", "abstract": "A central topic in scientific visualization is the transfer function (TF) for volume rendering. The TF serves a fundamental role in translating scalar and multivariate data into color and opacity to express and reveal the relevant features present in the data studied. Beyond this core functionality, TFs also serve as a tool for encoding and utilizing domain knowledge and as an expression for visual design of material appearances. TFs also enable interactive volumetric exploration of complex data. The purpose of this state-of-the-art report (STAR) is to provide an overview of research into the various aspects of TFs, which lead\nto interpretation of the underlying data through the use of meaningful visual representations. The STAR classifies TF research into the following aspects: dimensionality, derived attributes, aggregated attributes, rendering aspects, automation, and user interfaces. The STAR concludes with some interesting research challenges that form the basis of an agenda for the development of next generation TF tools and methodologies.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 293, "image_height": 355, "name": "Groeller_2016_P3-image.jpg", "type": "image/jpeg", "size": 19111, "path": "Publication:Groeller_2016_P3", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1397, 1398, 166, 226, 1399, 1186 ], "event": "EuroVisSTAR2016", "journal": "Computer Graphics Forum (2016)", "location": " ", "number": "3", "pages_from": "669", "pages_to": "691", "volume": "35", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 293, "image_height": 355, "name": "Groeller_2016_P3-image.jpg", "type": "image/jpeg", "size": 19111, "path": "Publication:Groeller_2016_P3", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Groeller_2016_P3-paper.pdf", "type": "application/pdf", "size": 11431259, "path": "Publication:Groeller_2016_P3", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/", "__class": "Publication" }, { "id": "Red_Andreas_2015_FFT", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Fuzzy feature tracking", "date": "2015-12", "abstract": "In situ analysis is becoming increasingly important in the evaluation of existing as well as novel materials and components. In this domain, specialists require answers on questions such as: How does a process change internal and external structures of a component? or How do the internal features evolve?In this work, we present a novel integrated visual analysis tool to evaluate series of X-ray Computed Tomography (XCT) data. We therefore process volume datasets of a series of XCT scans, which non-destructively cover the evolution of a process by in situ scans. After the extraction of individual features, a feature tracking algorithm is applied to detect changes of features throughout the series as events. We distinguish between creation, continuation, split, merge and dissipation events. As an explicit tracking is not always possible, we introduce the computation of a Tracking Uncertainty. We visualize the data together with the determined events in multiple linked-views, each emphasizing individual aspects of the 4D-XCT dataset series: A Volume Player and a 3D Data View show the spatial feature information, whereas the global overview of the feature evolution is visualized in the Event Explorer. The Event Explorer allows for interactive exploration and selection of the events of interest. The selection is further used as basis to calculate a Fuzzy Tracking Graph visualizing the global evolution of the features over the whole series.We finally demonstrate the results and advantages of the proposed tool using various real world applications, such as a wood shrinkage analysis and an AlSiC alloy under thermal load. Graphical abstractDisplay Omitted HighlightsWe calculate a Tracking Uncertainty in order to find correlated features.The Event Explorer shows a global overview of events and feature properties.The Fuzzy Tracking Graph is used to track features through all time-steps.The Volume Player shows control elements to traverse the steps of a dataset series.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1054, 1170, 613, 166, 611 ], "journal": "Computers and Graphics", "number": "PB", "pages_from": "177", "pages_to": "184", "volume": "53", "research_areas": [ "VisMat" ], "keywords": [], "weblinks": [ { "href": "http://dl.acm.org/citation.cfm?id=2852897", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Red_Andreas_2015_FFT/", "__class": "Publication" }, { "id": "MEINDL-2015-OSR", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Omnidirectional Stereo Rendering of Virtual Environments", "date": "2015-11-12", "abstract": "In this thesis we discuss the use of omnidirectional stereo (omnistereo) rendering of virtual\nenvironments. We present an artefact-free technique to render omnistereo images for\nthe CAVE in real time using the modern rendering pipeline and GPU-based tessellation.\nDepth perception in stereoscopic images is enabled through the horizontal disparities\nseen by the left and right eye. Conventional stereoscopic rendering, using off-axis\nor toe-in projections, provides correct depth cues in the entire field of view (FOV) for\na single view-direction. Omnistereo panorama images, created from captures of the real\nworld, provide stereo depth cues in all view direction. This concept has been adopted for\nrendering, as several techniques generating omnistereo images based on virtual environments\nhave been presented. This is especially relevant in the context of surround-screen\ndisplays, as stereo depth can be provided for all view directions in a 360° panorama\nsimultaneously for upright positioned viewers. Omnistereo rendering also lifts the need\nfor view-direction tracking, since the projection is independent of the view direction,\nunlike stereoscopic projections. However, omnistereo images only provide correct depth\ncues in the center of the FOV. Stereo disparity distortion errors occur in the periphery\nof the view and worsen with distance from the center of the view. Nevertheless, due\nto a number of properties of the human visual system, these errors are not necessarily\nnoticeable.\nWe improved the existing object-warp based omnistereo rendering technique for\nCAVE display systems by preceding it with screen-space adaptive tessellation methods.\nOur improved technique creates images without perceivable artefacts and runs on\nthe GPU at real-time frame rates. The artefacts produced by the original technique\nwithout tessellation are described by us. Tessellation is used to remedy edge curvature\nand texture interpolation artefacts occurring at large polygons, due to the non-linearity\nof the omnistereo perspective. The original approach is based on off-axis projections.\nWe showed that on-axis projections can be used as basis as well, leading to identical\nimages. In addition, we created a technique to efficiently render omnistereo skyboxes\nfor the CAVE using a pre-tessellated full-screen mesh. We implemented the techniques\nas part of an application for a three-walled CAVE in the VRVis research center and\ncompared them.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 556, "image_height": 351, "name": "MEINDL-2015-OSR-image.jpg", "type": "image/jpeg", "size": 33180, "path": "Publication:MEINDL-2015-OSR", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/MEINDL-2015-OSR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/MEINDL-2015-OSR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1564 ], "date_end": "2015-11-12", "date_start": "2014-02-28", "diploma_examina": "2015-11-12", "matrikelnr": "1028160", "supervisor": [ 193, 204 ], "research_areas": [ "Rendering" ], "keywords": [ "virtual reality", "stereo rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 556, "image_height": 351, "name": "MEINDL-2015-OSR-image.jpg", "type": "image/jpeg", "size": 33180, "path": "Publication:MEINDL-2015-OSR", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/MEINDL-2015-OSR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/MEINDL-2015-OSR-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "MEINDL-2015-OSR-thesis.pdf", "type": "application/pdf", "size": 2386209, "path": "Publication:MEINDL-2015-OSR", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/MEINDL-2015-OSR-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/MEINDL-2015-OSR-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/", "__class": "Publication" }, { "id": "wallner-2015-InfoTheoryPlay", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Applying Information Theory to Formal Models of Play", "date": "2015-11-09", "abstract": "This thesis proposes a formal model of interaction in games, to be used as tool for game analysis and game testing. The model allows a quantification of interaction by looking at the low-level structure and patterns in game-controller input. The game-controller input is modelled using discrete-time, discrete-space Markov chains, and information theory is used to quantify the mismatch between the model’s prediction and the actual user input.\n\nThe model uses game-agnostic game controller data as its input, which is the lowest common denominator for a large class of games (almost all game console games, most PC games). The models are trained dynamically on-the-fly for each individual play session. This allows performing individual analyses of players’ interactions, while still retaining an approach that is very general and can be used with different games without modification.\n\nTo adapt to new play situations quickly, the used models are only based on data from the last couple of seconds or minutes. This can lead to the problem that not enough samples may be available to confidently estimate all dynamic model parameters. This problem is mitigated by considering the full probability distribution of each parameter instead, using a beta distribution.\n\nThis work contributes to the understanding of interaction in games, modelling of raw user input and quantifying the model output using information theory. The described approach has been implemented in software and preliminary results from a prestudy are available.\n\nIn this exploratory prestudy, the post hoc analysis of nine different games from various genres revealed a number of interaction patterns. One of the observed patterns is routinization, a process in which an action is performed repeatedly until it is executed almost unconsciously. Research in this field, based on this thesis, has been performed in cooperation with Martin Pichlmair from the IT University Copenhagen, and a workin-progress paper is to be published in the proceedings of the ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play (CHI PLAY) [Wallner, S., Pichlmair, M., Hecher, M., and Wimmer, M. (2015). Modeling Routinization in Games - An Information Theory Approach. In Proceedings of the Second ACM SIGCHI Annual Symposium on Computer-human Interaction in Play, page pp, London, UK. ACM.]\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1021, "image_height": 667, "name": "wallner-2015-InfoTheoryPlay-image.jpg", "type": "image/jpeg", "size": 162507, "path": "Publication:wallner-2015-InfoTheoryPlay", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-InfoTheoryPlay/wallner-2015-InfoTheoryPlay-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-InfoTheoryPlay/wallner-2015-InfoTheoryPlay-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 745 ], "date_end": "2015-11-09", "date_start": "2014-01-31", "diploma_examina": "2015-11-09", "matrikelnr": "0625104", "supervisor": [ 193 ], "research_areas": [], "keywords": [ "formal models of play", "user input visualization", "understanding interaction in games", "gameplay", "information theory" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1021, "image_height": 667, "name": "wallner-2015-InfoTheoryPlay-image.jpg", "type": "image/jpeg", "size": 162507, "path": "Publication:wallner-2015-InfoTheoryPlay", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-InfoTheoryPlay/wallner-2015-InfoTheoryPlay-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-InfoTheoryPlay/wallner-2015-InfoTheoryPlay-image:thumb{{size}}.png" }, { "description": "Master Thesis Poster", "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 413, "preview_image_height": 495, "name": "wallner-2015-InfoTheoryPlay-Poster.pdf", "type": "application/pdf", "size": 2074912, "path": "Publication:wallner-2015-InfoTheoryPlay", "preview_name": "wallner-2015-InfoTheoryPlay-Poster:preview.png", "preview_type": "image/png", "preview_size": 183540, "url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-InfoTheoryPlay/wallner-2015-InfoTheoryPlay-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-InfoTheoryPlay/wallner-2015-InfoTheoryPlay-Poster:thumb{{size}}.png" }, { "description": "Master Thesis PDF", "filetitle": "Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": 563, "preview_image_height": 411, "name": "wallner-2015-InfoTheoryPlay-Thesis.pdf", "type": "application/pdf", "size": 37109172, "path": "Publication:wallner-2015-InfoTheoryPlay", "preview_name": "wallner-2015-InfoTheoryPlay-Thesis:preview.png", "preview_type": "image/png", "preview_size": 196010, "url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-InfoTheoryPlay/wallner-2015-InfoTheoryPlay-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-InfoTheoryPlay/wallner-2015-InfoTheoryPlay-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-InfoTheoryPlay/", "__class": "Publication" }, { "id": "Klein_Tobias_2015TIV", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Towards Interactive Visual Exploration of Parallel Programs using a Domain-specific Language", "date": "2015-11", "abstract": "The utilization of GPUs and the massively parallel computing paradigm have become increasingly prominent in many research domains. Recent developments of platforms, such as\nOpenCL and CUDA, enable the usage of heterogeneous parallel computing in a wide-spread field. However, the efficient utilization of parallel hardware requires profound knowledge of\nparallel programming and the hardware itself.\n\nOur approach presents a domain-specific language that facilitates fast prototyping of parallel programs, and a visual explorer which reveals their execution behavior. With the aid\nof our visualizations, interactions with the hardware become visible, supporting the comprehensibility\nof the program and its utilization of the hardware components. Furthermore, we\naggregate behavior that leads to common issues in parallel programming and present it in a clearly structured view to the user.\n\nWe augment the standard methods for debugging and profiling by a visual approach that enables a more problem-specific, fine-grained way of analyzing parallel code. Our framework parses all program code and user-specified annotations in order to enable automatic, yet configurable code instrumentation. The resulting recordings are directly linked to interactive visualizations created with the well-known D3 (data-driven documents) framework.\n\nTo demonstrate our approach, we present two case studies about the visual analysis of memory bank conflicts and branch divergence. They investigate different parallel reduction\nimplementations and a common image processing example (all from the NVIDIA OpenCL SDK). We show that our visualizations provide immediate visual insight in the execution behavior of the program and that the performance influence of the implementations is directly reflected visually.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1114, "image_height": 443, "name": "Klein_Tobias_2015TIV-Image.jpg", "type": "image/jpeg", "size": 40401, "path": "Publication:Klein_Tobias_2015TIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Klein_Tobias_2015TIV/Klein_Tobias_2015TIV-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Klein_Tobias_2015TIV/Klein_Tobias_2015TIV-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1285 ], "matrikelnr": "1129861", "supervisor": [ 166, 488 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1114, "image_height": 443, "name": "Klein_Tobias_2015TIV-Image.jpg", "type": "image/jpeg", "size": 40401, "path": "Publication:Klein_Tobias_2015TIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Klein_Tobias_2015TIV/Klein_Tobias_2015TIV-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Klein_Tobias_2015TIV/Klein_Tobias_2015TIV-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Klein_Tobias_2015TIV-Poster.pdf", "type": "application/pdf", "size": 520222, "path": "Publication:Klein_Tobias_2015TIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Klein_Tobias_2015TIV/Klein_Tobias_2015TIV-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Klein_Tobias_2015TIV/Klein_Tobias_2015TIV-Poster:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Klein_Tobias_2015TIV-Thesis.pdf", "type": "application/pdf", "size": 4404334, "path": "Publication:Klein_Tobias_2015TIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Klein_Tobias_2015TIV/Klein_Tobias_2015TIV-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Klein_Tobias_2015TIV/Klein_Tobias_2015TIV-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Klein_Tobias_2015TIV/", "__class": "Publication" }, { "id": "krakhofer-2015", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Automatic Summarization of Image Sets", "date": "2015-11", "abstract": "The aim of this bachelor thesis was to find different approaches to solve the following problem: A set of images is divided into different groups in a way that every image belongs to exactly one group. The user defines which image belongs to which group. The images should be positioned into a grid of a user-defined size, so that they can be recognised as clusters easily. To do so, it must be guaranteed, that every image has at least one neighbour image regarding the manhatten distance which belongs to the same group. Also there must not be any gaps, or clusters which split into several parts. Multiple algorithms which are able to solve this task are to be found and analysed. There are many approaches whose goal is to create an image summarisation out of a set of images. But these approaches place the images in a way that the groups are shaped by the algorithm itself. Yet there is no method published, which lets the user define the involved groups and their associated set of images. This thesis meets this requirements and offers different solutions for this task.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 198, "image_height": 205, "name": "krakhofer-2015-teaser.png", "type": "image/png", "size": 122226, "path": "Publication:krakhofer-2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/krakhofer-2015/krakhofer-2015-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/krakhofer-2015/krakhofer-2015-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1247 ], "date_end": "2015-11-01", "date_start": "2015-05-01", "matrikelnr": "1126297", "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 198, "image_height": 205, "name": "krakhofer-2015-teaser.png", "type": "image/png", "size": 122226, "path": "Publication:krakhofer-2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/krakhofer-2015/krakhofer-2015-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/krakhofer-2015/krakhofer-2015-teaser:thumb{{size}}.png" }, { "description": "the final bachelor thesis", "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 547, "preview_image_height": 614, "name": "krakhofer-2015-thesis.pdf", "type": "application/pdf", "size": 27759442, "path": "Publication:krakhofer-2015", "preview_name": "krakhofer-2015-thesis:preview.png", "preview_type": "image/png", "preview_size": 1009882, "url": "https://www.cg.tuwien.ac.at/research/publications/2015/krakhofer-2015/krakhofer-2015-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/krakhofer-2015/krakhofer-2015-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/krakhofer-2015/", "__class": "Publication" }, { "id": "Martinez-2015-TTB", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Taming the beast: Free and open-source massive point cloud web visualization", "date": "2015-11", "abstract": "Powered by WebGL, some renderers have recently become available for the visualization of point cloud data over the web, for example Plasio or Potree. We have extended Potree to be able to visualize massive point clouds and we have successfully used it with the second national Lidar survey of the Netherlands, AHN2, with 640 billion points. In addition to the visualization, the publicly available service at ttp://ahn2.pointclouds.nl/ also features a multi-resolution download tool, a geographic name search bar, a measurement toolkit, a 2D orientation map with field of view depiction, a demo mode and the tuning of the visualization parameters. Potree relies on reorganizing the point cloud data into an multi-resolution octree data structure. However, this reorganization is very time consuming for massive data sets. Hence, we have used a divide and conquer approach to decrease the octree creation time. To achieve such performance improvement we divided the entire space into smaller cells, generated an octree for each of them in a distributed manner and then we merged them into a single massive octree. The merging is possible because the extent of all the nodes of the octrees is known and fixed. All the developed tools are free and open-source (FOSS) and they can be used to visualize over the web other massive point clouds.\n\n", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5356, 5357, 5358, 1116, 5359, 5360, 5361 ], "booktitle": "Capturing Reality Forum", "date_from": "2015", "date_to": "2015", "event": "Capturing Reality Forum", "lecturer": [ 5356 ], "pages_from": "1", "pages_to": "1", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1050, "image_height": 589, "name": "Martinez-2015-TTB-image.jpg", "type": "image/jpeg", "size": 96671, "path": "Publication:Martinez-2015-TTB", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Martinez-2015-TTB/Martinez-2015-TTB-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Martinez-2015-TTB/Martinez-2015-TTB-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Martinez-2015-TTB-paper.pdf", "type": "application/pdf", "size": 11189274, "path": "Publication:Martinez-2015-TTB", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Martinez-2015-TTB/Martinez-2015-TTB-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Martinez-2015-TTB/Martinez-2015-TTB-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Martinez-2015-TTB/", "__class": "Publication" }, { "id": "Diehl_2015", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Albero: A Visual Analytics Tool for Probabilistic Weather Forecasting.", "date": "2015-11", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1121, 1396, 235, 1122, 741, 166, 161 ], "date_from": "2015-11", "date_to": "2015-11", "event": "Poster at Workshop Big Data & Environment", "location": "University of Buenos Aires", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Diehl_2015/", "__class": "Publication" }, { "id": "Pfahler_David_2015_IPI", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "In-Place Interaction in Dashboards", "date": "2015-10", "abstract": "Interaction techniques for information visualization systems require control elements to interact with the data. These elements consume visual space and this is one of the major limiting factors of a visual analytics dashboard. This work introduces interaction methods to control the visualizations of a dashboard without the need of additional visual space. These in-place control elements give the dashboard designer the possibility\r\nto design more compact dashboards, while maintaining the same functionality without using space filling controls. This is achieved by hovering areas in the visualizations which opens controls or triggers events.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Pfahler_David_2015_IPI-Thesis.pdf", "type": "application/pdf", "size": 3610056, "path": "Publication:Pfahler_David_2015_IPI", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Pfahler_David_2015_IPI/Pfahler_David_2015_IPI-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Pfahler_David_2015_IPI/Pfahler_David_2015_IPI-Thesis:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1283 ], "matrikelnr": "1126287", "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Pfahler_David_2015_IPI-Thesis.pdf", "type": "application/pdf", "size": 3610056, "path": "Publication:Pfahler_David_2015_IPI", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Pfahler_David_2015_IPI/Pfahler_David_2015_IPI-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Pfahler_David_2015_IPI/Pfahler_David_2015_IPI-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Pfahler_David_2015_IPI/", "__class": "Publication" }, { "id": "sorger-2015-taxintec", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "A Taxonomy of Integration Techniques for Spatial and Non-Spatial Visualizations", "date": "2015-10", "abstract": "Research on visual data representations is traditionally classified into methods assuming an inherent mapping from data values to spatial coordinates (scientific visualization and real-time rendering) and methods for abstract data lacking explicit spatial references (information visualization). In practice, however, many applications need to analyze data comprising abstract and spatial information, thereby spanning both visualization domains. Traditional classification schemes do not support a formal description of these integrated systems. The contribution of this paper is a taxonomy that describes a holistic design space for integrating components of spatial and abstract visualizations. We structure a visualization into three components: Data, Visual, and Navigation. These components can be linked to build integrated visualizations. Our taxonomy provides an alternative view on the field of visualization in a time where the border between scientific and information visualization becomes blurred.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 541, "image_height": 393, "name": "sorger-2015-taxintec-teaser.png", "type": "image/png", "size": 23806, "path": "Publication:sorger-2015-taxintec", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/sorger-2015-taxintec-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/sorger-2015-taxintec-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1072, 1277, 451, 205, 166 ], "booktitle": "20th International Symposium on Vision, Modeling and Visualization (VMV 2015)", "date_from": "2015-10-07", "date_to": "2015-10-10", "editor": "David Bommes and Tobias Ritschel and Thomas Schultz", "issn": "0302-9743", "lecturer": [ 1072 ], "location": "Aachen, Germany", "publisher": "The Eurographics Association", "series": "Springer Lecture Notes in Computer Science (LNCS) series", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "sorger-2015-taxintec-paper.pdf", "type": "application/pdf", "size": 456732, "path": "Publication:sorger-2015-taxintec", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/sorger-2015-taxintec-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/sorger-2015-taxintec-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 541, "image_height": 393, "name": "sorger-2015-taxintec-teaser.png", "type": "image/png", "size": 23806, "path": "Publication:sorger-2015-taxintec", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/sorger-2015-taxintec-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/sorger-2015-taxintec-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/", "__class": "Publication" }, { "id": "Ganuza_2015", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Interactive Semi-Automatic Categorization for Spinel Group Minerals", "date": "2015-10", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1228, 1233, 1229, 408, 1232, 166, 235 ], "date_from": "2015-10", "date_to": "2015-10", "editor": "IEEE", "event": "IEEE VIS 2015 ", "research_areas": [ "VisMat" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ganuza_2015/", "__class": "Publication" }, { "id": "Ganuza_ML_2015_ISA", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Interactive Semi-Automatic Categorization for Spinel Group Minerals", "date": "2015-10", "abstract": "Spinel group minerals are excellent indicators of geological environments (tectonic settings). In 2001, Barnes and Roeder defined a set of contours corresponding to compositional fields for spinel group minerals. Geologists typically use this contours to estimate the tectonic environment where a particular spinel composition could have been formed. This task is prone to errors and requires tedious manual comparison of overlapping diagrams. We introduce a semi-automatic, interactive detection of tectonic settings for an arbitrary dataset based on the Barnes and Roeder contours. The new approach integrates the mentioned contours and includes a novel interaction called contour brush. The new methodology is integrated in the Spinel Explorer system and it improves the scientist's workflow significantly.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1228, 1233, 1229, 408, 1232, 166, 235 ], "date_from": "2015-10-25", "date_to": "2015-10-30", "event": "2015 IEEE Conference on Visual Analytics Science and Technology (VAST) (2015)", "isbn": " 978-1-4673-9783-4", "location": "Chicago, IL, USA ", "pages_from": "197", "pages_to": "198", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ganuza_ML_2015_ISA/", "__class": "Publication" }, { "id": "Labschuetz_Matthias_2015_JIT", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "JiTTree: A Just-in-Time Compiled Sparse GPU Volume Data Structure", "date": "2015-10", "abstract": "Sparse volume data structures enable the efficient representation of large but sparse volumes in GPU memory for computation and visualization. However, the choice of a specific data structure for a given data set depends on several factors, such as the memory budget, the sparsity of the data, and data access patterns. In general, there is no single optimal sparse data structure,\r\nbut a set of several candidates with individual strengths and drawbacks. One solution to this problem are hybrid data structures which locally adapt themselves to the sparsity. However, they typically suffer from increased traversal overhead which limits their utility in many applications. This paper presents JiTTree, a novel sparse hybrid volume data structure that uses just-in-time compilation to overcome these problems. By combining multiple sparse data structures and reducing traversal overhead we leverage their individual advantages. We demonstrate that hybrid data structures adapt well to a large range of data sets. They are especially superior to other sparse data structures for data sets that locally vary in sparsity. Possible optimization criteria are memory, performance and a combination thereof. Through just-in-time (JIT) compilation, JiTTree reduces the traversal overhead of the resulting optimal data structure. As a result, our hybrid volume data structure enables efficient computations on the GPU, while being superior in terms of memory usage when compared to non-hybrid data structures.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 840, 161, 166, 226, 488 ], "date_from": "2015-10-25", "date_to": "2015-10-30", "event": "IEEE SciVis 2015", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 840 ], "location": "Chicago, IL, USA", "note": "Published in January 2016", "number": "1", "pages_from": "1025", "pages_to": "1034", "volume": "22", "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2015.2467331", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Labschuetz_Matthias_2015_JIT/", "__class": "Publication" }, { "id": "Kollmann-2015-DoF", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Depth of Field: Point Splatting on Per-Pixel Layers", "date": "2015-09", "abstract": "This bachelor’s thesis is about a depth of field rendering algorithm using point splatting on per-pixel layers. The intuitive procedure just uses specific adjustable parameters for the lens of a camera to generate the desired effect in real-time. Using nothing but the depth information of a scene, the depth of field can be computed.\r\nThe so called circles of confusion are the representing value of the blur rate for objects that are out of focus. Depending on the distance between the focal plane and the current pixel, an expansion takes place because of the redirecting nature of a lens. The following required information is retrieved using an intensity distribution function.\r\nTo avoid intensity leakage and provide a full opaque picture, the entire effect is done discrete on the screen space. This prevents subsampling and enables almost correct alpha value normalization.\r\nAs stated before, an intensity distribution function is required, but in a discrete form. This is an addition to the paper, where that function is preprocessed in the application and provided for the shader directly. A high resolution texture of the desired intensity distribution function is provided as input to a shader program that renders multiple discrete versions. Another further addition prepares the texture by normalization, consuming more memory, but saving lots of time during computation.\r\nThe last part of this paper includes a defocused highlights implementation, where a tone-mapping is applied to mimic them. In general, the luminance of a pixel is computed by a simple formula, summing up the three colors with adjustment factors. Depending on this value and some parameters, the color is adjusted where bright regions are enhanced to construct this effect.\r\nThis thesis implements and extends this work and is used to test its performance after seven years when it was published. Using different configurations for the effect, the provided stable framerates of the results are used as metric for benchmarking.\r\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1026, "image_height": 568, "name": "Kollmann-2015-DoF-image.png", "type": "image/png", "size": 181249, "path": "Publication:Kollmann-2015-DoF", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/Kollmann-2015-DoF-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/Kollmann-2015-DoF-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1212 ], "date_end": "2015-09-15", "date_start": "2014-09-15", "matrikelnr": "1126633", "supervisor": [ 844, 779, 193 ], "research_areas": [], "keywords": [ "depth-of-field", "deferred rendering", "real-time rendering" ], "weblinks": [], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1026, "image_height": 568, "name": "Kollmann-2015-DoF-image.png", "type": "image/png", "size": 181249, "path": "Publication:Kollmann-2015-DoF", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/Kollmann-2015-DoF-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/Kollmann-2015-DoF-image:thumb{{size}}.png" }, { "description": "thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kollmann-2015-DoF-thesis.pdf", "type": "application/pdf", "size": 3004539, "path": "Publication:Kollmann-2015-DoF", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/Kollmann-2015-DoF-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/Kollmann-2015-DoF-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/", "__class": "Publication" }, { "id": "May_Michael_2015_DIS", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Design and Implementation of a Shader Infrastructure and Abstraction Layer", "date": "2015-09", "abstract": "Programming the GPU is more important than ever, but the organization and development of shader code for the GPU is a difficult task. Can this process be embedded into the high level language C#, gain from the features of its toolchain and enrich shader development?\n\nFor this purpose this thesis describes the design and implementation of a framework to abstract and embed shader development into C# with an internal domain-specific language (iDSL\nfor short) as front-end and a plug-in system in the back-end to support expandable optimizations and different shader languages as targets.\n\nThe implemented framework fits shader development into the C# toolchain, supporting autocompletion, and type error checking in the editor. The system offers good modularity and\nencourages developing shaders in reusable parts.\n\nThis diploma thesis was developed in cooperation with VRVis Research Center in Vienna, Austria.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 600, "name": "May_Michael_2015_DIS-Image.jpg", "type": "image/jpeg", "size": 159969, "path": "Publication:May_Michael_2015_DIS", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/May_Michael_2015_DIS-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/May_Michael_2015_DIS-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1038 ], "supervisor": [ 193, 216 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 600, "name": "May_Michael_2015_DIS-Image.jpg", "type": "image/jpeg", "size": 159969, "path": "Publication:May_Michael_2015_DIS", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/May_Michael_2015_DIS-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/May_Michael_2015_DIS-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "May_Michael_2015_DIS-Thesis.pdf", "type": "application/pdf", "size": 4847958, "path": "Publication:May_Michael_2015_DIS", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/May_Michael_2015_DIS-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/May_Michael_2015_DIS-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/", "__class": "Publication" }, { "id": "Miao_2015_VCBM", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "CoWRadar: Visual Quantification of the Circle of Willis in Stroke Patients", "date": "2015-09", "abstract": "This paper presents a method for the visual quantification of cerebral arteries, known as the Circle of Willis (CoW).\nThe CoW is an arterial structure that is responsible for the brain’s blood supply. Dysfunctions of this arterial circle\ncan lead to strokes. The diagnosis relies on the radiologist’s expertise and the software tools used. These tools\nconsist of very basic display methods of the volumetric data without support of advanced technologies in medical\nimage processing and visualization. The goal of this paper is to create an automated method for the standardized\ndescription of cerebral arteries in stroke patients in order to provide an overview of the CoW’s configuration. This novel display provides visual indications of problematic areas as well as straightforward comparisons between\nmultiple patients. Additionally, we offer a pipeline for extracting the CoW from Time-of-Flight Magnetic Resonance\nAngiography (TOF-MRA) data sets. An enumeration technique for the labeling of the arterial segments is therefore\nsuggested. We also propose a method for detecting the CoW’s main supplying arteries by analyzing the coronal,\nsagittal and transverse image planes of the data sets. We evaluated the feasibility of our visual quantification\napproach in a study of 63 TOF-MRA data sets and compared our findings to those of three radiologists. The obtained results demonstrate that our proposed techniques are effective in detecting the arteries of the CoW.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 552, "image_height": 470, "name": "Miao_2015_VCBM-image.png", "type": "image/png", "size": 310337, "path": "Publication:Miao_2015_VCBM", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_2015_VCBM/Miao_2015_VCBM-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_2015_VCBM/Miao_2015_VCBM-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263, 869, 1264, 166 ], "booktitle": "EG Workshop on Visual Computing for Biology and Medicine", "date_from": "2015-09-14", "date_to": "2015-09-15", "editor": "Katja Bühler and Lars Linsen and Nigel W. John", "isbn": "978-3-905674-82-8", "issn": "2070-5786", "lecturer": [ 1263 ], "location": "Chester, United Kingdom", "organization": "EG Digital Library", "pages_from": "1", "pages_to": "10", "publisher": "The Eurographics Association", "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "A short demonstration", "filetitle": "demo", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "Miao_2015_VCBM-demo.mp4", "type": "video/mp4", "size": 28569430, "path": "Publication:Miao_2015_VCBM", "preview_name": "Miao_2015_VCBM-demo:preview.png", "preview_type": "image/jpeg", "preview_size": 50335, "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_2015_VCBM/Miao_2015_VCBM-demo.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_2015_VCBM/Miao_2015_VCBM-demo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_2015_VCBM/Miao_2015_VCBM-demo:video.mp4" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 552, "image_height": 470, "name": "Miao_2015_VCBM-image.png", "type": "image/png", "size": 310337, "path": "Publication:Miao_2015_VCBM", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_2015_VCBM/Miao_2015_VCBM-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_2015_VCBM/Miao_2015_VCBM-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Miao_2015_VCBM-paper.pdf", "type": "application/pdf", "size": 6127015, "path": "Publication:Miao_2015_VCBM", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_2015_VCBM/Miao_2015_VCBM-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_2015_VCBM/Miao_2015_VCBM-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_2015_VCBM/", "__class": "Publication" }, { "id": "SCHUETZ-2015-HQP", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "High-Quality Point Based Rendering Using Fast Single Pass Interpolation", "date": "2015-09", "abstract": "We present a method to improve the visual quality of point cloud renderings through a nearest-neighbor-like interpolation of points. This allows applications to render points at larger sizes in order to reduce holes, without reducing the readability of fine details due to occluding points. The implementation requires only few modifications to existing shaders, making it eligible to be integrated in software applications without major design changes.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1000, "image_height": 1000, "name": "SCHUETZ-2015-HQP-image.png", "type": "image/png", "size": 1123770, "path": "Publication:SCHUETZ-2015-HQP", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/SCHUETZ-2015-HQP-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/SCHUETZ-2015-HQP-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1116, 193 ], "booktitle": "Proceedings of Digital Heritage 2015 Short Papers", "date_from": "2015-09-28", "date_to": "2015-10-02", "lecturer": [ 1116 ], "location": "Granada, Spain", "pages_from": "369", "pages_to": "372", "research_areas": [ "Rendering" ], "keywords": [ "point-based rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "SCHUETZ-2015-HQP-draft.pdf", "type": "application/pdf", "size": 1754449, "path": "Publication:SCHUETZ-2015-HQP", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/SCHUETZ-2015-HQP-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/SCHUETZ-2015-HQP-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1000, "image_height": 1000, "name": "SCHUETZ-2015-HQP-image.png", "type": "image/png", "size": 1123770, "path": "Publication:SCHUETZ-2015-HQP", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/SCHUETZ-2015-HQP-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/SCHUETZ-2015-HQP-image:thumb{{size}}.png" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/", "__class": "Publication" }, { "id": "cellVIEW_2015", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "cellVIEW: a Tool for Illustrative and Multi-Scale Rendering of Large Biomolecular Datasets", "date": "2015-09", "abstract": "In this article we introduce cellVIEW, a new system to interactively visualize large biomolecular datasets on the atomic level. Our tool is unique and has been specifically designed to match the ambitions of our domain experts to model and interactively visualize structures comprised of several billions atom. The cellVIEW system integrates acceleration techniques to allow for real-time graphics performance of 60 Hz display rate on datasets representing large viruses and bacterial organisms. Inspired by the work of scientific illustrators, we propose a level-of-detail scheme which purpose is two-fold: accelerating the rendering and reducing visual clutter. The main part of our datasets is made out of macromolecules, but it also comprises nucleic acids strands which are stored as sets of control points. For that specific case, we extend our rendering method to support the dynamic generation of DNA strands directly on the GPU. It is noteworthy that our tool has been directly implemented inside a game engine. We chose to rely on a third party engine to reduce software development work-load and to make bleeding-edge graphics techniques more accessible to the end-users. To our knowledge cellVIEW is the only suitable solution for interactive visualization of large bimolecular landscapes on the atomic level and is freely available to use and extend.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1264, "image_height": 796, "name": "cellVIEW_2015-.png", "type": "image/png", "size": 1483300, "path": "Publication:cellVIEW_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1189, 1260, 1143, 171 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine", "date_from": "2015-09-14", "date_to": "2015-09-15", "editor": "Katja Bühler and Lars Linsen and Nigel W. John", "isbn": "978-3-905674-82-8", "issn": "2070-5786", "lecturer": [ 1189 ], "location": "Chester, United Kingdom", "organization": "EG Digital Library", "pages_from": "61", "pages_to": "70", "publisher": "The Eurographics Association", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1264, "image_height": 796, "name": "cellVIEW_2015-.png", "type": "image/png", "size": 1483300, "path": "Publication:cellVIEW_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-:thumb{{size}}.png" }, { "description": "the paper", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "cellVIEW_2015-paper.pdf", "type": "application/pdf", "size": 14485825, "path": "Publication:cellVIEW_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/", "__class": "Publication" }, { "id": "Purg2015-China", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Industrial Use of Mixed Reality in VRVis Projects", "date": "2015-09", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Purg2015-China-.pdf", "type": "application/pdf", "size": 397521, "path": "Publication:Purg2015-China", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-China/Purg2015-China-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-China/Purg2015-China-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190, 1262, 202 ], "booktitle": "Proceedings of VISIC", "date_from": "2015-09-07", "date_to": "2015-09-08", "lecturer": [ 1300 ], "location": "Peking, China", "organization": "VR Kebao (Tianjin) Science & Technology Co., Ltd", "pages_from": "19", "pages_to": "23", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Purg2015-China-.pdf", "type": "application/pdf", "size": 397521, "path": "Publication:Purg2015-China", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-China/Purg2015-China-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-China/Purg2015-China-:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-China/", "__class": "Publication" }, { "id": "Fruehstueck_Anna_2015_DOM", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Decoupling Object Manipulation from Rendering in a Thin Client Visualization System", "date": "2015-09", "abstract": "Often, users of visualization applications do not have access to high performance systems for the computationally demanding visualization tasks. Rendering the visualization remotely and using a thin client (e.g. a web browser) to display the result enable the users to access the\r\nvisualization even on devices that do not target graphics processing. However, the flexibility to manipulate the data set interactively suffers in thin-client configurations. This makes a\r\nmeaningful interaction with data sets that contain many different objects difficult. This is especially true in in-situ visualization scenarios, where direct interaction with the data can\r\nbe challenging.\r\n\r\nWe solve this problem by proposing an approach that employs a deferred visualization pipeline to divide the visualization computation between a server and a client. Our thin client\r\nis built on web technologies (HTML5, JavaScript) and is integrated with the D3 library to enable interactive data-driven visualizations. An intermediate representation of objects is introduced which describes the data that is transferred from the server to the client on request. The server side carries out the computationally expensive parts of the pipeline while the client retains extensive flexibility by performing object modification tasks without requiring a\r\nre-rendering of the data.\r\n\r\nWe introduce a novel Volume Object Model as an intermediate representation for deferred visualization. This model consists of metadata and pre-rendered visualizations of each object\r\nin a data set.\r\n\r\nIn order to guarantee client-side interactivity even on large data sets, the client only receives the metadata of all objects for a pre-visualization step. By allowing the user to\r\nperform filtering using the metadata alone, the complexity of the requested visualization data can be reduced from the client side before streaming any image data. Only when the user is\r\nsatisfied, the object images are requested from the server. In combination with the metadata,\r\nthe final visualization can then be reconstructed from the individual images. Moreover, all objects in the visualization can be investigated and changed programmatically by the user\r\nvia an integrated console.\r\n\r\nIn summary, our system allows for fully interactive object-related visualization tasks in a web browser without triggering an expensive re-rendering on the server.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1366, "image_height": 1123, "name": "Fruehstueck_Anna_2015_DOM-image.jpg", "type": "image/jpeg", "size": 276431, "path": "Publication:Fruehstueck_Anna_2015_DOM", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Fruehstueck_Anna_2015_DOM/Fruehstueck_Anna_2015_DOM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Fruehstueck_Anna_2015_DOM/Fruehstueck_Anna_2015_DOM-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1075 ], "supervisor": [ 166, 488 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1366, "image_height": 1123, "name": "Fruehstueck_Anna_2015_DOM-image.jpg", "type": "image/jpeg", "size": 276431, "path": "Publication:Fruehstueck_Anna_2015_DOM", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Fruehstueck_Anna_2015_DOM/Fruehstueck_Anna_2015_DOM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Fruehstueck_Anna_2015_DOM/Fruehstueck_Anna_2015_DOM-image:thumb{{size}}.png" }, { "description": "", "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Fruehstueck_Anna_2015_DOM-Poster.pdf", "type": "application/pdf", "size": 3937888, "path": "Publication:Fruehstueck_Anna_2015_DOM", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Fruehstueck_Anna_2015_DOM/Fruehstueck_Anna_2015_DOM-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Fruehstueck_Anna_2015_DOM/Fruehstueck_Anna_2015_DOM-Poster:thumb{{size}}.png" }, { "description": "", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Fruehstueck_Anna_2015_DOM-Thesis.pdf", "type": "application/pdf", "size": 8211733, "path": "Publication:Fruehstueck_Anna_2015_DOM", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Fruehstueck_Anna_2015_DOM/Fruehstueck_Anna_2015_DOM-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Fruehstueck_Anna_2015_DOM/Fruehstueck_Anna_2015_DOM-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Fruehstueck_Anna_2015_DOM/", "__class": "Publication" }, { "id": "Gusenbauer_Matthias_2015_ANM", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "A Novel Mapping of Arbitrary Precision Integer Operations to the GPU", "date": "2015-09", "abstract": "With modern processing hardware converging on the physical barrier in terms of transistor size and speed per single core, hardware manufacturers have shifted their focus to improve\r\nperformance from raw clock power towards parallelization. Solutions to utilize the computation power of GPUs are published and supported by graphics card manufacturers. While there exist solutions for arbitrary precision integer arithmetics on the CPU there\r\nhas been little adoption of these libraries to the GPU. This thesis presents an approach to map arbitrary precision integer operations to single threads on the GPU. This novel computation mapping technique is benchmarked and compared to a library that runs these computations on the CPU. Furthermore the novel parallelization technique is\r\ncompared to an alternative mapping scheme proposed by Langer et al [Lan15]. It is shown that mapping computations to single threads outperforms both the CPU and\r\nthe approach by Langer. This thesis also explored the feasibility of rational number operations on the GPU and shows that this is in fact practically usable by providing\r\nbenchmarks.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1257 ], "supervisor": [ 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Gusenbauer_Matthias_2015_ANM-Thesis.pdf", "type": "application/pdf", "size": 806200, "path": "Publication:Gusenbauer_Matthias_2015_ANM", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Gusenbauer_Matthias_2015_ANM/Gusenbauer_Matthias_2015_ANM-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Gusenbauer_Matthias_2015_ANM/Gusenbauer_Matthias_2015_ANM-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Gusenbauer_Matthias_2015_ANM/", "__class": "Publication" }, { "id": "hafner-2015-eigf", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Optimization of Natural Frequencies for Fabrication-Aware Shape Modeling", "date": "2015-09", "abstract": "Given a target shape and a target frequency, we automatically synthesize shapes that exhibit this frequency as part of their natural spectrum while resembling the target shape as closely as possible. We propose three shape parametrization methods that afford meaningful degrees of freedom in the design of instruments such as marimbas and bells. The design space is based on the representation of a solid as the volume enclosed by an outer surface and an inner offset surface. In order to evaluate the natural frequency spectrum of a solid, we employ finite element modal analysis and evaluate the suitability of different element types. We propose a fabrication method for the production of optimized instruments by an amateur craftsperson using sand or rubber molds. The efficiency of our method is demonstrated by the production of a simple tin bell and a more complicated bell in the shape of a rabbit. We achieve agreement with the predicted pitch frequencies of 2.8% and 6% respectively. These physical results are supplemented by a number of computational results that explore the optimization of harmonic ratios and the influence of mesh resolution and mesh smoothness on the accuracy of the finite element model.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2110, "image_height": 1500, "name": "hafner-2015-eigf-image.png", "type": "image/png", "size": 1604255, "path": "Publication:hafner-2015-eigf", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/hafner-2015-eigf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/hafner-2015-eigf-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1090 ], "date_end": "2015-09-21", "date_start": "2015-01-30", "matrikelnr": "0925172", "supervisor": [ 844, 193 ], "research_areas": [ "Fabrication" ], "keywords": [ "physically based modeling", "computer graphics", "digital fabrication", "3D shape optmization", "3D shape processing" ], "weblinks": [], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2110, "image_height": 1500, "name": "hafner-2015-eigf-image.png", "type": "image/png", "size": 1604255, "path": "Publication:hafner-2015-eigf", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/hafner-2015-eigf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/hafner-2015-eigf-image:thumb{{size}}.png" }, { "description": "poster", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "hafner-2015-eigf-poster.pdf", "type": "application/pdf", "size": 4484762, "path": "Publication:hafner-2015-eigf", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/hafner-2015-eigf-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/hafner-2015-eigf-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/", "__class": "Publication" }, { "id": "Hirsch_Christian_2015_ABL", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Automatic Breast Lesion Examination of DCE-MRI Data Based on Fourier Analysis", "date": "2015-09", "abstract": "Breast cancer is the second most common cancer death among women in developed\r\ncountries. In less developed countries it has a mortality rate of about 25% rendering it the most common cancer death. It has been demonstrated that an early breast cancer diagnosis significantly reduces the mortality. In addition to mammography and breast\r\nultrasound, Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is\r\nthe modality with the highest sensitivity for breast cancer detection. However, systems for automatic lesion analysis are scarce. This thesis proposes a method for lesion evaluation without the necessity of tumor segmentation. The observer has to define a Region Of Interest (ROI) covering the lesion in question and the proposed system performs an automated lesion inspection by computing its Fourier transform. Using the Fourier\r\ntransformed volume we compute the inertia tensor of its magnitude. Based on the gathered information, the Göttinger score, which is a common breast cancer analysis scheme, is computed and the features are presented in newly create plots. These plots\r\nare evaluated with a survey where radiologists participated. The Göttinger score assigns a numeric value for the following features: shape, boundary, Internal Enhancement\r\nCharacteristics (IEC), Initial Signal Increase (ISI) and Post Initial Signal (PIS). We tested our method on 22 breast tumors (14 malignant and 8 benign ones). Subsequently, we compared our results to the classification of an experienced radiologist. The automatic\r\nboundary classification has an accuracy of 0.818, the shape 0.773 and the IEC 0.886 compared to the radiologist’s results. An evaluation of the accuracy of the benign vs. malignant classification shows that the method has an accuracy of 0.682 for all\r\nthe Göttinger score features and 0.772 using only the shape, boundary and IEC. The evaluation of the plot shows that radiologist like the visual representation of the Göttinger\r\nscore for single lesions, they, however, refuse the plots where multiple lesions are presented\r\nin one visual representation.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 978 ], "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Hirsch_Christian_2015_ABL-Poster.pdf", "type": "application/pdf", "size": 2546381, "path": "Publication:Hirsch_Christian_2015_ABL", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hirsch_Christian_2015_ABL/Hirsch_Christian_2015_ABL-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hirsch_Christian_2015_ABL/Hirsch_Christian_2015_ABL-Poster:thumb{{size}}.png" }, { "description": "", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Hirsch_Christian_2015_ABL-Thesis.pdf", "type": "application/pdf", "size": 17808011, "path": "Publication:Hirsch_Christian_2015_ABL", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hirsch_Christian_2015_ABL/Hirsch_Christian_2015_ABL-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hirsch_Christian_2015_ABL/Hirsch_Christian_2015_ABL-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hirsch_Christian_2015_ABL/", "__class": "Publication" }, { "id": "spitaler-2015-pbi", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Procedural Generation of 3D Building-Interiors", "date": "2015-08-18", "abstract": " Procedural systems are a great way to create a lot of geometric 3D content for various purposes, e.g., computer games or feature movies. They are usually based on formal grammars theory. Nowadays, a well known approach for the generation of virtual cities is the so-called 'CGA'-grammar (computer generated architecture). It was introduced a few years ago and is widely in use, however, its major drawback is the complexity and amount of code that has to be written to create good-looking results. To overcome this problem, a visual editor for the design of buildings is introduced in this thesis. It allows the user to define the aspects of a building in a top-down manner, including their interiors. Starting from the amount of floors, the user is able to define how rooms should be distributed including cross-floor relations, like staircases or elevators. Using 'generation-rules' the user is also able to add more details to the interior (e.g., furniture) and exterior (e.g. facades, plants, etc.). We demonstrate that our technique can create a great variety of visually appealing and realistic results.\n\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 962, "image_height": 487, "name": "spitaler-2015-pbi-image.png", "type": "image/png", "size": 203792, "path": "Publication:spitaler-2015-pbi", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/spitaler-2015-pbi/spitaler-2015-pbi-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/spitaler-2015-pbi/spitaler-2015-pbi-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 886 ], "date_end": "2015-08-18", "date_start": "2014-01-30", "matrikelnr": "0226436", "open_access": "yes", "supervisor": [ 844, 193 ], "research_areas": [ "Modeling" ], "keywords": [ "procedural geometric modeling", "3D modeling", "geometric urban modeling", "computer graphics" ], "weblinks": [], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 962, "image_height": 487, "name": "spitaler-2015-pbi-image.png", "type": "image/png", "size": 203792, "path": "Publication:spitaler-2015-pbi", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/spitaler-2015-pbi/spitaler-2015-pbi-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/spitaler-2015-pbi/spitaler-2015-pbi-image:thumb{{size}}.png" }, { "description": "poster", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "spitaler-2015-pbi-poster.pdf", "type": "application/pdf", "size": 18068253, "path": "Publication:spitaler-2015-pbi", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/spitaler-2015-pbi/spitaler-2015-pbi-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/spitaler-2015-pbi/spitaler-2015-pbi-poster:thumb{{size}}.png" }, { "description": "thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "spitaler-2015-pbi-thesis.pdf", "type": "application/pdf", "size": 12909432, "path": "Publication:spitaler-2015-pbi", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/spitaler-2015-pbi/spitaler-2015-pbi-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/spitaler-2015-pbi/spitaler-2015-pbi-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "PAMINA" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/spitaler-2015-pbi/", "__class": "Publication" }, { "id": "Sippl_Sebastian_EFG", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "A Framework for GPU-Assisted Generation and Composition of Inductive Rotation Patterns", "date": "2015-08", "abstract": "The Inductive Rotation Method, developed by the artist Hofstetter Kurt, is a strategy for generating elaborate artistic patterns by applying translations and rotations repeatedly\r\nto a copy of a so called prototile. The method has been inspired by aperiodic tilings such as the popular Penrose tilings. The Inductive Rotation Patterns and their nonperiodic structure is interesting from both a mathematical and from an artistic point of view. In the scope of a previous thesis different algorithms for the generation of such patterns were already implemented and researched which resulted in a program called the “Irrational Image Generator”. However, this software prototype provides only few features which support Hofstetter in designing patterns, and can only produce patterns with limited size. The limited size results from a property of the patterns: The number of tiles grows\r\nexponentially with each iteration.\r\n\r\nThe Inductive Rotation Framework, a software framework for the generation of Inductive Rotation Patterns, was developed in the course of this thesis and unites new generation algorithms with an extended tool-set, like a graphical prototile editor which supports Hofstetter in his pattern design process. One of the existing algorithms was successfully parallelized and now allows the artist pattern generation via GPGPU methods. \r\n\r\nDepending on the implementation this can increase either pattern generation speed or the maximum pattern-size. In order to research the advantages and disadvantages of a recently developed\r\ntile substitution method for the creation of Inductive Rotation Patterns, the framework was extended by an algorithm which is based on this new discovery. Following the definition of the Inductive Rotation Method from Hofstetter, this tile-substitution method produces only a subset of Inductive Rotation Patterns.\r\n\r\nBy varying the definition of Hofstetter’s Inductive Rotation Method only slightly, the Sierpinski gasket, a fractal pattern, emerges. The similarity between the Inductive Rotation Method and fractals can be observed further by comparing the parallel generation algorithm’s matrix scheme to Iterated Function Systems (IFSs), which are used to generate\r\nfractals.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1157, "image_height": 766, "name": "Sippl_Sebastian_EFG-Image.jpg", "type": "image/jpeg", "size": 154205, "path": "Publication:Sippl_Sebastian_EFG", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Sippl_Sebastian_EFG/Sippl_Sebastian_EFG-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Sippl_Sebastian_EFG/Sippl_Sebastian_EFG-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1211 ], "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1157, "image_height": 766, "name": "Sippl_Sebastian_EFG-Image.jpg", "type": "image/jpeg", "size": 154205, "path": "Publication:Sippl_Sebastian_EFG", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Sippl_Sebastian_EFG/Sippl_Sebastian_EFG-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Sippl_Sebastian_EFG/Sippl_Sebastian_EFG-Image:thumb{{size}}.png" }, { "description": "", "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Sippl_Sebastian_EFG-Poster.pdf", "type": "application/pdf", "size": 1798752, "path": "Publication:Sippl_Sebastian_EFG", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Sippl_Sebastian_EFG/Sippl_Sebastian_EFG-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Sippl_Sebastian_EFG/Sippl_Sebastian_EFG-Poster:thumb{{size}}.png" }, { "description": "", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Sippl_Sebastian_EFG-Thesis.pdf", "type": "application/pdf", "size": 17874947, "path": "Publication:Sippl_Sebastian_EFG", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Sippl_Sebastian_EFG/Sippl_Sebastian_EFG-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Sippl_Sebastian_EFG/Sippl_Sebastian_EFG-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Sippl_Sebastian_EFG/", "__class": "Publication" }, { "id": "Smisek_Michal_A3D", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Analysis of 3D and 4D Images of Organisms in Embryogenesis", "date": "2015-08", "abstract": "In this work, we present a few modifications to the state-of-the-art algorithms, as well as several novel approaches, related to the detection of cells in biological image processing.\n\nWe start by explanation of a PDE-based image processing evolution called\nFBLSCD and study its properties. We then define a fully automatic way of finding the stop time for this evolution. Afterwards, we try to see the FBLSCD as a morphological grayscale erosion, and we formulate a novel cell detection algorithm, called LSOpen, as an intersection of PDE-based and morphological image processing\nschools.\n\nThen, we discuss the best ways of inspecting cell detection results, i.e. cell identifiers. We try to quantitatively benchmark various cell detection methods by the relative amount of false positives, false negatives and multiply-detected centers\nyielded. We will observe that comparing cell detection results in a binary fashion is insufficient, therefore we are going to utilize the concept of distance function.\n\nMotivated by this need for robust cell detection result comparison, we analyze\ncommonly-used methods for computing the distance function and afterwards we\nformulate a novel algorithm. This one has complexity O(n log2 n) and it yields Euclidean distance. In addition to that, we introduce a modification to this algorithm, enabling it to work also in maze-like, wall- and corner-containing, environments.\n\nThis modification relies on the line rasterization algorithm. We perform various experiments to study and compare distance function methods. Results illustrate the viability of newly-proposed method.\n\nFurther, a software for the comparing and inspecting cell detection results,\nSliceViewer, is specified, designed, implemented and tested.\n\nIn the end, quantitative experiments are discussed, validating the above-mentioned novelties.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 850, "image_height": 820, "name": "Smisek_Michal_A3D-Image.jpg", "type": "image/jpeg", "size": 103781, "path": "Publication:Smisek_Michal_A3D", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Smisek_Michal_A3D/Smisek_Michal_A3D-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Smisek_Michal_A3D/Smisek_Michal_A3D-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1183 ], "co_supervisor": [ 1296 ], "date_end": "2015-08-24", "date_start": "2011-09-01", "reviewer_1": [ 1312 ], "reviewer_2": [ 1329 ], "rigorosum": "2015-08-24", "supervisor": [ 1341 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 850, "image_height": 820, "name": "Smisek_Michal_A3D-Image.jpg", "type": "image/jpeg", "size": 103781, "path": "Publication:Smisek_Michal_A3D", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Smisek_Michal_A3D/Smisek_Michal_A3D-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Smisek_Michal_A3D/Smisek_Michal_A3D-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Smisek_Michal_A3D-Thesis.pdf", "type": "application/pdf", "size": 10255695, "path": "Publication:Smisek_Michal_A3D", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Smisek_Michal_A3D/Smisek_Michal_A3D-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Smisek_Michal_A3D/Smisek_Michal_A3D-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Smisek_Michal_A3D/", "__class": "Publication" }, { "id": "guerrero-2015-lsp", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Learning Shape Placements by Example", "date": "2015-08", "abstract": "We present a method to learn and propagate shape placements in 2D polygonal scenes from a few examples provided by a user. The placement of a shape is modeled as an oriented bounding box. Simple geometric relationships between this bounding box and nearby scene polygons define a feature set for the placement. The feature sets of all example placements are then used to learn a probabilistic model over all possible placements and scenes. With this model we can generate a new set of placements with similar geometric relationships in any given scene.\nWe introduce extensions that enable propagation and generation of shapes in 3D scenes, as well as the application of a learned modeling session to large scenes without additional user interaction. These concepts allow us to generate complex scenes with thousands of objects with relatively little user interaction.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "repimage", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2500, "image_height": 1289, "name": "guerrero-2015-lsp-repimage.png", "type": "image/png", "size": 2193588, "path": "Publication:guerrero-2015-lsp", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-repimage.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-repimage:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 627, 356, 193, 194 ], "date_from": "2015-08-09", "date_to": "2015-08-13", "doi": "10.1145/2766933", "event": "ACM SIGGRAPH 2015", "issn": "0730-0301", "journal": "ACM Transactions on Graphics", "lecturer": [ 627 ], "location": "Los Angeles, CA", "number": "4", "pages_from": "108:1", "pages_to": "108:13", "volume": "34", "research_areas": [ "Modeling" ], "keywords": [ "modeling by example", "complex model generation" ], "weblinks": [ { "href": "http://dl.acm.org/citation.cfm?doid=2809654.2766933", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "additional material", "filetitle": "additional_material", "main_file": true, "use_in_gallery": false, "access": "public", "name": "guerrero-2015-lsp-additional_material.pdf", "type": "application/pdf", "size": 35870826, "path": "Publication:guerrero-2015-lsp", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-additional_material.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-additional_material:thumb{{size}}.png" }, { "description": "pre-print version of the paper in low resolution", "filetitle": "paper_lowres", "main_file": false, "use_in_gallery": false, "access": "public", "name": "guerrero-2015-lsp-paper_lowres.pdf", "type": "application/pdf", "size": 5200831, "path": "Publication:guerrero-2015-lsp", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-paper_lowres.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-paper_lowres:thumb{{size}}.png" }, { "description": "pre-print version of the paper", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "guerrero-2015-lsp-paper.pdf", "type": "application/pdf", "size": 11902561, "path": "Publication:guerrero-2015-lsp", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "repimage", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2500, "image_height": 1289, "name": "guerrero-2015-lsp-repimage.png", "type": "image/png", "size": 2193588, "path": "Publication:guerrero-2015-lsp", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-repimage.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-repimage:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1920, "preview_image_height": 1080, "name": "guerrero-2015-lsp-video.mp4", "type": "video/mp4", "size": 159172484, "path": "Publication:guerrero-2015-lsp", "preview_name": "guerrero-2015-lsp-video:preview.png", "preview_type": "image/jpeg", "preview_size": 52390, "url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-video:video.mp4" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/", "__class": "Publication" }, { "id": "hafner-2015-onff", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Optimization of Natural Frequencies for Fabrication-Aware Shape Modeling", "date": "2015-08", "abstract": "Given a target shape and a target frequency, we automatically synthesize a shape that exhibits this frequency as part of its natural spectrum, while resembling the target shape as closely as possible. We employ finite element modal analysis with thin-shell elements to accurately predict the acoustic behavior of 3d solids. Our optimization pipeline uses an input surface and automatically calculates an inner offset surface to describe a volumetric solid. The solid exhibits a sound with the desired pitch if fabricated from the targeted material. In order to validate our framework, we optimize the shape of a tin bell to exhibit a sound at 1760 Hz. We fabricate the bell by casting it from a mold and measure the frequency peaks in its natural ringing sound. The measured pitch agrees with our simulation to an accuracy of 2.5%. In contrast to previous method, we only use reference material parameters and require no manual tuning.", "authors_et_al": false, "substitute": null, "main_image": { "description": "thumbnail", "filetitle": "thumbnail", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1275, "image_height": 956, "name": "hafner-2015-onff-thumbnail.jpg", "type": "image/jpeg", "size": 699561, "path": "Publication:hafner-2015-onff", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-thumbnail.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-thumbnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1090, 844, 808, 193, 1243 ], "booktitle": "Proceedings of ACM SIGGRAPH 2015 Posters", "date_from": "2015-08-09", "date_to": "2015-08-13", "event": "ACM SIGGRAPH 2015", "location": "Los Angeles, CA, USA", "note": "Lecturer: P. Musialski", "publisher": "ACM", "research_areas": [ "Fabrication" ], "keywords": [ "natural frequencies", "modal analysis", "shape optimization" ], "weblinks": [], "files": [ { "description": "abstract", "filetitle": "abstract", "main_file": true, "use_in_gallery": false, "access": "public", "name": "hafner-2015-onff-abstract.pdf", "type": "application/pdf", "size": 13785825, "path": "Publication:hafner-2015-onff", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-abstract:thumb{{size}}.png" }, { "description": "eposter", "filetitle": "eposter", "main_file": true, "use_in_gallery": false, "access": "public", "name": "hafner-2015-onff-eposter.pdf", "type": "application/pdf", "size": 2896869, "path": "Publication:hafner-2015-onff", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-eposter.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-eposter:thumb{{size}}.png" }, { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2110, "image_height": 1500, "name": "hafner-2015-onff-image.png", "type": "image/png", "size": 1604255, "path": "Publication:hafner-2015-onff", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-image:thumb{{size}}.png" }, { "description": "thumbnail", "filetitle": "thumbnail", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1275, "image_height": 956, "name": "hafner-2015-onff-thumbnail.jpg", "type": "image/jpeg", "size": 699561, "path": "Publication:hafner-2015-onff", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-thumbnail.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-thumbnail:thumb{{size}}.png" }, { "description": "video", "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "hafner-2015-onff-video.mp4", "type": "video/mp4", "size": 36476292, "path": "Publication:hafner-2015-onff", "preview_name": "hafner-2015-onff-video:preview.png", "preview_type": "image/jpeg", "preview_size": 57686, "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-video:video.mp4" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/", "__class": "Publication" }, { "id": "musialski-2015-souos", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Reduced-Order Shape Optimization Using Offset Surfaces", "date": "2015-08", "abstract": "Given the 2-manifold surface of a 3d object, we propose a novel method for the computation of an offset surface with varying thickness such that the solid volume between the surface and its offset satisfies a set of prescribed constraints and at the same time minimizes a given objective functional. Since the constraints as well as the objective functional can easily be adjusted to specific application requirements, our method provides a flexible and powerful tool for shape optimization. We use manifold harmonics to derive a reduced-order formulation of the optimization problem, which guarantees a smooth offset surface and speeds up the computation independently from the input mesh resolution without affecting the quality of the result. The constrained optimization problem can be solved in a numerically robust manner with commodity solvers. Furthermore, the method allows simultaneously optimizing an inner and an outer offset in order to increase the degrees of freedom. We demonstrate our method in a number of examples where we control the physical mass properties of rigid objects for the purpose of 3d printing. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 850, "image_height": 408, "name": "musialski-2015-souos-image.png", "type": "image/png", "size": 205544, "path": "Publication:musialski-2015-souos", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844, 808, 836, 193, 1243 ], "date_from": "2015-08-09", "date_to": "2015-08-13", "doi": "10.1145/2766955", "event": "ACM SIGGRAPH 2015", "issn": "0730-0301", "journal": "ACM Transactions on Graphics (ACM SIGGRAPH 2015)", "lecturer": [ 844 ], "location": "Los Angeles, CA, USA", "number": "4", "pages_from": "102:1", "pages_to": "102:9", "volume": "34", "research_areas": [ "Fabrication" ], "keywords": [ "reduced-order models", "shape optimization", "computational geometry", "geometry processing", "physical mass properties" ], "weblinks": [ { "href": "http://dl.acm.org/citation.cfm?id=2766955", "caption": null, "description": null, "main_file": 0 } ], "files": { "0": { "description": "additional", "filetitle": "additional", "main_file": true, "use_in_gallery": false, "access": "public", "name": "musialski-2015-souos-additional.pdf", "type": "application/pdf", "size": 171083, "path": "Publication:musialski-2015-souos", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-additional.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-additional:thumb{{size}}.png" }, "1": { "description": 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"video/mp4", "size": 42829984, "path": "Publication:musialski-2015-souos", "preview_name": "musialski-2015-souos-fastforward:preview.png", "preview_type": "image/jpeg", "preview_size": 33204, "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-fastforward.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-fastforward:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-fastforward:video.mp4" }, "4": { "description": "image", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 850, "image_height": 408, "name": "musialski-2015-souos-image.png", "type": "image/png", "size": 205544, "path": "Publication:musialski-2015-souos", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-image:thumb{{size}}.png" }, "5": { "description": "preprint", "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "musialski-2015-souos-preprint.pdf", "type": "application/pdf", "size": 10130972, "path": "Publication:musialski-2015-souos", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-preprint:thumb{{size}}.png" }, "6": { "description": "slides_pdf", "filetitle": "slides_pdf", "main_file": false, "use_in_gallery": false, "access": "public", "name": "musialski-2015-souos-slides_pdf.pdf", "type": "application/pdf", "size": 4213999, "path": "Publication:musialski-2015-souos", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-slides_pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-slides_pdf:thumb{{size}}.png" }, "8": { "description": "video", "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "musialski-2015-souos-video.mp4", "type": "video/mp4", "size": 45896041, "path": "Publication:musialski-2015-souos", "preview_name": "musialski-2015-souos-video:preview.png", "preview_type": "image/jpeg", "preview_size": 46819, "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-video:video.mp4" } }, "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/", "__class": "Publication" }, { "id": "Mistelbauer_Gabriel_2015_NHR", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "New hybrid reformations of peripheral CT angiography: do we still need axial images?", "date": "2015-07", "abstract": "Purpose\r\n\r\nTo quantify the detectability of peripheral artery stenosis on hybrid CT angiography (CTA) reformations.\r\nMethods\r\n\r\nHybrid reformations were developed by combining multipath curved planar reformations (mpCPR) and maximum intensity projections (MIP). Fifty peripheral CTAs were evaluated twice: either with MIP, mpCPR and axial images or with hybrid reformations only. Digital subtraction angiography served as gold standard.\r\nResults\r\n\r\nUsing hybrid reformations, two independent readers detected 88.0% and 81.3% of significant stenosis, respectively. However, CTA including axial images detected statistically significant more lesions (98%).\r\nConclusion\r\n\r\nPeripheral CTA reading including axial images is still recommended. Further improvement of these hybrid reformations is necessary.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1047, 1287, 869, 1288, 170, 166, 1289 ], "journal": "Clinic Imaging", "number": "4", "pages_from": "603", "pages_to": "607", "volume": "39", "research_areas": [], "keywords": [ "Peripheral arterial occlusive disease;", "CT angiography;", "Three-dimensional reformations;", "Postprocessing" ], "weblinks": [ { "href": "http://www.sciencedirect.com/science/article/pii/S0899707115000662", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Mistelbauer_Gabriel_2015_NHR/", "__class": "Publication" }, { "id": "Plank_Pascal_2015_HVP", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Human Visual Perception of 3D Surfaces", "date": "2015-06", "abstract": "The gauge figure task is a methodological tool to study an observer’s perception of surface\r\norientations in renderings and visualization techniques. Originally developed to probe the perception of paintings, i. e. not veridical stimuli, the gauge figure task has since been\r\nused to measure absolute perceptual errors by comparing an observer’s surface estimates with the ground truth surface normals.\r\n\r\nIn this bachelor thesis the accuracy of the gauge figure task was investigated, i. e. how well the probed surface estimates align with the perceived surface normals on an absolute\r\nscale. To isolate the probing error a user study was carried out using different primitive objects and several depth cues, including depth-from-motion and stereo disparities, to minimize potential perceptual errors. It was expected that a stereoscopic presentation of the gauge figure would reduce the perceptual error of the gauge figure dramatically.\r\n\r\nDuring the experiments I collected about 16.300 probes from 17 participants under different viewing conditions where either the stimuli, the gauge figure, both or none of\r\nthem were presented in stereo.\r\nThe results show that the gauge figure estimates for primitive stimuli, e. g. a sphere or a cylinder, align well with the ground truth in modality-consistent conditions, i. e. where stimuli and gauge figure were both presented in stereo or both in mono. In contrast\r\nto this, a gauge figure presented in stereo to probe monoscopic stimuli resulted in an enormous slant underestimation. In addition, in the inverse case, where the gauge figure\r\nis presented in mono and the stimuli in stereo, an overestimation occurred - even for simple stimulus objects.\r\nThis bachelor thesis covers the general background and previous work for this subject, the design, setup and procedure of the user study as well as the results and a qualitative assessment. Furthermore, two alternative explanations for the found results are discussed and an outlook for possible future work is given.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Plank_Pascal_2015_HVP-.pdf", "type": "application/pdf", "size": 7108377, "path": "Publication:Plank_Pascal_2015_HVP", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Plank_Pascal_2015_HVP/Plank_Pascal_2015_HVP-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Plank_Pascal_2015_HVP/Plank_Pascal_2015_HVP-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1293 ], "matrikelnr": "1225804", "supervisor": [ 660, 1339, 171 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Plank_Pascal_2015_HVP-.pdf", "type": "application/pdf", "size": 7108377, "path": "Publication:Plank_Pascal_2015_HVP", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Plank_Pascal_2015_HVP/Plank_Pascal_2015_HVP-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Plank_Pascal_2015_HVP/Plank_Pascal_2015_HVP-:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Plank_Pascal_2015_HVP/", "__class": "Publication" }, { "id": "Jimenez_SSS_2015", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Separable Subsurface Scattering", "date": "2015-06", "abstract": "In this paper we propose two real-time models for simulating subsurface scattering for a large variety of translucent materials, which need under 0.5 milliseconds per frame to execute. This makes them a practical option for real-time production scenarios. Current state-of-the-art, real-time approaches simulate subsurface light transport by approximating the radially symmetric non-separable diffusion kernel with a sum of separable Gaussians, which requires multiple (up to twelve) 1D convolutions. In this work we relax the requirement of radial symmetry to approximate a 2D diffuse reflectance profile by a single separable kernel. We first show that low-rank approximations based on matrix factorization outperform previous approaches, but they still need several passes to get good results. To solve this, we present two different separable models: the first one yields a high-quality diffusion simulation, while the second one offers an attractive trade-off between physical accuracy and artistic control. Both allow rendering subsurface scattering using only two 1D convolutions, reducing both execution time and memory consumption, while delivering results comparable to techniques with higher cost. Using our importance-sampling and jittering strategies, only seven samples per pixel are required. Our methods can be implemented as simple post-processing steps without intrusive changes to existing rendering pipelines.\n\nhttps://www.youtube.com/watch?v=P0Tkr4HaIVk", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1381, "image_height": 731, "name": "Jimenez_SSS_2015-teaser.png", "type": "image/png", "size": 1415449, "path": "Publication:Jimenez_SSS_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1236, 1073, 1237, 1128, 808, 1238, 1239, 193, 1240 ], "date_from": "2015-06-23", "date_to": "2015-06-26", "event": "Eurographics Symposium on Rendering (EGSR)", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1128 ], "location": "Darmstadt", "number": "6", "pages_from": "188", "pages_to": "197", "volume": "34", "research_areas": [ "Rendering" ], "keywords": [ "separable", "realtime rendering", "subsurface scattering", "filtering" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12529/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "EGSR 2015 talk slides.", "filetitle": "egsr2015talk", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Jimenez_SSS_2015-egsr2015talk.pptx", "type": "application/zip", "size": 37107902, "path": "Publication:Jimenez_SSS_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-egsr2015talk.pptx", "thumb_image_sizes": [] }, { "description": "Full paper preprint.", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Jimenez_SSS_2015-paper.pdf", "type": "application/pdf", "size": 28716442, "path": "Publication:Jimenez_SSS_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-paper:thumb{{size}}.png" }, { "description": "Additional explanations and results of the method.", "filetitle": "supplementary1", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Jimenez_SSS_2015-supplementary1.pdf", "type": "application/pdf", "size": 27600680, "path": "Publication:Jimenez_SSS_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-supplementary1.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-supplementary1:thumb{{size}}.png" }, { "description": "Kernel plots.", "filetitle": "supplementary2", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Jimenez_SSS_2015-supplementary2.pdf", "type": "application/pdf", "size": 4903341, "path": "Publication:Jimenez_SSS_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-supplementary2.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-supplementary2:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1381, "image_height": 731, "name": "Jimenez_SSS_2015-teaser.png", "type": "image/png", "size": 1415449, "path": "Publication:Jimenez_SSS_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "Mofa" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/", "__class": "Publication" }, { "id": "Cornel_Daniel_2015_VOC", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visualization of Object-Centered Vulnerability to Possible Flood Hazards", "date": "2015-06", "abstract": "As flood events tend to happen more frequently, there is a growing demand for understanding the vulnerability of infrastructure to flood-related hazards. Such demand exists both for flood management personnel and the general public. Modern software tools are capable of generating uncertainty-aware flood predictions. However, the information addressing individual objects is incomplete, scattered, and hard to extract. In this paper, we address vulnerability to flood-related hazards focusing on a specific building. Our approach is based on the automatic extraction of relevant information from a large collection of pre-simulated flooding events, called a scenario pool. From this pool, we generate uncertainty-aware visualizations conveying the vulnerability of the building of interest to different kinds of flooding events. On the one hand, we display the adverse effects of the disaster on a detailed level, ranging from damage inflicted on the building facades or cellars to the accessibility of the important infrastructure in the vicinity. On the other hand, we provide visual indications of the events to which the building of interest is vulnerable in particular. Our visual encodings are displayed in the context of urban 3D renderings to establish an intuitive relation between geospatial and abstract information. We combine all the visualizations in a lightweight interface that enables the user to study the impacts and vulnerabilities of interest and explore the scenarios of choice. We evaluate our solution with experts involved in flood management and public communication.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 877, 1205, 1058, 1207, 166, 798 ], "date_from": "2015-05-25", "date_to": "2015-05-29", "event": "Euro Vis 2015", "issn": "1467-8659 (Online ISSN)", "journal": "Computer Graphic Forum", "lecturer": [ 877 ], "location": "Cagliari, Sardinia, Italy", "note": "3rd Best Paper Award", "number": "3", "pages_from": "331", "pages_to": "340", "volume": "34", "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/wol1/doi/10.1111/cgf.12645/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Cornel_Daniel_2015_VOC/", "__class": "Publication" }, { "id": "fleiss-2015-da", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Exploration of Architecture Using Exploded Views", "date": "2015-06", "abstract": "The master thesis at hand addresses automated generated explosion views as a tool of visualization and how they can be applied to illustrate architecture. I investigate existing solutions of the generation and the related theoretical foundation of explosion views, assembling process, architecture and visualization. Then I extract useful concepts from the foundation research to deduce design principles. The major part of the work is the designing and implementation of a visualization system that empowers the user to interactively explore and understand an architectural building. I hereby examine to what extend explosion views can be applied to do so. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1143, "image_height": 879, "name": "fleiss-2015-da-image.png", "type": "image/png", "size": 776363, "path": "Publication:fleiss-2015-da", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/fleiss-2015-da/fleiss-2015-da-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/fleiss-2015-da/fleiss-2015-da-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1173 ], "date_end": "2014", "date_start": "2013-11-13", "diploma_examina": "2015-06-03", "matrikelnr": "0527038", "supervisor": [ 844, 193 ], "research_areas": [ "Modeling" ], "keywords": [ "exploded views", "architecture visualization" ], "weblinks": [], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1143, "image_height": 879, "name": "fleiss-2015-da-image.png", "type": "image/png", "size": 776363, "path": "Publication:fleiss-2015-da", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/fleiss-2015-da/fleiss-2015-da-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/fleiss-2015-da/fleiss-2015-da-image:thumb{{size}}.png" }, { "description": "poster", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "fleiss-2015-da-poster.pdf", "type": "application/pdf", "size": 4312130, "path": "Publication:fleiss-2015-da", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/fleiss-2015-da/fleiss-2015-da-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/fleiss-2015-da/fleiss-2015-da-poster:thumb{{size}}.png" }, { "description": "thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": null, "preview_image_height": null, "name": "fleiss-2015-da-thesis.pdf", "type": "application/pdf", "size": 20878578, "path": "Publication:fleiss-2015-da", "preview_name": "fleiss-2015-da-thesis:preview.png", "preview_type": "application/x-empty", "preview_size": 0, "url": "https://www.cg.tuwien.ac.at/research/publications/2015/fleiss-2015-da/fleiss-2015-da-thesis.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "PAMINA" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/fleiss-2015-da/", "__class": "Publication" }, { "id": "Vad_Viktor_2015_RVV", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Reproducibility, Verification, and Validation of Experiments on the Marschner-Lobb Test Signal", "date": "2015-05-25", "abstract": "The Marschner-Lobb (ML) test signal has been used for two decades to evaluate the visual quality of different volumetric reconstruction schemes. Previously, the reproduction of these experiments was very simple, as the ML signal was used to evaluate only compact filters applied on the traditional Cartesian lattice. As the Cartesian lattice is separable, it is easy to implement these filters as separable tensor-product extensions of well-known 1D filter kernels. Recently, however, non-separable reconstruction filters have received increased attention that are much more difficult to implement than the traditional tensor-product filters. Even if these are piecewise polynomial filters, the space partitions of the polynomial pieces are geometrically rather complicated. Therefore, the reproduction of the ML experiments is getting more and more difficult. Recently, we reproduced a previously published ML experiment for comparing Cartesian Cubic (CC), Body-Centered Cubic (BCC), and Face-Centered Cubic (FCC) lattices in terms of prealiasing. We recognized that the previously applied settings were biased and gave an undue advantage to the FCC-sampled ML representation. This result clearly shows that reproducibility, verification, and validation of the ML experiments is of crucial importance as the ML signal is the most frequently used benchmark for demonstrating the superiority of a reconstruction scheme or volume representations on non-Cartesian lattices.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1195, 233, 488, 166 ], "date_from": "2015-05-25", "date_to": "2015-05-29", "event": "EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3)", "journal": "@inproceedings {eurorv3.20151140", "lecturer": [ 1195 ], "location": "Cagliari, Sardinia, Italy", "pages_from": "1", "pages_to": "3", "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://diglib.eg.org/handle/10.2312/eurorv3.20151140.001-003", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Vad_Viktor_2015_RVV/", "__class": "Publication" }, { "id": "Viola_Ivan_2015_MCT", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "MoleCollar and Tunnel Heat Map Visualizations for Conveying Spatio-Temporo-Chemical Properties Across and Along Protein Voids", "date": "2015-05", "abstract": "Studying the characteristics of proteins and their inner void space, including their geometry, physico-chemical properties and dynamics are instrumental for evaluating the reactivity of the protein with other small molecules. The analysis of long simulations of molecular dynamics produces a large number of voids which have to be further explored and evaluated. In this paper we propose three new methods: two of them convey important properties along the long axis of a selected void during molecular dynamics and one provides a comprehensive picture across the void. The first two proposed methods use a specific heat map to present two types of information: an overview of all detected tunnels in the dynamics and their bottleneck width and stability over time, and an overview of a specific tunnel in the dynamics showing the bottleneck position and changes of the tunnel length over time. These methods help to select a small subset of tunnels, which are explored individually and in detail. For this stage we propose the third method, which shows in one static image the temporal evolvement of the shape of the most critical tunnel part, i.e., its bottleneck. This view is enriched with abstract depictions of different physicochemical properties of the amino acids surrounding the bottleneck. The usefulness of our newly proposed methods is demonstrated on a case study and the feedback from the domain experts is included. The biochemists confirmed that our novel methods help to convey the information about the appearance and properties of tunnels in a very intuitive and comprehensible manner.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 868, "image_height": 1004, "name": "Viola_Ivan_2015_MCT-Image.bmp", "type": "image/x-ms-bmp", "size": 2614470, "path": "Publication:Viola_Ivan_2015_MCT", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/Viola_Ivan_2015_MCT-Image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/Viola_Ivan_2015_MCT-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1254, 1255, 166, 171, 1248 ], "date_from": "2015-05-25", "date_to": "2015-05-29", "event": "Eurographics Conference on Visualization (EuroVis) (2015)", "journal": "Computer Graphics Forum", "lecturer": [ 1254 ], "location": "Cagliari, Italy", "note": "EuroVis 2015 - Conference Proceedings", "number": "34", "pages_from": "1", "pages_to": "10", "volume": "3", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [ { "href": "http://diglib.eg.org/handle/10.1111/cgf12612", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 868, "image_height": 1004, "name": "Viola_Ivan_2015_MCT-Image.bmp", "type": "image/x-ms-bmp", "size": 2614470, "path": "Publication:Viola_Ivan_2015_MCT", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/Viola_Ivan_2015_MCT-Image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/Viola_Ivan_2015_MCT-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_2015_MCT-Paper.pdf", "type": "application/pdf", "size": 6895037, "path": "Publication:Viola_Ivan_2015_MCT", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/Viola_Ivan_2015_MCT-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/Viola_Ivan_2015_MCT-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/", "__class": "Publication" }, { "id": "Viola_Ivan_2015_VBS", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Visualization of Biomolecular Structures: State of the Art", "date": "2015-05", "abstract": "Structural properties of molecules are of primary concern in many fields. This report provides a comprehensive overview on techniques that have been developed in the fields of molecular graphics and visualization with a focus on applications in structural biology. The field heavily relies on computerized geometric and visual representations of three-dimensional, complex, large, and time-varying molecular structures. The report presents a taxonomy that demonstrates which areas of molecular visualization have already been extensively investigated and where the field is currently heading. It discusses visualizations for molecular structures, strategies for efficient display regarding image quality and frame rate, covers different aspects of level of detail, and reviews visualizations illustrating the dynamic aspects of molecular simulation data. The report concludes with an outlook on promising and important research topics to enable further success in advancing the knowledge about interaction of molecular structures.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1199, "image_height": 897, "name": "Viola_Ivan_2015_VBS-Image.bmp", "type": "image/x-ms-bmp", "size": 3229254, "path": "Publication:Viola_Ivan_2015_VBS", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/Viola_Ivan_2015_VBS-Image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/Viola_Ivan_2015_VBS-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1248, 1249, 1250, 1251, 1252, 1253, 171, 1143, 1026 ], "booktitle": "Eurographics Conference on Visualization (EuroVis) - STARs", "date_from": "2015-05-25", "date_to": "2015-05-29", "editor": "R. Borgo and F. Ganovelli and I. Viola", "event": "Eurographics Conference on Visualization (EuroVis) (2015)", "lecturer": [ 1248 ], "location": "Cagliari, Italy", "pages_from": "061", "pages_to": "081", "publisher": "The Eurographics Association", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [ { "href": "http://diglib.eg.org/handle/10.2312/eurovisstar.20151112.061-081", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1199, "image_height": 897, "name": "Viola_Ivan_2015_VBS-Image.bmp", "type": "image/x-ms-bmp", "size": 3229254, "path": "Publication:Viola_Ivan_2015_VBS", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/Viola_Ivan_2015_VBS-Image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/Viola_Ivan_2015_VBS-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_2015_VBS-Paper.pdf", "type": "application/pdf", "size": 693345, "path": "Publication:Viola_Ivan_2015_VBS", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/Viola_Ivan_2015_VBS-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/Viola_Ivan_2015_VBS-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/", "__class": "Publication" }, { "id": "Bruckner_Stefan_2015_VAS", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Visual Analysis of Spatio-Temporal Data: Applications in Weather Forecasting", "date": "2015-05", "abstract": "Weather conditions affect multiple aspects of human life such as economy, safety, security, and social activities. For\nthis reason, weather forecast plays a major role in society. Currently weather forecasts are based on Numerical\nWeather Prediction (NWP) models that generate a representation of the atmospheric flow. Interactive visualization\nof geo-spatial data has been widely used in order to facilitate the analysis of NWP models. This paper presents a\nvisualization system for the analysis of spatio-temporal patterns in short-term weather forecasts. For this purpose,\nwe provide an interactive visualization interface that guides users from simple visual overviews to more advanced\nvisualization techniques. Our solution presents multiple views that include a timeline with geo-referenced maps, an\nintegrated webmap view, a forecast operation tool, a curve-pattern selector, spatial filters, and a linked meteogram.\nTwo key contributions of this work are the timeline with geo-referenced maps and the curve-pattern selector. The\nlatter provides novel functionality that allows users to specify and search for meaningful patterns in the data.\nThe visual interface of our solution allows users to detect both possible weather trends and errors in the weather\nforecast model.We illustrate the usage of our solution with a series of case studies that were designed and validated\nin collaboration with domain experts.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1121, 166, 161 ], "booktitle": "Computer Graphic Forum", "date_from": "2015-05-25", "date_to": "2015-05-29", "lecturer": [ 161 ], "location": "Cagliari, Sardinia, Italy", "pages_from": "381", "pages_to": "390", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Bruckner_Stefan_2015_VAS-Paper.pdf", "type": "application/pdf", "size": 2391385, "path": "Publication:Bruckner_Stefan_2015_VAS", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Bruckner_Stefan_2015_VAS/Bruckner_Stefan_2015_VAS-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Bruckner_Stefan_2015_VAS/Bruckner_Stefan_2015_VAS-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Bruckner_Stefan_2015_VAS/", "__class": "Publication" }, { "id": "Ilcik_2015_LAY", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Layer-Based Procedural Design of Facades", "date": "2015-05", "abstract": "We present a novel procedural framework for interactively modeling building façades. Common procedural approaches, such as shape grammars, assume that building façades are organized in a tree structure, while in practice this is often not the case. Consequently, the complexity of their layout description becomes unmanageable for interactive editing. In contrast, we obtain a façade by composing multiple overlapping layers, where each layer contains a single rectilinear grid of façade elements described by two simple generator patterns. This way, the design process becomes more intuitive and the editing effort for complex layouts is significantly reduced. To achieve this, we present a method for the automated merging of different layers in the form of a mixed discrete and continuous optimization problem. Finally, we provide several modeling examples and a comparison to shape grammars in order to highlight the advantages of our method when designing realistic building façades. You can find the paper video at https://vimeo.com/118400233 .", "authors_et_al": false, "substitute": null, "main_image": { "description": "Decomposition of a facade into layers.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 5180, "image_height": 2069, "name": "Ilcik_2015_LAY-teaser.jpg", "type": "image/jpeg", "size": 1158754, "path": "Publication:Ilcik_2015_LAY", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1303, 844, 808, 193 ], "date_from": "2015-05-04", "date_to": "2015-05-08", "event": "Eurographics", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1303 ], "location": "Zürich", "number": "2", "pages_from": "205", "pages_to": "216", "volume": "34", "research_areas": [ "Modeling" ], "keywords": [ "procedural modeling" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12553/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "Draft of the paper", "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Ilcik_2015_LAY-preprint.pdf", "type": "application/pdf", "size": 45680231, "path": "Publication:Ilcik_2015_LAY", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-preprint:thumb{{size}}.png" }, { "description": "Supplementary material with further details", "filetitle": "Supplementary", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Ilcik_2015_LAY-Supplementary.pdf", "type": "application/pdf", "size": 14337292, "path": "Publication:Ilcik_2015_LAY", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-Supplementary.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-Supplementary:thumb{{size}}.png" }, { "description": "Decomposition of a facade into layers.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 5180, "image_height": 2069, "name": "Ilcik_2015_LAY-teaser.jpg", "type": "image/jpeg", "size": 1158754, "path": "Publication:Ilcik_2015_LAY", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "PAMINA" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/", "__class": "Publication" }, { "id": "karimov-2015-HD", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Guided Volume Editing based on Histogram Dissimilarity", "date": "2015-05", "abstract": "Segmentation of volumetric data is an important part of many analysis pipelines, but frequently requires manual inspection and correction. While plenty of volume editing techniques exist, it remains cumbersome and error-prone for the user to find and select appropriate regions for editing. We propose an approach to improve volume editing by detecting potential segmentation defects while considering the underlying structure of the object of interest. Our method is based on a novel histogram dissimilarity measure between individual regions, derived from structural information extracted from the initial segmentation. Based on this information, our interactive system guides the user towards potential defects, provides integrated tools for their inspection, and automatically generates suggestions for their resolution. We demonstrate that our approach can reduce interaction effort and supports the user in a comprehensive investigation for high-quality segmentations.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "picture", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 869, "image_height": 726, "name": "karimov-2015-HD-picture.PNG", "type": "image/png", "size": 462098, "path": "Publication:karimov-2015-HD", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-picture.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-picture:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 925, 869, 808, 161 ], "date_from": "2015-05-25", "date_to": "2015-05-29", "event": "Eurographics Conference on Visualization (EuroVis)", "journal": "Computer Graphics Forum", "lecturer": [ 925 ], "location": "Cagliary, Italy", "number": "3", "pages_from": "91", "pages_to": "100", "volume": "34", "research_areas": [ "MedVis" ], "keywords": [ "Edge and feature detection", "Image Processing and Computer Vision", "Computer Graphics", "Display algorithms", "Picture/Image Generation", "Segmentation", "Methodology and Techniques", "Interaction techniques" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "karimov-2015-HD-paper.pdf", "type": "application/pdf", "size": 11473038, "path": "Publication:karimov-2015-HD", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-paper:thumb{{size}}.png" }, { "description": null, "filetitle": 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"https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-supplementary part 2:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 822, "preview_image_height": 720, "name": "karimov-2015-HD-video.mp4", "type": "video/mp4", "size": 43392567, "path": "Publication:karimov-2015-HD", "preview_name": "karimov-2015-HD-video:preview.png", "preview_type": "image/jpeg", "preview_size": 41466, "url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/", "__class": "Publication" }, { "id": "Matkovic_Kresimir_2015_", "type_id": "habilthesis", "tu_id": null, "repositum_id": "20.500.12708/8001", "title": "Interactive Visual Analysis of Multi-Parameter Scientific Data", "date": "2015-05", "abstract": "Increasing complexity and a large number of control parameters make the design and understanding of modern engineering systems impossible without simulation. Advances in simulation technology and the ability to run multiple simulations with different sets of parameters pose new challenges for analysis techniques. The resulting\ndata is often heterogeneous. A single data point does not contain scalars or\nvectors only, as usual. Instead, a single data point contains scalars, time series, and other types of mappings. Such a data model is common in many domains. Interactive visual analysis utilizes a tight feedback loop of computation/visualization and user interaction to facilitate knowledge discovery in complex datasets.\n\nOur research extends the visual analysis technology to challenging heterogeneous data, in particular to a combination of multivariate data and more complex data types, such as functions, for example. Furthermore, we focus on developing a structured model for interactive visual analysis which supports a synergetic combination\nof user interaction and computational analysis.\n\nThe concept of height surfaces and function graphs is a proven and well developed mechanism for the analysis of a single mapping. The state of the art when a set of such mappings is analyzed suggested a use of different descriptors or aggregates in the analysis. Our research makes it possible to analyze a whole set of mappings (function graphs, or height surfaces, for example) while keeping the original data. We advance the interactive visual analysis to cope with complex scientific data. Most of the analysis techniques consider the data as a static source. Such an\napproach often hinders the analysis. We introduce a concept of interactive visual steering for simulation ensembles. We link the data generation and data exploration and analysis tasks in a single workflow. This makes it possible to tune and optimize complex systems having high dimensional parameter space and complex outputs.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 235 ], "date_end": "2014", "date_start": "2005", "doi": "10.34726/hss.2016.40602", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Habilitation Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Matkovic_Kresimir_2015_-Habilitation Thesis.pdf", "type": "application/pdf", "size": 24142604, "path": "Publication:Matkovic_Kresimir_2015_", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Matkovic_Kresimir_2015_/Matkovic_Kresimir_2015_-Habilitation Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Matkovic_Kresimir_2015_/Matkovic_Kresimir_2015_-Habilitation Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Matkovic_Kresimir_2015_/", "__class": "Publication" }, { "id": "MATTAUSCH-2015-CHCRT", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "CHC+RT: Coherent Hierarchical Culling for Ray Tracing", "date": "2015-05", "abstract": "We propose a new technique for in-core and out-of-core GPU ray tracing using a generalization of hierarchical occlusion culling in the style of the CHC++ method. Our method exploits the rasterization pipeline and hardware occlusion queries in order to create coherent batches of work for localized shader-based ray tracing kernels. By combining hierarchies in both ray space and object space, the method is able to share intermediate traversal results among multiple rays. We exploit temporal coherence among similar ray sets between frames and also within the given frame. A suitable management of the current visibility state makes it possible to benefit from occlusion culling for less coherent ray types like diffuse reflections. Since large scenes are still a challenge for modern GPU ray tracers, our method is most useful for scenes with medium to high complexity, especially since our method inherently supports ray tracing highly complex scenes that do not fit in GPU memory. For in-core scenes our method is comparable to CUDA ray tracing and performs up to 5.94 × better than pure shader-based ray tracing.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2598, "image_height": 1732, "name": "MATTAUSCH-2015-CHCRT-teaser.jpg", "type": "image/jpeg", "size": 3169435, "path": "Publication:MATTAUSCH-2015-CHCRT", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/MATTAUSCH-2015-CHCRT/MATTAUSCH-2015-CHCRT-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/MATTAUSCH-2015-CHCRT/MATTAUSCH-2015-CHCRT-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 326, 198, 1280, 1281, 193, 1184 ], "date_from": "2015-05-04", "date_to": "2015-05-08", "event": "Eurographics", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 326 ], "location": "Zurich, Switzerland", "number": "2", "pages_from": "537", "pages_to": "548", "volume": "34", "research_areas": [ "Rendering" ], "keywords": [ "occlusion culling", "ray tracing" ], "weblinks": [ { "href": "10.1111/cgf.12582", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "MATTAUSCH-2015-CHCRT-draft.pdf", "type": "application/pdf", "size": 26172214, "path": "Publication:MATTAUSCH-2015-CHCRT", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/MATTAUSCH-2015-CHCRT/MATTAUSCH-2015-CHCRT-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/MATTAUSCH-2015-CHCRT/MATTAUSCH-2015-CHCRT-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2598, "image_height": 1732, "name": "MATTAUSCH-2015-CHCRT-teaser.jpg", "type": "image/jpeg", "size": 3169435, "path": "Publication:MATTAUSCH-2015-CHCRT", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/MATTAUSCH-2015-CHCRT/MATTAUSCH-2015-CHCRT-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/MATTAUSCH-2015-CHCRT/MATTAUSCH-2015-CHCRT-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/MATTAUSCH-2015-CHCRT/", "__class": "Publication" }, { "id": "Hochmayr_Manuel_2015_PSE", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Parameter Settings Exploration in Visualisation by Using a Semi-automatic Process", "date": "2015-05", "abstract": "Parameters and the process of setting them play a major role in the world of computer based visualisation, no matter whether it is a visualisation of information or of volume data. Finding suitable parameter values can take up most of the time in the visualisation process and users have to sensibly adjust a large number of parameters. Finding a useful parameter value\r\ndistribution for achieving the desired visualisation result can be a cumbersome process which also depends on the user’s speed and experience. The purpose of this master’s thesis is to find a new and faster way to reach an appropriate parameter value distribution resulting in the desired\r\nvisualisation.\r\n\r\nFor this master’s thesis a prototype is developed which guides the user through a semi-automatic process of adjusting parameter values, which finally results in the desired visualisation of a scientific volume. Using this prototype enables the users to explore a large number of different parameter values within only a few iterations steps and a short amount of time. In order to do\r\nso we move away from the classic approach of setting parameters by adjusting sliders or combo boxes.\r\n\r\nThe idea of this thesis is to combine concepts that were already used in volume visualisation into a prototype. Our main strategy is to present pre-rendered images of the volume with different parameter values to the users. The images that are closest to the target visualisation can be selected and new images, similar to these, are shown. After some iterations of this process the users should have reached a visualisation that meets their expectations. The basis of our\r\napproach is a spreadsheet user interface.\r\n\r\nFurther we make use of the concept of high-level parameters, which are a combination of lowlevel parameters, like the specular exponent, to one single parameter, like contrast. The advantage of this concept is to have parameters which are more understandable to the users. We move\r\naway from the concept of displaying every single image in the spreadsheet interface, having multiple pages. Instead we use kMeans++ or DBScan with an automatic method to choose the\r\ndistance parameter ? to cluster the images by similarity. This results in only the cluster centres, which are images, being presented to the user in the spreadsheet interface for exploration. Additionally, Locally Linear Embedding (LLE) is used to map single images into a global coordinate\r\nsystem. As a second new approach we use the distance between the images within the coordinate system as a similarity measure for kMeans++ and DBScan. To provide a fast calculation of the\r\nLocally Linear Embedding, which includes the nearest neighbours, the distance matrix and the Eigenvalues of the images, we use CUDA. The selection process consists of two different steps:\r\nexploration and refinement. Depending on the cluster size of the selected image, a re-clustering of the sub cluster is done if the user has reached the end of the cluster due to having explored all images and not achieving the desired final image. Thus a new set with varied parameter values is\r\ncreated and used to render new images. In contrast to the initially created set, the newly created one takes into account the explored parameter values from the images chosen by the user. This\r\nmeans that the range - in which the values of the single parameters are varied - is limited by the minimum and maximum value the parameter received during the before made exploration. Our\r\ntests showed that that by combining all these techniques it is possible to explore many different parameter values for high-level parameters in a very short time, and to achieve visualisations equal to those created by setting parameter values manually. In a short test our approach enabled\r\ntwo users, who are rather inexperienced in the field of volume visualisation, to create similar visualisations in fewer steps than by setting parameter values manually.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 167, "name": "Hochmayr_Manuel_2015_PSE-.png", "type": "image/png", "size": 22443, "path": "Publication:Hochmayr_Manuel_2015_PSE", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hochmayr_Manuel_2015_PSE/Hochmayr_Manuel_2015_PSE-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hochmayr_Manuel_2015_PSE/Hochmayr_Manuel_2015_PSE-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 815 ], "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 167, "name": "Hochmayr_Manuel_2015_PSE-.png", "type": "image/png", "size": 22443, "path": "Publication:Hochmayr_Manuel_2015_PSE", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hochmayr_Manuel_2015_PSE/Hochmayr_Manuel_2015_PSE-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hochmayr_Manuel_2015_PSE/Hochmayr_Manuel_2015_PSE-:thumb{{size}}.png" }, { "description": "", "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Hochmayr_Manuel_2015_PSE-Poster.pdf", "type": "application/pdf", "size": 2561132, "path": "Publication:Hochmayr_Manuel_2015_PSE", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hochmayr_Manuel_2015_PSE/Hochmayr_Manuel_2015_PSE-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hochmayr_Manuel_2015_PSE/Hochmayr_Manuel_2015_PSE-Poster:thumb{{size}}.png" }, { "description": "", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Hochmayr_Manuel_2015_PSE-Thesis.pdf", "type": "application/pdf", "size": 11462142, "path": "Publication:Hochmayr_Manuel_2015_PSE", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hochmayr_Manuel_2015_PSE/Hochmayr_Manuel_2015_PSE-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hochmayr_Manuel_2015_PSE/Hochmayr_Manuel_2015_PSE-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hochmayr_Manuel_2015_PSE/", "__class": "Publication" }, { "id": "Froehler_Berhnard_2015_ESM", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Multimodal Visualization and Analysis of Spectral and XCT Data", "date": "2015-04-09", "abstract": "An increasing number of industrial applications demand a comprehensive analysis of both structural and chemical composition. Typically, non-destructive testing techniques focus on either structural or chemical characterization but do not deliver both. 3D X-Ray Computed Tomography (XCT) scans are well-suited for determining the internal and external structure of an object at high resolution. The attenuation value it delivers can however be the same or very similar for different materials. For a detailed chemical analysis XCT is therefore combined with spectral characterization techniques such as K-Edge Absorptiometry or X-ray Fluorescence Spectroscopy. In this paper, we are extending a previously introduced framework for visualization and analysis of specimens scanned with these two modalities in multiple ways: For better understanding the dependencies between the spectral energy levels, we propose Spectral Similarity Maps. Spectral Functional Boxplots visualize the statistical distribution of the spectral data. The Spectrum Explor-er improves the analysis of specimens of unknown composition. We demonstrate the usefulness of our techniques on several use cases.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1191, 817, 613, 166, 611 ], "date_from": "2015-04-08", "date_to": "2015-04-09", "event": " 9. Forschungsforum der Österreichischen Fachhochschulen ", "issn": "2411-5428", "journal": "Computer Graphic Forum", "lecturer": [ 1191 ], "location": "FH OÖ Campus Hagenberg", "note": "appeared in June 2014", "number": "3", "pages_from": "91", "pages_to": "100", "volume": "33", "research_areas": [ "VisMat" ], "keywords": [], "weblinks": [ { "href": "http://dl.acm.org/citation.cfm?id=2771505", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Froehler_Berhnard_2015_ESM/", "__class": "Publication" }, { "id": "Ganuza_MJ_2015_AVe", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Análisis visual en Geología", "date": "2015-04", "abstract": "Los geólogos usualmente trabajan con rocas que tienen edades oscilando entre pocos a miles de millones de años. Uno de los objetivos es tratar de reconstruir los ambientes geológicos donde se formaron las rocas y la sucesión de eventos que las afectaron desde su formación a fin de comprender la evolución geológica de la Tierra, identificar regiones donde se localizan depósitos minerales de interés económico, recursos de combustibles, etc. Para alcanzar estos objetivos, recolectan información y muestras de rocas y minerales en el campo, En particular estos últimos son analizados en laboratorio con instrumentos para obtener datos geoquímicos de minerales, como por ejemplo de los que conforman el grupo del espinelo. Dada la gran cantidad de datos generados, los científicos se ven obligados a analizar grandes volúmenes de información para arribar a conclusiones basadas en datos objetivos. El flujo del trabajo de análisis de los geólogos incluye el uso tedioso de varias herramientas y métodos manuales relativamente complejos y propensos a errores para comparar diferentes gráficos y tablas. Para mejorarlo, los integrantes de este proyecto desarrollaron un framework de análisis visual de datos geológicos. Una realimentación muy positiva de los expertos del dominio sobre éste y el gran potencial de mejoramiento motiva esta línea de trabajo.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1228, 1229, 1233, 1231, 235, 1232, 166 ], "date_from": "2015-04-16", "date_to": "2015-04-17", "event": "Workshop de Investigadores en Ciencias de la Computación (WICC 2015)", "location": "Salta, Argentina", "pages_from": "1", "pages_to": "5", "publisher": " Red de Universidades con Carreras en Informática (RedUNCI)", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Ganuza_MJ_2015_AVe-Paper.pdf", "type": "application/pdf", "size": 1324794, "path": "Publication:Ganuza_MJ_2015_AVe", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ganuza_MJ_2015_AVe/Ganuza_MJ_2015_AVe-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ganuza_MJ_2015_AVe/Ganuza_MJ_2015_AVe-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ganuza_MJ_2015_AVe/", "__class": "Publication" }, { "id": "mindek-2015-mc", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Automatized Summarization of Multiplayer Games", "date": "2015-04", "abstract": "We present a novel method for creating automatized gameplay dramatization of multiplayer video games. The dramatization serves as a visual form of guidance through dynamic 3D scenes with multiple foci, typical for such games. Our goal is to convey interesting aspects of the gameplay by animated sequences creating a summary of events which occurred during the game. Our technique is based on processing many cameras, which we refer to as a flock of cameras, and events captured during the gameplay, which we organize into a so-called event graph. Each camera has a lifespan with a certain time interval and its parameters such as position or look-up vector are changing over time. Additionally, during its lifespan each camera is assigned an importance function, which is dependent on the significance of the structures that are being captured by the camera. The images captured by the cameras are composed into a single continuous video using a set of operators based on cinematographic effects. The sequence of operators is selected by traversing the event graph and looking for specific patterns corresponding to the respective operators. In this way, a large number of cameras can be processed to generate an informative visual story presenting the gameplay. Our compositing approach supports insets of camera views to account for several important cameras simultaneously. Additionally, we create seamless transitions between individual selected camera views in order to preserve temporal continuity, which helps the user to follow the virtual story of the gameplay.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 400, "image_height": 302, "name": "mindek-2015-mc-.png", "type": "image/png", "size": 137906, "path": "Publication:mindek-2015-mc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935, 1246, 171, 166, 161 ], "booktitle": "Proceedings of Spring Conference on Computer Graphics 2015", "date_from": "2015-04-22", "date_to": "2015-04-24", "editor": "Joaquim Jorge, Luis Paulo Santos, Roman Durikovic", "isbn": "978-80-223-3844-8", "lecturer": [ 935 ], "location": "Smolenice, Slovakia", "pages_from": "93", "pages_to": "100", "publisher": "Comenius University, Bratislava", "research_areas": [ "IllVis" ], "keywords": [ "storytelling", "game visualization", "animation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 400, "image_height": 302, "name": "mindek-2015-mc-.png", "type": "image/png", "size": 137906, "path": "Publication:mindek-2015-mc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2015-mc-Paper.pdf", "type": "application/pdf", "size": 281246, "path": "Publication:mindek-2015-mc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2015-mc-Slides.zip", "type": "application/zip", "size": 33951287, "path": "Publication:mindek-2015-mc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-Slides.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/", "__class": "Publication" }, { "id": "ROEGNER-2015-IBR", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Image-based Reprojection Using a Non-local Means Algorithm", "date": "2015-04", "abstract": "We introduce an image-based approach to increase the framerate of image sequences generated with offline rendering algorithms. Our method handles in most cases reflections and refractions better than existing image-based temporal coherence techniques. The proposed technique is also more accurate than some image-based upsampling methods, because it calculates an individual result for each pixel.\n\nOur proposed algorithm takes a pair of frames and generates motion vectors for each pixel. This allows for adding a new frame between that pair and thus increasing the framerate. To find the motion vectors, we utilize the non-local means denoising algorithm, which determines the similarity of two pixels by their surrounding and reinterpret that similarity as the likelihood of movement from one pixel to the other. This is similar to what it is done in video encoding to reduce file size, but in our case is done for each pixel individually instead of a block-wise approach, making our technique more accurate. Our method also improves on work in the field of real-time rendering. Such techniques use motion vectors, which are generated through knowledge about the movement of objects within the scene. This can lead to problems when the optical flow in an image sequence is not coherent with the objects movement. Our method avoids those problems. Furthermore, previous work has shown, that the non-local means algorithm can be optimized for parallel execution, which signicantly reduces the time to execute our proposed technique as well.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 958, "image_height": 539, "name": "ROEGNER-2015-IBR-image.jpg", "type": "image/jpeg", "size": 40656, "path": "Publication:ROEGNER-2015-IBR", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/ROEGNER-2015-IBR/ROEGNER-2015-IBR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/ROEGNER-2015-IBR/ROEGNER-2015-IBR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 875, 193, 1244, 1245 ], "number": "TR-186-2-15-02", "research_areas": [ "Rendering" ], "keywords": [ "optical flow", "offline rendering", "image reprojection", "temporal upsampling", "image-based rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 958, "image_height": 539, "name": "ROEGNER-2015-IBR-image.jpg", "type": "image/jpeg", "size": 40656, "path": "Publication:ROEGNER-2015-IBR", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/ROEGNER-2015-IBR/ROEGNER-2015-IBR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/ROEGNER-2015-IBR/ROEGNER-2015-IBR-image:thumb{{size}}.png" }, { "description": null, "filetitle": "techreport", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ROEGNER-2015-IBR-techreport.pdf", "type": "application/pdf", "size": 8962492, "path": "Publication:ROEGNER-2015-IBR", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/ROEGNER-2015-IBR/ROEGNER-2015-IBR-techreport.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/ROEGNER-2015-IBR/ROEGNER-2015-IBR-techreport:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/ROEGNER-2015-IBR/", "__class": "Publication" }, { "id": "lemuzic_2015_timelapse", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Illustrative Timelapse: A Technique for Illustrative Visualization of Particle Simulations on the Mesoscale Level", "date": "2015-04", "abstract": "Animated movies are a popular way to communicate complex phenomena\nin cell biology to the broad audience. Animation artists\napply sophisticated illustration techniques to communicate a story,\nwhile trying to maintain a realistic representation of a complex dynamic\nenvironment. Since such hand-crafted animations are timeconsuming\nand cost-intensive to create, our goal is to formalize\nillustration techniques used by artists to facilitate the automatic\ncreation of visualizations generated from mesoscale particle-based\nmolecular simulations. Our technique Illustrative Timelapse supports\nvisual exploration of complex biochemical processes in dynamic\nenvironments by (1) seamless temporal zooming to observe\nphenomena in different temporal resolutions, (2) visual abstraction\nof molecular trajectories to ensure that observers are able to visually\nfollow the main actors, (3) increased visual focus on events of interest,\nand (4) lens effects to preserve a realistic representation of the\nenvironment in the context. Results from a first user study indicate\nthat visual abstraction of trajectories improves the ability to follow\na story and is also appreciated by users. Lens effects increased the\nperceived amount of molecular motion in the environment while\ntrading off traceability of individual molecules.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screenshot", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1804, "image_height": 810, "name": "lemuzic_2015_timelapse-screenshot.jpg", "type": "image/jpeg", "size": 238322, "path": "Publication:lemuzic_2015_timelapse", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-screenshot.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1189, 1110, 1143, 171 ], "booktitle": "Visualization Symposium (PacificVis), 2015 IEEE Pacific", "date_from": "2015-04-14", "date_to": "2015-04-17", "lecturer": [ 1189 ], "location": "Zijingang Campus, Zhejiang University, Hangzhou, China", "organization": "8th IEEE Pacific Visualization Symposium (PacificVis 2015)", "pages_from": "247", "pages_to": "254", "publisher": "IEEE", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "the paper", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "lemuzic_2015_timelapse-paper.pdf", "type": "application/pdf", "size": 1414681, "path": "Publication:lemuzic_2015_timelapse", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "screenshot", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1804, "image_height": 810, "name": "lemuzic_2015_timelapse-screenshot.jpg", "type": "image/jpeg", "size": 238322, "path": "Publication:lemuzic_2015_timelapse", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-screenshot.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-screenshot:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/", "__class": "Publication" }, { "id": "Miao_Haichao_2015_VQC", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Visual Quantification of the Circle of Willis in Stroke Patients", "date": "2015-04", "abstract": "This thesis presents a novel method for the visual quantification of cerebral arteries. The Circle of Willis (CoW) is an arterial structure that is responsible for the brain’s blood supply. Dysfunctions of this arterial circle can lead to strokes. The diagnosis of stroke patients is complex\nand relies on the radiologist’s expertise and the software tools used. These tools consist of very basic display methods of the volumetric data without support of state-of-the-art technologies in medical image processing and visualization. The goal of this thesis is to create an automated\nmethod for the standardized visualization of cerebral arteries in stroke patients in order to allow visual indications of problematic areas as well as straightforward inter-patient comparisons.\n\nPrior to the visualization, this work offers a solution for the extraction of the CoW from Time-of-Flight Magnetic Resonance Angiography (TOF-MRA) images. An enumeration technique for the labeling of the segments is therefore suggested. Furthermore, it proposes a method for the detection of the CoW’s main supplying arteries by analyzing the coronal, sagittal and transverse image planes of the volume. This work gives a comprehensive account of the entire pipeline that is required to extract the arteries in the CoW and to build a model for the standardized\nvisualization. The final goal of this thesis is to create an effective display of the arteries based on a radial tree layout.\n\nThe feasibility of the visual quantification method is tested in a study of 63 TOF-MRAs. With the proposed methodology applied to the subjects, the results were compared to the findings from radiologists. The obtained results demonstrate that the proposed techniques are effective\nin detecting the arteries of the CoW. Finally, we focused our methods on the identification of the main arteries.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 552, "image_height": 470, "name": "Miao_Haichao_2015_VQC-.png", "type": "image/png", "size": 310337, "path": "Publication:Miao_Haichao_2015_VQC", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_Haichao_2015_VQC/Miao_Haichao_2015_VQC-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_Haichao_2015_VQC/Miao_Haichao_2015_VQC-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1263 ], "matrikelnr": "0726810", "supervisor": [ 166 ], "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 552, "image_height": 470, "name": "Miao_Haichao_2015_VQC-.png", "type": "image/png", "size": 310337, "path": "Publication:Miao_Haichao_2015_VQC", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_Haichao_2015_VQC/Miao_Haichao_2015_VQC-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_Haichao_2015_VQC/Miao_Haichao_2015_VQC-:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Miao_Haichao_2015_VQC-poster.pdf", "type": "application/pdf", "size": 9515940, "path": "Publication:Miao_Haichao_2015_VQC", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_Haichao_2015_VQC/Miao_Haichao_2015_VQC-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_Haichao_2015_VQC/Miao_Haichao_2015_VQC-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Miao_Haichao_2015_VQC-Thesis.pdf", "type": "application/pdf", "size": 18465647, "path": "Publication:Miao_Haichao_2015_VQC", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_Haichao_2015_VQC/Miao_Haichao_2015_VQC-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_Haichao_2015_VQC/Miao_Haichao_2015_VQC-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_Haichao_2015_VQC/", "__class": "Publication" }, { "id": "Reh_Andreas_VoP", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Visualization of Porosity in Carbon Fiber Reinforced Polymers", "date": "2015-03", "abstract": "Industrial research is continuously increasing efforts in designing new-tailored light-weight materials\r\nin order to meet the high demands regarding efficiency, environment, safety as well as comfort. Especially in the aeronautics industry a high demand for advanced composite materials\r\nis observable. The new generations of aircrafts are made of more than 50 % of these novel composite materials. Carbon fiber reinforced polymers (CFRPs) are currently considered as the most promising candidate since this material is outperforming the majority of conventional materials. As a result of the manufacturing process this material tends to have pores inside. Pores\r\nin the material are typically inclusions of air. As they have an impact on the mechanical properties\r\nof the component, their determination and evaluation is an important task in quality control and a particular challenge for non-destructive testing (NDT) practitioners. Besides the characterization of individual pores, their spatial distribution in the tested component is a relevant\r\nfactor. For example, a high concentration of pores in certain regions leads to different material\r\ncharacteristics as compared to a homogenous distribution of the pores.\r\n\r\nThis work is based on 3D X-ray Computed Tomography (XCT) to gain new insight into CFRP components. Based on domain experts’ questions, specific tasks were derived. Besides the quantitative\r\nporosity determination, the main visualization tasks are: giving a fast porosity overview, exploring the individual pores, and tracking features over time based on XCT time-series. In\r\nthis thesis, three novel visual analysis tools are presented to solve these tasks.\r\n\r\nTo enhance the evaluation workflow for non-destructive testing (NDT) practitioners, a visualization pipeline for the interactive exploration and visual analysis of CFRP specimens is developed. After the calculation of local pore properties, i.e., volume, surface, extents and shape factors, a drill-down approach is employed to explore pores in a CFRP specimen. Therefore Porosity Maps (PM) are presented to allow for a fast porosity overview and selecting a region of interest. Pores in this region may be filtered and visualized with a parallel-coordinates selection.\r\n\r\nFurthermore a novel visualization technique which allows for a fast porosity overview and exploration\r\nof pores by focusing more on their shapes is proposed. In this method, all objects (pores) are clustered into a Mean Object (MObject). To explore this MObject, the visualization of mean object sets (MObject Sets) in a radial and a parallel alignment is introduced.\r\nBy selecting a specific property such as the volume or shape factor and the desired number of classes, a MObject is split up into sub-classes. With this approach, intended classifications and\r\nvisualizations of MObjects may be explored by the user. These representative MObjects may be exported as volumetric datasets to serve as input for successive calculations and simulations. \r\n\r\nFor an overview of the pore properties in the dataset local MObjects are calculated in a grid and combined with a color-coded homogeneity visualization. Both approaches were evaluated with real-world CFRP specimens.\r\n\r\nTo go one step further, time as a fourth dimension is added to analyze a process over time, e.g., how the features evolve and formate over time. Therefore features in a series of XCT scans are tracked with the Fuzzy Feature Tracking approach and are then visualized together with the extracted events in multiple linked-views, each emphasizing individual aspects of the 4D\r\ntime-series data. Spatial feature information, global temporal overview, and global temporal evolution of how the features are tracked and connected over the whole time-series are covered\r\nwith the visual-analysis system. The results and advantages of the Fuzzy Feature Tracking tool are demonstrated using various real-world applications, such as AlSiC alloys under thermal load\r\nor wood shrinkage analyses.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1054 ], "duration": "3 years", "reviewer_1": [ 166 ], "reviewer_2": [ 226 ], "rigorosum": "2015-04-24", "supervisor": [ 166 ], "research_areas": [], "keywords": [ "Carbon Fiber Reinforced Polymers", "MObjects", "Porosity", "Visual Analysis", "Visualization", "Industrial Computed Tomography" ], "weblinks": [], "files": [ { "description": "", "filetitle": "Dissertation", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reh_Andreas_VoP-Dissertation.pdf", "type": "application/pdf", "size": 13329816, "path": "Publication:Reh_Andreas_VoP", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Reh_Andreas_VoP/Reh_Andreas_VoP-Dissertation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Reh_Andreas_VoP/Reh_Andreas_VoP-Dissertation:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Reh_Andreas_VoP/", "__class": "Publication" }, { "id": "KREUZER-2015-DPA", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Depixelizing Pixel Art in Real-Time", "date": "2015-02", "abstract": "Pixel art was frequently employed in games of the 90s and earlier. On today's large and high-resolution displays, pixel art looks blocky. Recently, an algorithm was introduced to create a smooth, resolution-independent vector representation from pixel art. However, the algorithm is far too slow for interactive use, for example in a game. This poster presents an efficient implementation of the algorithm on the GPU, so that it runs at real-time rates and can be incorporated into current game emulators. Extended Abstract: http://dl.acm.org/citation.cfm?id=2721395", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 128, "name": "KREUZER-2015-DPA-.jpg", "type": "image/jpeg", "size": 10802, "path": "Publication:KREUZER-2015-DPA", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/KREUZER-2015-DPA/KREUZER-2015-DPA-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/KREUZER-2015-DPA/KREUZER-2015-DPA-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1046, 1241, 193 ], "booktitle": "Proceedings of the 19th Symposium on Interactive 3D Graphics and Games", "date_from": "2015-02-27", "date_to": "2015-03-01", "event": "19th Symposium on Interactive 3D Graphics and Games", "isbn": "978-1-4503-3392-4", "location": "San Francisco, CA", "pages_from": "130", "pages_to": "130", "publisher": "ACM New York, NY, USA", "research_areas": [ "Rendering" ], "keywords": [ "image processing", "depixelizing", "pixel art" ], "weblinks": [ { "href": "https://github.com/falichs/Depixelizing-Pixel-Art-on-GPUs", "caption": "repository", "description": "Github repository for source code and demo", "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 128, "name": "KREUZER-2015-DPA-.jpg", "type": "image/jpeg", "size": 10802, "path": "Publication:KREUZER-2015-DPA", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/KREUZER-2015-DPA/KREUZER-2015-DPA-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/KREUZER-2015-DPA/KREUZER-2015-DPA-:thumb{{size}}.png" }, { "description": "poster", "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "KREUZER-2015-DPA-Poster.pdf", "type": "application/pdf", "size": 1778426, "path": "Publication:KREUZER-2015-DPA", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/KREUZER-2015-DPA/KREUZER-2015-DPA-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/KREUZER-2015-DPA/KREUZER-2015-DPA-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/KREUZER-2015-DPA/", "__class": "Publication" }, { "id": "WEBER-2015-PRA", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Parallel Reyes-style Adaptive Subdivision with Bounded Memory Usage", "date": "2015-02", "abstract": "Recent advances in graphics hardware have made it a desirable goal to implement the Reyes algorithm on current graphics cards. One key component in this algorithm is the bound-and-split phase, where surface patches are recursively split until they are smaller than a given screen-space bound. While this operation has been successfully parallelized for execution on the GPU using a breadth-first traversal, the resulting implementations are limited by their unpredictable worst-case memory consumption and high global memory bandwidth utilization. In this paper, we propose an alternate strategy that allows limiting the amount of necessary memory by controlling the number of assigned worker threads. The result is an implementation that scales to the performance of the breadth-first approach while offering three advantages: significantly decreased memory usage, a smooth and predictable tradeoff between memory usage and performance, and increased locality for surface processing. This allows us to render scenes that would require too much memory to be processed by the breadth-first method.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1080, "name": "WEBER-2015-PRA-image.png", "type": "image/png", "size": 960569, "path": "Publication:WEBER-2015-PRA", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA/WEBER-2015-PRA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA/WEBER-2015-PRA-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 743, 193, 1282 ], "booktitle": "Proceedings of the 19th Symposium on Interactive 3D Graphics and Games (i3D 2015)", "date_from": "2015-02-27", "date_to": "2015-03-01", "isbn": "978-1-4503-3392-4", "lecturer": [ 743 ], "location": "San Francisco, CA", "organization": "ACM", "pages_from": "39", "pages_to": "45", "publisher": "ACM", "research_areas": [ "Rendering" ], "keywords": [ "micro-rasterization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "WEBER-2015-PRA-draft.pdf", "type": "application/pdf", "size": 3613764, "path": "Publication:WEBER-2015-PRA", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA/WEBER-2015-PRA-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA/WEBER-2015-PRA-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1080, "name": "WEBER-2015-PRA-image.png", "type": "image/png", "size": 960569, "path": "Publication:WEBER-2015-PRA", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA/WEBER-2015-PRA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA/WEBER-2015-PRA-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA/", "__class": "Publication" }, { "id": "Wimmer_Maria_2015_SAS", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Semi-Automatic Spine Labeling on T1- and T2-weighted MRI Volume Data", "date": "2015-01-20", "abstract": "In medical diagnosis, the spine is often a frame of reference and so helps to localize diseases (e.g. tumors) in the human body. Automated spine labeling approaches are in demand, in order\nto replace time consuming, manual labeling by a radiologist. Different approaches have already been proposed in the literature, mainly for Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) data. While CT scans exhibit a generalized intensity scale, MR images come with a high variability within the data and hence the tissues. Several factors influence the\nappearance of vertebrae and intervertebral disks in MRI data: different scanners, changes of acquisition parameters, magnetic field inhomogeneities or age-related, structural changes of the\nspinal anatomy. These factors compound the development of semi- and fully automatic spine labeling systems.\n\nThe main goal of this thesis is to overcome these variations and find a generalized representation for different kinds of MR data. Furthermore, it aims for a semi-automatic labeling approach on these preprocessed scans where the user has to provide an initial click. Entropyoptimized Texture Models are applied to normalize the data to a standardized, reduced intensity\nscale.With Probabilistic Boosting Trees, intervertebral disk feature points are detected, whereby the disk center is selected with a Shape Particle Filter.\n\nThe results achieved with the proposed pipeline are promising in terms of data normalization, timing and labeling accuracy. With a mean overall processing time of 6.0 s for normalizing and labeling a dataset (0.8 s per disk), the algorithm achieves a precision of 92.4% (recall = 86.8%). Using a higher resolution of the data for disk detection (average timing of 1.6 s per disk resp. 12.4 s per dataset), reduces the number of missed disk candidates and hence increases the recall to 91.7% (with a precision of 91.9%).", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1137 ], "co_supervisor": [ 231 ], "matrikelnr": "0725248", "supervisor": [ 166, 231 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Wimmer_Maria_2015_SAS-Poster.pdf", "type": "application/pdf", "size": 3716053, "path": "Publication:Wimmer_Maria_2015_SAS", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Wimmer_Maria_2015_SAS/Wimmer_Maria_2015_SAS-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Wimmer_Maria_2015_SAS/Wimmer_Maria_2015_SAS-Poster:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Wimmer_Maria_2015_SAS-Thesis.pdf", "type": "application/pdf", "size": 9305320, "path": "Publication:Wimmer_Maria_2015_SAS", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Wimmer_Maria_2015_SAS/Wimmer_Maria_2015_SAS-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Wimmer_Maria_2015_SAS/Wimmer_Maria_2015_SAS-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Wimmer_Maria_2015_SAS/", "__class": "Publication" }, { "id": "WEBER-2015-PRA1", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Micropolygon Rendering on the GPU", "date": "2015-01", "abstract": "Recent advances in graphics hardware have made it a desirable goal\nto implement the Reyes algorithm commonly used in production\nrendering to run on current graphics cards. One key component in\nthis algorithm is the bound-and-split phase, where surface patches\nare recursively split until they are smaller than a given screen-space\nbound. While this operation has been successfully parallelized for\nexecution on the GPU using a breadth-first traversal, the resulting\nimplementations are limited by their unpredictable worst-case\nmemory consumption and high global memory bandwidth utilization.\nIn this paper, we propose an alternate strategy that allows\nlimiting the amount of necessary memory by controlling the number\nof assigned worker threads. The result is an implementation\nthat scales to the performance of the breadth-first approach while\noffering three advantages: significantly decreased memory usage, a\nsmooth and predictable tradeoff between memory usage and performance,\nand increased locality for surface processing. This allows\nus to render scenes that would require too much memory to be processed\nby the breadth-first method.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 943, "image_height": 531, "name": "WEBER-2015-PRA1-teaser.png", "type": "image/png", "size": 342818, "path": "Publication:WEBER-2015-PRA1", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA1/WEBER-2015-PRA1-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA1/WEBER-2015-PRA1-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 743 ], "date_end": "2015-01-13", "date_start": "2013-01-01", "diploma_examina": "2015-01-13", "matrikelnr": "0526341", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "WEBER-2015-PRA1-poster.pdf", "type": "binary/octet-stream", "size": 775078, "path": "Publication:WEBER-2015-PRA1", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA1/WEBER-2015-PRA1-poster.pdf", "thumb_image_sizes": [] }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 943, "image_height": 531, "name": "WEBER-2015-PRA1-teaser.png", "type": "image/png", "size": 342818, "path": "Publication:WEBER-2015-PRA1", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA1/WEBER-2015-PRA1-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA1/WEBER-2015-PRA1-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "WEBER-2015-PRA1-thesis.pdf", "type": "binary/octet-stream", "size": 10282578, "path": "Publication:WEBER-2015-PRA1", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA1/WEBER-2015-PRA1-thesis.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA1/", "__class": "Publication" }, { "id": "Freude_MSc", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Extending Separable Subsurface Scattering to Arbitrary Materials", "date": "2015-01", "abstract": "This thesis proposes extensions for the Separable Subsurface Scattering algorithm to support\r\narbitrary materials. Four separable (rank-1) kernel models for the approximation of physically\r\nbased diffuse reflectance profiles are presented. Each model offers different approximation quality\r\nand controllability. The first two models are based on singular value decomposition and a\r\ncustom analytic pre-integration scheme. They enable fast deterministic kernel computation and\r\nprovide fixed-quality solutions. Two additional parametrized models are based on automatic\r\nand manual optimization and provide more control over the approximation quality but are more\r\ntime-consuming to generate. Higher rank approximations can be computed using the approach\r\nbased on singular value decomposition.\r\nAll four kernel models are used to compute approximations for physically measured diffuse\r\nreflectance profiles of different materials and tested using several special-case irradiance signals\r\nand complex proof-of-concept scenes. The results are compared to the state of the art in realtime\r\nrendering of subsurface scattering, showing comparable approximation quality at lower\r\ncomputational cost. The proposed extensions enable rendering of physically based subsurface\r\nscattering for arbitrary materials and dynamic scenes in real time.\r\n\r\nhttps://www.youtube.com/watch?v=P0Tkr4HaIVk", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1072, "image_height": 577, "name": "Freude_MSc-.png", "type": "image/png", "size": 956703, "path": "Publication:Freude_MSc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1128 ], "supervisor": [ 193, 1073 ], "research_areas": [], "keywords": [ "subsurface scattering", "real-time" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1072, "image_height": 577, "name": "Freude_MSc-.png", "type": "image/png", "size": 956703, "path": "Publication:Freude_MSc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-:thumb{{size}}.png" }, { "description": "", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Freude_MSc-poster.pdf", "type": "application/pdf", "size": 2251849, "path": "Publication:Freude_MSc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-poster:thumb{{size}}.png" }, { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Freude_MSc-thesis.pdf", "type": "application/pdf", "size": 19013128, "path": "Publication:Freude_MSc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/", "__class": "Publication" }, { "id": "Beham_Michael_PSC", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Parameter Spaces of Cups: Cluster-based Exploration of a Geometry Generator", "date": "2015-01", "abstract": "Geometry generators are commonly used in video games and evaluation systems for computer vision to create geometric shapes such as terrains, vegetation or airplanes. The parameters of the generator are often sampled automatically which can lead to many similar or unwanted objects. In this thesis, we propose a novel visual exploration approach that combines the abstract parameter space of the generator with the resulting geometric shapes in a composite visualization. Similar 3D shapes are first grouped using hierarchical clustering and then displayed in an illustrative parallel coordinates or scatterplot matrix visualization. This helps the user to study the sensitivity of the generator with respect to its parameter space and to identify invalid regions. Starting from a compact overview representation, the user can iteratively drill-down into local shape differences by clicking on the respective clusters. Additionally, a linked radial tree gives an overview of the cluster hierarchy and enables the user to manually split or merge clusters. We evaluate our approach by exploring the parameter space of a cup generator and provide feedback from domain experts. \n\nKurzfassung:\n\nGeometriegeneratoren werden häufig in Videospielen und Evaluierungssystemen für Maschinelles Sehen eingesetzt um 3D Geometrie wie Terrains, Vegetation und Flugzeuge zu erstellen. Die Generatoren werden durch Parameter gesteuert. Diese werden oft automatisch abgetastet, um verschiedenste Variationen eines Objektes zu erzeugen. Dies führt aber oft zu sehr ähnlichen oder unerwünschten Objekten. In dieser Diplomarbeit wird ein neues Visualisierungssystemvorgestellt, welches die Analyse des abstrakten Parameterraumes eines Geometriegenerators gemeinsam mit den resultierenden Geometrieobjekten mithilfe neuer Visualisierungen darstellt. Ähnliche Objekte werden zunächst mittles Hierarchischem Clustering gruppiert und anschließend in illustrativen Parallelen Koordinaten dargestellt. Dies ermöglicht dem/der BenutzerIn die Sensitivität einzelner Parameter zu analysieren und Regionen im Parameterraum zu identifizieren, welche unerwünschte Ergebnisse liefern. Die Visualisierung startet mit einer kompakten übersichtlichen Darstellung und der/die BenutzerIn kann interaktiv die lokalen Unterschiede durch klicken auf den gewünschten Cluster analysieren. Zur erhöhten Übersichtlichkeit wird auch eine radiale Baumdarstellung der Cluster angeboten. Desweiteren können Cluster vereinigt und gesplittet werden. Das System wurde von Fachleuten evaluiert, wobei ein Tassengenerator analysiert wurde. \n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 303, "image_height": 178, "name": "Beham_Michael_PSC-teaser.png", "type": "image/png", "size": 162296, "path": "Publication:Beham_Michael_PSC", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Beham_Michael_PSC/Beham_Michael_PSC-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Beham_Michael_PSC/Beham_Michael_PSC-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 816 ], "matrikelnr": "unknown", "supervisor": [ 166, 983 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "the poster used for the EPILOG", "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1355, "preview_image_height": 660, "name": "Beham_Michael_PSC-poster.pdf", "type": "application/pdf", "size": 4017019, "path": "Publication:Beham_Michael_PSC", "preview_name": "Beham_Michael_PSC-poster:preview.png", "preview_type": "image/png", "preview_size": 2687962, "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Beham_Michael_PSC/Beham_Michael_PSC-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Beham_Michael_PSC/Beham_Michael_PSC-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 303, "image_height": 178, "name": "Beham_Michael_PSC-teaser.png", "type": "image/png", "size": 162296, "path": "Publication:Beham_Michael_PSC", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Beham_Michael_PSC/Beham_Michael_PSC-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Beham_Michael_PSC/Beham_Michael_PSC-teaser:thumb{{size}}.png" }, { "description": "the final masters thesis", "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 622, "preview_image_height": 332, "name": "Beham_Michael_PSC-thesis.pdf", "type": "application/pdf", "size": 15911401, "path": "Publication:Beham_Michael_PSC", "preview_name": "Beham_Michael_PSC-thesis:preview.png", "preview_type": "image/png", "preview_size": 620902, "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Beham_Michael_PSC/Beham_Michael_PSC-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Beham_Michael_PSC/Beham_Michael_PSC-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Beham_Michael_PSC/", "__class": "Publication" }, { "id": "2015-image-coll", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Organisation of Image Collections", "date": "2015", "abstract": "On the internet there are a lot of image collections, for example on Flickr or Imgur. Many of them let any user upload photographs or images. As a result, they have a large number of images, for instance Flickr had more than 10 billion image uploads in 2014 alone. This makes it di\u000ecult to \fnd speci\fc images or images\r\nwith certain attributes. Therefore, we propose a new method for searching pictures in image collections.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 335, "image_height": 246, "name": "2015-image-coll-teaser.png", "type": "image/png", "size": 72243, "path": "Publication:2015-image-coll", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/2015-image-coll/2015-image-coll-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/2015-image-coll/2015-image-coll-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1014 ], "date_end": "2015-02", "date_start": "2014-09", "matrikelnr": "0925447", "supervisor": [ 950, 166 ], "research_areas": [], "keywords": [ "pivot view", "image collections" ], "weblinks": [], "files": [ { "description": "", "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1000, "preview_image_height": 587, "name": "2015-image-coll-report.pdf", "type": "application/pdf", "size": 5794916, "path": "Publication:2015-image-coll", "preview_name": "2015-image-coll-report:preview.png", "preview_type": "image/png", "preview_size": 106782, "url": "https://www.cg.tuwien.ac.at/research/publications/2015/2015-image-coll/2015-image-coll-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/2015-image-coll/2015-image-coll-report:thumb{{size}}.png" }, { "description": "", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 335, "image_height": 246, "name": "2015-image-coll-teaser.png", "type": "image/png", "size": 72243, "path": "Publication:2015-image-coll", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/2015-image-coll/2015-image-coll-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/2015-image-coll/2015-image-coll-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/2015-image-coll/", "__class": "Publication" }, { "id": "Adorjan-2015", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "The OpenSFM Database", "date": "2015", "abstract": "Besides using high-cost laser scanning equipment to capture large point clouds for topographical or architectural purposes, nowadays other, more affordable approaches exist. Structure-from-motion (SfM) in combination with multi-view stereo (MVS) is such a low-cost photogrammetric method used to generate large point datasets. It refers to the process of estimating three-dimensional structures out of two-dimensional image sequences. These sequences can even be captured with conventional consumer-grade digital cameras.\n\nIn our work we aim to a establish a free and fully accessible structure-from-motion system, based on the idea of collaborative projects like OpenStreetMap. Our client-server system, called OpenSfM, consists of a web front-end which lets the user explore, upload and edit SfM-datasets and a back-end that answers client requests and processes the uploaded data and stores it in a database.\n\nThe front-end is a virtual tourism client which allows the exploration of georeferenced point clouds together with their corresponding SfM-data like camera parameters and photos. The information is rendered in the context of an interactive virtual globe. An upload functionality makes it possible to integrate new SfM-datasets into the system and improve or extend existing datasets by adding images that fill missing areas of the affected point cloud. Furthermore, an edit mode allows the correction of georeferencing or reconstruction errors.\n\nOn the other side the back-end evaluates the uploaded information and generates georeferenced point datasets using a state-of-the-art SfM engine and the GPS data stored in the uploaded images. The generated point clouds are preprocessed, such that they can be used by the front-end’s point cloud renderer. After that, they are stored together with the uploaded images and SfM parameters in the underlying database.\n\nOn the whole, our system allows the gathering of SfM-datasets that represent different sights or landmarks, but also just locally famous buildings, placed all over the world. Those datasets can be explored in an interactive way by every user who accesses the virtual tourism client using a web browser.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1041 ], "date_end": "2016-05-02", "date_start": "2015-03-04", "matrikelnr": "0927290 ", "supervisor": [ 836, 193 ], "research_areas": [ "Modeling", "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Adorjan-2015-thesis.pdf", "type": "application/adobe", "size": 2207417, "path": "Publication:Adorjan-2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Adorjan-2015/Adorjan-2015-thesis.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Adorjan-2015/", "__class": "Publication" }, { "id": "audioflow", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "AudioFlow", "date": "2015", "abstract": "In this work we present a way to use flow datasets in an artistic way. The main goal of our work is to analyze how flow data can influence audio playback. We use values from existing flow datasets to control the playback of an audio stream in our developed music player called AudioFlow. This application allows the user to extract flow data values from a loaded dataset with the help of simple drag and drop gestures. A rendered flow visualization makes it possible to select specific flow channel values. The extracted data values are then used to change the volume and playback speed of a background audio stream. Furthermore, it is possible to introduce a fading effect, which repeatedly decreases and increases the volume of the played audio file.", "authors_et_al": false, "substitute": null, "main_image": { "description": "AudioFlow application", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 201, "image_height": 200, "name": "audioflow-teaser.png", "type": "image/png", "size": 24879, "path": "Publication:audioflow", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/audioflow/audioflow-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/audioflow/audioflow-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1041 ], "date_end": "2015-02", "date_start": "2014-10", "matrikelnr": "0927290", "supervisor": [ 950, 166 ], "research_areas": [], "keywords": [ "media interaction", "audio manipulation", "flow visualization" ], "weblinks": [], "files": [ { "description": "Praktikum report", "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 573, "preview_image_height": 351, "name": "audioflow-report.pdf", "type": "application/pdf", "size": 2384340, "path": "Publication:audioflow", "preview_name": "audioflow-report:preview.png", "preview_type": "image/png", "preview_size": 44007, "url": "https://www.cg.tuwien.ac.at/research/publications/2015/audioflow/audioflow-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/audioflow/audioflow-report:thumb{{size}}.png" }, { "description": "AudioFlow application", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 201, "image_height": 200, "name": "audioflow-teaser.png", "type": "image/png", "size": 24879, "path": "Publication:audioflow", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/audioflow/audioflow-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/audioflow/audioflow-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/audioflow/", "__class": "Publication" }, { "id": "Auzinger-2015-IST", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Prefiltered Anti-Aliasing on Parallel Hardware", "date": "2015", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 808 ], "date_from": "2015-04-29", "event": "Seminar Talk", "location": "IST Austria", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "Mofa" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Auzinger-2015-IST/", "__class": "Publication" }, { "id": "auzinger-2015-phd", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Sampled and Prefiltered Anti-Aliasing on Parallel Hardware", "date": "2015", "abstract": "A fundamental task in computer graphics is the generation of two-dimensional images. Prominent examples are the conversion of text or three-dimensional scenes to formats that can be presented on a raster display. Such a conversion process - often referred to as rasterization or sampling - underlies inherent limitations due to the nature of the output format. This causes not only a loss of information in the rasterization result, which manifests as reduced image sharpness, but also causes corruption of the retained information in form of aliasing artifacts. Commonly observed examples in the final image are staircase artifacts along object silhouettes or Moire-like patterns.\r\n\r\nThe main focus of this thesis is on the effective removal of such artifacts - a process that is generally referred to as anti-aliasing. This is achieved by removing the offending input information in a filtering step during rasterization. In this thesis, we present different approaches that either minimize computational effort or emphasize output quality.\r\n\r\nWe follow the former objective in the context of an applied scenario from medical visualization. There, we support the investigation of the interiors of blood vessels in complex arrangements by allowing for unrestricted view orientation. Occlusions of overlapping blood vessels are minimized by automatically generating cut-aways with the help of an occlusion cost function. Furthermore, we allow for suitable extensions of the vessel cuts into the surrounding tissue. Utilizing a level of detail approach, these cuts are gradually smoothed with increasing distance from their respective vessels. Since interactive response is a strong requirement for a medical application, we employ fast sample-based anti-aliasing methods in the form of visibility sampling, shading supersampling, and post-process filtering.\r\n\r\nWe then take a step back and develop the theoretical foundations for anti-aliasing methods that follow the second objective of providing the highest degree of output quality. As the main contribution in this context, we present exact anti-aliasing in the form of prefiltering. By computing closed-form solutions of the filter convolution integrals in the continuous domain, we circumvent any issues that are caused by numerical integration and provide mathematically correct results. Together with a parallel hidden-surface elimination, which removes all occluded object parts when rasterizing three-dimensional scenes, we present a ground-truth solution for this setting with exact anti-aliasing. We allow for complex illumination models and perspective-correct shading by combining visibility prefiltering with shading sampling and generate a ground-truth solution for multisampling anti-aliasing.\r\n\r\nAll our aforementioned methods exhibit highly parallel workloads. Throughout the thesis, we present their mapping to massively parallel hardware architectures in the form of graphics processing units. Since our approaches do not map to conventional graphics pipelines, we implement our approach using general-purpose computing concepts. This results in decreased runtime of our methods and makes all of them interactive.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Illustration of sample-based and prefiltered edge anti-aliasing.", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2632, "image_height": 816, "name": "auzinger-2015-phd-teaser.png", "type": "image/png", "size": 161776, "path": "Publication:auzinger-2015-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 808 ], "date_end": "2015", "date_start": "2010", "reviewer_1": [ 198 ], "reviewer_2": [ 193 ], "rigorosum": "2015-05-12", "supervisor": [ 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "Illustration of sample-based and prefiltered edge anti-aliasing.", "filetitle": "logo", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2632, "image_height": 816, "name": "auzinger-2015-phd-logo.png", "type": "image/png", "size": 161776, "path": "Publication:auzinger-2015-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-logo.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-logo:thumb{{size}}.png" }, { "description": "The submitted PhD thesis.", "filetitle": "phd-thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "auzinger-2015-phd-phd-thesis.pdf", "type": "application/pdf", "size": 47937340, "path": "Publication:auzinger-2015-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-phd-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-phd-thesis:thumb{{size}}.png" }, { "description": "Presentation slides used at the PhD defense.", "filetitle": "presentation", "main_file": true, "use_in_gallery": false, "access": "public", "name": "auzinger-2015-phd-presentation.pptx", "type": "application/zip", "size": 10301895, "path": "Publication:auzinger-2015-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-presentation.pptx", "thumb_image_sizes": [] }, { "description": "Illustration of sample-based and prefiltered edge anti-aliasing.", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2632, "image_height": 816, "name": "auzinger-2015-phd-teaser.png", "type": "image/png", "size": 161776, "path": "Publication:auzinger-2015-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/", "__class": "Publication" }, { "id": "bayer-2015-gapaot", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "\"Gangsters and Pranksters: The Art of Thievery\": A Multiplayer Stealth Game in the Context of the Generation of Dynamic Replay Videos", "date": "2015", "abstract": "We wanted to create a game that is fully compatible to the surveillance system created by Peter Mindek and his colleagues. The game is a stealth based multiplayer game where you have to steal precious objects from a museum and avoid the watchman that want to catch you. After a round the game saves the replay data and the data for the event hierarchy that can be used by the surveillance system.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 519, "image_height": 291, "name": "bayer-2015-gapaot-.png", "type": "image/png", "size": 134983, "path": "Publication:bayer-2015-gapaot", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/bayer-2015-gapaot/bayer-2015-gapaot-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/bayer-2015-gapaot/bayer-2015-gapaot-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1219 ], "supervisor": [ 166, 935 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 519, "image_height": 291, "name": "bayer-2015-gapaot-.png", "type": "image/png", "size": 134983, "path": "Publication:bayer-2015-gapaot", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/bayer-2015-gapaot/bayer-2015-gapaot-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/bayer-2015-gapaot/bayer-2015-gapaot-:thumb{{size}}.png" }, { "description": "", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bayer-2015-gapaot-Thesis.pdf", "type": "application/pdf", "size": 1811901, "path": "Publication:bayer-2015-gapaot", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/bayer-2015-gapaot/bayer-2015-gapaot-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/bayer-2015-gapaot/bayer-2015-gapaot-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/bayer-2015-gapaot/", "__class": "Publication" }, { "id": "bydlinski-2015-gapaot", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "\"Gangsters and Pranksters: The Art of Thievery\": A Multiplayer Stealth Game in the Context of the Generation of Dynamic Replay Videos", "date": "2015", "abstract": "The projekt \"Gangsters and Pranksters: The Art of Thievery\", which I worked on in cooperation with colleague Alexander Bayer, has two goals: On the one hand, it shall work at its own as an entertaining multiplayer stealth game for up to four human players, on the other hand it was planned from scratch to be fully compatible with the \"Surveillance System\" developed by Peter Mindek for automatically generating dynamic replay videos. This thesis concentrates on the topics user interface, virtual architecture, level design, texturing and creation of an event hierarchy.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 222, "name": "bydlinski-2015-gapaot-.png", "type": "image/png", "size": 72692, "path": "Publication:bydlinski-2015-gapaot", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/bydlinski-2015-gapaot/bydlinski-2015-gapaot-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/bydlinski-2015-gapaot/bydlinski-2015-gapaot-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1218 ], "supervisor": [ 166, 935 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 222, "name": "bydlinski-2015-gapaot-.png", "type": "image/png", "size": 72692, "path": "Publication:bydlinski-2015-gapaot", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/bydlinski-2015-gapaot/bydlinski-2015-gapaot-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/bydlinski-2015-gapaot/bydlinski-2015-gapaot-:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bydlinski-2015-gapaot-Thesis.pdf", "type": "application/pdf", "size": 4219467, "path": "Publication:bydlinski-2015-gapaot", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/bydlinski-2015-gapaot/bydlinski-2015-gapaot-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/bydlinski-2015-gapaot/bydlinski-2015-gapaot-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/bydlinski-2015-gapaot/", "__class": "Publication" }, { "id": "freude-2015-xmc", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2015", "date": "2015", "abstract": "This greeting card shows the branch of a Christmas tree which is decorated with a candle as well as the logos of our institute and the TU Wien.\r\nFor a realistic representation of Subsurface Scattering in the candle and the pine needles, a method called Separable Subsurface Scattering was used, which was developed in cooperation with our institute.\r\nThis image was calculated in real time, with the additional use of HDR rendering and depth-of-field. Only the frost effect and the flame of the candle were added later using GIMP.\r\nThe images on the right show additional examples of the used Subsurface Scattering technique.\r\n\r\nDiese Grußkarte zeigt den Ast eines Christbaums welcher mit einer Kerze sowie den Logos des Instituts und der TU Wien dekoriert ist.\r\nUm eine möglichst realistische Darstellung von Subsurface Scattering in der Kerze sowie den Tannennadeln zu erzielen,\r\nwurde eine Methode namens Separable Subsurface Scattering verwendet, welche in Kooperation mit unserem Institut entwickelt wurde.\r\nDieses Bild wurde in Echtzeit berechnet, unter zusätzlicher Verwendung von HDR Rendering und Tiefenunschärfe.\r\nLediglich der Frost-Effekt sowie die Flamme der Kerze wurden nachträglich mittels GIMP hinzugefügt.\r\nDie Bilder auf der rechten Seite zeigen weitere Beispiele der verwendeten Subsurface Scattering Technik.", "authors_et_al": false, "substitute": null, "main_image": { "description": "X-Mas Card 2015", "filetitle": "Image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1440, "image_height": 1017, "name": "freude-2015-xmc-Image.png", "type": "image/png", "size": 1861057, "path": "Publication:freude-2015-xmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1128 ], "research_areas": [], "keywords": [ "X-Mas Card" ], "weblinks": [], "files": [ { "description": "X-Mas Card 2015", "filetitle": "Card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "freude-2015-xmc-Card.pdf", "type": "application/pdf", "size": 3974053, "path": "Publication:freude-2015-xmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Card:thumb{{size}}.png" }, { "description": "X-Mas Card 2015", "filetitle": "Image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1440, "image_height": 1017, "name": "freude-2015-xmc-Image.png", "type": "image/png", "size": 1861057, "path": "Publication:freude-2015-xmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/", "__class": "Publication" }, { "id": "gostler-2015-3dp", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Denoising Medical Surface Meshes for 3D-Printing", "date": "2015", "abstract": "3D-printed anatomical models obtained from medical volume data (CT, MRI, ultrasound) can be used for surgery-planning, diagnosis, fabrication of implants and education. Surface meshes that are extracted from real-world data typically suffer from noise, as well as other types of artifacts. This thesis compares different common denoising algorithms and asseses their applicability to medical surface meshes, particularly with regard to subsequent 3D-printing. Additionally this thesis proposes an approach to detect and remove long, thin artifacts, which are commonly found in medical data. If they are removed before smoothing, deformations in the smoothed mesh can be prevented and less support structures are needed for 3D-printing.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1275 ], "co_supervisor": [ 935 ], "date_end": "2015-11-30", "date_start": "2015-04-01", "matrikelnr": "1129406", "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "gostler-2015-3dp-Thesis.pdf", "type": "application/pdf", "size": 21068125, "path": "Publication:gostler-2015-3dp", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/gostler-2015-3dp/gostler-2015-3dp-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/gostler-2015-3dp/gostler-2015-3dp-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/gostler-2015-3dp/", "__class": "Publication" }, { "id": "Groeller_Eduard_2015_SMV", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Simplifying Medical Visualization through Sparse Interaction and Reformation, MICCAI 2015 Tutorial on Advanced Medical Visualization", "date": "2015", "abstract": "The concept of curved planar reformation and showed other applications where it makes sense to reformat data sets. Here, he gave an example of the left ventricle of the human heart.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2015-10-05", "date_to": "2015-10-09", "event": "18th International Conference on Medical Image Computing and Computer Assisted Intervention", "location": "Munich, Germany", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Groeller_Eduard_2015_SMV/", "__class": "Publication" }, { "id": "Groeller_Eduard_2015_TCU", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "The Certainly Uncertain Uncertainty Talk", "date": "2015", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2015-01-27", "event": "Workshop on Parameter space/Uncertainty", "location": "Technische Universität München", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Groeller_Eduard_2015_TCU/", "__class": "Publication" }, { "id": "SCHAUKOWITSCH-2015-STELL", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Stellarium 3D Integration", "date": "2015", "abstract": "Scenery3d is a plugin for the open-source Stellarium planetarium application allowing users to freely observe and analyze 3D architectural structures under a realistic astronomical simulation, including realistic lighting and shadowing. During this project, we ported the pre-existing codebase (from 2012) to the current version of Stellarium, which required several structural changes like a change from Qt 4 to Qt 5 and a fully shader-based renderer. We also focused on improving the rendering performance and quality, and increased usability and code maintainability. Because a big feature of Stellarium is the use of non-linear projections which require more sophisticated rendering methods, several steps have been taken to increase the subjective performance of these methods to increase interactivity. For increasing the shadow quality, percentage-closer soft shadows were implemented. Finally, the plugin was made compatible with OpenGL ES 2.0, for use on embedded platforms or desktops without a suitable OpenGL driver. \r\n\r\nLinks:\r\n\r\nStellarium: http://stellarium.org\r\n\r\nLaunchpad (Code): https://code.launchpad.net/~stellarium-scenery3d/stellarium/scenery3d_Qt5\r\n\r\nDirect link to user documentation: https://bazaar.launchpad.net/~stellarium-scenery3d/stellarium/scenery3d_Qt5/download/head:/pluginsscenery3ddocs-20111013124518-6rr9sbb5zt1w2ylg-2/Scenery3d.pdf \r\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 768, "name": "SCHAUKOWITSCH-2015-STELL-.png", "type": "image/png", "size": 447187, "path": "Publication:SCHAUKOWITSCH-2015-STELL", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHAUKOWITSCH-2015-STELL/SCHAUKOWITSCH-2015-STELL-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHAUKOWITSCH-2015-STELL/SCHAUKOWITSCH-2015-STELL-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1093 ], "date_end": "2015-03-12", "date_start": "2014-10-13", "matrikelnr": "0927289", "supervisor": [ 193, 222 ], "research_areas": [], "keywords": [ "stellarium" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 768, "name": "SCHAUKOWITSCH-2015-STELL-.png", "type": "image/png", "size": 447187, "path": "Publication:SCHAUKOWITSCH-2015-STELL", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHAUKOWITSCH-2015-STELL/SCHAUKOWITSCH-2015-STELL-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHAUKOWITSCH-2015-STELL/SCHAUKOWITSCH-2015-STELL-:thumb{{size}}.png" }, { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "SCHAUKOWITSCH-2015-STELL-image.png", "type": "image/png", "size": 447187, "path": "Publication:SCHAUKOWITSCH-2015-STELL", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHAUKOWITSCH-2015-STELL/SCHAUKOWITSCH-2015-STELL-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHAUKOWITSCH-2015-STELL/SCHAUKOWITSCH-2015-STELL-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHAUKOWITSCH-2015-STELL/", "__class": "Publication" }, { "id": "textures-3d-printing", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Projector-Based Textures for 3D-Printed Models - Tangible Molecular Visualization", "date": "2015", "abstract": "The now widely available 3D-printing technology enables structural molecular biologists to easily produce tangible models of large and complex molecules, which can aid them in understanding their spatial structure. Those models, however, are static and often monochrome, therefore their information content cannot compete with existing screenbased visualization solutions. Following the paradigm of spatial augmented reality, we present an approach to dynamically visualize molecular properties directly on the surface of 3D-printed tangible models, using a digital projector. We developed a prototype system consisting of hardware and software, that enables the tracking of the tangible model and the rendering of colorcoded molecular properties, which are then projected onto the tangible surface. Using knowledge about the geometry of the molecular model, the optical properties of the digital projector and the exact spatial relation between projector and model, the rendered projections are updated in real-time, such that they stay registered with the tangible model during user interaction. We evaluated the usability and potential applicability of the developed system by collecting feedback from domain experts from the fields of biochemistry and molecular\r\nbiology.", "authors_et_al": false, "substitute": null, "main_image": { "description": "tangible molecule model", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 419, "image_height": 346, "name": "textures-3d-printing-teaser.png", "type": "image/png", "size": 436037, "path": "Publication:textures-3d-printing", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1037 ], "date_end": "2015-10", "date_start": "2014-10", "diploma_examina": "2015-11-12", "matrikelnr": "0927175", "supervisor": [ 1110, 950, 171 ], "research_areas": [], "keywords": [ "augmented reality", "3D textures", "biomedical visualization" ], "weblinks": [], "files": [ { "description": "the poster used for the EPILOG", "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1254, "preview_image_height": 799, "name": "textures-3d-printing-poster.pdf", "type": "application/pdf", "size": 3953886, "path": "Publication:textures-3d-printing", "preview_name": "textures-3d-printing-poster:preview.png", "preview_type": "image/png", "preview_size": 3011559, "url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-poster:thumb{{size}}.png" }, { "description": "tangible molecule model", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 419, "image_height": 346, "name": "textures-3d-printing-teaser.png", "type": "image/png", "size": 436037, "path": "Publication:textures-3d-printing", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-teaser:thumb{{size}}.png" }, { "description": "the final masters thesis", "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 594, "preview_image_height": 537, "name": "textures-3d-printing-thesis.pdf", "type": "application/pdf", "size": 9933048, "path": "Publication:textures-3d-printing", "preview_name": "textures-3d-printing-thesis:preview.png", "preview_type": "image/png", "preview_size": 959071, "url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-thesis:thumb{{size}}.png" }, { "description": "demo video (4.5 MB)", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 976, "preview_image_height": 616, "name": "textures-3d-printing-video.mp4", "type": "video/mp4", "size": 4615666, "path": "Publication:textures-3d-printing", "preview_name": "textures-3d-printing-video:preview.png", "preview_type": "image/png", "preview_size": 1807242, "url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-video:video.mp4" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/", "__class": "Publication" }, { "id": "wallner-2015-ModelingRoutinization", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Modeling Routinization in Games: An Information Theory Approach", "date": "2015", "abstract": "Routinization is the result of practicing until an action stops being a goal-directed process. This paper formulates a definition of routinization in games based on prior\nresearch in the fields of activity theory and practice theory. Routinization is analyzed using the formal model of discrete-time, discrete-space Markov chains and\ninformation theory to measure the actual error between the dynamically trained models and the player interaction. Preliminary research supports the hypothesis that Markov\nchains can be effectively used to model routinization in games. A full study design is presented to further explore\nand verify this hypothesis.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 745, 1265, 779, 193 ], "booktitle": "Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play", "date_from": "2015-10-05", "date_to": "2015-10-07", "isbn": "978-1-4503-3466-2", "location": "London, United Kingdom", "pages_from": "727", "pages_to": "732", "publisher": "ACM", "series": "CHI PLAY ", "research_areas": [ "Rendering" ], "keywords": [ "Games", "Routinization", "Markov Chains", "Information Theory" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Extended Abstract", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 563, "preview_image_height": 411, "name": "wallner-2015-ModelingRoutinization-Extended Abstract.pdf", "type": "application/pdf", "size": 981363, "path": "Publication:wallner-2015-ModelingRoutinization", "preview_name": "wallner-2015-ModelingRoutinization-Extended Abstract:preview.png", "preview_type": "image/png", "preview_size": 196010, "url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-ModelingRoutinization/wallner-2015-ModelingRoutinization-Extended Abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-ModelingRoutinization/wallner-2015-ModelingRoutinization-Extended Abstract:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wallner-2015-ModelingRoutinization-Poster.pdf", "type": "application/pdf", "size": 2369479, "path": "Publication:wallner-2015-ModelingRoutinization", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-ModelingRoutinization/wallner-2015-ModelingRoutinization-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-ModelingRoutinization/wallner-2015-ModelingRoutinization-Poster:thumb{{size}}.png" }, { "description": null, "filetitle": "Talk", "main_file": false, "use_in_gallery": false, "access": "public", "name": "wallner-2015-ModelingRoutinization-Talk.pdf", "type": "application/pdf", "size": 2750150, "path": "Publication:wallner-2015-ModelingRoutinization", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-ModelingRoutinization/wallner-2015-ModelingRoutinization-Talk.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-ModelingRoutinization/wallner-2015-ModelingRoutinization-Talk:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-ModelingRoutinization/", "__class": "Publication" }, { "id": "WIMMER-2015-CGFC", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Real-Time Computer Graphics and the Future of CAAD", "date": "2015", "abstract": "The gap between real-time and non-real-time computer graphics is closing. Current approaches are able to render large amounts of geometry at interactive rates while at the same time providing an unprecedented level of feedback and support for the user. Given these developments, it will be possible to bridge the classical divide between CAAD modelling and visualization that is still pre-eminent in the architectural world. This keynote talk will take one step into this direction, presenting both recent research conducted at TU Wien's Rendering Group and the computer graphics community world-wide.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193 ], "date_from": "2015-09-16", "date_to": "2015-09-18", "event": "33rd Annual eCAADe conference", "location": "Vienna, Austria", "research_areas": [ "Modeling" ], "keywords": [ "computer graphics" ], "weblinks": [], "files": [], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WIMMER-2015-CGFC/", "__class": "Publication" }, { "id": "WIMMER-2015-CGMC", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Computer Graphics Meets Computational Design", "date": "2015", "abstract": "In this talk, I will report on recent advancements in Computer Graphics, which will be of great interest for next-generation computational design tools. I will present methods for modeling from images, modeling by examples and multiple examples, but also procedural modeling, modeling of physical behavior and light transport, all recently developed in our group. The common rationale behind our research is that we exploit real-time processing power and computer graphics algorithms to enable interactive computational design tools that allow short feedback loops in design processes.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193 ], "date_from": "2015-10-20", "date_to": "2015-10-20", "event": "VGS Invited Talks Series", "location": "Brno University of Technology, Czech Republic", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WIMMER-2015-CGMC/", "__class": "Publication" }, { "id": "mindek-2015-mctalk", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Automatized Summarization of Multiplayer Games", "date": "2015", "abstract": "We present a novel method for creating automatized gameplay dramatization of multiplayer video games. The dramatization serves as a visual form of guidance through dynamic 3D scenes with multiple foci, typical for such games. Our goal is to convey interesting aspects of the gameplay by animated sequences creating a summary of events which occurred during the game. Our technique is based on processing many cameras, which we refer to as a flock of cameras, and events captured during the gameplay, which we organize into a so-called event graph. Each camera has a lifespan with a certain time interval and its parameters such as position or look-up vector are changing over time. Additionally, during its lifespan each camera is assigned an importance function, which is dependent on the significance of the structures that are being captured by the camera. The images captured by the cameras are composed into a single continuous video using a set of operators based on cinematographic effects. The sequence of operators is selected by traversing the event graph and looking for specific patterns corresponding to the respective operators. In this way, a large number of cameras can be processed to generate an informative visual story presenting the gameplay. Our compositing approach supports insets of camera views to account for several important cameras simultaneously. Additionally, we create seamless transitions between individual selected camera views in order to preserve temporal continuity, which helps the user to follow the virtual story of the gameplay.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 635, "image_height": 479, "name": "mindek-2015-mctalk-.jpg", "type": "image/jpeg", "size": 32296, "path": "Publication:mindek-2015-mctalk", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mctalk/mindek-2015-mctalk-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mctalk/mindek-2015-mctalk-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935 ], "date_from": "2015-05-04", "event": "Numerical Geometry Seminar", "location": "Comenius University in Bratislava", "research_areas": [], "keywords": [ "Animation", "Storytelling", "Game Visualization" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 635, "image_height": 479, "name": "mindek-2015-mctalk-.jpg", "type": "image/jpeg", "size": 32296, "path": "Publication:mindek-2015-mctalk", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mctalk/mindek-2015-mctalk-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mctalk/mindek-2015-mctalk-:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mctalk/", "__class": "Publication" }, { "id": "mindek-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Integrated Exploration and Management of Visualization Parameters", "date": "2015", "abstract": "Visualization algorithms are parameterized to offer universality in terms of handling various data types, showing different aspects of the visualized data, or producing results useful for domain experts from different fields. Hence, input parameters are an important aspect of the visualization process. Their exploration and management are tasks which enable the visualization reusability, portability, and interdisciplinary communication.\n\nWith increasing availability of visualization systems, which are suitable for a great variety of tasks, their complexity increases as well. This usually involves many input parameters necessary for the meaningful visualization of data. Multiple input parameters form parameter spaces which are too large to be explored by brute-force. Knowing the properties of a parameter space is often beneficial for improving data visualization. Therefore, it is important for domain experts utilizing data visualization to have tools for automatic parameter specification and for aiding the manual parameter setting.\n\nIn this thesis, we review existing approaches for parameter-space visualization, exploration, and management. These approaches are used with a great variety of underlying algorithms. We focus on their applicability to visualization algorithms. We propose three methods solving specific problems arising from the fact that the output of a visualization algorithm is an image, which is challenging to process automatically and often needs to be analyzed by a human.\n\nFirst, we propose a method for the exploration of parameter-spaces of visualization algorithms. The method is used to understand effects of combinations of parameters and parts of the internal structure of the visualization algorithms on the final image result. The exploration is carried out by specifying semantics for localized parts of the visualization images in the form of positive and negative examples influenced by a set of input parameters or parts of the visualization algorithm itself. After specifying the localized semantics, global effects of the specified components of the visualization algorithm can be observed. The method itself is independent from the underlying algorithm.\n\nSubsequently, we present a method for managing image-space selections in visualizations and automatically link them with the context in which they were created. The context is described by the values of the visualization parameters influencing the output image. The method contains a mechanism for linking additional views to the selections, allowing the user an effective management of the visualization parameters whose effects are localized to certain areas of the visualizations. We present various applications for the method, as well as an implementation in the form of a library, which is ready to be used in existing visualization systems.\n\nOur third method is designed to integrate dynamic parameters stored during a multiplayer video game session by the individual participating players. For each player, the changing parameter values of the game describe their view of the gameplay. Integrating these multiple views into a single continuous visual narrative provides means for effective summarization of gameplays, useful for entertainment, or even gameplay analysis purposes by semi-professional or professional players. We demonstrate the utility of our approach on an existing video game by producing a gameplay summary of a multiplayer game session. The proposed method opens possibilities for further research in the areas of storytelling, or at a more abstract level, parameter integration for visual computing algorithms.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 212, "name": "mindek-thesis-.png", "type": "image/png", "size": 22082, "path": "Publication:mindek-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935 ], "date_end": "2015-06", "date_start": "2011-10", "reviewer_1": [ 161 ], "reviewer_2": [ 166 ], "rigorosum": "2015-06-30", "supervisor": [ 161 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 212, "name": "mindek-thesis-.png", "type": "image/png", "size": 22082, "path": "Publication:mindek-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-:thumb{{size}}.png" }, { "description": null, "filetitle": "Defense Slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-thesis-Defense Slides.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 47178838, "path": "Publication:mindek-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-Defense Slides.pptx", "thumb_image_sizes": [] }, { "description": null, "filetitle": "Dissertation", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-thesis-Dissertation.pdf", "type": "application/pdf", "size": 13757991, "path": "Publication:mindek-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-Dissertation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-Dissertation:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/", "__class": "Publication" }, { "id": "mistelbauer-2015-abvv", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Advanced Blood Vessel Visualization", "date": "2015", "abstract": "Visualizations of vascular structures are frequently used in radiological investigations to detect and analyze vascular diseases. Thus, the analysis of blood vessels for their diagnosis and treatment are important research fields of radiology. Angiographic interventions, such as stenting, balloon dilatation, or bypass surgery, need to be planned with care and precision, due to their major impact on the patient’s health state. In order to optimally decide on the therapeutic procedure, specific diagnostic methods are required. They assess the health state of blood vessels and answer clinically relevant questions such as, e.g., if blood is partially or entirely hindered from flowing through a vessel by a clot or a mineral deposition on the vessel wall, such as a calcification.\r\n\r\nIn this talk, I will present Curved Planar Reformation (CPR), a method that is designed for the investigation of peripheral arteries. This technique creates a curved plane along the centerlines of blood vessels, revealing their interior, or lumen. This allows radiologists to precisely judge if blood is able to flow through a vessel or if it is significantly hindered, as in the case of a stenosis. I will also introduce advanced methods, like Curved Surface Reformation (CSR), which computes the vessel lumen entirely in 3D, offering high-quality interactive visualizations of the vessels' interior. While it is possible with conventional CPR methods to examine the whole vessel lumen by rotating around the centerline of a vessel, I will present other possibilities of visualizing vascular structures, such as Curvicircular Feature Aggregation (CFA). This approach aggregates the single rotated images of CPR into a single view. By eliminating the need for rotation, blood vessels can be investigated by inspecting only one image. This method can be used as a guidance and visual analysis tool for treatment planning. As vessel visualization provides very specific insight, the overall contextual information outside the vessel lumen might deteriorate. I will present means how to overcome this by providing a spatial indication. Advancing to visualization of the cerebral arteries, I will present an approach how to automatically extract the Circle of Willis and assess the morphology of this arterial circle within a single visualization.\r\n\r\nDespite being an important part of many analysis pipelines, the segmentation of blood vessels commonly requires manual inspection and correction. While plenty of volume editing techniques exist, it remains cumbersome and error-prone for the user to find and select appropriate regions for editing. In this talk, I will present the application of a general volume editing technique to the domain of vascular structures and how it reduces the necessary interaction to obtain high-quality segmentations.\r\n\r\nDue to the ever growing volume of acquired data and information, users have to be constantly aware of the methods for their exploration and for interaction. Owing to this, innovations may be used inappropriately and users may become skeptical. In this talk, I will present a knowledge-assisted interface for medical visualization, which reduces the necessary effort to use new visualization methods, by providing only the most relevant ones in a smart way. Consequently, we are able to expand such a system with innovations without the users to worry about when, where, and especially how they may or should use them. I will show how to apply this concept in the context of blood vessels investigations.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 869 ], "date_from": "2015-10-14", "date_to": "2015-10-16", "event": "Invited Talk", "location": "Otto-von-Guericke University Magdeburg, Germany", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mistelbauer-2015-abvv/", "__class": "Publication" }, { "id": "musialski-2015-ista", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Reduced-Order Shape Optimization Using Offset Surfaces", "date": "2015", "abstract": "Given the 2-manifold surface of a 3d object, we propose a novel method for the computation of an offset surface with varying thickness such that the solid volume between the surface and its offset satisfies a set of prescribed constraints and at the same time minimizes a given objective functional. Since the constraints as well as the objective functional can easily be adjusted to specific application requirements, our method provides a flexible and powerful tool for shape optimization. We use manifold harmonics to derive a reduced-order formulation of the optimization problem, which guarantees a smooth offset surface and speeds up the computation independently from the input mesh resolution without affecting the quality of the result. The constrained optimization problem can be solved in a numerically robust manner with commodity solvers. Furthermore, the method allows simultaneously optimizing an inner and an outer offset in order to increase the degrees of freedom. We demonstrate our method in a number of examples where we control the physical mass properties of rigid objects for the purpose of 3d printing. \r\n\r\n\r\nLink: https://ist.ac.at/events/symposia-conferences/2015/siggraph-nano-ist-austria/date/433/", "authors_et_al": false, "substitute": null, "main_image": { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1600, "image_height": 900, "name": "musialski-2015-ista-thumbnail.png", "type": "image/png", "size": 138609, "path": "Publication:musialski-2015-ista", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/musialski-2015-ista-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/musialski-2015-ista-thumbnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844 ], "date_from": "2015-06-24", "date_to": "2015-06-24", "event": "SIGGRAPH Nano @ Institute of Science and Technology (IST), Austria", "location": "Institute of Science and Technology (IST), Austria", "research_areas": [], "keywords": [ "geometry processing", "digital fabrication", "shape optimization" ], "weblinks": [], "files": [ { "description": "slides", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "musialski-2015-ista-slides.pdf", "type": "application/pdf", "size": 4213999, "path": "Publication:musialski-2015-ista", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/musialski-2015-ista-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/musialski-2015-ista-slides:thumb{{size}}.png" }, { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1600, "image_height": 900, "name": "musialski-2015-ista-thumbnail.png", "type": "image/png", "size": 138609, "path": "Publication:musialski-2015-ista", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/musialski-2015-ista-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/musialski-2015-ista-thumbnail:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/", "__class": "Publication" }, { "id": "musialski-2015-pixel", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Computational Design for Consumer-Level Fabrication", "date": "2015", "abstract": "Digital fabrication is currently a rapidly emerging field in several science and engineering fields. Especially the technique of additive manufacturing (AM), commonly referred to as 3d printing, is a fast growing area. While this technology is in essence not new, the recent expiration of key patents for 3d-printing technology led to a break-through, which already also arrived at the consumer-level 3d-printers market. This development brings about novel requirements on digital model design. Traditional fields used to deal with digital manufacturing, like rapid prototyping, material sciences, or industrial engineering learned to deal with existing CAD-software in order to create digital content. However, the expansion of the digital fabrication technology into everybody’s homes and offices brings about the demand for novel paradigms of consumer-level computational design. This novel personal fabrication aims at bridging the gap between the still advancing digital domain and the “good old” physical world. In this talk I will give an overview of current development of such computational design in the field of computer graphics and provide details on an example application. \r\n\r\nLink: http://www.pixelvienna.com/10/event/talks#musialski", "authors_et_al": false, "substitute": null, "main_image": { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1648, "image_height": 927, "name": "musialski-2015-pixel-thumbnail.png", "type": "image/png", "size": 101955, "path": "Publication:musialski-2015-pixel", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/musialski-2015-pixel-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/musialski-2015-pixel-thumbnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844 ], "date_from": "2015-11-01", "date_to": "2015-11-01", "event": "PIXEL X - Annual Austrian Computer Graphics and Animation Conference, Vienna, Austria", "location": "PIXEL X, TU Wien, Karlsplatz 1, Vienna, Austria", "research_areas": [], "keywords": [ "digital fabrication", "geometry processing", "shape optimization", "computational design" ], "weblinks": [], "files": [ { "description": "slides", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "musialski-2015-pixel-slides.pdf", "type": "application/pdf", "size": 2432505, "path": "Publication:musialski-2015-pixel", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/musialski-2015-pixel-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/musialski-2015-pixel-slides:thumb{{size}}.png" }, { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1648, "image_height": 927, "name": "musialski-2015-pixel-thumbnail.png", "type": "image/png", "size": 101955, "path": "Publication:musialski-2015-pixel", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/musialski-2015-pixel-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/musialski-2015-pixel-thumbnail:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/", "__class": "Publication" }, { "id": "musialski-2015-vrvis", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Shape Optimization for Consumer-Level 3D Printing", "date": "2015", "abstract": "Traditionally, 3d modelling in computer graphics deals with the geometric and visual aspects of 3d shapes. On the other hand, due to the growing capabilities of personal digital fabrication technology and its spread into offices and homes, 3d models are increasingly entering the physical world. Therefore, the physical properties of 3d models come into focus. For example, 3d-printed models should be able to stand balanced in a desired pose without toppling over, or should react in certain ways when external forces are applied, like spinning the object. It is thus desirable to have methods that allow the user to specify the intended physical properties of an object in addition to its 3d geometry, and which automatically take these properties into account when generating a specification for a 3d printer.\r\n\r\nIn this talk I will give an introduction to such computational design problems and introduce our novel method for shape optimization based on offset surfaces.\r\n\r\n\r\nLink: http://www.vrvis.at/research/events/vrvisforum/vrvisforum-123-29.10.2015", "authors_et_al": false, "substitute": null, "main_image": { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1600, "image_height": 900, "name": "musialski-2015-vrvis-thumbnail.png", "type": "image/png", "size": 96358, "path": "Publication:musialski-2015-vrvis", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/musialski-2015-vrvis-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/musialski-2015-vrvis-thumbnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844 ], "date_from": "2015-10-29", "date_to": "2015-10-29", "event": "VRVisForum #123", "location": "VRVis, Techgate Vienna, Austria", "research_areas": [], "keywords": [ "shape optimization", "geometry processing", "digital fabrication" ], "weblinks": [], "files": [ { "description": "slides", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "musialski-2015-vrvis-slides.pdf", "type": "application/pdf", "size": 2945919, "path": "Publication:musialski-2015-vrvis", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/musialski-2015-vrvis-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/musialski-2015-vrvis-slides:thumb{{size}}.png" }, { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1600, "image_height": 900, "name": "musialski-2015-vrvis-thumbnail.png", "type": "image/png", "size": 96358, "path": "Publication:musialski-2015-vrvis", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/musialski-2015-vrvis-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/musialski-2015-vrvis-thumbnail:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/", "__class": "Publication" }, { "id": "PERNDORFER-2015-ECS", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Exploring Cells via Serious Gaming", "date": "2015", "abstract": "Es wurde ein Spiel entwickelt, dass z.B. Schülern grundlegende Mechanismen der Zellbiologie spielerisch näherbringt.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1269, 1270 ], "date_end": "2016-08-01", "date_start": "2015-10-22", "matrikelnr": "1025707,1025098", "supervisor": [ 193 ], "research_areas": [ "MedVis", "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": "Executable game", "filetitle": "Binary", "main_file": true, "use_in_gallery": false, "access": "public", "name": "PERNDORFER-2015-ECS-Binary.zip", "type": "application/x-zip-compressed", "size": 645213376, "path": "Publication:PERNDORFER-2015-ECS", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/PERNDORFER-2015-ECS/PERNDORFER-2015-ECS-Binary.zip", "thumb_image_sizes": [] }, { "description": "Seminar paper describing the game", "filetitle": "seminar paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "PERNDORFER-2015-ECS-seminar paper.pdf", "type": "application/pdf", "size": 4991512, "path": "Publication:PERNDORFER-2015-ECS", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/PERNDORFER-2015-ECS/PERNDORFER-2015-ECS-seminar paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/PERNDORFER-2015-ECS/PERNDORFER-2015-ECS-seminar paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/PERNDORFER-2015-ECS/", "__class": "Publication" }, { "id": "Purg2015-a", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Was ist denn Farbe eigentlich?", "date": "2015", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2015-03-26", "event": "Farben?-Farben!", "location": "Kunst-Volkshochschule Wien", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-a/", "__class": "Publication" }, { "id": "Purg2015-b", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Computing in Österreich", "date": "2015", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2015-03-27", "event": "Medienseminar Informatik der Plattform informatik_austria", "location": "Wien", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-b/", "__class": "Publication" }, { "id": "Purg2015-c", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Computer Graphics in Real-World Applications", "date": "2015", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2015-06-10", "event": "Visual Computing Workshop at the OCG-Jahrestagung", "location": "Wien", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-c/", "__class": "Publication" }, { "id": "Purg2015-d", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Industrial Use of Mixed Reality in VRVis Projects", "date": "2015", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2015-09-07", "event": "VISIC'2015 Int'l Symposium on Virtual Reality, Augmented Reality and Visual Computing Application Technology", "location": "Beijing, China", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-d/", "__class": "Publication" }, { "id": "Purgathofer-2015-WA", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Überblick Visual Computing: Teilbereiche und Anwendungsfelder", "date": "2015", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2015-11-19", "event": "Business Treff \"Visual Computing\"", "location": "Wien", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "pdf of the slides used", "filetitle": "Talk slides ", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Purgathofer-2015-WA-Talk slides .pdf", "type": "application/pdf", "size": 1720113, "path": "Publication:Purgathofer-2015-WA", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purgathofer-2015-WA/Purgathofer-2015-WA-Talk slides .pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purgathofer-2015-WA/Purgathofer-2015-WA-Talk slides :thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purgathofer-2015-WA/", "__class": "Publication" }, { "id": "raidou_EuroVis15", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visual analytics for the exploration of tumor tissue characterization", "date": "2015", "abstract": "Tumors are heterogeneous tissues consisting of multiple regions with distinct characteristics. Characterization ofthese intra-tumor regions can improve patient diagnosis and enable a better targeted treatment. Ideally, tissuecharacterization could be performed non-invasively, using medical imaging data, to derive per voxel a number offeatures, indicative of tissue properties. However, the high dimensionality and complexity of this imaging-derivedfeature space is prohibiting for easy exploration and analysis - especially when clinical researchers require toassociate observations from the feature space to other reference data, e.g., features derived from histopathologicaldata. Currently, the exploratory approach used in clinical research consists of juxtaposing these data, visuallycomparing them and mentally reconstructing their relationships. This is a time consuming and tedious process,from which it is difficult to obtain the required insight. We propose a visual tool for: (1) easy exploration and visualanalysis of the feature space of imaging-derived tissue characteristics and (2) knowledge discovery and hypothesisgeneration and confirmation, with respect to reference data used in clinical research. We employ, as central view,a 2D embedding of the imaging-derived features. Multiple linked interactive views provide functionality for theexploration and analysis of the local structure of the feature space, enabling linking to patient anatomy andclinical reference data. We performed an initial evaluation with ten clinical researchers. All participants agreedthat, unlike current practice, the proposed visual tool enables them to identify, explore and analyze heterogeneousintra-tumor regions and particularly, to generate and confirm hypotheses, with respect to clinical reference data.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410, 1446, 1454, 1455, 1456, 679, 459 ], "journal": "In Computer Graphics Forum", "lecturer": [ 1460, 1448, 1449 ], "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_EuroVis15-paper.pdf", "type": "application/pdf", "size": 2846498, "path": "Publication:raidou_EuroVis15", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/raidou_EuroVis15/raidou_EuroVis15-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/raidou_EuroVis15/raidou_EuroVis15-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_EuroVis15-video.mp4", "type": "video/mp4", "size": 30229493, "path": "Publication:raidou_EuroVis15", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/raidou_EuroVis15/raidou_EuroVis15-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/raidou_EuroVis15/raidou_EuroVis15-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2015/raidou_EuroVis15/raidou_EuroVis15-video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/raidou_EuroVis15/", "__class": "Publication" }, { "id": "raidou_vis15", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Orientation-Enhanced Parallel Coordinate Plots", "date": "2015", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410, 1451, 679, 823, 459 ], "journal": "IEEE transactions on visualization and computer graphics", "lecturer": [ 1452, 1453, 1448 ], "number": "1", "pages_from": "589", "pages_to": "598", "volume": "22", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_vis15-paper.pdf", "type": "application/pdf", "size": 3927905, "path": "Publication:raidou_vis15", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/raidou_vis15/raidou_vis15-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/raidou_vis15/raidou_vis15-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/raidou_vis15/", "__class": "Publication" }, { "id": "mindek-2014-mcs", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Managing Spatial Selections with Contextual Snapshots", "date": "2014-12", "abstract": "Spatial selections are a ubiquitous concept in visualization. By localizing particular features, they can be analyzed and compared in different views. However, the semantics of such selections often depend on specific parameter settings and it can be difficult to reconstruct them without additional information. In this paper, we present the concept of contextual snapshots as an effective means for managing spatial selections in visualized data. The selections are automatically associated with the context in which they have been created. Contextual snapshots can also be used as the basis for interactive integrated and linked views, which enable in-place investigation and comparison of multiple visual representations of data. Our approach is implemented as a flexible toolkit with well-defined interfaces for integration into existing systems. We demonstrate the power and generality of our techniques by applying them to several distinct scenarios such as the visualization of simulation data, the analysis of historical documents, and the display of anatomical data.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 153, "name": "mindek-2014-mcs-.png", "type": "image/png", "size": 77248, "path": "Publication:mindek-2014-mcs", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935, 166, 161 ], "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "8", "pages_from": "132", "pages_to": "144", "volume": "33", "research_areas": [], "keywords": [ "annotations", "spatial selections", "visual analytics", "interaction" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12406/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 153, "name": "mindek-2014-mcs-.png", "type": "image/png", "size": 77248, "path": "Publication:mindek-2014-mcs", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-:thumb{{size}}.png" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2014-mcs-Paper.pdf", "type": "application/pdf", "size": 11838194, "path": "Publication:mindek-2014-mcs", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-Paper:thumb{{size}}.png" }, { "description": "", "filetitle": "Video", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": 800, "preview_image_height": 600, "name": "mindek-2014-mcs-Video.avi", "type": "video/x-msvideo", "size": 27776988, "path": "Publication:mindek-2014-mcs", "preview_name": "mindek-2014-mcs-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 28770, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-Video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-Video:video.mp4" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/", "__class": "Publication" }, { "id": "Purgathofer-2014-PanEu", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "Requirements on the Staff of an Application Oriented Research Organization", "date": "2014-12", "abstract": "The VRVis Research Center in Vienna is the largest technology transfer institution in the area of Visual Computing in Austria. The requirements of the funding body FFG include the publication of scientific research results in first class peer reviewed media, and the active cooperation with co-funding companies. As a consequence the requirements on the staff of VRVis are manifold: they have to communicate with real users, use real data, know about software and hardware, understand the market, do professional documentation, initiate new projects and write funding proposals for these, be part of the scientific community and publish and review papers, manage several projects in parallel and obey strict deadlines for their projects and some more. Such staff is barely available and must be trained on the job.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Purgathofer-2014-PanEu-.pdf", "type": "application/pdf", "size": 17386, "path": "Publication:Purgathofer-2014-PanEu", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-PanEu/Purgathofer-2014-PanEu-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-PanEu/Purgathofer-2014-PanEu-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "booktitle": "Current Issues of Science and Research in the Global World", "chapter": "Proceedings of the International Conference on Current Issues of Science and Research in the Global World, Vienna, Austria; 27–28 May 2014", "editor": "Vlasta Kunova, Martin Dolinsky", "isbn": "9781138027398", "note": "December 15, 2014 by CRC Press", "publisher": "CRC Balkema Press, Netherlands", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Purgathofer-2014-PanEu-.pdf", "type": "application/pdf", "size": 17386, "path": "Publication:Purgathofer-2014-PanEu", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-PanEu/Purgathofer-2014-PanEu-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-PanEu/Purgathofer-2014-PanEu-:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-PanEu/", "__class": "Publication" }, { "id": "Bauer_Johannes_2014_IWB", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Integration of Web-Based Information Visualizations into a Scientific Visualization Environment", "date": "2014-12", "abstract": "Today’s neuro-biological research is often based on brains of the Drosophila Melanogaster, the commonly known fruit fly. To study the function of neuronal circuits scientists often have to\ncompare the neuronal structures of a set of different brains. Their aim is to find out how complex behavior is generated. Therefore the scientists at the Institute of Molecular Pathology (IMP) in Vienna are using a confocal microscope to produce volumetric images of Drosophila brains. Today they have acquired more than 40.000 images and a large amount of additional data.\n\nIn many cases 3D renderings of these volumetric images are not sufficient to solve certain scientific problems especially when multiple brains have to be considered. Therefore the researchers\nrely on additional data which is stored in databases. The problem here is that the scientists have two different data sources without a connection between them. On the one hand there are the volumetric images and on the other hand there is the additional data which has\ncertain relations to the brains.\n\nThis thesis proposes a software design concept to establish a connection between 3D renderings of volumetric images and additional data by using information visualizations. Highlighting\ntechniques can be introduced to link volume visualizations of the brains to related data visualized by 2D information visualizations. Therefore the implementation of this design concept gets integrated into an existing scientific visualization environment. To evaluate this concept\ncommon neuro-biological use cases are introduced and it is described how the implementation of this design concept supports the work flow of the researchers.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1224 ], "matrikelnr": "?", "supervisor": [ 166, 231 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Bauer_Johannes_2014_IWB-Poster.pdf", "type": "application/pdf", "size": 6803423, "path": "Publication:Bauer_Johannes_2014_IWB", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Bauer_Johannes_2014_IWB/Bauer_Johannes_2014_IWB-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Bauer_Johannes_2014_IWB/Bauer_Johannes_2014_IWB-Poster:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Bauer_Johannes_2014_IWB-Thesis.pdf", "type": "application/pdf", "size": 7003243, "path": "Publication:Bauer_Johannes_2014_IWB", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Bauer_Johannes_2014_IWB/Bauer_Johannes_2014_IWB-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Bauer_Johannes_2014_IWB/Bauer_Johannes_2014_IWB-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Bauer_Johannes_2014_IWB/", "__class": "Publication" }, { "id": "beham-2014-cupid", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Cupid: Cluster-based Exploration of Geometry Generators with Parallel Coordinates and Radial Trees", "date": "2014-12", "abstract": "Geometry generators are commonly used in video games and evaluation systems for computer vision to create geometric shapes such as terrains, vegetation or airplanes. The parameters of the generator are often sampled automatically which can lead to many similar or unwanted geometric shapes. In this paper, we propose a novel visual exploration approach that combines the abstract parameter space of the geometry generator with the resulting 3D shapes in a composite visualization. Similar geometric shapes are first grouped using hierarchical clustering and then nested within an illustrative parallel coordinates visualization. This helps the user to study the sensitivity of the generator with respect to its parameter space and to identify invalid parameter settings. Starting from a compact overview representation, the user can iteratively drill-down into local shape differences by clicking on the respective clusters. Additionally, a linked radial tree gives an overview of the cluster hierarchy and enables the user to manually split or merge clusters. We evaluate our approach by exploring the parameter space of a cup generator and provide feedback from domain experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 307, "image_height": 255, "name": "beham-2014-cupid-teaser.png", "type": "image/png", "size": 235549, "path": "Publication:beham-2014-cupid", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 816, 1193, 166, 983 ], "date_from": "2014-11-09", "date_to": "2014-11-14", "event": "IEEE VIS 2014", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 816 ], "location": "Paris, France", "number": "12", "pages_from": "1693", "pages_to": "1702 ", "volume": "20", "research_areas": [ "InfoVis" ], "keywords": [ "3D shape analysis", "radial trees", "hierarchical clustering", "illustrative parallel coordinates", "composite visualization" ], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2014.2346626", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "comparison of selected 3D shapes", "filetitle": "data-comparison", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 349, "image_height": 310, "name": "beham-2014-cupid-data-comparison.png", "type": "image/png", "size": 325461, "path": "Publication:beham-2014-cupid", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-data-comparison.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-data-comparison:thumb{{size}}.png" }, { "description": "draft report (accepted for publication by IEEE)", "filetitle": "draft", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 717, "preview_image_height": 643, "name": "beham-2014-cupid-draft.pdf", "type": "application/pdf", "size": 7298756, "path": "Publication:beham-2014-cupid", "preview_name": "beham-2014-cupid-draft:preview.png", "preview_type": "image/png", "preview_size": 1386025, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-draft:thumb{{size}}.png" }, { "description": "cluster view, where clusters can be merged/split", "filetitle": "radial-tree", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 345, "image_height": 337, "name": "beham-2014-cupid-radial-tree.png", "type": "image/png", "size": 349754, "path": "Publication:beham-2014-cupid", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-radial-tree.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-radial-tree:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 307, "image_height": 255, "name": "beham-2014-cupid-teaser.png", "type": "image/png", "size": 235549, "path": "Publication:beham-2014-cupid", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-teaser:thumb{{size}}.png" }, { "description": "animated transitions between different levels in the cluster hierarchy", "filetitle": "transitions", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 303, "image_height": 178, "name": "beham-2014-cupid-transitions.png", "type": "image/png", "size": 162296, "path": "Publication:beham-2014-cupid", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-transitions.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-transitions:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/", "__class": "Publication" }, { "id": "Bernhard_Matthias_2014_VAC", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Visual Attention in Computer Graphics", "date": "2014-12", "abstract": "This thesis is concerned with gaze analysis methods to study visual attention in interactive 3D computer-graphics applications, such as virtual environments or computer games. Under this scope, research has been carried out in two directions: On the one hand, it was investigated how gaze analysis in three-dimensional virtual environments can be advanced. On the other hand, approaches were explored which improve three-dimensional graphics by taking into account visual attention of a user.\r\n\r\nTo advance gaze analysis in 3D computer graphics applications, two challenges have been\r\naddressed: First, inferring the object of attention at a certain point in time from the current output of an eye tracker – a technique which we denote as gaze-to-object mapping –, and second, deriving a statistical model for visual attention - a data structure we denote as importance map - from sequences of gaze samples recorded from many users. While addressing these challenges is a crucial step towards advancing gaze analysis and research on visual attention which employs modern computer graphics, the results may also be used in applications which attempt to perceptually optimize rendering. Thus, the third challenge addressed in this thesis was to explore an example application for attention-aware rendering techniques, where gaze-to-object mapping or importance maps can be employed to determine or predict the object of attention at run time. Thus, this thesis concludes with a pilot study on an application that dynamically adjusts the configuration of a stereo 3D display such that the object being attended by the user can be seen most comfortably.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 660 ], "date_end": "2014", "date_start": "2009", "reviewer_1": [ 193 ], "reviewer_2": [ 1313 ], "rigorosum": "2014-12-11", "supervisor": [ 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "dissertation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Bernhard_Matthias_2014_VAC-dissertation.pdf", "type": "application/pdf", "size": 82061486, "path": "Publication:Bernhard_Matthias_2014_VAC", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Bernhard_Matthias_2014_VAC/Bernhard_Matthias_2014_VAC-dissertation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Bernhard_Matthias_2014_VAC/Bernhard_Matthias_2014_VAC-dissertation:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Bernhard_Matthias_2014_VAC/", "__class": "Publication" }, { "id": "Groeller_2014_RWA", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Run Watchers: Automatic Simulation-Based Decision Support in Flood Management", "date": "2014-12", "abstract": "In this paper, we introduce a simulation-based approach to design protection plans for flood events. Existing solutions require a lot of computation time for an exhaustive search, or demand for a time-consuming expert supervision and steering. We\npresent a faster alternative based on the automated control of multiple parallel simulation runs. Run Watchers are dedicated system components authorized to monitor simulation runs, terminate them, and start new runs originating from existing ones according to domain-specific rules. This approach allows for a more efficient traversal of the search space and overall performance improvements\ndue to a re-use of simulated states and early termination of failed runs. In the course of search, Run Watchers generate large and complex decision trees. We visualize the entire set of decisions made by Run Watchers using interactive, clustered timelines. In\naddition, we present visualizations to explain the resulting response plans. Run Watchers automatically generate storyboards to convey plan details and to justify the underlying decisions, including those which leave particular buildings unprotected. We evaluate\nour solution with domain experts.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1205, 798, 1058, 877, 1206, 1207, 166 ], "booktitle": "IEEE Transactions on Visualization and Computer Graphics/Proceedings of VAST 2014", "date_from": "2014-11-09", "date_to": "2014-11-14", "event": "Euro Vis 2014", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1205 ], "location": "Paris, France", "number": "12", "pages_from": "1873", "pages_to": "1882", "publisher": "IEEE", "volume": "20", "research_areas": [ "InfoVis" ], "keywords": [ "visual evidence", "Disaster management", "simulation control", "storytelling", "decision making" ], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2014.2346930", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Groeller_2014_RWA-Paper.pdf", "type": "application/pdf", "size": 1021356, "path": "Publication:Groeller_2014_RWA", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_RWA/Groeller_2014_RWA-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_RWA/Groeller_2014_RWA-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_RWA/", "__class": "Publication" }, { "id": "Groeller_Eduard_2014_TSP", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "The Spinel Explorer - Interactive Visual Analysis of Spinel Group Minerals", "date": "2014-12", "abstract": "Geologists usually deal with rocks that are up to several thousand million years old. They try to reconstruct the tectonic settings where these rocks were formed and the history of events that affected them through the geological time. The spinel group minerals provide useful information regarding the geological environment in which the host rocks were formed. They constitute excellent indicators of geological environments (tectonic settings) and are of invaluable help in the search for mineral deposits of economic interest. The current workflow requires the scientists to work with different applications to analyze spine data. They do use specific diagrams, but these are usually not interactive. The current workflow hinders domain experts to fully exploit the potentials of tediously and expensively collected data. In this paper, we introduce the Spinel Explorer-an interactive visual analysis application for spinel group minerals. The design of the Spinel Explorer and of the newly introduced interactions is a result of a careful study of geologists' tasks. The Spinel Explorer includes most of the diagrams commonly used for analyzing spinel group minerals, including 2D binary plots, ternary plots, and 3D Spinel prism plots. Besides specific plots, conventional information visualization views are also integrated in the Spinel Explorer. All views are interactive and linked. The Spinel Explorer supports conventional statistics commonly used in spinel minerals exploration. The statistics views and different data derivation techniques are fully integrated in the system. Besides the Spinel Explorer as newly proposed interactive exploration system, we also describe the identified analysis tasks, and propose a new workflow. We evaluate the Spinel Explorer using real-life data from two locations in Argentina: the Frontal Cordillera in Central Andes and Patagonia. We describe the new findings of the geologists which would have been much more difficult to achieve using the cur- ent workflow only. Very positive feedback from geologists confirms the usefulness of the Spinel Explorer.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1228, 1229, 1233, 1231, 1232, 166, 235 ], "date_from": "2014-11-09", "date_to": "2014-11-14", "event": "VAST 2014", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1228, 1301 ], "location": "Paris, France", "number": "12", "pages_from": "1913", "pages_to": "1922", "volume": "20", "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2014.2346754", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "", "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Groeller_Eduard_2014_TSP-Paper.pdf", "type": "application/pdf", "size": 1546260, "path": "Publication:Groeller_Eduard_2014_TSP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_TSP/Groeller_Eduard_2014_TSP-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_TSP/Groeller_Eduard_2014_TSP-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_TSP/", "__class": "Publication" }, { "id": "Matkovic-2014-ieee", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visual Analytics for Complex Engineering Systems: Hybrid Visual Steering of Simulation Ensembles", "date": "2014-12", "abstract": "In this paper we propose a novel approach to hybrid visual steering of simulation ensembles. A simulation ensemble is a collection of simulation runs of the same simulation model using different sets of control parameters. Complex engineering systems have very large parameter spaces so a nai?ve sampling can result in prohibitively large simulation ensembles. Interactive steering of simulation ensembles provides the means to select relevant points in a multi-dimensional parameter space (design of experiment). Interactive steering efficiently reduces the number of simulation runs needed by coupling simulation and visualization and allowing a user to request new simulations on the fly. As system complexity grows, a pure interactive solution is not always sufficient. The new approach of hybrid steering combines interactive visual steering with automatic optimization. Hybrid steering allows a domain expert to interactively (in a visualization) select data points in an iterative manner, approximate the values in a continuous region of the simulation space (by regression) and automatically find the “best” points in this continuous region based on the specified constraints and objectives (by optimization). We argue that with the full spectrum of optimization options, the steering process can be improved substantially. We describe an integrated system consisting of a simulation, a visualization, and an optimization component. We also describe typical tasks and propose an interactive analysis workflow for complex engineering systems. We demonstrate our approach on a case study from automotive industry, the optimization of a hydraulic circuit in a high pressure common rail Diesel injection system.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 235, 581, 1204, 579, 959, 176, 190 ], "date_from": "2014-11-09", "date_to": "2014-11-14", "event": "IEEE VAST 2014", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 235 ], "location": "Paris, France", "number": "12", "pages_from": "1803", "pages_to": "1812", "volume": "20", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2014.2346744", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Matkovic-2014-ieee/", "__class": "Publication" }, { "id": "waldner-2014-af", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": " Attractive Flicker: Guiding Attention in Dynamic Narrative Visualizations", "date": "2014-12", "abstract": "Focus+context techniques provide visual guidance in visualizations by giving strong visual prominence to elements of interest while the context is suppressed. However, finding a visual feature to enhance for the focus to pop out from its context in a large dynamic scene, while leading to minimal visual deformation and subjective disturbance, is challenging. This paper proposes Attractive Flicker, a novel technique for visual guidance in dynamic narrative visualizations. We first show that flicker is a strong visual attractor in the entire visual field, without distorting, suppressing, or adding any scene elements. The novel aspect of our Attractive Flicker technique is that it consists of two signal stages: The first “orientation stage” is a short but intensive flicker stimulus to attract the attention to elements of interest. Subsequently, the intensive flicker is reduced to a minimally disturbing luminance oscillation (“engagement stage”) as visual support to keep track of the focus elements. To find a good trade-off between attraction effectiveness and subjective annoyance caused by flicker, we conducted two perceptual studies to find suitable signal parameters. We showcase Attractive Flicker with the parameters obtained from the perceptual statistics in a study of molecular interactions. With Attractive Flicker, users were able to easily follow the narrative of the visualization on a large display, while the flickering of focus elements was not disturbing when observing the context.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 600, "image_height": 605, "name": "waldner-2014-af-.png", "type": "image/png", "size": 232715, "path": "Publication:waldner-2014-af", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1110, 1189, 660, 190, 171 ], "date_from": "2014-11-09", "date_to": "2014-11-14", "event": "IEEE VIS 2014", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1110 ], "location": "Paris, France", "number": "12", "pages_from": "2456", "pages_to": "2465", "volume": "20", "research_areas": [ "BioVis", "Perception" ], "keywords": [ "Narrative Visualization", "Flicker", "Visual Attention" ], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2014.2346352", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 600, "image_height": 605, "name": "waldner-2014-af-.png", "type": "image/png", "size": 232715, "path": "Publication:waldner-2014-af", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-:thumb{{size}}.png" }, { "description": "Screenshot 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175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Preview video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "waldner-2014-af-Preview video.mp4", "type": "video/mp4", "size": 16497882, "path": "Publication:waldner-2014-af", "preview_name": "waldner-2014-af-Preview video:preview.png", "preview_type": "image/jpeg", "preview_size": 14964, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Preview video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Preview video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Preview video:video.mp4" }, { "description": null, "filetitle": "Submission video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "waldner-2014-af-Submission video.mp4", "type": "video/mp4", "size": 23904054, "path": "Publication:waldner-2014-af", "preview_name": "waldner-2014-af-Submission video:preview.png", "preview_type": "image/jpeg", "preview_size": 48929, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Submission video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Submission video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Submission video:video.mp4" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/", "__class": "Publication" }, { "id": "ymca", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "YMCA - Your Mesh Comparison Application", "date": "2014-11", "abstract": "Polygonal meshes can be created in several different ways. In this paper we focus on the reconstruction of meshes from point clouds, which are sets of points in 3D. Several algorithms that tackle this task already exist, but they have different benefits and drawbacks, which leads to a large number of possible reconstruction results (i.e., meshes). The evaluation of those techniques requires extensive comparisons between different meshes which is up to now done by either placing images of rendered meshes side-by-side, or by encoding differences by heat maps. A major drawback of both approaches is that they do not scale well with the number of meshes. This paper introduces a new comparative visual analysis technique for 3D meshes which enables the simultaneous comparison of several meshes and allows for the interactive exploration of their differences. Our approach gives an overview of the differences of the input meshes in a 2D view. By selecting certain areas of interest, the user can switch to a 3D representation and explore the spatial differences in detail. To inspect local variations, we provide a magic lens tool in 3D. The location and size of the lens provide further information on the variations of the reconstructions in the selected area. With our comparative visualization approach, differences between several mesh reconstruction algorithms can be easily localized and inspected.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 644, "image_height": 661, "name": "ymca-teaser.png", "type": "image/png", "size": 1279857, "path": "Publication:ymca", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 950, 799, 808, 193, 166, 161 ], "booktitle": "IEEE Visual Analytics Science and Technology", "date_from": "2014-11-09", "date_to": "2014-11-14", "lecturer": [ 950 ], "location": "Paris, France", "note": "http://dx.doi.org/10.1109/VAST.2014.7042491", "publisher": "IEEE Computer Society", "series": "VAST ", "research_areas": [ "InfoVis" ], "keywords": [ "mesh comparison", "3D data exploration", "focus+context", "comparative visualization", "Visual analysis" ], "weblinks": [], "files": [ { "description": "paper (authors personal copy, accepted for publication by IEEE)", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 669, "preview_image_height": 430, "name": "ymca-paper.pdf", "type": "application/pdf", "size": 2169351, "path": "Publication:ymca", "preview_name": "ymca-paper:preview.png", "preview_type": "image/png", "preview_size": 864893, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 644, "image_height": 661, "name": "ymca-teaser.png", "type": "image/png", "size": 1279857, "path": "Publication:ymca", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-teaser:thumb{{size}}.png" }, { "description": "demonstration of the application - 4:30 min - 20.2 MB", "filetitle": "video-demo", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 64, "preview_image_height": 41, "name": "ymca-video-demo.wmv", "type": "application/octet-stream", "size": 21207342, "path": "Publication:ymca", "preview_name": "ymca-video-demo:preview.png", "preview_type": "image/png", "preview_size": 8002, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-video-demo.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-video-demo:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/", "__class": "Publication" }, { "id": "birkeland_aasmund_2014_pums", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Perceptually Uniform Motion Space", "date": "2014-11", "abstract": "Flow data is often visualized by animated particles inserted into a ?ow ?eld. The velocity of a particle on the screen is typically linearly scaled by the velocities in the data. However, the perception of velocity magnitude in animated particles is not necessarily linear. We present a study on how different parameters affect relative motion perception. We have investigated the impact of four parameters. The parameters consist of speed multiplier, direction, contrast type and the global velocity scale. In addition, we investigated if multiple motion cues, and point distribution, affect the speed estimation. Several studies were executed to investigate the impact of each parameter. In the initial results, we noticed trends in scale and multiplier. Using the trends for the signi?cant parameters, we designed a compensation model, which adjusts the particle speed to compensate for the effect of the parameters. We then performed a second study to investigate the performance of the compensation model. From the second study we detected a constant estimation error, which we adjusted for in the last study. In addition, we connect our work to established theories in psychophysics by comparing our model to a model based on Stevens’ Power Law.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 663, "image_height": 663, "name": "birkeland_aasmund_2014_pums-.png", "type": "image/png", "size": 568432, "path": "Publication:birkeland_aasmund_2014_pums", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/birkeland_aasmund_2014_pums-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/birkeland_aasmund_2014_pums-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1007, 1144, 171 ], "date_from": "2014-11-09", "date_to": "2014-11-14", "event": "IEEE VIS 2014", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1007 ], "location": "IEEE VIS 2014", "number": "11", "pages_from": "1542", "pages_to": "1554", "volume": "20", "research_areas": [ "Perception" ], "keywords": [ "motion visualization", "motion perception", "animation", "evauation", "perceptual model" ], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2014.2322363", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 663, "image_height": 663, "name": "birkeland_aasmund_2014_pums-.png", "type": "image/png", "size": 568432, "path": "Publication:birkeland_aasmund_2014_pums", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/birkeland_aasmund_2014_pums-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/birkeland_aasmund_2014_pums-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "birkeland_aasmund_2014_pums-paper.pdf", "type": "application/pdf", "size": 5605137, "path": "Publication:birkeland_aasmund_2014_pums", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/birkeland_aasmund_2014_pums-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/birkeland_aasmund_2014_pums-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/", "__class": "Publication" }, { "id": "fan-2014-scfl", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Structure Completion for Facade Layouts", "date": "2014-11", "abstract": "We present a method to complete missing structures in facade layouts. Starting from an abstraction of the partially observed layout as a set of shapes, we can propose one or multiple possible completed layouts. Structure completion with large missing parts is an ill-posed problem. Therefore, we combine two sources of information to derive our solution: the observed shapes and a database of complete layouts. The problem is also very difficult, because shape positions and attributes have to be estimated jointly. Our proposed solution is to break the problem into two components: a statistical model to evaluate layouts and a planning algorithm to generate candidate layouts. This ensures that the completed result is consistent with the observation and the layouts in the database.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1141, "image_height": 614, "name": "fan-2014-scfl-image.png", "type": "image/png", "size": 541257, "path": "Publication:fan-2014-scfl", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1197, 844, 1198, 194 ], "date_from": "2014-12-03", "date_to": "2014-12-06", "event": "ACM SIGGRAPH Asia", "journal": "ACM Transactions on Graphics (ACM SIGGRAPH Asia 2014)", "lecturer": [ 1197 ], "location": "Shenzhen, China", "number": "6", "pages_from": "210:1", "pages_to": "210:11", "volume": "33", "research_areas": [ "Modeling" ], "keywords": [ "facade modeling", "facade completion", "structure completion", "urban modeling" ], "weblinks": [ { "href": "http://dx.doi.org/10.1145/2661229.2661265", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "additional", "filetitle": "additional", "main_file": false, "use_in_gallery": false, "access": "public", "name": "fan-2014-scfl-additional.pdf", "type": "application/pdf", "size": 6068487, "path": "Publication:fan-2014-scfl", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-additional.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-additional:thumb{{size}}.png" }, { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1141, "image_height": 614, "name": "fan-2014-scfl-image.png", "type": "image/png", "size": 541257, "path": "Publication:fan-2014-scfl", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-image:thumb{{size}}.png" }, { "description": "highres [62MB]", "filetitle": "preprint-highres", "main_file": true, "use_in_gallery": false, "access": "public", "name": "fan-2014-scfl-preprint-highres.pdf", "type": "application/pdf", "size": 64922493, "path": "Publication:fan-2014-scfl", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-preprint-highres.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-preprint-highres:thumb{{size}}.png" }, { "description": "lowres [6MB]", "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "fan-2014-scfl-preprint.pdf", "type": "application/pdf", "size": 5664638, "path": "Publication:fan-2014-scfl", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide", "PAMINA" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/", "__class": "Publication" }, { "id": "MORARU-2014-CPD", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Cross-Platform Development Approaches tor the Mobile Device Platforms Android and iOS", "date": "2014-11", "abstract": "This paper provides an introduction to cross-platform programming for mobile devices as well as an overview of different object-oriented programming -based cross-platform development approaches. The presented approaches are described, discussed and evaluated based on their advantages and disadvantages, as well as a practical implementation.\r\n\r\nThe comparison relies on different aspects, including the preparation of the workspace, necessary programs, installations and plug-ins, their price, the supported platforms, the effort to implement, the ease with which the application programming interfaces can be used and much more.\r\n\r\nThus the investment of time, money and energy, as well as other difficulties, which might occur while following an approach, constitute important factors which contribute to the results of the evaluation. In the end the paper suggests which might be the best and easiest approach, respectively which approaches are more appropriate than others in some certain cases.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1216 ], "supervisor": [ 193 ], "research_areas": [], "keywords": [ "cross-platform development", "mobile computing" ], "weblinks": [], "files": [ { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "MORARU-2014-CPD-thesis.pdf", "type": "application/pdf", "size": 2915090, "path": "Publication:MORARU-2014-CPD", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/MORARU-2014-CPD/MORARU-2014-CPD-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/MORARU-2014-CPD/MORARU-2014-CPD-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/MORARU-2014-CPD/", "__class": "Publication" }, { "id": "puenguentzky-2014-ht", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "HistoryTime: A Chrome history visualization using WebGL", "date": "2014-11", "abstract": "Even though modern web browsers offer history functionalities, only few people use it to re-visit previously visited websites. In this thesis we present HistoryTime, a 3D visualization of the Google Chrome browser history. The goal of this project was to visualize the content of a user’s web browsing history in an aesthetic way, as well as to increase the general motivation to use it. We developed a 3-dimensional, visually appealing extension for Google Chrome that offers various possibilities, sorting-modes and browsing-functionalities which should make exploring and searching for websites in the history more pleasant to use. The data is retrieved via the Chrome history API exclusively, and visualized in a WebGL environment using the three.js JavaScript 3D library.\n\nThe prototype of HistoryTime was tested and compared to the standard Google Chrome browser history in the scope of a small user study. The results indicated that our extension offered a better usability overall, and also allowed to solve certain tasks that were not possible with the standard history.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 429, "image_height": 265, "name": "puenguentzky-2014-ht-.png", "type": "image/png", "size": 39426, "path": "Publication:puenguentzky-2014-ht", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/puenguentzky-2014-ht/puenguentzky-2014-ht-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/puenguentzky-2014-ht/puenguentzky-2014-ht-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1182 ], "matrikelnr": "1125593", "supervisor": [ 171 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 429, "image_height": 265, "name": "puenguentzky-2014-ht-.png", "type": "image/png", "size": 39426, "path": "Publication:puenguentzky-2014-ht", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/puenguentzky-2014-ht/puenguentzky-2014-ht-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/puenguentzky-2014-ht/puenguentzky-2014-ht-:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "puenguentzky-2014-ht-thesis.pdf", "type": "application/pdf", "size": 2137000, "path": "Publication:puenguentzky-2014-ht", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/puenguentzky-2014-ht/puenguentzky-2014-ht-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/puenguentzky-2014-ht/puenguentzky-2014-ht-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/puenguentzky-2014-ht/", "__class": "Publication" }, { "id": "Guerrero_Paul_2014_EPG", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Edit Propagation using Geometric Analogies", "date": "2014-11", "abstract": "Modeling complex geometrical shapes, like city scenes or terrains with dense vegetation, is a time-consuming task that cannot be automated trivially. The problem of creating and editing many similar, but not identical models requires specialized methods that understand what makes these objects similar in order to either create new variations of these models from scratch or to propagate edit operations from one object to all similar objects. In this thesis, we present new methods to significantly reduce the effort required to model complex scenes.\r\n\r\nFor 2D scenes containing deformable objects, such as fish or snakes, we present a method to find partial matches between deformed shapes that can be used to transfer localized properties such as texture between matching shapes. Shapes are considered similar if they are related by pointwise\r\ncorrespondences and if neighboring points have correspondences with similar transformation parameters. Unlike previous work, this approach allows us to successfully establish matches between strongly deformed objects, even in the presence of occlusions and sparse or unevenly\r\ndistributed sets of matching features.\r\n\r\nFor scenes consisting of 2D shape arrangements, such as floor plans, we propose methods to find similar locations in the arrangements, even though the arrangements themselves are\r\ndissimilar. Edit operations, such as object placements, can be propagated between similar locations. Our approach is based on simple geometric relationships between the location and the shape arrangement, such as the distance of the location to a shape boundary or the direction to the closest shape corner. Two locations are similar of they have many similar relations to their surrounding shape arrangement. To the best of our knowledge, there is no method that explicitly attempts to find similar locations in dissimilar shape arrangements. We demonstrate populating\r\nlarge scenes such as floor plans with hundreds of objects like pieces of furniture, using relatively few edit operations.\r\n\r\nAdditionally, we show that providing several examples of an edit operation helps narrowing down the supposed modeling intention of the user and improves the quality of the edit propagation. A probabilistic model is learned from the examples and used to suggest similar edit operations.\r\nAlso, extensions are shown that allow application of this method in 3D scenes. Compared to previous approaches that use entire scenes as examples, our method provides more user control\r\nand has no need for large databases of example scenes or domain-specific knowledge. We demonstrate generating 3D interior decoration and complex city scenes, including buildings with\r\ndetailed facades, using only few edit operations.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 627 ], "date_end": "2014", "date_start": "2008", "reviewer_1": [ 193 ], "reviewer_2": [ 194, 1317 ], "rigorosum": "2014-11-17", "supervisor": [ 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Guerrero_Paul_2014_EPG-Thesis.pdf", "type": "application/pdf", "size": 65980866, "path": "Publication:Guerrero_Paul_2014_EPG", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero_Paul_2014_EPG/Guerrero_Paul_2014_EPG-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero_Paul_2014_EPG/Guerrero_Paul_2014_EPG-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero_Paul_2014_EPG/", "__class": "Publication" }, { "id": "Guerrero-2014-TPS", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Partial Shape Matching using Transformation Parameter Similarity", "date": "2014-11", "abstract": "In this paper, we present a method for non-rigid, partial shape matching in vector graphics. Given a user-specified query region in a 2D shape, similar regions are found, even if they are non-linearly distorted. Furthermore, a non-linear mapping is established between the query regions and these matches, which allows the automatic transfer of editing operations such as texturing. This is achieved by a two-step approach. First, point-wise correspondences between the query region and the whole shape are established. The transformation parameters of these correspondences are registered in an appropriate transformation space. For transformations between similar regions, these parameters form surfaces in transformation space, which are extracted in the second step of our method. The extracted regions may be related to the query region by a non-rigid transform, enabling non-rigid shape matching.", "authors_et_al": false, "substitute": null, "main_image": { "description": "representative image", "filetitle": "representative_image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 679, "image_height": 849, "name": "Guerrero-2014-TPS-representative_image.png", "type": "image/png", "size": 319867, "path": "Publication:Guerrero-2014-TPS", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-TPS/Guerrero-2014-TPS-representative_image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-TPS/Guerrero-2014-TPS-representative_image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 627, 808, 193, 356 ], "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "8", "pages_from": "1", "pages_to": "14", "volume": "33", "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "Shape Matching", "Texture Transfer", "Non-Rigid", "Deformable", "Edit Propagation", "Partial" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12509/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "employed shape descriptors and transformation space visualizations", "filetitle": "additonal_material", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Guerrero-2014-TPS-additonal_material.pdf", "type": "application/pdf", "size": 2908763, "path": "Publication:Guerrero-2014-TPS", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-TPS/Guerrero-2014-TPS-additonal_material.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-TPS/Guerrero-2014-TPS-additonal_material:thumb{{size}}.png" }, { "description": "pre-print version of the paper", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Guerrero-2014-TPS-paper.pdf", "type": "application/pdf", "size": 24942206, "path": "Publication:Guerrero-2014-TPS", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-TPS/Guerrero-2014-TPS-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-TPS/Guerrero-2014-TPS-paper:thumb{{size}}.png" }, { "description": "representative image", "filetitle": "representative_image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 679, "image_height": 849, "name": "Guerrero-2014-TPS-representative_image.png", "type": "image/png", "size": 319867, "path": "Publication:Guerrero-2014-TPS", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-TPS/Guerrero-2014-TPS-representative_image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-TPS/Guerrero-2014-TPS-representative_image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-TPS/", "__class": "Publication" }, { "id": "zsolnai-ist-invited-2014", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Light Transport with a Touch of Fluids", "date": "2014-10-21", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1073 ], "date_from": "2014-10-21", "event": "IST Austria", "research_areas": [ "Rendering" ], "keywords": [ "photorealistic rendering", "subsurface scattering", "fluid simulation" ], "weblinks": [], "files": [], "projects_workgroups": [ "Mofa" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/zsolnai-ist-invited-2014/", "__class": "Publication" }, { "id": "waldner-2014-ghi", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Graphical Histories of Information Foraging", "date": "2014-10", "abstract": "During information foraging, knowledge workers iteratively seek, filter, read, and extract information. When using multiple information sources and different applications for information processing, re-examination of activities for validation of previous decisions or re-discovery of previously used information sources is challenging. In this paper, we present a novel representation of cross-application histories to support recall of past operations and re-discovery of information resources. Our graphical history consists of a cross-scale visualization combining an overview node-link diagram of used desktop resources with nested (animated) snapshot sequences, based on a recording of the visual screen output during the users’ desktop work. This representation makes key elements of the users’ tasks visually stand out, while exploiting the power of visual memory to recover subtle details of their activities. In a preliminary study, users found our graphical history helpful to recall details of an information foraging task and commented positively on the ability to expand overview nodes into snapshot and video sequences.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 748, "image_height": 668, "name": "waldner-2014-ghi-.png", "type": "image/png", "size": 118153, "path": "Publication:waldner-2014-ghi", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/waldner-2014-ghi-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/waldner-2014-ghi-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1110, 161, 171 ], "booktitle": "Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational ", "date_from": "2014-10-26", "date_to": "2014-10-30", "isbn": "978-1-4503-2542-4", "lecturer": [ 1110 ], "location": "Helsinki, Finland", "organization": "NordiCHI’14 - Nordic Conference on Human-Computer Interaction", "pages_from": "295", "pages_to": "304", "publisher": "ACM", "research_areas": [ "InfoVis", "NetVis" ], "keywords": [ "Graph visualization", "Interaction history", "Provenance" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 748, "image_height": 668, "name": "waldner-2014-ghi-.png", "type": "image/png", "size": 118153, "path": "Publication:waldner-2014-ghi", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/waldner-2014-ghi-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/waldner-2014-ghi-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "waldner-2014-ghi-paper.pdf", "type": "application/pdf", "size": 3116802, "path": "Publication:waldner-2014-ghi", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/waldner-2014-ghi-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/waldner-2014-ghi-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/", "__class": "Publication" }, { "id": "WINKLER-2013-AMO", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Advanced Modifications of a Basic Rendering Framework", "date": "2014-10", "abstract": "In this thesis an overview about my work on the framework for the lab course “Introduction to\r\ncomputer graphics” will be given. At first the current situation is explained and what extensions\r\nshould be made. It is described how task variations are implemented with an ANT-script.\r\nAlso some computer graphics algorithms are evaluated on how well they would perform in the\r\nframework and it is explained how they are implemented or why not. The major topics are\r\nWeiler-Atherton clipping and why it is problematic, different methods for backface culling and\r\nthe Oren-Nayar and Cook-Torrance shading models. The last chapter explains the new transparency\r\nfeature that has been implemented in detail and why order independent transparency\r\n(OIT) has been chosen over BSP-Trees including a extensive comparisons.", "authors_et_al": false, "substitute": null, "main_image": { "description": "logo", "filetitle": "logo", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 185, "name": "WINKLER-2013-AMO-logo.png", "type": "image/png", "size": 62018, "path": "Publication:WINKLER-2013-AMO", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/WINKLER-2013-AMO/WINKLER-2013-AMO-logo.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/WINKLER-2013-AMO/WINKLER-2013-AMO-logo:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1127 ], "date_start": "2013-10-11", "matrikelnr": "0929255", "supervisor": [ 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "logo", "filetitle": "logo", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 185, "name": "WINKLER-2013-AMO-logo.png", "type": "image/png", "size": 62018, "path": "Publication:WINKLER-2013-AMO", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/WINKLER-2013-AMO/WINKLER-2013-AMO-logo.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/WINKLER-2013-AMO/WINKLER-2013-AMO-logo:thumb{{size}}.png" }, { "description": "Thesis", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "WINKLER-2013-AMO-Thesis.pdf", "type": "application/pdf", "size": 936442, "path": "Publication:WINKLER-2013-AMO", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/WINKLER-2013-AMO/WINKLER-2013-AMO-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/WINKLER-2013-AMO/WINKLER-2013-AMO-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/WINKLER-2013-AMO/", "__class": "Publication" }, { "id": "Fuerst_2014_BSc", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Control of Newtonian Fluids With Minimum Force Impact Using the Navier-Stokes Equations", "date": "2014-10", "abstract": "This thesis introduces a novel approach to control smoke towards a target density distribution with minimal force impact to reduce unnatural behavior and unconvincing visual results. The first part consists of an introduction to fluid simulations and fluid control followed by an exploration of previous research in the field of Computational fluid dynamics, especially in Computer Graphics. After that, the Navier-Stokes equations are introduced and a short overview on how to solve them is given. The last part describes our approach to controlling smoke based on biased diffusion and long-range force and shows the results of this research. Based on a criterion, which has emerged from the numerical solution of diffusion, the algorithm decides whether to apply forces or use diffusion to distribute the smoke resulting in a great reduction of forces applied to the smoke. Results show that the smoke reaches the target density\r\nfaster and the motion is much less furious, which contributes to more natural results. Our algorithm is implemented in the open source animation software Blender and gives the artist access to smoke control parameters.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 444, "image_height": 538, "name": "Fuerst_2014_BSc-image.png", "type": "image/png", "size": 97173, "path": "Publication:Fuerst_2014_BSc", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Fuerst_2014_BSc/Fuerst_2014_BSc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Fuerst_2014_BSc/Fuerst_2014_BSc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1106 ], "supervisor": [ 193, 1073 ], "research_areas": [], "keywords": [ "fluid simulation", "fluid control" ], "weblinks": [], "files": [ { "description": "", "filetitle": "code", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Fuerst_2014_BSc-code.zip", "type": "application/zip", "size": 36087673, "path": "Publication:Fuerst_2014_BSc", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Fuerst_2014_BSc/Fuerst_2014_BSc-code.zip", "thumb_image_sizes": [] }, { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 444, "image_height": 538, "name": "Fuerst_2014_BSc-image.png", "type": "image/png", "size": 97173, "path": "Publication:Fuerst_2014_BSc", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Fuerst_2014_BSc/Fuerst_2014_BSc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Fuerst_2014_BSc/Fuerst_2014_BSc-image:thumb{{size}}.png" }, { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Fuerst_2014_BSc-thesis.pdf", "type": "application/pdf", "size": 2402210, "path": "Publication:Fuerst_2014_BSc", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Fuerst_2014_BSc/Fuerst_2014_BSc-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Fuerst_2014_BSc/Fuerst_2014_BSc-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Fuerst_2014_BSc/", "__class": "Publication" }, { "id": "geyer_lukas-2014-bat", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Volume-aware Mesh Resampling", "date": "2014-10", "abstract": "Currently, in modeling there is a lot of manual work involved in reducing the number of vertices/triangles in geometry to balance efficiency vs. accuracy of the intended shape. Our aim is to automatically find an optimum for that, by resampling an input model, e.g. created by an artist.\n\nWe need to process the geometry of a model discretely (as in points/triangles instead of a continuous boundary) for rendering it on the screen, animation or collision detection. Such models can be given by an explicit boundary (spline, triangle mesh) or implicitly by a signed distance function, e.g. defined at octree nodes, from 3D scanner data approximated by implicit surface reconstruction methods, such as Poisson.\n\nWe want to represent this boundary by as few points as possible while losing only as much detail as determined by a user-controlled parameter. We use a medial condition which adapts to local features of arbitrary size. This also permits us to drop connectivity (edges, triangles), so that the output becomes a point cloud. The parameter can control either the maximum deviation of the generated boundary to the input, or a point budget. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 444, "image_height": 449, "name": "geyer_lukas-2014-bat-image.jpg", "type": "image/jpeg", "size": 33555, "path": "Publication:geyer_lukas-2014-bat", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/geyer_lukas-2014-bat/geyer_lukas-2014-bat-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/geyer_lukas-2014-bat/geyer_lukas-2014-bat-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1140 ], "date_end": "2014-02-28", "date_start": "2013-10-21", "matrikelnr": "1026408", "supervisor": [ 948 ], "research_areas": [], "keywords": [ "sampling", "mesh", "modeling" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 444, "image_height": 449, "name": "geyer_lukas-2014-bat-image.jpg", "type": "image/jpeg", "size": 33555, "path": "Publication:geyer_lukas-2014-bat", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/geyer_lukas-2014-bat/geyer_lukas-2014-bat-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/geyer_lukas-2014-bat/geyer_lukas-2014-bat-image:thumb{{size}}.png" }, { "description": "Bachelor Thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "geyer_lukas-2014-bat-thesis.pdf", "type": "application/pdf", "size": 1106279, "path": "Publication:geyer_lukas-2014-bat", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/geyer_lukas-2014-bat/geyer_lukas-2014-bat-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/geyer_lukas-2014-bat/geyer_lukas-2014-bat-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/geyer_lukas-2014-bat/", "__class": "Publication" }, { "id": "Viola_Ivan_IIP", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Interactively illustrating polymerization using three-level model fusion", "date": "2014-10", "abstract": "Background: Research in cell biology is steadily contributing new knowledge about many aspects of physiological \nprocesses, both with respect to the involved molecular structures as well as their related function. llustrations of the spatio-temporal development of such processes are not only used in biomedical education, but also can serve scientists as an additional platform for in-silico experiments.\n\nResults: In this paper, we contribute a new, three-level modeling approach to illustrate physiological processes from\nthe class of polymerization at different time scales. We integrate physical and empirical modeling, according to which approach best suits the different involved levels of detail, and we additionally enable a form of interactive steering, while the process is illustrated. We demonstrate the suitability of our approach in the context of several polymerization processes and report from a first evaluation with domain experts.\n\nConclusion: We conclude that our approach provides a new, hybrid modeling approach for illustrating the process of emergence in physiology, embedded in a densely filled environment. Our approach of a complementary fusion of three systems combines the strong points from the different modeling approaches and is capable to bridge different spatial and temporal scales.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 339, "image_height": 241, "name": "Viola_Ivan_IIP-.jpg", "type": "image/jpeg", "size": 12109, "path": "Publication:Viola_Ivan_IIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1192, 1143, 171, 161, 1190, 176 ], "issn": "1471-2105", "journal": "BMC Bioinformatics 2014", "number": "345", "pages_from": "1", "pages_to": "16", "volume": "15", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "Multi-agent modeling", "L-system modeling", "Biochemical visualization", "Visualization of physiology", "Polymerization" ], "weblinks": [ { "href": "http://www.biomedcentral.com/1471-2105/15/345", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 339, "image_height": 241, "name": "Viola_Ivan_IIP-.jpg", "type": "image/jpeg", "size": 12109, "path": "Publication:Viola_Ivan_IIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_IIP-Paper.pdf", "type": "application/pdf", "size": 2018235, "path": "Publication:Viola_Ivan_IIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/", "__class": "Publication" }, { "id": "CORNEL-2014-AFRS", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Analysis of Forced Random Sampling", "date": "2014-10", "abstract": "Stochastic sampling is an indispensable tool in computer graphics which allows approximating complex functions and integrals in finite time. Applications which rely on stochastic sampling include ray tracing, remeshing, stippling and texture synthesis. In order to cover the sample domain evenly and without regular patterns, the sample distribution has to guarantee spatial uniformity without regularity and is said to have blue-noise properties. Additionally, the samples need to be distributed according to an importance function such that the sample distribution satisfies a given sampling probability density function globally while being well distributed locally. The generation of optimal blue-noise sample distributions is expensive, which is why a lot of effort has been devoted to finding fast approximate blue-noise sampling algorithms. Most of these algorithms, however, are either not applicable in real time or have weak blue-noise properties.\r\n\r\nForced Random Sampling is a novel algorithm for real-time importance sampling. Samples are generated by thresholding a precomputed dither matrix with the importance function. By the design of the matrix, the sample points show desirable local distribution properties and are adapted to the given importance. In this thesis, an efficient and parallelizable implementation of this algorithm is proposed and analyzed regarding its sample distribution quality and runtime performance. The results are compared to both the qualitative optimum of blue-noise sampling and the state of the art of real-time importance sampling, which is Hierarchical SampleWarping. With this comparison, it is investigated whether Forced Random Sampling is competitive with current sampling algorithms.\r\n\r\nThe analysis of sample distributions includes several discrepancy measures and the sample density to evaluate their spatial properties as well as Fourier and differential domain analyses to evaluate their spectral properties. With these established methods, it is shown that Forced Random Sampling generates samples with approximate blue-noise properties in real time. Compared to the state of the art, the proposed algorithm is able to generate samples of higher quality with less computational effort and is therefore a valid alternative to current importance sampling algorithms.\r\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 255, "image_height": 128, "name": "CORNEL-2014-AFRS-image.jpg", "type": "image/jpeg", "size": 13173, "path": "Publication:CORNEL-2014-AFRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/CORNEL-2014-AFRS-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/CORNEL-2014-AFRS-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 877 ], "diploma_examina": "2014-10-07", "supervisor": [ 193 ], "research_areas": [], "keywords": [ "global illumination", "Poisson disk sampling" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 255, "image_height": 128, "name": "CORNEL-2014-AFRS-image.jpg", "type": "image/jpeg", "size": 13173, "path": "Publication:CORNEL-2014-AFRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/CORNEL-2014-AFRS-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/CORNEL-2014-AFRS-image:thumb{{size}}.png" }, { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "CORNEL-2014-AFRS-thesis.pdf", "type": "application/pdf", "size": 8921300, "path": "Publication:CORNEL-2014-AFRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/CORNEL-2014-AFRS-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/CORNEL-2014-AFRS-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/", "__class": "Publication" }, { "id": "arikan-2014-pcvis", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Large-Scale Point-Cloud Visualization through Localized Textured Surface Reconstruction", "date": "2014-09", "abstract": "In this paper, we introduce a novel scene representation for the visualization of large-scale point clouds accompanied by a set of high-resolution photographs. Many real-world applications deal with very densely sampled point-cloud data, which are augmented with photographs that often reveal lighting variations and inaccuracies in registration. Consequently, the high-quality\nrepresentation of the captured data, i.e., both point clouds and photographs together, is a challenging and time-consuming task. We propose a two-phase approach, in which the first (preprocessing) phase generates multiple overlapping surface patches and\nhandles the problem of seamless texture generation locally for each patch. The second phase stitches these patches at render-time to produce a high-quality visualization of the data. As a result of the proposed localization of the global texturing problem, our algorithm is more than an order of magnitude faster than equivalent mesh-based texturing techniques. Furthermore, since\nour preprocessing phase requires only a minor fraction of the whole dataset at once, we provide maximum flexibility when dealing with growing datasets.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 5356, "image_height": 4850, "name": "arikan-2014-pcvis-image.jpg", "type": "image/jpeg", "size": 6686806, "path": "Publication:arikan-2014-pcvis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 865, 799, 614, 356, 193 ], "issn": "1077-2626", "journal": "IEEE Transactions on Visualization & Computer Graphics", "number": "9", "pages_from": "1280", "pages_to": "1292", "volume": "20", "research_areas": [ "Rendering" ], "keywords": [ "image-based rendering", "large-scale models", "color", "surface representation" ], "weblinks": [ { "href": "http://doi.ieeecomputersociety.org/10.1109/TVCG.2014.2312011", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "Acknowledgments datasets", "filetitle": "ackn", "main_file": false, "use_in_gallery": false, "access": "public", "name": "arikan-2014-pcvis-ackn.rtf", "type": "text/rtf", "size": 597, "path": "Publication:arikan-2014-pcvis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-ackn.rtf", "thumb_image_sizes": [] }, { "description": "[13 MB]", "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "arikan-2014-pcvis-draft.pdf", "type": "application/pdf", "size": 13594589, "path": "Publication:arikan-2014-pcvis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 5356, "image_height": 4850, "name": "arikan-2014-pcvis-image.jpg", "type": "image/jpeg", "size": 6686806, "path": "Publication:arikan-2014-pcvis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-image:thumb{{size}}.png" }, { "description": "[33 MB]", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "arikan-2014-pcvis-video.avi", "type": "video/x-msvideo", "size": 33911454, "path": "Publication:arikan-2014-pcvis", "preview_name": "arikan-2014-pcvis-video:preview.png", "preview_type": "image/jpeg", "preview_size": 34237, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-video:video.mp4" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/", "__class": "Publication" }, { "id": "fmistelbauer-2014-adict", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "ActiveDICOM - Enhancing Static Medical Images with Interaction", "date": "2014-09", "abstract": "Digital Imaging and Communications in Medicine (DICOM) is a well-establish standard in medical imaging, consisting not only of image data, but sensitive data such as patient and examination information. Nowadays, although having a large variety of advanced rendering techniques available, DICOM images are still generated and sent to the Picture Archiving and Communication System (PACS). These images are then fetched by the medical doctor from a workstation and used for medical reporting. The user has no other possibilities than being able to change the windowing function for displaying the DICOM images. If a certain region is of special interest, either images of the whole data set are generated or have to be specifically requested. Both approaches consume a considerable amount of time. Secondly, the image generation on demand remains pending until done by the responsible assistant. Despite supporting a broad range of features and being widely applied, DICOM images remain static. We propose a visualization mapping language, Active DICOM Script (ADICT), which enhances conventional DICOM with interactive elements by combining heterogeneous data, interaction and visualization. Such DICOM images are then called Active Digital Imaging and Communications in Medicine (ActiveDICOM).", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 879, "image_height": 654, "name": "fmistelbauer-2014-adict-.png", "type": "image/png", "size": 62455, "path": "Publication:fmistelbauer-2014-adict", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/fmistelbauer-2014-adict-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/fmistelbauer-2014-adict-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1234, 869, 166 ], "booktitle": "Posters at Eurographics Workshop on Visual Computing for Biology and Medicine", "date_from": "2014-09-03", "date_to": "2014-09-05", "event": "Eurographics Workshop on Visual Computing for Biology and Medicine", "location": "Vienna, Austria", "series": "EG VCBM 2014", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 879, "image_height": 654, "name": "fmistelbauer-2014-adict-.png", "type": "image/png", "size": 62455, "path": "Publication:fmistelbauer-2014-adict", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/fmistelbauer-2014-adict-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/fmistelbauer-2014-adict-:thumb{{size}}.png" }, { "description": "The presented poster.", "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "fmistelbauer-2014-adict-poster.pdf", "type": "application/pdf", "size": 937046, "path": "Publication:fmistelbauer-2014-adict", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/fmistelbauer-2014-adict-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/fmistelbauer-2014-adict-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "AngioVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/", "__class": "Publication" }, { "id": "steiner-2014-da", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Structure-aware shape manipulation", "date": "2014-09", "abstract": "In computer graphics one of the most expensive fields is content creation. While today the rendering part is highly sophisticated and automated, 3d modeling is still a very challenging task due to the steep learning curve and the amount of work time required. Although there are a lot of free model databases available in the internet, this models are in general not perfectly suited to the customers needs and have to be adapted.\n\nStructure-aware shape manipulation deals with the complexity of creating variations, or adapting a given input model while retaining global features like symmetry and connectivity. The majority of existing algorithms only try to preserve structural features, or have very limited support for adapting the overall structure of the model to changes made by the user. The lack of complex structural changes in the model, for example allowing a wheel to change the number of strokes, limits the number of possible variations this algorithms can generate. \n\nThe aim of this thesis is to exploit the possibilities of using curves and curve spaces to find a better representation of the input model, allowing for complex structural adaptions. In addition to this the usefulness of a multi-layered graphs to represent the model and it's constraints should be investigated.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 682, "image_height": 441, "name": "steiner-2014-da-image.png", "type": "image/png", "size": 185956, "path": "Publication:steiner-2014-da", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1120 ], "date_end": "2014", "date_start": "2014-01-13", "matrikelnr": "0825391", "supervisor": [ 193, 844 ], "research_areas": [ "Modeling" ], "keywords": [ " structure-aware model manipulation", "modelling", "cg" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 682, "image_height": 441, "name": "steiner-2014-da-image.png", "type": "image/png", "size": 185956, "path": "Publication:steiner-2014-da", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "steiner-2014-da-poster.pdf", "type": "application/pdf", "size": 1661123, "path": "Publication:steiner-2014-da", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "steiner-2014-da-thesis.pdf", "type": "application/pdf", "size": 12027877, "path": "Publication:steiner-2014-da", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/", "__class": "Publication" }, { "id": "Viola_Ivan_DAC", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Deriving Anatomical Context from 4D Ultrasound", "date": "2014-09", "abstract": "Real-time three-dimensional (also known as 4D) ultrasound imaging using matrix array probes has the potential to create large-volume information of entire organs such as the liver without external tracking hardware. This\ninformation can in turn be placed into the context of a CT or MRI scan of the same patient. However for such an approach many image processing challenges need to be overcome and sources of error addressed, including\nreconstruction drift, anatomical deformations, varying appearance of anatomy, and imaging artifacts. In this work,we present a fully automatic system including robust image-based ultrasound tracking, a novel learning-based global initialization of the anatomical context, and joint mono- and multi-modal registration. In an evaluation on 4D US sequences and MRI scans of eight volunteers we achieve automatic reconstruction and registration without any user interaction, assess the registration errors based on physician-defined landmarks, and demonstrate realtime tracking of free-breathing sequences.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 279, "image_height": 140, "name": "Viola_Ivan_DAC-image.jpg", "type": "image/jpeg", "size": 6435, "path": "Publication:Viola_Ivan_DAC", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/Viola_Ivan_DAC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/Viola_Ivan_DAC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1199, 1200, 1201, 171, 1159, 1161, 1202, 677 ], "booktitle": "Proceedings of EG VCBM14", "date_from": "2014-09-04", "date_to": "2014-09-05", "editor": "Ivan Viola and Katja Buehler and Timo Ropinski", "event": "4th Eurographics Workshop on Visual Computing for Biology and Medicine", "isbn": "978-3-905674-62-0", "issn": "2070-5778", "lecturer": [ 1199 ], "location": "Vienna, Austria", "note": "The electronic version of the proceedings is available from the Eurographics Digital Library at http://diglib.eg.org", "pages_from": "173", "pages_to": "180", "publisher": "Eurographics Association", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 279, "image_height": 140, "name": "Viola_Ivan_DAC-image.jpg", "type": "image/jpeg", "size": 6435, "path": "Publication:Viola_Ivan_DAC", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/Viola_Ivan_DAC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/Viola_Ivan_DAC-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_DAC-Paper.pdf", "type": "application/pdf", "size": 2561391, "path": "Publication:Viola_Ivan_DAC", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/Viola_Ivan_DAC-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/Viola_Ivan_DAC-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/", "__class": "Publication" }, { "id": "Viola_Ivan_UVP", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "The Ultrasound Visualization Pipeline", "date": "2014-09", "abstract": "Radiology is one of the main tools in modern medicine. A numerous set of deceases, ailments and treatments utilize accurate images of the patient. Ultrasound is one of the most frequently used imaging modality in medicine. The high spatial resolution, its interactive nature and non-invasiveness makes it the first choice in many examinations. Image interpretation is one of ultrasound’s main challenges. Much training is required to obtain a confident skill level in ultrasound-based diagnostics. State-of-the-art graphics techniques is needed to provide meaningful visualizations of ultrasound in real-time. In this paper we present the process-pipeline for ultrasound visualization, including an overview of the tasks performed in the specific steps. To provide an insight into the trends of ultrasound visualization research, we have selected a set of significant publications and divided them into a technique-based taxonomy covering the topics pre-processing, segmentation, registration, rendering and augmented reality. For the different technique types we discuss the difference between ultrasound-based techniques and techniques for other modalities.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 429, "image_height": 370, "name": "Viola_Ivan_UVP-.jpg", "type": "image/jpeg", "size": 73185, "path": "Publication:Viola_Ivan_UVP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1007, 896, 1220, 1161, 1221, 951, 171 ], "address": "http://link.springer.com/chapter/10.1007%2F978-1-4471-6497-5_24", "booktitle": "Scientific Visualization", "chapter": "Uncertainty, Multifield, Biomedical, and Scalable Visualization", "editor": "Charles D. Hansen, Min Chen, Christopher R. Johnson, Arie E. Kaufman, Hans Hagen", "isbn": "978-1-4471-6496-8", "pages_from": "283", "pages_to": "303", "publisher": "Springer London", "series": "Mathematics and Visualization", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 429, "image_height": 370, "name": "Viola_Ivan_UVP-.jpg", "type": "image/jpeg", "size": 73185, "path": "Publication:Viola_Ivan_UVP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_UVP-paper.pdf", "type": "application/pdf", "size": 6903114, "path": "Publication:Viola_Ivan_UVP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/", "__class": "Publication" }, { "id": "Viola_Ivan_VDP", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Visibility-Driven Processing of Streaming Volume Data", "date": "2014-09", "abstract": "In real-time volume data acquisition, such as 4D ultrasound, the raw data is challenging to visualize directly\nwithout additional processing. Noise removal and feature detection are common operations, but many methods\nare too costly to compute over the whole volume when dealing with live streamed data. In this paper, we propose\na visibility-driven processing scheme for handling costly on-the-fly processing of volumetric data in real-time. In contrast to the traditional visualization pipeline, our scheme utilizes a fast computation of the potentially visible subset of voxels which significantly reduces the amount of data required to process. As filtering operations modify the data values which may affect their visibility, our method for visibility-mask generation ensures that the set of elements deemed visible does not change after processing. Our approach also exploits the visibility information for the storage of intermediate values when multiple operations are performed in sequence, and can therefore significantly reduce the memory overhead of longer filter pipelines. We provide a thorough technical evaluation of the approach and demonstrate it on several typical scenarios where on-the-fly processing is required.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 617, "image_height": 572, "name": "Viola_Ivan_VDP-image.jpg", "type": "image/jpeg", "size": 17438, "path": "Publication:Viola_Ivan_VDP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 896, 1007, 171, 161 ], "booktitle": "Proceedings of EG VCBM 2014", "date_from": "2014-09-04", "date_to": "2014-09-05", "editor": "Ivan Viola and Katja Buehler and Timo Ropinski", "event": "4th EG Workshop on Visual Computing and Biology Medicine", "isbn": "978-3-905674-62-0", "issn": "2070-5778", "lecturer": [ 1304 ], "location": "Vienna, Austria", "pages_from": "127", "pages_to": "136", "publisher": "Eurographics Association", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 617, "image_height": 572, "name": "Viola_Ivan_VDP-image.jpg", "type": "image/jpeg", "size": 17438, "path": "Publication:Viola_Ivan_VDP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Media Player", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 512, "preview_image_height": 512, "name": "Viola_Ivan_VDP-Media Player.wmv", "type": "application/octet-stream", "size": 12664687, "path": "Publication:Viola_Ivan_VDP", "preview_name": "Viola_Ivan_VDP-Media Player:preview.png", "preview_type": "image/jpeg", "preview_size": 11329, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-Media Player.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-Media Player:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_VDP-Paper.pdf", "type": "application/pdf", "size": 12294247, "path": "Publication:Viola_Ivan_VDP", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/", "__class": "Publication" }, { "id": "ZAU14", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Unity OPC Importer and Renderer", "date": "2014-09", "abstract": "The goal of this bachelor thesis is to implement an OPC importer for the Unity 3D engine. OPCs should be rendered as Unity Terrain Game Objects. In a first approach a simple CPU based tessellation will be implemented to realise LODs. The final version will use tessellation shading. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1365, "image_height": 598, "name": "ZAU14-image.jpg", "type": "image/jpeg", "size": 77707, "path": "Publication:ZAU14", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ZAU14/ZAU14-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ZAU14/ZAU14-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1176 ], "date_end": "2014-06-30", "date_start": "2014-03-01", "matrikelnr": "0925357", "supervisor": [ 193 ], "research_areas": [], "keywords": [ "Tesselation Shading", "Ordered Point Clouds", "Unity 3D" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1365, "image_height": 598, "name": "ZAU14-image.jpg", "type": "image/jpeg", "size": 77707, "path": "Publication:ZAU14", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ZAU14/ZAU14-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ZAU14/ZAU14-image:thumb{{size}}.png" }, { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ZAU14-thesis.pdf", "type": "application/pdf", "size": 2113340, "path": "Publication:ZAU14", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ZAU14/ZAU14-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ZAU14/ZAU14-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ZAU14/", "__class": "Publication" }, { "id": "Gehrer_Daniel_CUI", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "CellUnity an Interactive Tool for Illustrative Visualization of Molecular Reactions", "date": "2014-09", "abstract": "CellUnity is a tool for interactive visualization of molecular reactions using the Unity game engine. Current mesoscale visualizations commonly utilize the results of particle-based simulations, which account for spatial information of each single particle and are supposed to mimic a realistic behavior of the metabolites. However, this approach employs stochastic simulation methods which do not offer any control over the visualized output. CellUnity, on the other hand, exploits the results of deterministic simulations which are purely quantitative and in that way offering full user control over the spatial locations of the reactions. The user is able to trigger reactions on demand instead of having to wait or search for a specific type of reaction event, while the quantities of displayed molecules would still be in accordance with real scientific data. CellUnity exploits the simulation results in real time and allows the user to freely modify simulation parameters while the system is running. The tool was realized in Unity, a cross-platform game engine that also comprises a free version with adequate functionality and therefore enables easy deployment of the project.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 857, "image_height": 478, "name": "Gehrer_Daniel_CUI-image.png", "type": "image/png", "size": 216700, "path": "Publication:Gehrer_Daniel_CUI", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/Gehrer_Daniel_CUI-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/Gehrer_Daniel_CUI-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1194 ], "matrikelnr": "1125229 ", "supervisor": [ 171, 1189 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bakk Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Gehrer_Daniel_CUI-Bakk Thesis.pdf", "type": "application/pdf", "size": 1613208, "path": "Publication:Gehrer_Daniel_CUI", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/Gehrer_Daniel_CUI-Bakk Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/Gehrer_Daniel_CUI-Bakk Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 857, "image_height": 478, "name": "Gehrer_Daniel_CUI-image.png", "type": "image/png", "size": 216700, "path": "Publication:Gehrer_Daniel_CUI", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/Gehrer_Daniel_CUI-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/Gehrer_Daniel_CUI-image:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/", "__class": "Publication" }, { "id": "Langer_Edith_IR1", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Image Retrieval on Co-registered Confocal Microscopy Image Collections", "date": "2014-08-26", "abstract": "Biologists at the Institute of Molecular Pathology (IMP) in Vienna scan brains of the species Drosophila melanogaster with a confocal microscope to find relations between genes, brain structure and behavior. The database contains now more than 40.000 volumetric images, which makes it time-consuming to search for an image of interest. For biologists it would be very help-ful to have a method which can be used to search for specific images and works on the perceptual level of content.\nThe aim of this thesis is to develop a Content Based Image Retrieval (CBIR) method customized for 3D fly brain images. A biologist can choose an image which shows interesting gene expressions and as result images which are visually similar should be retrieved. Exhaustive lit-\nerature research shows that in the biological field nothing comparable exists. However, CBIR plays an important role in the medical domain, which deals also with 3D images and therefore\npublications in this area can be seen as related.\nThe voxelwise comparison of two images would be on the one hand computationally expensive and on the other hand not practicable due to image registration errors and anatomical variations of neuronal structures. Creating maximum intensity projections from three directions\nand applying a principal component analysis on the gray values overcomes the before mentioned drawbacks and delivers satisfying results.\nThe fly brain can be divided into regions, so-called neuropils. The proposed method works on the basis of neuropils. This has, among others, the advantage that not only a global similarity can be computed, but also a comparison of images based on only some of the neuropils is possible.\nAn extensive evaluation of the developed method is given including a parameter space exploration. For example, different lengths of the feature vectors, which describe a fly brain in a lower dimensional space, are tried and also different distance measures are tested. The evaluation shows satisfying results and that the method facilitates the work of biologists when they are looking for similar images to create a hypothesis about the connection of genes and behavior. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 328, "image_height": 163, "name": "Langer_Edith_IR1-image.jpg", "type": "image/jpeg", "size": 10316, "path": "Publication:Langer_Edith_IR1", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/Langer_Edith_IR1-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/Langer_Edith_IR1-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1136 ], "date_end": "2014-08-26", "date_start": "2013-08-26", "matrikelnr": "0725806", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 328, "image_height": 163, "name": "Langer_Edith_IR1-image.jpg", "type": "image/jpeg", "size": 10316, "path": "Publication:Langer_Edith_IR1", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/Langer_Edith_IR1-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/Langer_Edith_IR1-image:thumb{{size}}.png" }, { "description": null, "filetitle": "master thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Langer_Edith_IR1-master thesis.pdf", "type": "application/pdf", "size": 14045224, "path": "Publication:Langer_Edith_IR1", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/Langer_Edith_IR1-master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/Langer_Edith_IR1-master thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/", "__class": "Publication" }, { "id": "bernhard-2014-GTOM", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Gaze-To-Object Mapping During Visual Search in 3D Virtual Environments ", "date": "2014-08", "abstract": "Stimuli obtained from highly dynamic 3D virtual environments and synchronous eye-tracking data are commonly used by algorithms that strive to correlate gaze to scene objects, a process referred to as Gaze-To-Object Mapping (GTOM). We propose to address this problem with a probabilistic approach using Bayesian inference. The desired result of the inference is a predicted probability density function (PDF) specifying for each object in the scene a probability to be attended by the user. To evaluate the quality of a predicted attention PDF, we present a methodology to assess the information value (i.e., likelihood) in the predictions of dierent approaches that can be used to infer object attention. To this end, we propose an experiment based on a visual search task which allows us to determine the object of attention at a certain point in time under controlled conditions.\nWe perform this experiment with a wide range of static and dynamic visual scenes to obtain a ground-truth evaluation data set, allowing us to assess GTOM techniques in a set of 30 particularly challenging cases.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "thumnail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 703, "image_height": 314, "name": "bernhard-2014-GTOM-thumnail.png", "type": "image/png", "size": 151264, "path": "Publication:bernhard-2014-GTOM", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-thumnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-thumnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 660, 731, 779, 193 ], "date_from": "2014-08-08", "date_to": "2014-08-09", "event": "ACM Symposium on Applied Perception (SAP 2014)", "issn": "1544-3558", "journal": "ACM Transactions on Applied Perception (Special Issue SAP 2014)", "lecturer": [ 660 ], "location": "Vancouver, Canada", "number": "3", "pages_from": "14:1", "pages_to": "14:17", "volume": "11", "research_areas": [ "Perception", "Rendering" ], "keywords": [ "object-based attention", "eye-tracking", "virtual environments", "visual attention" ], "weblinks": [ { "href": "http://dl.acm.org/citation.cfm?doid=2663596.2644812", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bernhard-2014-GTOM-draft.pdf", "type": "application/pdf", "size": 9514669, "path": "Publication:bernhard-2014-GTOM", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "thumnail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 703, "image_height": 314, "name": "bernhard-2014-GTOM-thumnail.png", "type": "image/png", "size": 151264, "path": "Publication:bernhard-2014-GTOM", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-thumnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-thumnail:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1024, "preview_image_height": 768, "name": "bernhard-2014-GTOM-video.mp4", "type": "video/mp4", "size": 29837759, "path": "Publication:bernhard-2014-GTOM", "preview_name": "bernhard-2014-GTOM-video:preview.png", "preview_type": "image/jpeg", "preview_size": 12852, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-video:video.mp4" } ], "projects_workgroups": [ "Mofa", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/", "__class": "Publication" }, { "id": "preiner2014clop", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Continuous Projection for Fast L1 Reconstruction", "date": "2014-08", "abstract": "With better and faster acquisition devices comes a demand for fast robust reconstruction algorithms, but no L1-based technique has been fast enough for online use so far. In this paper, we present a novel continuous formulation of the weighted locally optimal projection (WLOP) operator based on a Gaussian mixture describing the input point density. Our method is up to 7 times faster than an optimized GPU implementation of WLOP, and achieves interactive frame rates for moderately sized point clouds. We give a comprehensive quality analysis showing that our continuous operator achieves a generally higher reconstruction quality than its discrete counterpart. Additionally, we show how to apply our continuous formulation to spherical mixtures of normal directions, to also achieve a fast robust normal reconstruction.\n\nProject Page: https://www.cg.tuwien.ac.at/~preiner/projects/clop/", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "thumbnail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1080, "image_height": 810, "preview_image_width": 640, "preview_image_height": 480, "name": "preiner2014clop-thumbnail.png", "type": "image/png", "size": 738367, "path": "Publication:preiner2014clop", "preview_name": "preiner2014clop-thumbnail:preview.png", "preview_type": "image/png", "preview_size": 347267, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-thumbnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 799, 326, 865, 1184, 193 ], "date_from": "2014-08-10", "date_to": "2014-08-14", "doi": "10.1145/2601097.2601172", "event": "ACM SIGGRAPH 2014", "issn": "0730-0301", "journal": "ACM Transactions on Graphics (Proc. of ACM SIGGRAPH 2014)", "lecturer": [ 799 ], "location": "Vancouver, Canada", "number": "4", "pages_from": "47:1", "pages_to": "47:13", "volume": "33", "research_areas": [ "Geometry" ], "keywords": [ "point set", "Gaussian mixture", "Hierarchical EM", "upsampling", "dynamic reconstruction", "L1 reconstruction" ], "weblinks": [], "files": [ { "description": "compressed quality (7,8 MB)", "filetitle": "paper_small", "main_file": true, "use_in_gallery": false, "access": "public", "name": "preiner2014clop-paper_small.pdf", "type": "application/pdf", "size": 8222514, "path": 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"https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-thumbnail:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1920, "preview_image_height": 1080, "name": "preiner2014clop-video.mp4", "type": "video/mp4", "size": 78627076, "path": "Publication:preiner2014clop", "preview_name": "preiner2014clop-video:preview.png", "preview_type": "image/jpeg", "preview_size": 74242, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-video:video.mp4" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/", "__class": "Publication" }, { "id": "kolesar-ivan-2014-polymers", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Illustrating Polymerization using Three-level Model Fusion", "date": "2014-07", "abstract": "Research in cell biology is steadily contributing new knowledge about many\ndi?erent aspects of physiological processes like polymerization, both with respect to the involved molecular structures as well as their related function. Illustrations of the spatio-temporal development of such processes are not only used in biomedical education, but also can serve scientists as an additional platform for in-silico experiments. In this paper, we contribute a new, three-level modeling approach to illustrate physiological processes from the class of polymerization at di?erent time scales. We integrate physical and empirical modeling, according to which approach suits the di?erent involved levels of detail best, and we additionally enable a simple form of interactive steering while the process is illustrated. We demonstrate the suitability of our approach in the context of several polymerization processes and report from a ?rst evaluation with domain experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 511, "image_height": 433, "name": "kolesar-ivan-2014-polymers-image.jpg", "type": "image/jpeg", "size": 26704, "path": "Publication:kolesar-ivan-2014-polymers", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1192, 1143, 171, 161, 1190, 176 ], "booktitle": "Proceedings of IEEE BioVis 2014", "date_from": "2014-07-11", "date_to": "2014-07-12", "lecturer": [ 1192 ], "location": "Boston, USA", "organization": "4th Symposium on Biological Data Visualization (in Conjunction with the International Conference on Intelligent Systems for Molecular Biology (ISMB 2014)) ", "pages_from": "1", "pages_to": "22", "publisher": "IEEE Digital Library", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 511, "image_height": 433, "name": "kolesar-ivan-2014-polymers-image.jpg", "type": "image/jpeg", "size": 26704, "path": "Publication:kolesar-ivan-2014-polymers", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kolesar-ivan-2014-polymers-paper.pdf", "type": "application/pdf", "size": 1642885, "path": "Publication:kolesar-ivan-2014-polymers", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/", "__class": "Publication" }, { "id": "Trautner_Thomas_2014_VAE", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visualizing Archaeological Excavations based on Unity3D", "date": "2014-07", "abstract": "As part of an archaeological excavation huge amounts of different types of data, for example laser scan point-clouds, triangulated surface meshes, pictures or drawings of finds, find attributes like location, age, condition and description or layers of excavated earth are collected. This detailed documentation is important to give archaeologists the possibility to analyze the collected data at a later date since the find spot might not be accessible anymore. Unfortunately all the accumulated data is separately saved and consequently complex to explore.\r\n\r\nTherefore we present a novel solution that allows the user to digitally explore a virtual archaeological excavation in real-time. With our approach we can not only visualize\r\ndifferent types of textured meshes and finds but allow the user to draw on surfaces to mark areas of certain interest that need further exploration, enable explosion views to investigate composition of different layers of earth and arbitrary slicing of the threedimensional mesh structure to better visualize cross-sections and an easier tracing of accumulation points of finds. The result of this work is a new powerful tool that will support the analysis of future excavations. All results and the implementation itself will be presented as part of this thesis.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1196 ], "supervisor": [ 205, 237, 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Trautner_Thomas_2014_VAE-Thesis.pdf", "type": "application/pdf", "size": 12063342, "path": "Publication:Trautner_Thomas_2014_VAE", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Trautner_Thomas_2014_VAE/Trautner_Thomas_2014_VAE-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Trautner_Thomas_2014_VAE/Trautner_Thomas_2014_VAE-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Trautner_Thomas_2014_VAE/", "__class": "Publication" }, { "id": "Moellinger_Christian_IDE2", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Data Editing of Time-Dependent Data in Visual Analysis", "date": "2014-06-28", "abstract": "In the so called information age, data is widely available. Sources include data collection as a byproduct (e.g., log files on a server, or as a more concrete example, movement profiles of smartphone users) and data generation for particular purposes (e.g., simulation runs, data gathered from sensors). To benefit from\nthis huge amount of available data, the data must be analyzed and relevant information must be extracted.\nVisual Analytics has become an important approach to identify and extract relevant information from data, especially with big data sets.\nHowever, data can also contain erroneous values for different reasons, e.g., caused by defect sensors. In data warehousing projects, transforming and edit the data into a usable state can account up for 80% of the cost and the development time.\nThis diploma thesis focuses on time-dependent data and presents an extension for the existing visual\nanalytics framework VISPLORE, to support the user in the process of data editing. Using plausibility rules, the user can define data checks and imputation strategies. Three different overviews, a data-based overview, a group-based overview, and a rule-based overview provide insight into the structure of implausible data values and the defined plausibility rules. Implausible values can be imputed using the\ndefined imputation strategies and existing visualization techniques are extended to enable the user getting an overview of the modified values. Real-world data is used to demonstrate two use-cases. Limitations of the provided overviews, e.g., scalability for a large number of plausibility rules, are discussed and ideas\nfor future work are outlined. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 491, "image_height": 278, "name": "Moellinger_Christian_IDE2-image.jpg", "type": "image/jpeg", "size": 34091, "path": "Publication:Moellinger_Christian_IDE2", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/Moellinger_Christian_IDE2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/Moellinger_Christian_IDE2-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 859 ], "date_end": "2014-06-28", "date_start": "2014-06-28", "matrikelnr": "0725979", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 491, "image_height": 278, "name": "Moellinger_Christian_IDE2-image.jpg", "type": "image/jpeg", "size": 34091, "path": "Publication:Moellinger_Christian_IDE2", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/Moellinger_Christian_IDE2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/Moellinger_Christian_IDE2-image:thumb{{size}}.png" }, { "description": null, "filetitle": "master thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Moellinger_Christian_IDE2-master thesis.pdf", "type": "application/pdf", "size": 7676771, "path": "Publication:Moellinger_Christian_IDE2", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/Moellinger_Christian_IDE2-master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/Moellinger_Christian_IDE2-master thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/", "__class": "Publication" }, { "id": "Rautek_Peter_2014_TUC", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Towards an Unbiased Comparison of CC, BCC, and FCC Lattices in Terms of Prealiasing", "date": "2014-06", "abstract": "In the literature on optimal regular volume sampling, the Body-Centered Cubic (BCC) lattice has been proven\r\nto be optimal for sampling spherically band-limited signals above the Nyquist limit. On the other hand, if the\r\nsampling frequency is below the Nyquist limit, the Face-Centered Cubic (FCC) lattice was demonstrated to be optimal in reducing the prealiasing effect. In this paper, we confirm that the FCC lattice is indeed optimal in this sense in a certain interval of the sampling frequency. By theoretically estimating the prealiasing error in a realistic range of the sampling frequency, we show that in other frequency intervals, the BCC lattice and even the traditional Cartesian Cubic (CC) lattice are expected to minimize the prealiasing. The BCC lattice is superior over the FCC lattice if the sampling frequency is not significantly below the Nyquist limit. Interestingly, if the original signal is drastically undersampled, the CC lattice is expected to provide the lowest prealiasing error. Additionally,\r\nwe give a comprehensible clarification that the sampling efficiency of the FCC lattice is lower than that of the BCC\r\nlattice. Although this is a well-known fact, the exact percentage has been erroneously reported in the literature.\r\nFurthermore, for the sake of an unbiased comparison, we propose to rotate the Marschner-Lobb test signal such that an undue advantage is not given to either lattice.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1195, 233, 488, 166 ], "date_from": "2014-06-09", "date_to": "2014-06-13", "event": "Euro Vis 2014", "journal": "Computer Graphics Forum", "lecturer": [ 1195 ], "location": "Swansea, Wales, UK", "number": "3", "pages_from": "81", "pages_to": "90", "volume": "33", "research_areas": [], "keywords": [ " Image representation—Volumetric", "Picture/Image Generation—Display algorit", "Categories and Subject Descriptors" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12364/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_TUC/", "__class": "Publication" }, { "id": "lemuzic-2014-ivm", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Illustrative Visualization of Molecular Reactions using Omniscient Intelligence and Passive Agents ", "date": "2014-06", "abstract": "In this paper we propose a new type of a particle systems, tailored for illustrative visualization purposes, in particular for visualizing molecular reactions in biological networks. Previous visualizations of biochemical processes were exploiting the results of agent-based modeling. Such modeling aims at reproducing accurately the stochastic nature of molecular interactions. However, it is impossible to expect events of interest happening at a certain time and location, which is impractical for storytelling. To obtain the means of controlling molecular interactions, we propose to govern passive agents with an omniscient intelligence, instead of giving to the agents the freedom of initiating reaction autonomously. This makes it possible to generate illustrative animated stories that communicate the functioning of the molecular machinery. The rendering performance delivers for interactive framerates of massive amounts of data, based on the dynamic tessellation capabilities of modern graphics cards. Finally, we report an informal expert feedback we obtained from the potential users.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1027, "image_height": 1027, "name": "lemuzic-2014-ivm-image.jpg", "type": "image/jpeg", "size": 399463, "path": "Publication:lemuzic-2014-ivm", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1189, 1143, 1190, 171 ], "date_from": "2014-06-09", "date_to": "2014-06-13", "event": "EuroVis", "journal": "Computer Graphics Forum", "lecturer": [ 1189 ], "location": "Swansea, Wales, UK", "note": "Article first published online: 12 JUL 2014", "number": "3", "pages_from": "141", "pages_to": "150", "volume": "33", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12370/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1027, "image_height": 1027, "name": "lemuzic-2014-ivm-image.jpg", "type": "image/jpeg", "size": 399463, "path": "Publication:lemuzic-2014-ivm", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "lemuzic-2014-ivm-paper.pdf", "type": "application/pdf", "size": 2888693, "path": "Publication:lemuzic-2014-ivm", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1920, "preview_image_height": 1080, "name": "lemuzic-2014-ivm-video.mp4", "type": "video/mp4", "size": 288142406, "path": "Publication:lemuzic-2014-ivm", "preview_name": "lemuzic-2014-ivm-video:preview.png", "preview_type": "image/jpeg", "preview_size": 33186, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-video:video.mp4" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/", "__class": "Publication" }, { "id": "LUKSCH-2014-RTR", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Real-Time Rendering of Glossy Materials with Regular Sampling", "date": "2014-06", "abstract": "Rendering view-dependent, glossy surfaces to increase the realism in real-time applications is a computationally complex task, that can only be performed by applying some approximations—especially when immediate changes in the scene in terms of material settings and object placement are a necessity. The use of environment maps is a common approach to this problem, but implicates performance problems due to costly pre-filtering steps or expensive sampling. We, therefore, introduce a regular sampling scheme for environment maps that relies on an efficient MIP-map-based filtering step, and minimizes the number of necessary samples for creating a convincing real-time rendering of glossy BRDF materials.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 659, 216, 804, 678, 193 ], "date_from": "2014-06-10", "date_to": "2014-06-13", "event": "Computer Graphics International 2014", "issn": "0178-2789", "journal": "The Visual Computer", "lecturer": [ 659 ], "location": "Sydney, Australia", "number": "6-8", "pages_from": "717", "pages_to": "727", "volume": "30", "research_areas": [ "Rendering" ], "keywords": [ "real-time rendering ", "BRDFs" ], "weblinks": [ { "href": "http://link.springer.com/article/10.1007/s00371-014-0958-x", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "VRVis", "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/LUKSCH-2014-RTR/", "__class": "Publication" }, { "id": "amirkhanov-2014-ama", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "InSpectr: Multi-Modal Exploration, Visualization, and Analysis of Spectral Data", "date": "2014-06", "abstract": "This paper addresses the increasing demand in industry for methods to analyze and visualize multimodal data involving a spectral modality. Two data modalities are used: high-resolution X-ray computed tomography (XCT) for structural characterization and low-resolution X-ray fluorescence (XRF) spectral data for elemental decomposition. We present InSpectr, an integrated tool for the interactive exploration and visual analysis of multimodal, multiscalar data. The tool has been designed around a set of tasks identified by domain experts in the fields of XCT and XRF. It supports registered single scalar and spectral datasets optionally coupled with element maps and reference spectra. InSpectr is instantiating various linked views for the integration of spatial and non-spatial information to provide insight into an industrial component’s structural and material composition: views with volume renderings of composite and individual 3D element maps visualize global material composition; transfer functions defined directly on the spectral data and overlaid pie-chart glyphs show elemental composition in 2D slice-views; a representative aggregated spectrum and spectra density histograms are introduced to provide a global overview in the spectral view. Spectral magic lenses, spectrum probing and elemental composition probing of points using a pie-chart view and a periodic table view aid the local material composition analysis. Two datasets are investigated to outline the usefulness of the presented techniques: a 3D virtually created phantom with a brass metal alloy and a real-world 2D water phantom with insertions of gold, barium, and gadolinium. Additionally a detailed user evaluation of the results is provided.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1629, "image_height": 712, "name": "amirkhanov-2014-ama-image.jpg", "type": "image/jpeg", "size": 192070, "path": "Publication:amirkhanov-2014-ama", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 817, 1191, 613, 166, 611 ], "date_from": "2014-06-09", "date_to": "2014-06-13", "event": "Euro Vis 2014", "journal": "Computer Graphics Forum", "lecturer": [ 1191 ], "location": "Swansea, UK", "note": "Article first published online: 12 JUL 2014", "number": "3", "pages_from": "91", "pages_to": "100", "volume": "33", "research_areas": [ "VisMat" ], "keywords": [ "multi-modal data", "XRF", "industrial computed tomography", "linked views", "spectral data" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12365/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "fast forward", "filetitle": "_fast forward", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "amirkhanov-2014-ama-_fast forward.mp4", "type": "video/mp4", "size": 2410313, "path": "Publication:amirkhanov-2014-ama", "preview_name": "amirkhanov-2014-ama-_fast forward:preview.png", "preview_type": "image/jpeg", "preview_size": 21892, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-_fast forward.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-_fast forward:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-_fast forward:video.mp4" }, { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1629, "image_height": 712, "name": "amirkhanov-2014-ama-image.jpg", "type": "image/jpeg", "size": 192070, "path": "Publication:amirkhanov-2014-ama", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-image:thumb{{size}}.png" }, { "description": "slides", "filetitle": "slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "amirkhanov-2014-ama-slides.pptx", "type": "application/zip", "size": 18578088, "path": "Publication:amirkhanov-2014-ama", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-slides.pptx", "thumb_image_sizes": [] }, { "description": "video", "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "amirkhanov-2014-ama-video.wmv", "type": "application/octet-stream", "size": 15167834, "path": "Publication:amirkhanov-2014-ama", "preview_name": "amirkhanov-2014-ama-video:preview.png", "preview_type": "image/jpeg", "preview_size": 51865, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-video.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-video:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/", "__class": "Publication" }, { "id": "Groeller_2014_UPS", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Guest editorial—Uncertainty and parameter space analysis in visualization", "date": "2014-06", "abstract": "Within the past decades visualization advanced to a powerful means of exploring and analyzing data. Recent developments in both hard- and software contributed to previously unthinkable evaluations and visualizations of data with strongly increasing sizes and levels of complexity.\n\nProviding just insight into available data of a problem seems not to be sufficient anymore: Uncertainty and parameter space analyses in visualization are becoming more prevalent and may be found in astronomic, (bio)-medical, industrial, and engineering applications. The major goal is to find out, at which stage of the pipeline - from data acquisition to the final rendering of the output image - how much uncertainty is introduced and consequently how the desired result (e.g., a dimensional measurement feature) is affected. Therefore effective methods and techniques are required by domain specialists, which help to understand how data is generated, how reliable is the generated data, and where and why data is uncertain.\n\nFurthermore, as the problems to investigate are becoming increasingly complex, also finding suitable algorithms providing the desired solution tends to be more difficult. Additional questions may arise, e.g., how does a slight parameter change modify the result, how stable is a parameter, in which range is a parameter stable or which parameter set is optimal for a specific problem. Metaphorically speaking, an algorithm for solving a problem may be seen as finding a path through some rugged terrain (the core problem) ranging from the high grounds of theory to the haunted swamps of heuristics. There are many different paths through this terrain with different levels of comfort, length, and stability. Finding all possible paths corresponds in our case to doing an analysis of all possible parameters of a problem solving algorithm, which yields a typically multi-dimensional parameter space. This parameter space allows for an analysis of the quality and stability of a specific parameter set. In many cases of conventional visualization approaches the issues of uncertainty and parameter space analyses are neglected. For a long time, uncertainty - if visualized at all - used to be depicted as blurred data. But in most cases the uncertainty in the base data is not considered at all and just the quantities of interest are calculated. And even to calculate these quantities of interest, too often an empirically found parameter set is used to parameterize the underlying algorithms without exploring its sensitivity to changes and without exploring the whole parameter space to find the global or a local optimum.\n\nThis tutorial aims to open minds and to look at our data and the parameter sets of our algorithms with a healthy skepticism. In the tutorial we combine uncertainty visualization and parameter space analyses which we believe is essential for the acceptance and applicability of future algorithms and techniques. The tutorial provides six sessions starting with an overview of uncertainty visualization including a historical perspective, uncertainty modeling and statistical visualization. The second part of the tutorial will be dedicated to structural uncertainty, parameter space analysis, industrial applications of uncertainty visualization and an outlook in this domain. ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 611, 161, 166 ], "journal": "Computer & Graphics", "pages_from": "A1", "pages_to": "A2", "volume": "41", "research_areas": [ "VisMat" ], "keywords": [], "weblinks": [ { "href": "http://www.sciencedirect.com/science/article/pii/S0097849314000375", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_UPS/", "__class": "Publication" }, { "id": "hecher-2014-MH", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "A Comparative Perceptual Study of Soft Shadow Algorithms", "date": "2014-06", "abstract": "We performed a perceptual user study of algorithms that approximate soft shadows in real time. Although a huge body of soft-shadow algorithms have been proposed, to our knowledge this is the first methodical study for comparing different real-time shadow algorithms with respect to their plausibility and visual appearance. We evaluated soft-shadow properties like penumbra overlap with respect to their relevance to shadow perception in a systematic way, and we believe that our results can be useful to guide future shadow approaches in their methods of evaluation. In this study, we also capture the predominant case of an inexperienced user observing shadows without comparing to a reference solution, such as when watching a movie or playing a game. One important result of this experiment is to scientifically verify that real-time soft-shadow algorithms, despite having become physically based and very realistic, can nevertheless be intuitively distinguished from a correct solution by untrained users.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 978, "image_height": 850, "name": "hecher-2014-MH-image.png", "type": "image/png", "size": 245534, "path": "Publication:hecher-2014-MH", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 779, 660, 326, 452, 193 ], "issn": "1544-3558", "journal": "ACM Transactions on Applied Perception", "number": "5", "pages_from": "5:1", "pages_to": "5:21", "volume": "11", "research_areas": [ "Perception", "Rendering" ], "keywords": [ "Perception Studies", "Soft Shadows" ], "weblinks": [ { "href": "http://doi.acm.org/10.1145/2620029", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "draft", "main_file": false, "use_in_gallery": false, "access": "public", "name": "hecher-2014-MH-draft.pdf", "type": "application/pdf", "size": 7731118, "path": "Publication:hecher-2014-MH", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 978, "image_height": 850, "name": "hecher-2014-MH-image.png", "type": "image/png", "size": 245534, "path": "Publication:hecher-2014-MH", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-image:thumb{{size}}.png" } ], "projects_workgroups": [ "Mofa" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/", "__class": "Publication" }, { "id": "Purgathofer-2014-LSM", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "A Live Services Marketplace: Telepresence through Remote Humans", "date": "2014-05", "abstract": "The basic idea is to use state-of-the-art telecommunication technology to implement the virtual presence of a person at a remote location. The concept is described with the use of modern mobile phones (smartphones), but several other devices with similar or extended capabilities could be used instead, including pads and notebooks, action cams and augmented reality glasses (e.g. Google eyeglasses). The person, who wants to be tele-present somewhere (let’s call this person the “pilot”), uses the smartphone to communicate with a person at the remote site (let’s call this person the “flyer”). The contact includes an acoustic connection, i.e. they can talk to each other, and a video connection, i.e. at least the pilot sees what the flyer is doing. The Live Services Marketplace describes a business how to connect pilots with flyers. Flyers can register their willingness to act as telepresence avatars for selected tasks from a list of allowable tasks, maintained to prevent illegal tasks. Pilots can book these flyers through a central administration system, which searches for appropriate flyers, anonymises the contact and organizes the financial arrangement. The audio and video connection is live only (just as a phone call). The paper describes the basic concept and many use cases for this business.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190, 1187 ], "number": "TR-186-2-14-1", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "technical report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Purgathofer-2014-LSM-technical report.pdf", "type": "application/pdf", "size": 100177, "path": "Publication:Purgathofer-2014-LSM", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-LSM/Purgathofer-2014-LSM-technical report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-LSM/Purgathofer-2014-LSM-technical report:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-LSM/", "__class": "Publication" }, { "id": "Radwan-2014-CDR", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Efficient Collision Detection While Rendering Dynamic Point Clouds", "date": "2014-05", "abstract": "A recent trend in interactive environments is the use of unstructured\nand temporally varying point clouds. This is driven by both\naffordable depth cameras and augmented reality simulations. One\nresearch question is how to perform collision detection on such\npoint clouds. State-of-the-art methods for collision detection create\na spatial hierarchy in order to capture dynamic point cloud surfaces,\nbut they require O(NlogN) time for N points. We propose\na novel screen-space representation for point clouds which exploits\nthe property of the underlying surface being 2D. In order for dimensionality\nreduction, a 3D point cloud is converted into a series\nof thickened layered depth images. This data structure can be constructed\nin O(N) time and allows for fast surface queries due to\nits increased compactness and memory coherency. On top of that,\nparts of its construction come for free since they are already handled\nby the rendering pipeline. As an application we demonstrate\nonline collision detection between dynamic point clouds. It shows\nsuperior accuracy when compared to other methods and robustness\nto sensor noise since uncertainty is hidden by the thickened boundary.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 1024, "name": "Radwan-2014-CDR-.jpg", "type": "image/jpeg", "size": 1617713, "path": "Publication:Radwan-2014-CDR", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 923, 948, 193 ], "booktitle": "Proceedings of the 2014 Graphics Interface Conference", "date_from": "2014-05-07", "date_to": "2014-05-09", "event": "Graphics Interface 2014", "isbn": "978-1-4822-6003-8", "issn": "0713-5424", "lecturer": [ 948 ], "location": "Montreal, Quebec, Canada ", "pages_from": "25", "pages_to": "33", "publisher": "Canadian Information Processing Society", "research_areas": [ "Geometry" ], "keywords": [ "bounding volumes", "layered depth images", "collision detection", "point cloud", "dynamic" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 1024, "name": "Radwan-2014-CDR-.jpg", "type": "image/jpeg", "size": 1617713, "path": "Publication:Radwan-2014-CDR", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Radwan-2014-CDR-paper.pdf", "type": "application/pdf", "size": 18652471, "path": "Publication:Radwan-2014-CDR", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Radwan-2014-CDR-slides.pdf", "type": "application/pdf", "size": 3177669, "path": "Publication:Radwan-2014-CDR", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-slides:thumb{{size}}.png" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/", "__class": "Publication" }, { "id": "Viola_Ivan_CLD", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Continuous Levels-of-Detail and Visual Abstraction for Seamless Molecular Visualization", "date": "2014-05", "abstract": "Molecular visualization is often challenged with rendering of large molecular structures in real time. We introduce a novel approach that enables us to show even large protein complexes. Our method is based on the level-of-detail concept, where we exploit three different abstractions combined in one visualization. Firstly, molecular surface abstraction exploits three different surfaces, solvent-excluded surface (SES), Gaussian kernels and van der Waals spheres, combined as one surface by linear interpolation. Secondly, we introduce three shading abstraction levels and a method for creating seamless transitions between these representations. The SES representation with full shading and added contours stands in focus while on the other side a sphere representation of a cluster of atoms with constant shading and without contours provide the context. Thirdly, we propose a hierarchical abstraction based on a set of clusters formed on molecular atoms. All three abstraction models are driven by one importance function classifying the scene into the near-, mid- and far-field. Moreover, we introduce a methodology to render the entire molecule directly using the A-buffer technique, which further improves the performance. The rendering performance is evaluated on series of molecules of varying atom counts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 904, "image_height": 1414, "name": "Viola_Ivan_CLD-.jpg", "type": "image/jpeg", "size": 1057574, "path": "Publication:Viola_Ivan_CLD", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_CLD/Viola_Ivan_CLD-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_CLD/Viola_Ivan_CLD-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1143, 1185, 951, 161, 1186, 171 ], "issn": "0167-7055", "journal": "Computer Graphics Forum", "number": "6", "pages_from": "276", "pages_to": "287", "volume": "33", "research_areas": [ "BioVis", "IllVis" ], "keywords": [ "clustering", "implicit surfaces", "level of detail algorithms", "scientific visualization", "Computer Applications" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12349/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 904, "image_height": 1414, "name": "Viola_Ivan_CLD-.jpg", "type": "image/jpeg", "size": 1057574, "path": "Publication:Viola_Ivan_CLD", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_CLD/Viola_Ivan_CLD-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_CLD/Viola_Ivan_CLD-:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_CLD/", "__class": "Publication" }, { "id": "charpenay-2014-sgn", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Sampling Gabor Noise in the Spatial Domain", "date": "2014-05", "abstract": "Gabor noise is a powerful technique for procedural texture generation. Contrary to other types of procedural noise, its sparse convolution aspect makes it easily controllable locally. In this paper, we demonstrate this property by explicitly introducing spatial variations. We do so by linking the sparse convolution process to the parametrization of the underlying surface. Using this approach, it is possible to provide control maps for the parameters in a natural and convenient way. In order to derive intuitive control of the resulting textures, we accomplish a small study of the influence of the parameters of the Gabor kernel with respect to the outcome and we introduce a solution where we bind values such as the frequency or the orientation of the Gabor kernel to a user-provided control map in order to produce novel visual effects.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1750, "image_height": 776, "name": "charpenay-2014-sgn-image.png", "type": "image/png", "size": 1102546, "path": "Publication:charpenay-2014-sgn", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1102, 1120, 844 ], "booktitle": "Proceedings of the 30th Spring Conference on Computer Graphics - SCCG ", "date_from": "2014-05-28", "date_to": "2014-05-30", "editor": "Diego Gutierrez", "isbn": "978-80-223-3601-7", "lecturer": [ 1102 ], "location": "Smolenice castle, Slovakia", "pages_from": "79", "pages_to": "82", "publisher": "ACM Press", "research_areas": [ "Rendering" ], "keywords": [ "texture synthesis", "Gabor noise", "procedural texture" ], "weblinks": [], "files": { "0": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1750, "image_height": 776, "name": "charpenay-2014-sgn-image.png", "type": "image/png", "size": 1102546, "path": "Publication:charpenay-2014-sgn", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-image:thumb{{size}}.png" }, "1": { "description": "paper", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "charpenay-2014-sgn-paper.pdf", "type": "application/pdf", "size": 11296262, "path": "Publication:charpenay-2014-sgn", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-paper:thumb{{size}}.png" }, "3": { "description": "video", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "charpenay-2014-sgn-video.mp4", "type": "video/mp4", "size": 45324273, "path": "Publication:charpenay-2014-sgn", "preview_name": "charpenay-2014-sgn-video:preview.png", "preview_type": "image/jpeg", "preview_size": 20427, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-video:video.mp4" } }, "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/", "__class": "Publication" }, { "id": "birsak-2014-agtb", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Automatic Generation of Tourist Brochures", "date": "2014-04", "abstract": "We present a novel framework for the automatic generation of tourist brochures that include routing instructions and additional information presented in the form of so-called detail lenses.\nThe first contribution of this paper is the automatic creation of layouts for the brochures. Our approach is based on the minimization of an energy function that combines multiple goals: positioning of the lenses as close as possible to the corresponding region shown in an overview map, keeping the number of lenses low, and an efficient numbering of the lenses.\nThe second contribution is a route-aware simplification of the graph of streets used for traveling between the points of interest (POIs). This is done by reducing the graph consisting of all shortest paths through the minimization of an energy function. The output is a subset of street segments that enable traveling between all the POIs without considerable detours, while at the same time guaranteeing a clutter-free visualization.\n\nVideo: http://www.youtube.com/watch?v=t3w7uxzSR-Y", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1063, "image_height": 553, "name": "birsak-2014-agtb-image.png", "type": "image/png", "size": 497017, "path": "Publication:birsak-2014-agtb", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 836, 844, 194, 193 ], "date_from": "2014-04-07", "date_to": "2014-04-11", "event": "EUROGRAPHICS 2014", "issn": "1467-8659", "journal": "Computer Graphics Forum (Proceedings of EUROGRAPHICS 2014)", "lecturer": [ 836 ], "location": "Strasbourg, France", "number": "2", "pages_from": "449", "pages_to": "458", "volume": "33", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12333/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "example brochures", "filetitle": "examples", "main_file": false, "use_in_gallery": false, "access": "public", "name": "birsak-2014-agtb-examples.rar", "type": "application/x-rar", "size": 16542177, "path": "Publication:birsak-2014-agtb", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-examples.rar", "thumb_image_sizes": [] }, { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1063, "image_height": 553, "name": "birsak-2014-agtb-image.png", "type": "image/png", "size": 497017, "path": "Publication:birsak-2014-agtb", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-image:thumb{{size}}.png" }, { "description": "preprint, high resolution (30 mb)", "filetitle": "preprint-highres", "main_file": false, "use_in_gallery": false, "access": "public", "name": "birsak-2014-agtb-preprint-highres.pdf", "type": "application/pdf", "size": 30509342, "path": "Publication:birsak-2014-agtb", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-preprint-highres.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-preprint-highres:thumb{{size}}.png" }, { "description": "preprint low resolution (2 MB)", "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "birsak-2014-agtb-preprint.pdf", "type": "application/pdf", "size": 2098032, "path": "Publication:birsak-2014-agtb", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-preprint:thumb{{size}}.png" }, { "description": "EG presentation slides", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "birsak-2014-agtb-slides.pptx", "type": "application/zip", "size": 69769427, "path": "Publication:birsak-2014-agtb", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-slides.pptx", "thumb_image_sizes": [] }, { "description": "GUI Video", "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "birsak-2014-agtb-video.mp4", "type": "video/mp4", "size": 47818568, "path": "Publication:birsak-2014-agtb", "preview_name": "birsak-2014-agtb-video:preview.png", "preview_type": "image/jpeg", "preview_size": 14949, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-video:video.mp4" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/", "__class": "Publication" }, { "id": "WEYDEMANN-2014-PIC", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Implementation of a PIC simulation using WebGL", "date": "2014-04", "abstract": "This project’s aim is to find a WebGL based alternative to the Java implementation of Open-\r\nPixi, a Java-based Particle-in-Cell (PIC) simulation software, and to add a third dimension. For\r\nthis purpose, an existing JavaScript library, three.js, was chosen. A handful of approaches are\r\nexplored and the resulting prototypes are then compared in terms of speed, as performance is a\r\nmain concern. A shader-based implementation, the best performing of the prototypes, is then explained\r\nin more detail and recommendations for the future development of OpenPixi are given.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1898, "image_height": 936, "name": "WEYDEMANN-2014-PIC-image.bmp", "type": "image/x-ms-bmp", "size": 5331510, "path": "Publication:WEYDEMANN-2014-PIC", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/WEYDEMANN-2014-PIC/WEYDEMANN-2014-PIC-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/WEYDEMANN-2014-PIC/WEYDEMANN-2014-PIC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1175 ], "date_start": "2014-02-17", "matrikelnr": "1028488", "supervisor": [ 193 ], "research_areas": [], "keywords": [ "WebGL", "plasma simulation" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1898, "image_height": 936, "name": "WEYDEMANN-2014-PIC-image.bmp", "type": "image/x-ms-bmp", "size": 5331510, "path": "Publication:WEYDEMANN-2014-PIC", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/WEYDEMANN-2014-PIC/WEYDEMANN-2014-PIC-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/WEYDEMANN-2014-PIC/WEYDEMANN-2014-PIC-image:thumb{{size}}.png" }, { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "WEYDEMANN-2014-PIC-thesis.pdf", "type": "application/pdf", "size": 558569, "path": "Publication:WEYDEMANN-2014-PIC", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/WEYDEMANN-2014-PIC/WEYDEMANN-2014-PIC-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/WEYDEMANN-2014-PIC/WEYDEMANN-2014-PIC-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/WEYDEMANN-2014-PIC/", "__class": "Publication" }, { "id": "weissenboeck-2014", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "FiberScout: An Interactive Tool for Exploring and Analyzing Fiber Reinforced Polymers", "date": "2014-03", "abstract": "Advanced composites such as fiber reinforced polymers are promising candidate materials for future components as they allow integrating the continuously rising demands of industry regarding costeffectiveness, function-orientation, integration and weight. The most important structures of fiber reinforced polymers are the individual fibers, as their characteristics (stiffness, strength, ductility, durability, etc.) to a large extent determine the properties of the final component. The main contribution of this paper is the introduction of a new system for interactive exploration and visual analysis of fiber properties in X-ray computed tomography data of fiber reinforced polymers. The presented tool uses parallel coordinates to define and configure initial fiber classes. Using a scatter plot matrix linked to the parallel coordinates the initial classification may be refined. This allows to analyze hidden relationships between individual fiber properties. 2D and 3D views depict the resulting fiber classifications. By using polar plots an intuitive rendering of the fiber orientation distribution is provided. In addition, two modules of higher abstraction are proposed: The Blob visualization creates a hull around fibers with similar characteristics. The fiber metadata visualization allows to calculate overlays for 2D and 3D views containing regional information of particular material characteristics. The proposed system has been evaluated by two groups of domain experts. Applying the presented concepts the user feedback shows that the domain experts are now able to efficiently perform tasks as classification of fibers, visualization of fiber lengths and orientations, and visualization of fiber regions. The insights gained can be forwarded to the design office as well as to material development and simulation, in order to speed up the development of novel composite components.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2992, "image_height": 874, "name": "weissenboeck-2014-teaser.jpg", "type": "image/jpeg", "size": 815566, "path": "Publication:weissenboeck-2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1169, 817, 1124, 1054, 1170, 166, 613, 611 ], "booktitle": "Proceedings of 2014 IEEE Pacific Visualization Symposium (PacificVis) (2014)", "date_from": "2014-03-04", "date_to": "2014-03-07", "isbn": "978-1-4799-2874-3 ", "lecturer": [ 1169 ], "location": "Yokohama", "pages_from": "153", "pages_to": "160", "publisher": "IEEE Computer Society", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "pdf", "filetitle": " paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "weissenboeck-2014- paper.pdf", "type": "application/pdf", "size": 5644418, "path": "Publication:weissenboeck-2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014- paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014- paper:thumb{{size}}.png" }, { "description": "pptx", "filetitle": " presentation", "main_file": true, "use_in_gallery": false, "access": "public", "name": "weissenboeck-2014- 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"video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014- submitted video:video.mp4" }, { "description": "", "filetitle": "blob ext video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1920, "preview_image_height": 1080, "name": "weissenboeck-2014-blob ext video.mp4", "type": "video/mp4", "size": 17872730, "path": "Publication:weissenboeck-2014", "preview_name": "weissenboeck-2014-blob ext video:preview.png", "preview_type": "image/jpeg", "preview_size": 41258, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-blob ext video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-blob ext video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-blob ext video:video.mp4" }, { "description": "", "filetitle": "blobs video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1920, "preview_image_height": 1080, "name": "weissenboeck-2014-blobs video.mp4", "type": "video/mp4", "size": 13309067, "path": "Publication:weissenboeck-2014", "preview_name": "weissenboeck-2014-blobs video:preview.png", "preview_type": "image/jpeg", "preview_size": 43542, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-blobs video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-blobs video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-blobs video:video.mp4" }, { "description": "", "filetitle": "classification video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1920, "preview_image_height": 1080, "name": "weissenboeck-2014-classification video.mp4", "type": "video/mp4", "size": 12653318, "path": "Publication:weissenboeck-2014", "preview_name": "weissenboeck-2014-classification video:preview.png", "preview_type": "image/jpeg", "preview_size": 37077, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-classification video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-classification video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-classification video:video.mp4" }, { "description": "", "filetitle": "metadata video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1920, "preview_image_height": 1080, "name": "weissenboeck-2014-metadata video.mp4", "type": "video/mp4", "size": 11050531, "path": "Publication:weissenboeck-2014", "preview_name": "weissenboeck-2014-metadata video:preview.png", "preview_type": "image/jpeg", "preview_size": 34123, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-metadata video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-metadata video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-metadata video:video.mp4" }, { "description": "", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2992, "image_height": 874, "name": "weissenboeck-2014-teaser.jpg", "type": "image/jpeg", "size": 815566, "path": "Publication:weissenboeck-2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/", "__class": "Publication" }, { "id": "bernhard-2014-EFD", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "The Effects of Fast Disparity Adjustments in Gaze-Controlled Stereoscopic Applications", "date": "2014-03", "abstract": "With the emergence of affordable 3D displays, stereoscopy is becoming\na commodity. However, often users report discomfort even after brief exposures to stereo content. One of the main reasons is the conflict between vergence and accommodation that is caused by 3D displays. We investigate dynamic adjustment of stereo parameters\nin a scene using gaze data in order to reduce discomfort. In a user study, we measured stereo fusion times after abrupt manipulation of disparities using gaze data. We found that gaze-controlled manipulation of disparities can lower fusion times for large disparities. In addition we found that gaze-controlled disparity adjustment should be applied in a personalized manner and ideally performed only at the extremities or outside the comfort zone of subjects.\nThese results provide important insight on the problems associated with fast disparity manipulation and are essential for developing appealing gaze-contingent and gaze-controlled applications.", "authors_et_al": false, "substitute": null, "main_image": { "description": "teaser", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1216, "image_height": 332, "name": "bernhard-2014-EFD-image.png", "type": "image/png", "size": 160276, "path": "Publication:bernhard-2014-EFD", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/bernhard-2014-EFD-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/bernhard-2014-EFD-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 660, 1017, 779, 731, 193 ], "booktitle": "Proceedings of the Symposium on Eye Tracking Research and Applications (ETRA 2014)", "date_from": "2014-03-26", "date_to": "2014-03-28", "editor": "Pernilla Qvarfordt and Dan Witzner Hansen", "isbn": "978-1-4503-2751-0", "lecturer": [ 660 ], "location": "Safety Harbor, FL, USA", "pages_from": "111", "pages_to": "118", "publisher": "ACM", "research_areas": [ "Perception" ], "keywords": [ "stereoscopic rendering", "comfort models", "fusion time", "eye tracking" ], "weblinks": [], "files": [ { "description": "conference paper", "filetitle": "draft", "main_file": false, "use_in_gallery": false, "access": "public", "name": "bernhard-2014-EFD-draft.pdf", "type": "application/pdf", "size": 4234907, "path": "Publication:bernhard-2014-EFD", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/bernhard-2014-EFD-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/bernhard-2014-EFD-draft:thumb{{size}}.png" }, { "description": "teaser", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1216, "image_height": 332, "name": "bernhard-2014-EFD-image.png", "type": "image/png", "size": 160276, "path": "Publication:bernhard-2014-EFD", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/bernhard-2014-EFD-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/bernhard-2014-EFD-image:thumb{{size}}.png" } ], "projects_workgroups": [ "PAMINA" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/", "__class": "Publication" }, { "id": "Guerrero-2014-GRF", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Edit Propagation using Geometric Relationship Functions", "date": "2014-03", "abstract": "We propose a method for propagating edit operations in 2D vector graphics, based on geometric relationship functions. These functions quantify the geometric relationship of a point to a polygon, such as the distance to the boundary or the direction to the closest corner vertex. The level sets of the relationship functions describe points with the same relationship to a polygon. For a given query point we ?rst determine a set of relationships to local features, construct all level sets for these relationships and accumulate them. The maxima of the resulting distribution are points with similar geometric relationships. We show extensions to handle mirror symmetries, and discuss the use of relationship functions as local coordinate systems. Our method can be applied for example to interactive ?oor-plan editing, and is especially useful for large layouts, where individual edits would be cumbersome. We demonstrate populating 2D layouts with tens to hundreds of objects by propagating relatively few edit operations.", "authors_et_al": false, "substitute": null, "main_image": { "description": "representative image", "filetitle": "representative_image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1520, "image_height": 1336, "name": "Guerrero-2014-GRF-representative_image.jpg", "type": "image/jpeg", "size": 517288, "path": "Publication:Guerrero-2014-GRF", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/Guerrero-2014-GRF-representative_image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/Guerrero-2014-GRF-representative_image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 627, 356, 193, 194 ], "date_from": "2014-08-10", "date_to": "2014-08-14", "doi": "10.1145/2591010", "event": "ACM SIGGRAPH 2014", "issn": "0730-0301", "journal": "ACM Transactions on Graphics", "lecturer": [ 627 ], "location": "Vancouver, Canada", "number": "2", "pages_from": "15:1", "pages_to": "15:15", "volume": "33", "research_areas": [ "Modeling" ], "keywords": [ "Shape Modeling", "Floor Plans", "Edit Propagation", "Geometric Relationship Functions" ], "weblinks": [ { "href": "http://doi.acm.org/10.1145/2591010", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "individual steps of the apartment building example", "filetitle": "apartment_editing", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Guerrero-2014-GRF-apartment_editing.pdf", "type": "application/pdf", "size": 12639838, "path": "Publication:Guerrero-2014-GRF", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/Guerrero-2014-GRF-apartment_editing.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/Guerrero-2014-GRF-apartment_editing:thumb{{size}}.png" }, { "description": "individual steps of the palace garden example", "filetitle": "garden_editing", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Guerrero-2014-GRF-garden_editing.pdf", "type": "application/pdf", "size": 74317887, "path": "Publication:Guerrero-2014-GRF", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/Guerrero-2014-GRF-garden_editing.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/Guerrero-2014-GRF-garden_editing:thumb{{size}}.png" }, { "description": "pre-print version of the paper", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Guerrero-2014-GRF-paper.pdf", "type": "application/pdf", "size": 16383816, "path": "Publication:Guerrero-2014-GRF", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/Guerrero-2014-GRF-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/Guerrero-2014-GRF-paper:thumb{{size}}.png" }, { "description": "representative image", "filetitle": "representative_image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1520, "image_height": 1336, "name": "Guerrero-2014-GRF-representative_image.jpg", "type": "image/jpeg", "size": 517288, "path": "Publication:Guerrero-2014-GRF", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/Guerrero-2014-GRF-representative_image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/Guerrero-2014-GRF-representative_image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/", "__class": "Publication" }, { "id": "ilcik-2014-cgbpmi", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Challenges in grammar-based procedural modeling of interiors", "date": "2014-02-04", "abstract": "While the creation of convincing cityscapes is a well researched\nproblemm, there is a lack of robust and efficient techniques for\nmodeling the interior of buildings. I my talk, I will introduce a\nrecently started research project on Data-Driven Procedural Modeling\nof Interiors. In particular, I will focus on challenges for the\nsubdivision of the interior space into rooms, placement of furniture\nand procedural generation of furniture pieces. Our preliminary results\nshow first succesful extensions and generalizations to commonly used\ngrammar-based approaches like the CGA-Shape or G^2 grammars.", "authors_et_al": false, "substitute": null, "main_image": { "description": "The pipeline for indoor architecture modeling", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1120, "image_height": 545, "name": "ilcik-2014-cgbpmi-image.png", "type": "image/png", "size": 109730, "path": "Publication:ilcik-2014-cgbpmi", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ilcik-2014-cgbpmi/ilcik-2014-cgbpmi-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ilcik-2014-cgbpmi/ilcik-2014-cgbpmi-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1303 ], "event": "High Visual Computing (HiVisComp) 2014", "lecturer": [ 1303 ], "location": "Pec pod Snezkou, Czech Republic", "research_areas": [ "Modeling" ], "keywords": [ "object placement", "formal grammars", "procedural modling", "ideas", "architecture" ], "weblinks": [], "files": [ { "description": "The pipeline for indoor architecture modeling", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1120, "image_height": 545, "name": "ilcik-2014-cgbpmi-image.png", "type": "image/png", "size": 109730, "path": "Publication:ilcik-2014-cgbpmi", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ilcik-2014-cgbpmi/ilcik-2014-cgbpmi-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ilcik-2014-cgbpmi/ilcik-2014-cgbpmi-image:thumb{{size}}.png" } ], "projects_workgroups": [ "PAMINA" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ilcik-2014-cgbpmi/", "__class": "Publication" }, { "id": "KREUZER-2014-DPA", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Depixelizing Pixel Art on GPUs", "date": "2014-02", "abstract": "Pixel art was frequently employed in games of the 90s and earlier. On today's large and high-resolution displays, pixel art looks blocky. Recently, an algorithm was introduced by Johannes Kopf and Dani Lischinski to create a smooth, resolution-indepenent vector representation from pixel art (see image). However, the algorithm is far too slow for interactive use for example in a game. The goal of this project was to implement the algorithm efficiently and on the GPU, so that it can be incorporated into current game emulators (ScummVM, dosemu, ...).\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 438, "image_height": 357, "name": "KREUZER-2014-DPA-image.png", "type": "image/png", "size": 36906, "path": "Publication:KREUZER-2014-DPA", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/KREUZER-2014-DPA/KREUZER-2014-DPA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/KREUZER-2014-DPA/KREUZER-2014-DPA-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1046 ], "date_end": "2013-09-09", "date_start": "2012-11-05", "matrikelnr": "0827433", "supervisor": [ 193 ], "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://github.com/falichs/Depixelizing-Pixel-Art-on-GPUs", "caption": "Repository", "description": "Github repository for source code", "main_file": 0 } ], "files": [ { "description": "Executable demo with some example data sets", "filetitle": "demo", "main_file": false, "use_in_gallery": false, "access": "public", "name": "KREUZER-2014-DPA-demo.zip", "type": "application/zip", "size": 2159272, "path": "Publication:KREUZER-2014-DPA", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/KREUZER-2014-DPA/KREUZER-2014-DPA-demo.zip", "thumb_image_sizes": [] }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 438, "image_height": 357, "name": "KREUZER-2014-DPA-image.png", "type": "image/png", "size": 36906, "path": "Publication:KREUZER-2014-DPA", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/KREUZER-2014-DPA/KREUZER-2014-DPA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/KREUZER-2014-DPA/KREUZER-2014-DPA-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/KREUZER-2014-DPA/", "__class": "Publication" }, { "id": "filipovic-2014-dect", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Noise Reduction in Medical DECT Data", "date": "2014-02", "abstract": "Dual energy computed tomography (DECT) recently gained popularity for medical diagnostic imaging. It has been demonstrated how DECT can improve density measurement and material differentiation, and practical applications for DECT imaging in medicine. Noise reduction is standard operation in the process of image enhancement which is necessary operation prior to image evaluation done by radiologist. In this work, we describe two approaches for noise reduction using DECT data. First, we show in the work that the cross or joint bilateral filter can be effectively used on DECT images to reduce noise while preserving edges. Second, noise in two DECT images is anti-correlated and can be effectively removed by the KCNR algorithm. Even better results can be achieved by using algorithms that exploit an additional characteristic information of DECT data, such as the spectral information. It was shown that the KCNR can increase its performance regarding quality when the spectral information is corrected before applying the KCNR. AngioVis framework provides ability to present and manipulate CT data. All discussed image enhancement algorithms are implemented in AngioVis as a plugin.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1179 ], "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "The written bachelor thesis (8 MB).", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "filipovic-2014-dect-thesis.pdf", "type": "application/pdf", "size": 7975152, "path": "Publication:filipovic-2014-dect", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/filipovic-2014-dect/filipovic-2014-dect-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/filipovic-2014-dect/filipovic-2014-dect-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/filipovic-2014-dect/", "__class": "Publication" }, { "id": "Groeller_Eduard_2014_UCT", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Uncertainty in CT Metrology: Visualizations for Exploration and Analysis of Geometric Tolerances", "date": "2014-02", "abstract": "Industrial 3D X-ray computed tomography (3DXCT) is increasingly applied as a technique for metrology applications. In contrast to comventional metrology tools such as coordinate measurement\nmachines (CMMs). 3DXCT only estimates the exact position of the specimen’s surface and is subjected to a specific set of artifact types. These factors result in uncertainty that is present in the data. Previous work by Amirkhanov et. al [2] presented a tool prototype that is taking such uncertainty into account when measuring geometric tolerances such as straightness, circularity, or flatness.\nIn this paper we extend the previous work with two more geometric tolerance types: cylindricity and angularity. We provide methods and tools for visualization, inspection, and analysis of these tolerances. For the cylindricity tolerance we employ neighboring profiles visualization, box-plot overview, and interactive 3D view. We evaluate applicability and usefulness our methods on a new TP03 data set, and present results and new potential use cases.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1500, "image_height": 800, "name": "Groeller_Eduard_2014_UCT-.jpg", "type": "image/jpeg", "size": 190059, "path": "Publication:Groeller_Eduard_2014_UCT", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/Groeller_Eduard_2014_UCT-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/Groeller_Eduard_2014_UCT-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 817, 1191, 789, 613, 166, 611 ], "booktitle": "Proceedings of 5th Conference on Industrial Computed Tomography (iCT Conference 2014)", "date_from": "2014-02-25", "date_to": "2014-02-28", "event": "iCT Conference 2014", "issn": "978-3-8440-2557-6", "journal": "Proceedings of iCT 2014", "lecturer": [ 817 ], "location": "Wels, Austria", "pages_from": "189", "pages_to": "195", "research_areas": [ "VisMat" ], "keywords": [ "metrology", "level-of-details", "uncertainty visualization", "Industrial 3D computed tomography" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1500, "image_height": 800, "name": "Groeller_Eduard_2014_UCT-.jpg", "type": "image/jpeg", "size": 190059, "path": "Publication:Groeller_Eduard_2014_UCT", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/Groeller_Eduard_2014_UCT-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/Groeller_Eduard_2014_UCT-:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Groeller_Eduard_2014_UCT-Paper.pdf", "type": "application/pdf", "size": 1698956, "path": "Publication:Groeller_Eduard_2014_UCT", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/Groeller_Eduard_2014_UCT-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/Groeller_Eduard_2014_UCT-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/", "__class": "Publication" }, { "id": "Tragust-2014-master-thesis", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Integrating Annotations into a Point-based Rendering System", "date": "2014-01", "abstract": "The preservation of archaeological sites is an important task in cultural heritage. Classical methods\r\nconserve archaeological objects in museums and provide restoration of archaeological sites\r\nthreatened by decay. The improved digitalization provides the possibility to generate an accurate\r\nrepresentation of archaeological sites by using laser scanners. The resulting point clouds\r\ncan preserve the archaeological site and provide the possibility to view it in its digital form even\r\nif it no longer exists.\r\nUsually, the archaeological site comes with a lot of different material, which has been created\r\nover the years. This material provides information about the digitalized object, which helps to\r\ngain a deeper understanding about the presented archaeological site.\r\nThis thesis presents an annotation system for a point-cloud renderer. The system allows\r\nadding annotations in the 3D space next to the part of the point cloud it belongs to. This helps to\r\nprovide the additional information of the point cloud in the context it belongs to. Moreover, each\r\nannotation should present interesting information about specific annotated parts of the archaeological\r\nsite to the viewer. Besides simple textual annotations, a variable amount of documents,\r\nsuch as images and PDFs, can be attached to each annotation to provide all kind of information.\r\nSeveral filtering techniques, including viewpoint-dependent priority filtering, are presented\r\nto control the visibility of the annotations. Moreover, a guidance system based on graphs is\r\nintroduced to lead viewers to different points of interest, which are represented as annotations.\r\nTo provide a clear connection between annotations and the annotated part of the point cloud,\r\na point-selection method and a point-marking method are presented. To allow the connection of\r\na large set of annotations to a single point cloud, these methods are developed in CUDA. This\r\nis done by extending existing methods, which create octrees in CUDA. The developed methods\r\nallow fast execution on the GPU while a CPU-based method is not able to handle such a large\r\namount of point selections in real-time.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Annotations in a point cloud", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 483, "name": "Tragust-2014-master-thesis-image.jpg", "type": "image/jpeg", "size": 140762, "path": "Publication:Tragust-2014-master-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/Tragust-2014-master-thesis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/Tragust-2014-master-thesis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 867 ], "date_start": "2012-06-26", "diploma_examina": "2014", "matrikelnr": "0827047", "supervisor": [ 614, 193 ], "research_areas": [], "keywords": [ "user guidance", "annotating objects", "information system" ], "weblinks": [], "files": [ { "description": "Annotations in a point cloud", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 483, "name": "Tragust-2014-master-thesis-image.jpg", "type": "image/jpeg", "size": 140762, "path": "Publication:Tragust-2014-master-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/Tragust-2014-master-thesis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/Tragust-2014-master-thesis-image:thumb{{size}}.png" }, { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Tragust-2014-master-thesis-thesis.pdf", "type": "application/pdf", "size": 15412486, "path": "Publication:Tragust-2014-master-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/Tragust-2014-master-thesis-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/Tragust-2014-master-thesis-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/", "__class": "Publication" }, { "id": "scheiblauer-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Interactions with Gigantic Point Clouds", "date": "2014", "abstract": "During the last decade the increased use of laser range-scanners for sampling the environment has led to gigantic point cloud data sets. Due to the size of such data sets, tasks like viewing, editing, or presenting the data have become a challenge per se, as the point data is too large to fit completely into the main memory of a customary computer system. In order to accomplish these tasks and enable the interaction with gigantic point clouds on consumer grade computer systems, this thesis presents novel methods and data structures for efficiently dealing with point cloud data sets consisting of more than 109 point samples. \r\n\r\nTo be able to access point samples fast that are stored on disk or in memory, they have to be spatially ordered, and for this a data structure is proposed which organizes the points samples in a level-of-detail hierarchy. Point samples stored in this hierarchy cannot only be rendered fast, but can also be edited, for example existing points can be deleted from the hierarchy or new points can be inserted. Furthermore, the data structure is memory efficient, as it only uses the point samples from the original data set. Therefore, the memory consumption of the point samples on disk, when stored in this data structure, is comparable to the original data set. A second data structure is proposed for selecting points. This data structure describes a volume inside which point samples are considered to be selected, and this has the advantage that the information about a selection does not have to be stored at the point samples. \r\n\r\nIn addition to these two previously mentioned data structures, which represent novel contributions for point data visualization and manipulation, methods for supporting the presentation of point data sets are proposed. With these methods the user experience can be enhanced when navigating through the data. One possibility to do this is by using regional meshes that employ an out-of-core texturing method to show details in the mesoscopic scale on the surface of sampled objects, and which are displayed together with point clouds. Another possibility to increase the user experience is to use graphs in 3D space, which helps users to orient themselves inside point cloud models of large sites, where otherwise it would be difficult to find the places of interest. Furthermore, the quality of the displayed point cloud models can be increased by using a point size heuristics that can mimic a closed surface in areas that would otherwise appear undersampled, by utilizing the density of the rendered points in the different areas of the point cloud model. \r\n\r\nFinally, the use of point cloud models as a tool for archaeological work is proposed. Since it becomes increasingly common to document archaeologically interesting monuments with laser scanners, the number application areas of the resulting point clouds is raising as well. These include, but are not limited to, new views of the monument that are impossible when studying the monument on-site, creating cuts and floor plans, or perform virtual anastylosis. \r\n\r\nAll these previously mentioned methods and data structures are implemented in a single software application that has been developed during the course of this thesis and can be used to interactively explore gigantic point clouds.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Point model of the Wiener Stephansdom consisting of 460 million points", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1116, "image_height": 784, "name": "scheiblauer-thesis-image.png", "type": "image/png", "size": 736820, "path": "Publication:scheiblauer-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/scheiblauer-thesis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/scheiblauer-thesis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 614 ], "date_end": "2014-07", "date_start": "2006-12", "reviewer_1": [ 193 ], "reviewer_2": [ 1326 ], "rigorosum": "2014-07-18", "supervisor": [ 193 ], "research_areas": [], "keywords": [ "point-based rendering", "out-of-core rendering", "data structures", "complexity analysis" ], "weblinks": [], "files": [ { "description": "Point model of the Wiener Stephansdom consisting of 460 million points", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1116, "image_height": 784, "name": "scheiblauer-thesis-image.png", "type": "image/png", "size": 736820, "path": "Publication:scheiblauer-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/scheiblauer-thesis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/scheiblauer-thesis-image:thumb{{size}}.png" }, { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "scheiblauer-thesis-thesis.pdf", "type": "application/pdf", "size": 83650812, "path": "Publication:scheiblauer-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/scheiblauer-thesis-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/scheiblauer-thesis-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "TERAPOINTS", "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/", "__class": "Publication" }, { "id": "silvana_2014", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Automated Lighting Design For Photorealistic Rendering", "date": "2014", "abstract": "We present a novel technique to minimize the number of light sources\nin a virtual 3D scene without introducing any perceptible changes to it.\nThe theoretical part of the thesis\ngives an overview on previous research in the field of automated lighting\ndesign, followed by an introduction to the theory of rendering and genetic \nalgorithms. \nThe implementation is done as extension called \"Light Source Cleaner\"\nto LuxRender, a physically based, open-source renderer.\nThe algorithm adjusts the intensities of the light sources in a \nway that certain light sources can be canceled out, thus enabling to render \na similar image with significantly less number of light sources, \nintroducing a remarkable reduction to the execution time of scenes where many light sources are used.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 400, "image_height": 300, "name": "silvana_2014-.png", "type": "image/png", "size": 88867, "path": "Publication:silvana_2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/silvana_2014/silvana_2014-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/silvana_2014/silvana_2014-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1130 ], "date_end": "2014-02-01", "date_start": "2013-10-01", "matrikelnr": "0605836", "supervisor": [ 193, 1073 ], "research_areas": [ "Rendering" ], "keywords": [ "global illumination", "photorealistic rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 400, "image_height": 300, "name": "silvana_2014-.png", "type": "image/png", "size": 88867, "path": "Publication:silvana_2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/silvana_2014/silvana_2014-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/silvana_2014/silvana_2014-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "silvana_2014-paper.pdf", "type": "application/pdf", "size": 5574577, "path": "Publication:silvana_2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/silvana_2014/silvana_2014-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/silvana_2014/silvana_2014-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Mofa" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/silvana_2014/", "__class": "Publication" }, { "id": "sippl-2014-fss", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Framework for Shape Segmentation", "date": "2014", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 770, "name": "sippl-2014-fss-image.png", "type": "image/png", "size": 378913, "path": "Publication:sippl-2014-fss", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/sippl-2014-fss/sippl-2014-fss-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/sippl-2014-fss/sippl-2014-fss-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1211 ], "date_end": "2014-07-05", "date_start": "2014-03-12", "matrikelnr": "0421271 ", "supervisor": [ 844 ], "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "geometry processing", "shape segmentation", "shape processing" ], "weblinks": [], "files": [ { "description": "docu", "filetitle": "docu", "main_file": false, "use_in_gallery": false, "access": "public", "name": "sippl-2014-fss-docu.pdf", "type": "application/pdf", "size": 525315, "path": "Publication:sippl-2014-fss", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/sippl-2014-fss/sippl-2014-fss-docu.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/sippl-2014-fss/sippl-2014-fss-docu:thumb{{size}}.png" }, { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 770, "name": "sippl-2014-fss-image.png", "type": "image/png", "size": 378913, "path": "Publication:sippl-2014-fss", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/sippl-2014-fss/sippl-2014-fss-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/sippl-2014-fss/sippl-2014-fss-image:thumb{{size}}.png" } ], "projects_workgroups": [ "Mofa" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/sippl-2014-fss/", "__class": "Publication" }, { "id": "tweebo-2014", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Tweebo - Ein Geo-Basierter Twitter-Client", "date": "2014", "abstract": "Twitter ist eine online Plattform, welche sich darauf spezialisiert hat Kurznachrichten, auch Tweets genannt, zu erstellen und in weiterer Folge online zu publizieren. Sobald ein Benutzer ein entsprechendes Twitter-Konto erstellt hat, hat er die Möglichkeit Kurznachrichten zu verfassen und per Favoritensystem andere Nachrichten-Streams zu verfolgen. Jeder Benutzer erhält seine eigene Twitter-Website, auf welcher seine Nachrichten einzusehen sind. Twitter wird auch gerne als Mikroblogging Plattform bezeichnet.\r\nNeben Facebook ist Twitter einer der großen Namen im Bereich der sozialen Netzwerke.\r\n\r\nKurznachrichten, welche auf 140 Zeichen limitiert sind, bilden die Basis der Plattform. Diese enthalten neben der eigentlichen Nachricht, Metadaten, welche weitere Verarbeitungsebenen ermöglichen. Unter anderem stellt Twitter eine umfangreiche REST-API zur Verfügung. Diese ermöglicht es Drittanbietern die Funktionalität von Twitter in andere Applikationen zu integrieren. Die Zurverfügungstellung dieser Schnittstelle wirkt einer Kapselung der Twitter-Umgebung entgegen und motiviert neue Einsatzmöglichkeiten.\r\n\r\nTweebo stellt eine dieser neuen Einsatzmöglichkeiten dar, fokusiert sich speziell auf den Standortaspekt eines Tweets und kann als geo-basierter Twitter Client für iOS, welcher\r\neine wertvolle Kombination aus reinen Nachrichtenaspekten und Geolokalisierungen kombiniert, bezeichnet werden. Er wurde speziell für iOS entwickelt. Durch die außergewöhnliche Darstellung von Tweets auf einem dreidimensionalen Globus, wird es dem Benutzer ermöglicht, schnell Veränderungen im Weltgeschehen zu erkennen. Verschiedene Visualisierungsmöglichkeiten stellen erstmals eine geobasierte Darstellung\r\nvon Tweets, auf einem mobilen Gerät ansprechend zur Verfügung. Tweebo versucht einen globalen Bezug hinsichtlich der Twitteraktivitäten eines Benutzers zu visualisieren. Anstelle einer gewohnten Listenansicht ermöglicht Tweebo, durch Verarbeitung der zusätzlichen Lokalisierungsdaten pro Kurznachricht, eine angepasste Ansicht auf einem dreidimensionalen Globus. Neben der eigentlichen Lokalisierung der Kurznachrichten auf dem Globus ermöglicht Tweebo auch die Visualisierung der Aktivitätsintensität eines Nachrichtenstreams.\r\n\r\nDer Tweebo iOS Client unterstützt die primären Twitter-Funktionlitäten. Natürlich können Kurznachrichten erstellt und abgerufen werden, diese Funktionalitäten werden aber mit einer zusätzlichen Visualisierungsebene, dem dreidimensionalen Globus erweitert.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 257, "image_height": 171, "name": "tweebo-2014-teaser.png", "type": "image/png", "size": 132287, "path": "Publication:tweebo-2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/tweebo-2014/tweebo-2014-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/tweebo-2014/tweebo-2014-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 930, 929 ], "date_end": "2014-01", "date_start": "2013-03", "matrikelnr": "0326465, 0326357", "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 257, "image_height": 171, "name": "tweebo-2014-teaser.png", "type": "image/png", "size": 132287, "path": "Publication:tweebo-2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/tweebo-2014/tweebo-2014-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/tweebo-2014/tweebo-2014-teaser:thumb{{size}}.png" }, { "description": "The thesis in PDF format.", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 585, "preview_image_height": 508, "name": "tweebo-2014-thesis.pdf", "type": "application/pdf", "size": 19187967, "path": "Publication:tweebo-2014", "preview_name": "tweebo-2014-thesis:preview.png", "preview_type": "image/png", "preview_size": 893542, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/tweebo-2014/tweebo-2014-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/tweebo-2014/tweebo-2014-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/tweebo-2014/", "__class": "Publication" }, { "id": "Kehrer-2014-CSD", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Interactive Visual Analysis of Complex Scientific Data", "date": "2014", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 983 ], "date_from": "2014-01-07", "event": "TU München", "location": "Munich, Germany", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Kehrer-2014-CSD/", "__class": "Publication" }, { "id": "labschuetz-2014-IGI", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Image Based Global Illumination", "date": "2014", "abstract": "The aim of this project was to find out how good image based global illumination can approximate ray-traced global illumination. The work identifies advantages and disadvantages of such techniques and gives some insight into how screen-space global illumination could be achieved in future works.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 840 ], "matrikelnr": "8971103", "note": "1", "supervisor": [ 193, 779 ], "research_areas": [], "keywords": [ "Global Illumination", "Screen Space", "Image Space", "Evaluation" ], "weblinks": [], "files": [ { "description": "Detailed report on how the project was realized plus discussion of results.", "filetitle": "Project Report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "labschuetz-2014-IGI-Project Report.pdf", "type": "application/pdf", "size": 962560, "path": "Publication:labschuetz-2014-IGI", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/labschuetz-2014-IGI/labschuetz-2014-IGI-Project Report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/labschuetz-2014-IGI/labschuetz-2014-IGI-Project Report:thumb{{size}}.png" }, { "description": "Source code of the student project.", "filetitle": "Source Code", "main_file": false, "use_in_gallery": false, "access": "public", "name": "labschuetz-2014-IGI-Source Code.zip", "type": "application/zip", "size": 78407837, "path": "Publication:labschuetz-2014-IGI", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/labschuetz-2014-IGI/labschuetz-2014-IGI-Source Code.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/labschuetz-2014-IGI/", "__class": "Publication" }, { "id": "leimer-2014-fsco", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "A Framework for Shape Co-Analysis", "date": "2014", "abstract": "This application serves as a framework for Co-Analysis, in which a set of meshes of a specific category (e.g. candelabra or chairs) is analysed in an attempt to group the parts constituting each mesh into semantic categories. This is achieved by first individually subdividing each mesh into smaller segments and then clustering the segments of all meshes based on their face-level features. In the example pictured above, the mesh parts are grouped into 4 distinct categories, each represented by a different color. Furthermore, the framework allows the selection of different algorithms for each step of the Co-Analysis pipeline and can also be easily extended by adding more algorithms. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1121, "image_height": 600, "name": "leimer-2014-fsco-image.jpg", "type": "image/jpeg", "size": 522033, "path": "Publication:leimer-2014-fsco", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/leimer-2014-fsco-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/leimer-2014-fsco-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1019 ], "date_start": "2014-09-01", "matrikelnr": "0825842", "supervisor": [ 844 ], "research_areas": [], "keywords": [ "shape processing", "shape segmentation", "shape co-analysis" ], "weblinks": [], "files": [ { "description": "docu", "filetitle": "docu", "main_file": false, "use_in_gallery": false, "access": "public", "name": "leimer-2014-fsco-docu.pdf", "type": "application/pdf", "size": 356192, "path": "Publication:leimer-2014-fsco", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/leimer-2014-fsco-docu.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/leimer-2014-fsco-docu:thumb{{size}}.png" }, { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1121, "image_height": 600, "name": "leimer-2014-fsco-image.jpg", "type": "image/jpeg", "size": 522033, "path": "Publication:leimer-2014-fsco", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/leimer-2014-fsco-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/leimer-2014-fsco-image:thumb{{size}}.png" } ], "projects_workgroups": [ "PAMINA" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/", "__class": "Publication" }, { "id": "lemuzic_2014_ipv", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Illustrative Visualization of Biochemical Processes Featuring Multiple Temporal Scales", "date": "2014", "abstract": "Scientific illustrators are commonly using structural description of molecular compounds when depicting complex biochemical processes. However, computational biology also provides procedural models describing the function of biological processes which are not currently used in the production pipeline. Instead, animators utilize scientific knowledge to manually animate and reproduce the functioning of cellular biology. We would like to explore the use of such models in order to generate explanatory illustrations that would show how molecular machinery works. Particle-based simulations provide the means for spatially representing the dynamics of biochemical processes. They compute the positions of each single particle and are supposed to \nmimic a realistic behaviour of the metabolites. Current mesoscale visualization also allows to directly show the results of such simulations by mapping the positions of particles in a virtual 3D environment. Nevertheless, some biochemical processes, like the DNA repair for instance, exhibit temporal multiscale aspects because they comprise diffusion rates which are much greater in comparison with reaction rates. As a result, it is challenging to produce a clear and coherent visualization out of this type of simulation. Indeed, when viewing the process at the pace which would let us see the reactions, it becomes impossible for the human eye to keep track of individual elements because of the very large diffusion displacements. On the other hand, if one would playback the simulation slow enough to be see a steady motion of individual elements, then only a very few number of reactions would occur in a reasonable amount of time. In this work we propose to solve the problem associated with multiple temporal scales by providing means for spatial. With this approach we aim at showing the two different temporal scale at the same time by using advanced trajectory smoothing mechanism. This would allow us to see individual elements while showing a world full of reactions, hence enabling us to communicate complex biological processes and molecular machineries in a comprehensive way.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "lemuzic_2014_ipv-.pdf", "type": "application/pdf", "size": 823052, "path": "Publication:lemuzic_2014_ipv", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic_2014_ipv/lemuzic_2014_ipv-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic_2014_ipv/lemuzic_2014_ipv-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1189, 1143, 1110, 171 ], "date_from": "2014-09-04", "date_to": "2014-09-05", "event": "Eurographics Workshop on Visual Computing for Biology", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "lemuzic_2014_ipv-.pdf", "type": "application/pdf", "size": 823052, "path": "Publication:lemuzic_2014_ipv", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic_2014_ipv/lemuzic_2014_ipv-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic_2014_ipv/lemuzic_2014_ipv-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic_2014_ipv/", "__class": "Publication" }, { "id": "lkoell-2014", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visualization in the Cloud", "date": "2014", "abstract": "As currently many new visualization techniques are developed, the need for rapid prototyping systems has arisen. Current visualization prototyping software provides extensive features, however it often lacks the possibility to easily start new visualization prototypes as well as the possibility to share and collaboratively work on those prototypes. Also, existing solutions involve a cumbersome and slow development process, because hardware-near solutions often require recompilation after every development step. The availability of hardware\r\nresources (e.g. GPU) is limited, hence a remote solution is required to take advantage of them, which also solves the problem of having to transfer large volume datasets. In this thesis, a system named VolumeShop Playground is introduced that compensates for the\r\nabove stated disadvantages while still allowing for hardware-near development of realtime visualizations. VolumeShop Playground is based on the existing VolumeShop framework,enhances it by a scripting API and provides a web frontend for simple setup and collaboration. The fact that we use a modern scripting language instead of recompiling the source code every time will supply a tremendous increase in development speed.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 702, "image_height": 483, "name": "lkoell-2014-teaser.png", "type": "image/png", "size": 1019387, "path": "Publication:lkoell-2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1168 ], "date_end": "2014-02", "date_start": "2013-05", "matrikelnr": "1025785", "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "exploring the display view of Volumeshop Playground", "filetitle": "demo-video1", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 645, "preview_image_height": 437, "name": "lkoell-2014-demo-video1.mp4", "type": "video/mp4", "size": 42949286, "path": "Publication:lkoell-2014", "preview_name": "lkoell-2014-demo-video1:preview.png", "preview_type": "image/png", "preview_size": 847461, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-demo-video1.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-demo-video1:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-demo-video1:video.mp4" }, { "description": "using the interactive scripting tool", "filetitle": "demo-video2", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 701, "preview_image_height": 445, "name": "lkoell-2014-demo-video2.mp4", "type": "video/mp4", "size": 48299014, "path": "Publication:lkoell-2014", "preview_name": "lkoell-2014-demo-video2:preview.png", "preview_type": "image/png", "preview_size": 937851, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-demo-video2.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-demo-video2:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-demo-video2:video.mp4" }, { "description": "using the interactive shader programming tool", "filetitle": "demo-video3", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 871, "preview_image_height": 539, "name": "lkoell-2014-demo-video3.mp4", "type": "video/mp4", "size": 68901722, "path": "Publication:lkoell-2014", "preview_name": "lkoell-2014-demo-video3:preview.png", "preview_type": "image/png", "preview_size": 1411288, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-demo-video3.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-demo-video3:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-demo-video3:video.mp4" }, { "description": "", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 702, "image_height": 483, "name": "lkoell-2014-teaser.png", "type": "image/png", "size": 1019387, "path": "Publication:lkoell-2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-teaser:thumb{{size}}.png" }, { "description": "written bachelor thesis (3.4 MB)", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1162, "preview_image_height": 848, "name": "lkoell-2014-thesis.pdf", "type": "application/pdf", "size": 3515301, "path": "Publication:lkoell-2014", "preview_name": "lkoell-2014-thesis:preview.png", "preview_type": "image/png", "preview_size": 2961821, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/", "__class": "Publication" }, { "id": "mindek_peter-2014-cs_kaust", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Managing Spatial Selections with Contextual Snapshots", "date": "2014", "abstract": "Spatial selections are a ubiquitous concept in visualization. By localizing particular features, they can be analyzed and compared in different views. However, the semantics of such selections often depend on specific parameter settings and it can be difficult to reconstruct them without additional information. In this paper, we present the concept of contextual snapshots as an effective means for managing spatial selections in visualized data. The selections are automatically associated with the context in which they have been created. Contextual snapshots can also be used as the basis for interactive integrated and linked views, which enable in-place investigation and comparison of multiple visual representations of data. Our approach is implemented as a flexible toolkit with well-defined interfaces for integration into existing systems. We demonstrate the power and generality of our techniques by applying them to several distinct scenarios such as the visualization of simulation data, the analysis of historical documents, and the display of anatomical data.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 153, "name": "mindek_peter-2014-cs_kaust-.png", "type": "image/png", "size": 77248, "path": "Publication:mindek_peter-2014-cs_kaust", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek_peter-2014-cs_kaust/mindek_peter-2014-cs_kaust-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek_peter-2014-cs_kaust/mindek_peter-2014-cs_kaust-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935 ], "date_from": "2014-02-12", "event": "Scientific meeting of Visual Computing Center", "location": "King Abdullah University of Science and Technology, Saudi Arabia", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 153, "name": "mindek_peter-2014-cs_kaust-.png", "type": "image/png", "size": 77248, "path": "Publication:mindek_peter-2014-cs_kaust", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek_peter-2014-cs_kaust/mindek_peter-2014-cs_kaust-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek_peter-2014-cs_kaust/mindek_peter-2014-cs_kaust-:thumb{{size}}.png" }, { "description": "", "filetitle": "Slides + Video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek_peter-2014-cs_kaust-Slides + Video.zip", "type": "application/zip", "size": 23651573, "path": "Publication:mindek_peter-2014-cs_kaust", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek_peter-2014-cs_kaust/mindek_peter-2014-cs_kaust-Slides + Video.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek_peter-2014-cs_kaust/", "__class": "Publication" }, { "id": "mindek-2014-vivi_cvut", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "ViviSection: Skeleton-based Volume Editing", "date": "2014", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 275, "image_height": 276, "name": "mindek-2014-vivi_cvut-.png", "type": "image/png", "size": 116148, "path": "Publication:mindek-2014-vivi_cvut", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-vivi_cvut/mindek-2014-vivi_cvut-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-vivi_cvut/mindek-2014-vivi_cvut-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935 ], "date_from": "2014-05-28", "event": "Scientific meeting of Department of Computer Graphics and Interaction", "location": "Czech Technical University in Prague", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 275, "image_height": 276, "name": "mindek-2014-vivi_cvut-.png", "type": "image/png", "size": 116148, "path": "Publication:mindek-2014-vivi_cvut", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-vivi_cvut/mindek-2014-vivi_cvut-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-vivi_cvut/mindek-2014-vivi_cvut-:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-vivi_cvut/", "__class": "Publication" }, { "id": "mindek-xmas-card-2014", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2014", "date": "2014", "abstract": "This greeting card shows a Christmas preparation scene - the origin of the Christmas tree. Don't feel bad for the tree! In fact, it is happy to bring joy to children and get fancy makeup too. It is just a bit shocked at this moment.\r\nIn the sky we see several constellations. From left, there are Encephalon, Maestros, Pelvis, and Infans. The interpretations of the constellations are created through medical-visualization technology. Even though these constellations have not yet been discovered, they might be one day.\r\n\r\nDiese Grußkarte zeigt eine Weihnachtsvorbereitungsszene - der Ursprung des Weihnachtsbaumes. Sie brauchen den Baum nicht zu bedauern! Tatsächlich ist er froh, Kinder glücklich zu machen und schön geschmückt zu werden. Er ist nur in diesem Moment ein wenig geschockt.\r\nAm Himmel sieht man mehrere Sternzeichen. Von links nach rechts sind das Encephalon, Maestros, Pelvis und Infans. Die Interpretationen wurden durch medizinische Visualisierungen erzeugt. Zwar wurden diese Sternbilder bisher noch nicht entdeckt, das könnte sich aber eines Tages ändern.\r\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 640, "image_height": 451, "name": "mindek-xmas-card-2014-.png", "type": "image/png", "size": 296141, "path": "Publication:mindek-xmas-card-2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 640, "image_height": 451, "name": "mindek-xmas-card-2014-.png", "type": "image/png", "size": 296141, "path": "Publication:mindek-xmas-card-2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-:thumb{{size}}.png" }, { "description": "", "filetitle": "Picture", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1128, "name": "mindek-xmas-card-2014-Picture.png", "type": "image/png", "size": 1615126, "path": "Publication:mindek-xmas-card-2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-Picture.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-Picture:thumb{{size}}.png" }, { "description": "", "filetitle": "X-Mas card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-xmas-card-2014-X-Mas card.pdf", "type": "application/pdf", "size": 53097916, "path": "Publication:mindek-xmas-card-2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-X-Mas card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-X-Mas card:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/", "__class": "Publication" }, { "id": "mistelbauer-2014-ekc", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Advanced Vessel Visualization", "date": "2014", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 869 ], "date_from": "2014-07-24", "date_to": "2014-07-24", "event": "EU-Korea Conference on Science and Technology", "location": "Vienna, Austria", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mistelbauer-2014-ekc/", "__class": "Publication" }, { "id": "Purgathofer_2014_AOR", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Application Oriented Research at the VRVis Center", "date": "2014", "abstract": "The talk will describe how the VRVis Research Center was founded and how it functions today. Several application driven projects are outlined and some nice results are shown. He will also discuss the role of application oriented research institutions in the innovation pipeline, and the role and composition of the company partners will be explained. Finally, he will outline main requirements for the necessary qualifications of researchers at an application oriented research institution.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2014-01-22", "event": "The Visualization and Data Analysis group of the University of Vienna", "location": "HS3, Währinger Str. 29, Informatik, Uni Wien", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer_2014_AOR/", "__class": "Publication" }, { "id": "Purgathofer-2014-ETH", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Aspects of Scientific Research in Cooperation with Companies", "date": "2014", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2014-07-04", "event": "20 Year Anniversary of CGL at ETH", "location": "Zürich, Switzerland", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-ETH/", "__class": "Publication" }, { "id": "Purgathofer-2014-EurasiaGr", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Accurate Fast Simulation of Light", "date": "2014", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2014-10-14", "event": "Eurasia Graphics", "location": "Ankara, Turkey", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-EurasiaGr/", "__class": "Publication" }, { "id": "Purgathofer-2014-Pantalk", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Requirements on the Staff of an Application Oriented Research Organization", "date": "2014", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2014-05-27", "event": "Current Issues of Science and Research in the Global World 2014", "location": "Vienna, Austria", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-Pantalk/", "__class": "Publication" }, { "id": "Purgathofer-2014-Rio", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Computer Graphics in Vienna and at the VRVis Research Center", "date": "2014", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2014-10-29", "event": "Computer Graphics Lab at Universidade Federal do Rio de Janeiro", "location": "Rio de Janeiro, Brazil", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-Rio/", "__class": "Publication" }, { "id": "raidou_vcbm14", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "The iCoCooN:Integration of Cobweb Charts with Parallel Coordinates forVisual Analysis of DCE-MRI Modeling Variations", "date": "2014", "abstract": "Efficacy of radiotherapy treatment depends on the specific characteristics of tumorous tissues. For the determi-nation of these characteristics, clinical practice uses Dynamic Contrast Enhanced (DCE) Magnetic ResonanceImaging (MRI). DCE-MRI data is acquired and modeled using pharmacokinetic modeling, to derive per voxela set of parameters, indicative of tissue properties. Different pharmacokinetic modeling approaches make differ-ent assumptions, resulting in parameters with different distributions. A priori, it is not known whether there aresignificant differences between modeling assumptions and which assumption is best to apply. Therefore, clinicalresearchers need to know at least how different choices in modeling affect the resulting pharmacokinetic parame-ters and also where parameter variations appear. In this paper, we introduce iCoCooN: a visualization applicationfor the exploration and analysis of model-induced variations in pharmacokinetic parameters. We designed a visualrepresentation, the Cocoon, by integrating perpendicularly Parallel Coordinate Plots (PCPs) with Cobweb Charts(CCs). PCPs display the variations in each parameter between modeling choices, while CCs present the relationsin a whole parameter set for each modeling choice. The Cocoon is equipped with interactive features to supportthe exploration of all data aspects in a single combined view. Additionally, interactive brushing allows to link theobservations from the Cocoon to the anatomy. We conducted evaluations with experts and also general users. Theclinical experts judged that the Cocoon in combination with its features facilitates the exploration of all significantinformation and, especially, enables them to find anatomical correspondences. The results of the evaluation withgeneral users indicate that the Cocoon produces more accurate results compared to independent multiples", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_vcbm14-.mp4", "type": "video/mp4", "size": 44770304, "path": "Publication:raidou_vcbm14", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vcbm14/raidou_vcbm14-.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vcbm14/raidou_vcbm14-:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vcbm14/raidou_vcbm14-:video.mp4" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410, 1446, 1459, 679, 459 ], "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine ", "lecturer": [ 171, 231, 951 ], "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_vcbm14-.mp4", "type": "video/mp4", "size": 44770304, "path": "Publication:raidou_vcbm14", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vcbm14/raidou_vcbm14-.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vcbm14/raidou_vcbm14-:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vcbm14/raidou_vcbm14-:video.mp4" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_vcbm14-paper.pdf", "type": "application/pdf", "size": 2017346, "path": "Publication:raidou_vcbm14", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vcbm14/raidou_vcbm14-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vcbm14/raidou_vcbm14-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vcbm14/", "__class": "Publication" }, { "id": "raidou_vis14", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Visual analytics for the exploration of multiparametric cancer imaging", "date": "2014", "abstract": "Tumor tissue characterization can play an important role in thediagnosis and design of effective treatment strategies. In orderto gather and combine the necessary tissue information, multi-modal imaging is used to derive a number of parameters indica-tive of tissue properties. The exploration and analysis of relation-ships between parameters and, especially, of differences among dis-tinct intra-tumor regions is particularly interesting for clinical re-searchers to individualize tumor treatment. However, due to highdata dimensionality and complexity, the current clinical workflowis time demanding and does not provide the necessary intra-tumorinsight. We implemented a new application for the exploration ofthe relationships between parameters and heterogeneity within tu-mors. In our approach, we employ a well-known dimensionalityreduction technique [5] to map the high-dimensional space of tis-sue properties into a 2D information space that can be interactivelyexplored with integrated information visualization techniques. Weconducted several usage scenarios with real-patient data, of whichwe present a case of advanced cervical cancer. First indicationsshow that our application introduces new features and functionali-ties that are not available within the current clinical approach.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1410, 1457, 1458, 679, 459 ], "journal": "In Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on Visualization", "research_areas": [ "InfoVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "raidou_vis14-paper.pdf", "type": "application/pdf", "size": 492922, "path": "Publication:raidou_vis14", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vis14/raidou_vis14-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vis14/raidou_vis14-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vis14/", "__class": "Publication" }, { "id": "Rautek_Peter_2014_VSA", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "ViSlang: A System for Interpreted Domain-Specific Languages for Scientific Visualization", "date": "2014", "abstract": "Researchers from many domains use scientific visualization in their daily practice. Existing implementations of algorithms usually come with a graphical user interface (high-level interface), or as software library or source code (low-level interface). In this paper we present a system that integrates domain-specific languages (DSLs) and facilitates the creation of new DSLs. DSLs provide an effective interface for domain scientists avoiding the difficulties involved with low-level interfaces and at the same time offering more flexibility than high-level interfaces. We describe the design and implementation of ViSlang, an interpreted language specifically\r\ntailored for scientific visualization. A major contribution of our design is the extensibility of the ViSlang language. Novel DSLs that are tailored to the problems of the domain can be created and integrated into ViSlang. We show that our approach can be added to\r\nexisting user interfaces to increase the flexibility for expert users on demand, but at the same time does not interfere with the user experience of novice users. To demonstrate the flexibility of our approach we present new DSLs for volume processing, querying and visualization. We report the implementation effort for new DSLs and compare our approach with Matlab and Python implementations in terms of run-time performance.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488, 161, 166, 226 ], "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "12", "pages_from": "2388", "pages_to": "2396", "volume": "20", "research_areas": [], "keywords": [ " Volume visualization framework ", " Volume visualization", "Domain-specific languages" ], "weblinks": [ { "href": "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6876040&queryText%3DViSlang%3A+A+System+for+Interpreted+Domain-Specific+Languages+for+Scientific+Visualization", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "", "filetitle": "Appendix A", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Rautek_Peter_2014_VSA-Appendix A.pdf", "type": "application/pdf", "size": 109880, "path": "Publication:Rautek_Peter_2014_VSA", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Appendix A.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Appendix A:thumb{{size}}.png" }, { "description": "", "filetitle": "Appendix B", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Rautek_Peter_2014_VSA-Appendix B.htm", "type": "text/html", "size": 18759, "path": "Publication:Rautek_Peter_2014_VSA", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Appendix B.htm", "thumb_image_sizes": [] }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Rautek_Peter_2014_VSA-Paper.pdf", "type": "application/pdf", "size": 8195263, "path": "Publication:Rautek_Peter_2014_VSA", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Paper:thumb{{size}}.png" }, { "description": "", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "Rautek_Peter_2014_VSA-Video.mp4", "type": "video/mp4", "size": 11612357, "path": "Publication:Rautek_Peter_2014_VSA", "preview_name": "Rautek_Peter_2014_VSA-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 24288, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/", "__class": "Publication" }, { "id": "WIMMER-2014-DWNT", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Do we need the full reconstruction pipeline?", "date": "2014", "abstract": "The traditional cultural heritage documentation pipeline from acquisition using a range scanner to interactive display to the user is a tedious and labor-intensive process. In particular, reconstructing high-quality meshes from large point clouds can be time consuming. In this talk, I will present shortcuts to this pipeline. The first idea is not to reconstruct a mesh at all, but keep the original point cloud as long as possible. I will discuss the challenges in maintaining interactivity and high quality when dealing with the display and manipulation of huge point clouds. The second idea is to reconstruct extremely simple models for regular and man-made structures, using shape analysis and user guidance. These models can be shown in end-user installations and require very few resources for display. ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193 ], "date_from": "2014-07-24", "date_to": "2014-07-24", "event": "EU-Korea Conference on Science and Technology", "location": "Vienna, Austria", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/WIMMER-2014-DWNT/", "__class": "Publication" }, { "id": "Zhu-2014-flowvis", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Flow Visualization with Stream Surfaces", "date": "2014", "abstract": "Stream Surfaces for Flow Visualization, implemented in C++ and OpenGL, based on the Hurricane dataset", "authors_et_al": false, "substitute": null, "main_image": { "description": "evenly-spaced streamlines", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 770, "image_height": 665, "name": "Zhu-2014-flowvis-teaser.png", "type": "image/png", "size": 1539352, "path": "Publication:Zhu-2014-flowvis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Zhu-2014-flowvis/Zhu-2014-flowvis-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Zhu-2014-flowvis/Zhu-2014-flowvis-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1171 ], "matrikelnr": "0348503", "supervisor": [ 166, 950 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "praktikum report", "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 879, "preview_image_height": 663, "name": "Zhu-2014-flowvis-report.pdf", "type": "application/pdf", "size": 527184, "path": "Publication:Zhu-2014-flowvis", "preview_name": "Zhu-2014-flowvis-report:preview.png", "preview_type": "image/png", "preview_size": 1751878, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Zhu-2014-flowvis/Zhu-2014-flowvis-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Zhu-2014-flowvis/Zhu-2014-flowvis-report:thumb{{size}}.png" }, { "description": "evenly-spaced streamlines", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 770, "image_height": 665, "name": "Zhu-2014-flowvis-teaser.png", "type": "image/png", "size": 1539352, "path": "Publication:Zhu-2014-flowvis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Zhu-2014-flowvis/Zhu-2014-flowvis-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Zhu-2014-flowvis/Zhu-2014-flowvis-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Zhu-2014-flowvis/", "__class": "Publication" }, { "id": "Groeller_2014_CaQ", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Comparative and Quantitative Visualization in Material Sciences", "date": "2014", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2014-09-22", "event": "Keynote talk at INFORMATIK 2014 Workshop Big Data Visual Computing - Quantitative Perspectives for Visual Computing", "location": "Stuttgart, Germany", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_CaQ/", "__class": "Publication" }, { "id": "Groeller_2014_CQV", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Comparative and Quantitative Visualization in Material Sciences", "date": "2014", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2014-06-02", "event": "Seminar 14231, Scientific Visualization, Dagstuhl", "location": "Germany", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_CQV/", "__class": "Publication" }, { "id": "Groeller_2014_CV", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Comparative Visualization", "date": "2014", "abstract": "Visualization uses computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity and variability has increased considerably. This is due to new data sources as well as the availability of uncertainty, error and tolerance information. Instead of individual objects entire sets, collections, and ensembles are visually investigated. This raises the need for effective comparative visualization approaches. Visual data science and computational sciences provide vast amounts of digital variations of a phenomenon which can be explored through superposition, juxtaposition and explicit difference encoding. A few examples of comparative approaches coming from the various areas of visualization, i.e., scientific visualization, information visualization and visual analytics will be treated in more detail. Comparison and visualization techniques are helpful to carry out parameter studies for the special application area of non-destructive testing using 3D X-ray computed tomography (3DCT). We discuss multi-image views and an edge explorer for comparing and visualizing gray value slices and edges of several datasets simultaneously. Visual steering supports decision making in the presence of alternative scenarios. Multiple, related simulation runs are explored through branching operations. To account for uncertain knowledge about the input parameters, visual reasoning employs entire parameter distributions. This can lead to an uncertainty-aware exploration of (continuous) parameter spaces. VAICo, i.e., Visual Analysis for Image Comparison, depicts differences and similarities in large sets of images. It preserves contextual information, but also allows the user a detailed analysis of subtle variations. The approach identifies local changes and applies cluster analysis techniques to embed them in a hierarchy. The results of this comparison process are then presented in an interactive web application which enables users to rapidly explore the space of differences and drill-down on particular features. Given the amplified data variability, comparative visualization techniques are likely to gain in importance in the future. Research challenges, directions, and issues concerning this innovative area are sketched at the end of the talk.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2014-03-04", "date_to": "2014-03-07", "event": "IEEE Pacific Visualization Symposium (PacificVis)2014", "location": "Yokohama, Japan", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Groeller_2014_CV-Slides.pdf", "type": "application/pdf", "size": 3734455, "path": "Publication:Groeller_2014_CV", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_CV/Groeller_2014_CV-Slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_CV/Groeller_2014_CV-Slides:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_CV/", "__class": "Publication" }, { "id": "Groeller_2014_STC", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Selected Topics in Comparative Visualization", "date": "2014", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2014-02-11", "event": "Science Meeting of Visual Computing Center", "location": "KAUST, Thuwal, Saudi Arabia", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_STC/", "__class": "Publication" }, { "id": "Groeller_2014_VND", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visualization for Non-Destructive Testing", "date": "2014", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166 ], "date_from": "2014-03-11", "event": "NII Shonan Meeting Seminar 046 (Computer Visualization – Concepts and Challenges)", "location": "Hayama Miura-gun, Kanagawa, Japan", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_VND/", "__class": "Publication" }, { "id": "Groeller_Eduard_2014_THS", "type_id": "inbook", "tu_id": 234826, "repositum_id": null, "title": "The Haunted Swamps of Heuristics: Uncertainty in Problem Solving", "date": "2014", "abstract": "In scientific visualization the key task of research is the provision of insight into a problem. Finding the solution to a problem may be seen as finding a path through some rugged terrain which contains mountains, chasms, swamps, and few flatlands. This path—an algorithm discovered by the researcher—helps users to easily move around this unknown area. If this way is a wide road paved with stones it will be used for a long time by many travelers. However, a narrow footpath leading through deep forests and deadly swamps will attract only a few adventure seekers. There are many different paths with different levels of comfort, length, and stability, which are uncertain during the research process. Finding a systematic way to deal with this uncertainty can greatly assist the search for a safe path which is in our case the development of a suitable visualization algorithm for a specific problem. In this work we will analyze the sources of uncertainty in heuristically solving visualization problems and will propose directions to handle these uncertainties.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1459, "image_height": 1100, "name": "Groeller_Eduard_2014_THS-.jpg", "type": "image/jpeg", "size": 142333, "path": "Publication:Groeller_Eduard_2014_THS", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_THS/Groeller_Eduard_2014_THS-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_THS/Groeller_Eduard_2014_THS-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 817, 161, 611, 166 ], "booktitle": "Scientific Visualization", "chapter": "Uncertainty, Multifield, Biomedical, and Scalable Visualization", "editor": "Charles D. Hansen, Min Chen, Christopher R. Johnson, Arie E. Kaufman, Hans Hagen", "isbn": "978-1-4471-6496-8", "note": "Chapter 5", "pages_from": "51", "pages_to": "60", "publisher": "Springer London", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1459, "image_height": 1100, "name": "Groeller_Eduard_2014_THS-.jpg", "type": "image/jpeg", "size": 142333, "path": "Publication:Groeller_Eduard_2014_THS", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_THS/Groeller_Eduard_2014_THS-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_THS/Groeller_Eduard_2014_THS-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_THS/", "__class": "Publication" }, { "id": "Auzinger_2014_DCGI", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Analytic Rasterization", "date": "2014", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 808 ], "date_from": "2014-04-30", "date_to": "2014-04-30", "event": "Invited Talk at Czech Technical University in Prague", "location": "Czech Technical University in Prague, Department of Computer Graphics and Interaction, Prague", "research_areas": [ "Rendering" ], "keywords": [ "antialiasing", "analytic", "prefiltering" ], "weblinks": [], "files": [], "projects_workgroups": [ "Mofa" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Auzinger_2014_DCGI/", "__class": "Publication" }, { "id": "Auzinger_2014_UJA", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "GPGPU in Graphics and Visualization", "date": "2014", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 808 ], "date_from": "2014-10-15", "date_to": "2014-10-15", "event": "Invited Talk at Universidad de Jaén in Spain", "location": "Universidad de Jaén, Spain", "research_areas": [ "Rendering" ], "keywords": [ "GPGPU", "medical", "visualization", "antialiasing" ], "weblinks": [], "files": [], "projects_workgroups": [ "Mofa" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Auzinger_2014_UJA/", "__class": "Publication" }, { "id": "BEHAM-2014-RCR", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "CloudyDay: Rendering of clouds, atmosphere and light shafts in HDR for testing Computer Vision Algorithms", "date": "2014", "abstract": "Rendering of clouds, atmosphere, and other natural phenomenon is an important topic in computer graphics. In this technical report, we present a novel solution, which uses different techniques to generate a realistic representation of the sky. We present a billboard-based approach to create clouds. We use half-angle slicing to generate volumetric shadows. The resulting shadow map is then used for casting shadows on the terrain, the clouds, and other objects. We also use and compare different atmosphere models and providing light shafts. Furthermore, CloudyDay provides HDR mapping, a bloom effect, colour grading as well as some natural phenomenon like rain.\r\nWe develop CloudyDay to test an autonomous flying robot. We present several enhancements, which consider the specific requirements of this specific application area. All objects can be created by an artist. This is great workflow, if a specific test-case should be created. However, creating a lot of different variations of an object is a time-consuming task. A more reasonable way is to create the shapes with procedural modelling. This technique enables to create objects (in this paper clouds, atmosphere,...) and vary the representation by varying the parameters. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 796, "image_height": 461, "name": "BEHAM-2014-RCR-.jpg", "type": "image/jpeg", "size": 30423, "path": "Publication:BEHAM-2014-RCR", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/BEHAM-2014-RCR/BEHAM-2014-RCR-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/BEHAM-2014-RCR/BEHAM-2014-RCR-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 816 ], "date_start": "2012-10-09", "matrikelnr": "0726417", "supervisor": [ 193 ], "research_areas": [], "keywords": [ "real-time rendering", "cloud rendering" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 796, "image_height": 461, "name": "BEHAM-2014-RCR-.jpg", "type": "image/jpeg", "size": 30423, "path": "Publication:BEHAM-2014-RCR", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/BEHAM-2014-RCR/BEHAM-2014-RCR-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/BEHAM-2014-RCR/BEHAM-2014-RCR-:thumb{{size}}.png" }, { "description": "", "filetitle": "code", "main_file": false, "use_in_gallery": false, "access": "public", "name": "BEHAM-2014-RCR-code.zip", "type": "application/zip", "size": 302354646, "path": "Publication:BEHAM-2014-RCR", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/BEHAM-2014-RCR/BEHAM-2014-RCR-code.zip", "thumb_image_sizes": [] }, { "description": "", "filetitle": "report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "BEHAM-2014-RCR-report.pdf", "type": "application/pdf", "size": 7099790, "path": "Publication:BEHAM-2014-RCR", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/BEHAM-2014-RCR/BEHAM-2014-RCR-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/BEHAM-2014-RCR/BEHAM-2014-RCR-report:thumb{{size}}.png" }, { "description": "", "filetitle": "userguide", "main_file": false, "use_in_gallery": false, "access": "public", "name": "BEHAM-2014-RCR-userguide.pdf", "type": "application/pdf", "size": 2068824, "path": "Publication:BEHAM-2014-RCR", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/BEHAM-2014-RCR/BEHAM-2014-RCR-userguide.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/BEHAM-2014-RCR/BEHAM-2014-RCR-userguide:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/BEHAM-2014-RCR/", "__class": "Publication" }, { "id": "boesch_2014_browserHistoryVis", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "The Chaser: Chrome Extension for History Visualization", "date": "2014", "abstract": "Revisitation of previously requested URLs happens frequently and the most common list-view-based visualization of the user’s browsing history provided by nearly every internet browser cannot give a compact general view. For this reason we designed and implemented an extension for Chrome called The Chaser, by which an alternative visualization of the content is possible. The currently available add-ons / extensions have other aims to illustrate the history. Some of them are about to show the differences in quantity of called pages. Others give an overview of page paths and the user’s tracks from site to site. Our extension concentrates on helping finding a visited page and giving users a better overview of their called URLs. The user should get the ability to control the time-line with mouse gestures and/or keyboard input. After discarding a 3D prototype we came to the conclusion of designing a simple, self-explanatory time-based illustration with two dimensions. The x-axis represents the time with different levels of detail and the y-axis the visited hosts. After performing an evaluation with six probands where The Chaser’s visualization and its efficiency was compared to the standard list-view, all of them would prefer our extension against the standard history view.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 500, "image_height": 369, "name": "boesch_2014_browserHistoryVis-.png", "type": "image/png", "size": 284156, "path": "Publication:boesch_2014_browserHistoryVis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/boesch_2014_browserHistoryVis/boesch_2014_browserHistoryVis-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/boesch_2014_browserHistoryVis/boesch_2014_browserHistoryVis-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1174 ], "date_end": "2014-08", "date_start": "2014-01", "matrikelnr": "1025952", "supervisor": [ 1110 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 500, "image_height": 369, "name": "boesch_2014_browserHistoryVis-.png", "type": "image/png", "size": 284156, "path": "Publication:boesch_2014_browserHistoryVis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/boesch_2014_browserHistoryVis/boesch_2014_browserHistoryVis-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/boesch_2014_browserHistoryVis/boesch_2014_browserHistoryVis-:thumb{{size}}.png" }, { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "boesch_2014_browserHistoryVis-thesis.pdf", "type": "application/pdf", "size": 26739277, "path": "Publication:boesch_2014_browserHistoryVis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/boesch_2014_browserHistoryVis/boesch_2014_browserHistoryVis-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/boesch_2014_browserHistoryVis/boesch_2014_browserHistoryVis-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/boesch_2014_browserHistoryVis/", "__class": "Publication" }, { "id": "fmistelbauer-2014-ad", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "ActiveDICOM", "date": "2014", "abstract": "Digital Imaging and Communication in Medicine (DICOM) is a well-established image standard in medical imaging covering patient related information to network transfer protocols for medical workstations. As most DICOM images exhibit a rather static nature and visualization and computer graphics tend towards more interactive exploration of data, we try to enhance static images with interaction. For this purpose we will provide a mapping language that transfers an interaction to a specific visualization. All the necessary information will be encoded in the images and decoded by a provided viewer application for medical personnel.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "fmistelbauer-2014-ad-.pdf", "type": "application/pdf", "size": 6900825, "path": "Publication:fmistelbauer-2014-ad", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-ad/fmistelbauer-2014-ad-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-ad/fmistelbauer-2014-ad-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1234 ], "date_end": "2017-02", "date_start": "2014-03", "matrikelnr": "0226239", "supervisor": [ 869, 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "fmistelbauer-2014-ad-.pdf", "type": "application/pdf", "size": 6900825, "path": "Publication:fmistelbauer-2014-ad", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-ad/fmistelbauer-2014-ad-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-ad/fmistelbauer-2014-ad-:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-ad/", "__class": "Publication" }, { "id": "schmid_andreas_2013-prj", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Physics-based Music Visualization", "date": "2013-12-01", "abstract": "The aim of our bachelor thesis was to develop a concept on the basic structure of software that\nvisualizes human emotions when listening to music into graphic primitives. Our prototype of\nthis visual media player allows the user to read data from a music file and map this data into a\nfile that converts it to special forms, colors and transformations.\nThis goal was accomplished with special commands and a modifiable theme. With these tools,\nthe user can completely control the visualization. The commands describe the options of what\ncan be accomplished with the software. In our case, they create primitive forms, move them,\nand change their color. The theme shows what the program is able to display. Two examples of\nthis prototype are the textual theme and the graphical theme.\nIn the first user study, the users were asked to listen to short music files or watch some short\nanimations and to evaluate those. This data was then transferred to a mapping file and taken\nas basis for a second user study. In the second user study, the users had to evaluate five media\nplayers, including ours, using two different mappings - one was their visualization and the other\nan evaluation on if music and visualization match. The results were not as expected - the users\nevaluated the existing media players better than our prototype in visualization-music mapping.\nWe are analyzing the results and working on redesigning our algorithms in order to have a more\nsuccessful prototype.\nIn this bachelor thesis, there is also an analysis of the libraries used. The prototype can be used\nas a basis for future work in this field.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 841, "image_height": 476, "name": "schmid_andreas_2013-prj-image.jpg", "type": "image/jpeg", "size": 25132, "path": "Publication:schmid_andreas_2013-prj", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schmid_andreas_2013-prj/schmid_andreas_2013-prj-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schmid_andreas_2013-prj/schmid_andreas_2013-prj-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1042 ], "date_end": "2013-12-20", "date_start": "2012-10-15", "matrikelnr": "0725136", "supervisor": [ 193, 948 ], "research_areas": [], "keywords": [ "sound", "visualization", "physics-based" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 841, "image_height": 476, "name": "schmid_andreas_2013-prj-image.jpg", "type": "image/jpeg", "size": 25132, "path": "Publication:schmid_andreas_2013-prj", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schmid_andreas_2013-prj/schmid_andreas_2013-prj-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schmid_andreas_2013-prj/schmid_andreas_2013-prj-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "schmid_andreas_2013-prj-thesis.pdf", "type": "application/pdf", "size": 584419, "path": "Publication:schmid_andreas_2013-prj", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schmid_andreas_2013-prj/schmid_andreas_2013-prj-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schmid_andreas_2013-prj/schmid_andreas_2013-prj-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schmid_andreas_2013-prj/", "__class": "Publication" }, { "id": "giefing_juergen-2013-ba", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Physics-based Music Visualization", "date": "2013-12-01", "abstract": "Historically, there have been a number of approaches to analyze and explain the relationship\nbetween music and visual elements, particularly colors. Arnheim [1] has done important work\nin that context, as well as Palmer and Schloss [10] [16] [14] [13]. Palmer has shown in his ex-\nperiments, that music and color are coupled through emotion, like Arnheim had assumed before.\nThe goal of this thesis was to investigate this connection more in detail by considering also other\nvisual parameters like motion, shape or size and to implement a prototype of a visualization\napplication based on the insights gathered during our user studies. This application should be\nable to visualize music based on a flexible mapping and psychological knowledge. During the\nfirst part of our user studies, test persons were asked to rate parts of songs as well as animations\nwithout sound independent from each other but using the same rating scales. The results show\nstrong correlations between single attributes and the perception of the test persons. During the\nsecond part of the user studies, the test persons were asked to rate the accordance between the\nsongs from the first round and the visualizations created based on the results of the first round.\nOur assumptions could not be confirmed in that experiment. We try to determine the reasons,\nwhy the results of the second round were not as expected and what steps could be taken to refine\nour approach and implement it in a successful manner.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 615, "image_height": 474, "name": "giefing_juergen-2013-ba-image.png", "type": "image/png", "size": 25719, "path": "Publication:giefing_juergen-2013-ba", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/giefing_juergen-2013-ba/giefing_juergen-2013-ba-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/giefing_juergen-2013-ba/giefing_juergen-2013-ba-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1043 ], "date_end": "2013-12-20", "date_start": "2012-10-15", "matrikelnr": "9805067", "supervisor": [ 948 ], "research_areas": [], "keywords": [ "music", "visualization", "emotions" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 615, "image_height": 474, "name": "giefing_juergen-2013-ba-image.png", "type": "image/png", "size": 25719, "path": "Publication:giefing_juergen-2013-ba", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/giefing_juergen-2013-ba/giefing_juergen-2013-ba-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/giefing_juergen-2013-ba/giefing_juergen-2013-ba-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "giefing_juergen-2013-ba-thesis.pdf", "type": "application/pdf", "size": 425654, "path": "Publication:giefing_juergen-2013-ba", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/giefing_juergen-2013-ba/giefing_juergen-2013-ba-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/giefing_juergen-2013-ba/giefing_juergen-2013-ba-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/giefing_juergen-2013-ba/", "__class": "Publication" }, { "id": "hauer_alex-2013-ba", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Physics-based Music Visualization", "date": "2013-12", "abstract": "The aim of this bachelor’s thesis is to point out ways on how to extract distinct bits of information\nout of a song and how to combine them to create single parameters that reflect the currently\ntransported emotion of the song.\nIt presents approaches on how to extract certain information and data from MIDI and audio\nfiles that can then be used to create a more physics-based and naturally feeling visualization than\nthe one that gets shipped with today’s common music player software, with a strong focus on\nMIDI.\nFor example, the currently used scale should have an impact on the visualization’s color,\nas well as the current tempo, dynamic or aggressivity. Representing these attributes as input\nparameters that can be used by a visualization application should ultimately result in a better\nvisualization experience for the viewer, because it creates a feeling that the things seen on screen\nmatch with the music currently playing.\nBesides defining such input parameters for visualizations, this paper also provides a short\nevaluation of music feature extraction libraries and frameworks that help in reaching the men-\ntioned goal, as well as a few concrete implementations of algorithms that can be used to extract\nsuch features based on the jMusic API framework.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1044 ], "date_end": "2013-12-20", "date_start": "2012-10-15", "matrikelnr": "0725136", "supervisor": [ 948 ], "research_areas": [], "keywords": [ "feature extraction", "music", "visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 777, "image_height": 529, "name": "hauer_alex-2013-ba-image.jpg", "type": "image/jpeg", "size": 30329, "path": "Publication:hauer_alex-2013-ba", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/hauer_alex-2013-ba/hauer_alex-2013-ba-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/hauer_alex-2013-ba/hauer_alex-2013-ba-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "hauer_alex-2013-ba-thesis.pdf", "type": "application/pdf", "size": 570296, "path": "Publication:hauer_alex-2013-ba", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/hauer_alex-2013-ba/hauer_alex-2013-ba-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/hauer_alex-2013-ba/hauer_alex-2013-ba-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/hauer_alex-2013-ba/", "__class": "Publication" }, { "id": "Auzinger_Mistelbauer_2013_CSR", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Vessel Visualization using Curved Surface Reformation", "date": "2013-12", "abstract": "Visualizations of vascular structures are frequently used in radiological investigations to detect and analyze vascular diseases. Obstructions of the blood flow through a vessel are one of the main interests of physicians, and several methods have been proposed to aid the visual assessment of calcifications on vessel walls. Curved Planar Reformation (CPR) is a wide-spread method that is designed for peripheral arteries which exhibit one dominant direction. To analyze the lumen of arbitrarily oriented vessels, Centerline Reformation (CR) has been proposed. Both methods project the vascular structures into 2D image space in order to reconstruct the vessel lumen. In this paper, we propose Curved Surface Reformation (CSR), a technique that computes the vessel lumen fully in 3D. This offers high-quality interactive visualizations of vessel lumina and does not suffer from problems of earlier methods such as ambiguous visibility cues or premature discretization of centerline data. Our method maintains exact visibility information until the final query of the 3D lumina data. We also present feedback from several domain experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1111, "image_height": 1112, "name": "Auzinger_Mistelbauer_2013_CSR-Image.png", "type": "image/png", "size": 611903, "path": "Publication:Auzinger_Mistelbauer_2013_CSR", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 808, 869, 1049, 1047, 169, 193, 166, 161 ], "date_from": "2013-10-13", "date_to": "2013-10-18", "event": "IEEE Scientific Visualization 2013", "journal": "IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE Scientific Visualization 2013)", "lecturer": [ 808, 869 ], "location": "Atlanta, Georgia, USA", "number": "12", "pages_from": "2858", "pages_to": "2867", "volume": "19", "research_areas": [ "MedVis" ], "keywords": [ "Surface Approximation", "Vessel", "Reformation", "Volume Rendering" ], "weblinks": [], "files": [ { "description": "Visualization of our cost function for a synthetic trefoil knot vessel. For a viewer located above the know, the value of the cost function on the cut surface is depicted by the depth.", "filetitle": "Cost function", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 1200, "name": "Auzinger_Mistelbauer_2013_CSR-Cost function.png", "type": "image/png", "size": 236952, "path": "Publication:Auzinger_Mistelbauer_2013_CSR", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Cost function.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Cost function:thumb{{size}}.png" }, { "description": "CSR applied to various medical data sets (high quality - 74 MB - DivX codec).", "filetitle": "demo-video_high-quality", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 175, "preview_image_height": 109, "name": "Auzinger_Mistelbauer_2013_CSR-demo-video_high-quality.avi", "type": "video/x-msvideo", "size": 77161386, "path": "Publication:Auzinger_Mistelbauer_2013_CSR", "preview_name": "Auzinger_Mistelbauer_2013_CSR-demo-video_high-quality:preview.png", "preview_type": "image/jpeg", "preview_size": 2055, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-demo-video_high-quality.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-demo-video_high-quality:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-demo-video_high-quality:video.mp4" }, { "description": "CSR applied to various medical data sets (low quality - 19 MB - DivX codec).", "filetitle": "demo-video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 175, "preview_image_height": 109, "name": "Auzinger_Mistelbauer_2013_CSR-demo-video.avi", "type": "video/x-msvideo", "size": 19553290, "path": "Publication:Auzinger_Mistelbauer_2013_CSR", "preview_name": "Auzinger_Mistelbauer_2013_CSR-demo-video:preview.png", "preview_type": "image/jpeg", "preview_size": 2055, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-demo-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-demo-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-demo-video:video.mp4" }, { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1111, "image_height": 1112, "name": "Auzinger_Mistelbauer_2013_CSR-Image.png", "type": "image/png", "size": 611903, "path": "Publication:Auzinger_Mistelbauer_2013_CSR", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Image:thumb{{size}}.png" }, { "description": "Full paper preprint.", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 198, "preview_image_height": 256, "name": "Auzinger_Mistelbauer_2013_CSR-Paper.pdf", "type": "application/pdf", "size": 14364258, "path": "Publication:Auzinger_Mistelbauer_2013_CSR", "preview_name": "Auzinger_Mistelbauer_2013_CSR-Paper:preview.png", "preview_type": "image/png", "preview_size": 61094, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Paper:thumb{{size}}.png" }, { "description": "The questionnaire, which was used for our evaluation.", "filetitle": "Questionnaire", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 181, "preview_image_height": 256, "name": "Auzinger_Mistelbauer_2013_CSR-Questionnaire.pdf", "type": "application/pdf", "size": 13937494, "path": "Publication:Auzinger_Mistelbauer_2013_CSR", "preview_name": "Auzinger_Mistelbauer_2013_CSR-Questionnaire:preview.png", "preview_type": "image/png", "preview_size": 32308, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Questionnaire.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Questionnaire:thumb{{size}}.png" }, { "description": "CSR applied to a medical volume data set of the bifurcation of the human abdominal aorta.", "filetitle": "Result image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1111, "image_height": 1112, "name": "Auzinger_Mistelbauer_2013_CSR-Result image.png", "type": "image/png", "size": 611903, "path": "Publication:Auzinger_Mistelbauer_2013_CSR", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Result image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Result image:thumb{{size}}.png" }, { "description": "The teaser image shows an application of our method to a medical volume data set of the bifurcation of the human abdominal aorta. A 3D direct volume rendering with the surface of the vessel tree is shown on the left. The right three images depict CSR for different view directions.", "filetitle": "Teaser image", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 1852, "preview_image_height": 545, "name": "Auzinger_Mistelbauer_2013_CSR-Teaser image.pdf", "type": "application/pdf", "size": 3026131, "path": "Publication:Auzinger_Mistelbauer_2013_CSR", "preview_name": "Auzinger_Mistelbauer_2013_CSR-Teaser image:preview.png", "preview_type": "image/png", "preview_size": 941957, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Teaser image.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Teaser image:thumb{{size}}.png" } ], "projects_workgroups": [ "AngioVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/", "__class": "Publication" }, { "id": "Calatrava_2013_GPGPUSOA", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "General-Purpose Graphics Processing Units in Service-Oriented Architectures", "date": "2013-12", "abstract": "Over the last decades, graphics processing units have developed from special-purpose graphics accelerators to general-purpose massively parallel co-processors. In recent years they gained increased traction in high performance computing as they provide superior computational performance in terms of runtime and energy consumption for a wide range of problems. In this survey, we review their employment in distributed computing for a broad range of application scenarios. Common characteristics and a classification of the most relevant use cases are described. Furthermore, we discuss possible future developments of the use of general purpose graphics processing units in the area of service-oriented architecture. The aim of this work is to inspire future research in this field and to give guidelines on when and how to incorporate this new hardware technology.", "authors_et_al": false, "substitute": null, "main_image": { "description": "teaser", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 4371, "image_height": 1394, "preview_image_width": 256, "preview_image_height": 82, "name": "Calatrava_2013_GPGPUSOA-teaser.png", "type": "image/png", "size": 83141, "path": "Publication:Calatrava_2013_GPGPUSOA", "preview_name": "Calatrava_2013_GPGPUSOA-teaser:preview.png", "preview_type": "image/png", "preview_size": 20252, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1126, 808 ], "booktitle": "Proceedings of the 6th IEEE International Conference on Service Oriented Computing and Applications", "date_from": "2013-12-16", "date_to": "2013-12-18", "isbn": "978-1-4799-2701-2", "lecturer": [ 1126, 808 ], "location": "Kauai", "organization": "IEEE Computer Society", "publisher": "IEEE Computer Society", "series": "SOCA ", "research_areas": [], "keywords": [ "GPGPU", "SOA", "parallel", "graphics processors", "GPU", "service-oriented architectures", "throughput computing", "survey", "future" ], "weblinks": [], "files": [ { "description": "An overview of the most relevant features of the hardware architecture of recent graphics processing units.", "filetitle": "GPU Architecture", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4371, "image_height": 1394, "preview_image_width": 256, "preview_image_height": 82, "name": "Calatrava_2013_GPGPUSOA-GPU Architecture.png", "type": "image/png", "size": 83141, "path": "Publication:Calatrava_2013_GPGPUSOA", "preview_name": "Calatrava_2013_GPGPUSOA-GPU Architecture:preview.png", "preview_type": "image/png", "preview_size": 20252, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-GPU Architecture.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-GPU Architecture:thumb{{size}}.png" }, { "description": "Full paper preprint.", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 198, "preview_image_height": 256, "name": "Calatrava_2013_GPGPUSOA-paper.pdf", "type": "application/pdf", "size": 1158208, "path": "Publication:Calatrava_2013_GPGPUSOA", "preview_name": "Calatrava_2013_GPGPUSOA-paper:preview.png", "preview_type": "image/png", "preview_size": 57545, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-paper:thumb{{size}}.png" }, { "description": "teaser", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 4371, "image_height": 1394, "preview_image_width": 256, "preview_image_height": 82, "name": "Calatrava_2013_GPGPUSOA-teaser.png", "type": "image/png", "size": 83141, "path": "Publication:Calatrava_2013_GPGPUSOA", "preview_name": "Calatrava_2013_GPGPUSOA-teaser:preview.png", "preview_type": "image/png", "preview_size": 20252, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/", "__class": "Publication" }, { "id": "ohrhallinger_stefan-2013-c2d", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "An Efficient Algorithm for Determining an Aesthetic Shape Connecting Unorganised 2D Points", "date": "2013-12", "abstract": "We present an efficient algorithm for determining an aesthetically pleasing shape boundary connecting all the points in a given unorganised set of 2D points, with no other information than point coordinates. By posing shape construction as a minimisation problem which follows the Gestalt laws, our desired shape Bmin is non-intersecting, interpolates all points and minimises a criterion related to these laws. The basis for our algorithm is an initial graph, an extension of the Euclidean minimum spanning tree but with no leaf nodes, called as the minimum boundary complex BCmin. BCmin and Bmin can be expressed similarly by parametrising a topological constraint. A close approximation of BCmin, termed BC0 can be computed fast using a greedy algorithm. BC0 is then transformed into a closed interpolating boundary Bout in two steps to satisfy Bmin’s topological and minimization requirements. Computing Bmin exactly is an NP-hard problem, whereas Bout is computed in linearithmic time. We present many examples showing considerable improvement over previous techniques, especially for shapes with sharp corners. Source code is available online.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1300, "image_height": 446, "name": "ohrhallinger_stefan-2013-c2d-image.png", "type": "image/png", "size": 10331, "path": "Publication:ohrhallinger_stefan-2013-c2d", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/ohrhallinger_stefan-2013-c2d-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/ohrhallinger_stefan-2013-c2d-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948, 1024 ], "date_from": "2013-06-19", "date_to": "2013-06-21", "event": "Eurographics Symposium on Rendering 2013", "journal": "Computer Graphics Forum", "lecturer": [ 948 ], "location": "Zaragpza, Spain", "number": "8", "pages_from": "72", "pages_to": "88", "volume": "32", "research_areas": [ "Geometry" ], "keywords": [ "curve reconstruction", "boundary representation", "sampling condition", "computational geometry" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12162/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1300, "image_height": 446, "name": "ohrhallinger_stefan-2013-c2d-image.png", "type": "image/png", "size": 10331, "path": "Publication:ohrhallinger_stefan-2013-c2d", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/ohrhallinger_stefan-2013-c2d-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/ohrhallinger_stefan-2013-c2d-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger_stefan-2013-c2d-paper.pdf", "type": "application/pdf", "size": 817121, "path": "Publication:ohrhallinger_stefan-2013-c2d", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/ohrhallinger_stefan-2013-c2d-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/ohrhallinger_stefan-2013-c2d-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "slides-ODP", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger_stefan-2013-c2d-slides-ODP.odp", "type": "application/octet-stream", "size": 5882829, "path": "Publication:ohrhallinger_stefan-2013-c2d", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/ohrhallinger_stefan-2013-c2d-slides-ODP.odp", "thumb_image_sizes": [] }, { "description": null, "filetitle": "slides-PDF", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger_stefan-2013-c2d-slides-PDF.pdf", "type": "application/pdf", "size": 2308259, "path": "Publication:ohrhallinger_stefan-2013-c2d", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/ohrhallinger_stefan-2013-c2d-slides-PDF.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/ohrhallinger_stefan-2013-c2d-slides-PDF:thumb{{size}}.png" }, { "description": null, "filetitle": "source code", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger_stefan-2013-c2d-source code.html", "type": "text/plain", "size": 95, "path": "Publication:ohrhallinger_stefan-2013-c2d", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/ohrhallinger_stefan-2013-c2d-source code.html", "thumb_image_sizes": [] } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/", "__class": "Publication" }, { "id": "reh-2013", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "MObjects - A Novel Method for the Visualization and Interactive Exploration of Defects in Industrial XCT Data", "date": "2013-12", "abstract": "This paper describes an advanced visualization method for the analysis of defects in industrial 3D X-Ray Computed Tomography (XCT) data. We present a novel way to explore a high number of individual objects in a dataset, e.g., pores, inclusions, particles, fibers, and cracks demonstrated on the special application area of pore extraction in carbon fiber reinforced polymers (CFRP). After calculating the individual object properties volume, dimensions and shape factors, all objects are clustered into a mean object (MObject). The resulting MObject parameter space can be explored interactively. To do so, we introduce the visualization of mean object sets (MObject Sets) in a radial and a parallel arrangement. Each MObject may be split up into sub-classes by selecting a specific property, e.g., volume or shape factor, and the desired number of classes. Applying this interactive selection iteratively leads to the intended classifications and visualizations of MObjects along the selected analysis path. Hereby the given different scaling factors of the MObjects down the analysis path are visualized through a visual linking approach. Furthermore the representative MObjects are exported as volumetric datasets to serve as input for successive calculations and simulations. In the field of porosity determination in CFRP non-destructive testing practitioners use representative MObjects to improve ultrasonic calibration curves. Representative pores also serve as input for heat conduction simulations in active thermography. For a fast overview of the pore properties in a dataset we propose a local MObjects visualization in combination with a color-coded homogeneity visualization of cells. The advantages of our novel approach are demonstrated using real world CFRP specimens. The results were evaluated through a questionnaire in order to determine the practicality of the MObjects visualization as a supportive tool for domain specialists.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1444, "image_height": 810, "name": "reh-2013-.jpg", "type": "image/jpeg", "size": 410157, "path": "Publication:reh-2013", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1054, 1166, 613, 166, 611 ], "date_from": "2013-10-13", "date_to": "2013-10-18", "event": "IEEE Scientific Visualization 2013", "journal": "IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE Scientific Visualization 2013)", "lecturer": [ 1054 ], "location": "Atlanta, Georgia, USA", "number": "12", "pages_from": "2906", "pages_to": "2915", "volume": "19", "research_areas": [ "VisMat" ], "keywords": [ "porosity", "carbon fiber reinforced polymers", "parameter space analysis", "MObjects", "3D X-ray computed tomography" ], "weblinks": [ { "href": "http://www.computer.org/csdl/trans/tg/2013/12/ttg2013122906-abs.html", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": " paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1444, "preview_image_height": 810, "name": "reh-2013- paper.pdf", "type": "application/pdf", "size": 5699027, "path": "Publication:reh-2013", "preview_name": "reh-2013- paper:preview.png", "preview_type": "image/jpeg", "preview_size": 410157, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013- paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013- paper:thumb{{size}}.png" }, { "description": null, "filetitle": " video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1024, "preview_image_height": 768, "name": "reh-2013- video.avi", "type": "video/x-msvideo", "size": 12766740, "path": "Publication:reh-2013", "preview_name": "reh-2013- video:preview.png", "preview_type": "image/jpeg", "preview_size": 25845, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013- video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013- video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013- video:video.mp4" }, { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1444, "image_height": 810, "name": "reh-2013-.jpg", "type": "image/jpeg", "size": 410157, "path": "Publication:reh-2013", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013-:thumb{{size}}.png" }, { "description": null, "filetitle": "evaluation questionnaire", "main_file": true, "use_in_gallery": false, "access": "public", "name": "reh-2013-evaluation questionnaire.pdf", "type": "application/pdf", "size": 1489502, "path": "Publication:reh-2013", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013-evaluation questionnaire.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013-evaluation questionnaire:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/", "__class": "Publication" }, { "id": "kehrer-2013-SBC", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "A Model for Structure-based Comparison of Many Categories in Small-Multiple Displays", "date": "2013-12", "abstract": "Many application domains deal with multi-variate data that consists of both categorical and numerical information. Small-multiple\ndisplays are a powerful concept for comparing such data by juxtaposition. For comparison by overlay or by explicit encoding\nof computed differences, however, a specification of references is necessary. In this paper, we present a formal model for defining\nsemantically meaningful comparisons between many categories in a small-multiple display. Based on pivotized data that are hierarchically\npartitioned by the categories assigned to the x and y axis of the display, we propose two alternatives for structure-based\ncomparison within this hierarchy. With an absolute reference specification, categories are compared to a fixed reference category.\nWith a relative reference specification, in contrast, a semantic ordering of the categories is considered when comparing them either to\nthe previous or subsequent category each. Both reference specifications can be defined at multiple levels of the hierarchy (including\naggregated summaries), enabling a multitude of useful comparisons. We demonstrate the general applicability of our model in several\napplication examples using different visualizations that compare data by overlay or explicit encoding of differences.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 759, "image_height": 903, "name": "kehrer-2013-SBC-image.jpg", "type": "image/jpeg", "size": 208520, "path": "Publication:kehrer-2013-SBC", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 983, 451, 961, 166 ], "date_from": "2013-10-13", "date_to": "2013-10-18", "event": "IEEE Information Visualization Conference", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 983 ], "location": "Atlanta, Georgia, USA", "number": "12", "pages_from": "2287", "pages_to": "2296", "volume": "19", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2013.122", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "curve", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 718, "image_height": 723, "name": "kehrer-2013-SBC-curve.jpg", "type": "image/jpeg", "size": 151440, "path": "Publication:kehrer-2013-SBC", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-curve.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-curve:thumb{{size}}.png" }, { "description": null, "filetitle": "Draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kehrer-2013-SBC-Draft.pdf", "type": "application/pdf", "size": 3534876, "path": "Publication:kehrer-2013-SBC", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-Draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-Draft:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 759, "image_height": 903, "name": "kehrer-2013-SBC-image.jpg", "type": "image/jpeg", "size": 208520, "path": "Publication:kehrer-2013-SBC", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-image:thumb{{size}}.png" }, { "description": null, "filetitle": "parameters", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 720, "image_height": 603, "name": "kehrer-2013-SBC-parameters.jpg", "type": "image/jpeg", "size": 139132, "path": "Publication:kehrer-2013-SBC", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-parameters.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-parameters:thumb{{size}}.png" }, { "description": null, "filetitle": "scatterplots", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 720, "image_height": 674, "name": "kehrer-2013-SBC-scatterplots.jpg", "type": "image/jpeg", "size": 118024, "path": "Publication:kehrer-2013-SBC", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-scatterplots.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-scatterplots:thumb{{size}}.png" }, { "description": null, "filetitle": "ship", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1400, "image_height": 287, "name": "kehrer-2013-SBC-ship.jpg", "type": "image/jpeg", "size": 182548, "path": "Publication:kehrer-2013-SBC", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-ship.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-ship:thumb{{size}}.png" }, { "description": null, "filetitle": "Slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kehrer-2013-SBC-Slides.pdf", "type": "application/pdf", "size": 1863926, "path": "Publication:kehrer-2013-SBC", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-Slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-Slides:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/", "__class": "Publication" }, { "id": "knecht_2013_RSM", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Reciprocal Shading for Mixed Reality", "date": "2013-12", "abstract": "Reciprocal shading for mixed reality aims to integrate virtual objects into real environments in a way that they are in the ideal case indistinguishable from real objects. It is therefore an attractive technology for architectural visualizations, product visualizations and for cultural heritage sites, where virtual objects should be seamlessly merged with real ones. Due to the improved performance of recent graphics hardware, real-time global illumination algorithms are feasible for mixed-reality applications, and thus more and more researchers address realistic rendering for mixed reality.\n\nThe goal of this thesis is to provide algorithms which improve the visual plausibility of virtual objects in mixed-reality applications. Our contributions are as follows:\n\nFirst, we present five methods to reconstruct the real surrounding environment. In particular,\nwe present two methods for geometry reconstruction, a method for material estimation at interactive frame rates and two methods to reconstruct the color mapping characteristics of the video see-through camera.\n\nSecond, we present two methods to improve the visual appearance of virtual objects. The first, called differential instant radiosity, combines differential rendering with a global illumination method called instant radiosity to simulate reciprocal shading effects such as shadowing and indirect illumination between real and virtual objects. The second method focuses on the visual\nplausible rendering of reflective and refractive objects. The high-frequency lighting effects caused by these objects are also simulated with our method.\n\nThe third part of this thesis presents two user studies which evaluate the influence of the presented\nrendering methods on human perception. The first user study measured task performance with respect to the rendering mode, and the second user study was set up as a web survey where\nparticipants had to choose which of two presented images, showing mixed-reality scenes, they preferred.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 736 ], "co_supervisor": [ 1299 ], "date_end": "2013-12", "date_start": "2009-08", "reviewer_1": [ 193 ], "reviewer_2": [ 1299 ], "rigorosum": "2013-12-19", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "knecht_2013_RSM-Thesis.pdf", "type": "application/pdf", "size": 69715044, "path": "Publication:knecht_2013_RSM", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_2013_RSM/knecht_2013_RSM-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_2013_RSM/knecht_2013_RSM-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "RESHADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_2013_RSM/", "__class": "Publication" }, { "id": "koehle-2013-sgv", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Spatiotemporal genealogy visualization", "date": "2013-12", "abstract": "The focus of conventional genealogy visualization techniques lies on showing genera-\r\ntional and perhaps temporal relationships. A family tree, for instance, perfectly shows dates\r\nof birth and death of a person, who is the child of whom, as well as marriages and divorces.\r\nBut to fully understand an individual’s life, it is important to know some more facts: Where\r\nwas the person born? When did she or he leave home? How often and where to did that\r\nperson move? Where did people meet?\r\nWe propose a combination of a space-time cube and a timeline visualization to be able\r\nto actually see a person’s life. The timeline visualization shows generational and temporal\r\nrelationships, where the space-time cube visualizes spatial relationships and movements of\r\na single person as well as those of whole families. Event clouds (additional information\r\nlayers for historic events) can further show possible connections between such events and\r\nmigration of a person/family.\r\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 370, "preview_image_height": 349, "name": "koehle-2013-sgv-thesis.pdf", "type": "application/pdf", "size": 1221027, "path": "Publication:koehle-2013-sgv", "preview_name": "koehle-2013-sgv-thesis:preview.png", "preview_type": "image/png", "preview_size": 22908, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/koehle-2013-sgv/koehle-2013-sgv-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/koehle-2013-sgv/koehle-2013-sgv-thesis:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1125 ], "date_end": "2013-12", "date_start": "2013-05", "matrikelnr": "0426554", "supervisor": [ 171 ], "research_areas": [], "keywords": [ "spatio-temporal visualization", "genealogy " ], "weblinks": [], "files": [ { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 370, "preview_image_height": 349, "name": "koehle-2013-sgv-thesis.pdf", "type": "application/pdf", "size": 1221027, "path": "Publication:koehle-2013-sgv", "preview_name": "koehle-2013-sgv-thesis:preview.png", "preview_type": "image/png", "preview_size": 22908, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/koehle-2013-sgv/koehle-2013-sgv-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/koehle-2013-sgv/koehle-2013-sgv-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/koehle-2013-sgv/", "__class": "Publication" }, { "id": "vaico", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "VAICo: Visual Analysis for Image Comparison", "date": "2013-12", "abstract": "Scientists, engineers, and analysts are confronted with ever larger and more complex sets of data, whose analysis poses special challenges. In many situations it is necessary to compare two or more datasets. Hence there is a need for comparative visualization tools to help analyze differences or similarities among datasets. In this paper an approach for comparative visualization for sets of images is presented. Well-established techniques for comparing images frequently place them side-by-side. A major drawback of such approaches is that they do not scale well. Other image comparison methods encode differences in images by abstract parameters like color. In this case information about the underlying image data gets lost. This paper introduces a new method for visualizing differences and similarities in large sets of images which preserves contextual information, but also allows the detailed analysis of subtle variations. Our approach identifies local changes and applies cluster analysis techniques to embed them in a hierarchy. The results of this process are then presented in an interactive web application which allows users to rapidly explore the space of differences and drill-down on particular features. We demonstrate the flexibility of our approach by applying it to multiple distinct domains.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 400, "image_height": 289, "name": "vaico-teaser.png", "type": "image/png", "size": 206295, "path": "Publication:vaico", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 950, 166, 161 ], "date_from": "2013-10-13", "date_to": "2013-10-18", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 950 ], "note": "Demo: http://www.cg.tuwien.ac.at/~jschmidt/vaico/", "number": "12", "pages_from": "2090", "pages_to": "2099", "volume": "19", "research_areas": [ "InfoVis" ], "keywords": [ "focus+context", "image-set comparison", "Comparative visualization" ], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2013.213", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "Fast-Forward Video - 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3:50min - 27MB - DivX5", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 960, "preview_image_height": 720, "name": "vaico-video.avi", "type": "video/x-msvideo", "size": 27666804, "path": "Publication:vaico", "preview_name": "vaico-video:preview.png", "preview_type": "image/png", "preview_size": 187664, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-video:video.mp4" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/", "__class": "Publication" }, { "id": "Viola_Ivan_2013_VCA", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Visual cavity analysis in molecular simulations", "date": "2013-11", "abstract": "Molecular surfaces provide a useful mean for analyzing interactions between biomolecules; such as identification and characterization of ligand binding sites to a host macromolecule. We present a novel technique, which extracts potential binding sites, represented by cavities, and characterize them by 3D graphs and by amino acids. The binding sites are extracted using an implicit function sampling and graph algorithms. We propose an advanced cavity exploration technique based on the graph parameters and associated amino acids. Additionally, we interactively visualize the graphs in the context of the molecular surface. We apply our method to the analysis of MD simulations of Proteinase 3, where we verify the previously described cavities and suggest a new potential cavity to be studied.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1200, "image_height": 842, "name": "Viola_Ivan_2013_VCA-Image.png", "type": "image/png", "size": 602206, "path": "Publication:Viola_Ivan_2013_VCA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/Viola_Ivan_2013_VCA-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/Viola_Ivan_2013_VCA-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1143, 1144, 1145, 171 ], "issn": "1471-2105", "journal": "BMC Bioinformatics", "number": "Suppl 19:S4 ", "pages_from": "1", "pages_to": "15", "volume": "14", "research_areas": [ "BioVis" ], "keywords": [], "weblinks": [ { "href": "http://www.biomedcentral.com/1471-2105/14/S19/S4", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1200, "image_height": 842, "name": "Viola_Ivan_2013_VCA-Image.png", "type": "image/png", "size": 602206, "path": "Publication:Viola_Ivan_2013_VCA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/Viola_Ivan_2013_VCA-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/Viola_Ivan_2013_VCA-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_Ivan_2013_VCA-Paper.pdf", "type": "application/pdf", "size": 3740580, "path": "Publication:Viola_Ivan_2013_VCA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/Viola_Ivan_2013_VCA-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/Viola_Ivan_2013_VCA-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/", "__class": "Publication" }, { "id": "mistelbauer_2013_SIV", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Smart Interactive Vessel Visualization in Radiology ", "date": "2013-11", "abstract": "Cardiovascular diseases occur with increasing frequency in our society. Their diagnosis often requires tailored visualization techniques, e.g., to examine the blood flow channel in case of luminal narrowing. Curved Planar Reformation (CPR) addresses this field by creating longitudinal sections along the centerline of blood vessels. With the possibility to rotate around an axis, the entire vessel can be assessed for possible vascular abnormalities (e.g., calcifications on the vessel wall, stenoses, and occlusions). \n\nIn this thesis, we present a visualization technique, called Centerline Reformation (CR), that offers the possibility to investigate the interior of any blood vessel, regardless of its spatial orientation. Starting from the projected vessel centerlines, the lumen of any vessel is generated by employing wavefront propagation in image space. The vessel lumen can be optionally delineated by halos, to enhance spatial relationships when examining a dense vasculature. We present our method in a focus+context setup, by rendering a different kind of visualization around the lumen. We explain how to resolve correct visibility of multiple overlapping vessels in image space. Additionally, our visualization method allows the examination of a complex vasculature by means of interactive vessel filtering and subsequent visual querying. \n\nWe propose an improved version of the Centerline Reformation (CR) technique, by generating a completely three-dimensional reformation of vascular structures using ray casting. We call this process Curved Surface Reformation (CSR). In this method, the cut surface is smoothly extended into the surrounding tissue of the blood vessels. Moreover, automatically generated cutaways reveal as much of the vessel lumen as possible, while still retaining correct visibility. This technique offers unrestricted navigation within the inspected vasculature and allows diagnosis of any tubular structure, regardless of its spatial orientation. \n\nThe growing amount of data requires increasing knowledge from a user in order to select the appropriate visualization method for their analysis. In this thesis, we present an approach that externalizes the knowledge of domain experts in a human readable form and employs an inference system to provide only suitable visualization techniques for clinical diagnosis, namely Smart Super Views. We discuss the visual representation of such automatically suggested visualizations by encoding the respective relevance into shape and size of their view. By providing a smart spatial arrangement and integration, the image becomes the menu itself. Such a system offers a guided medical diagnosis by domain experts. \n\nAfter presenting the approach in a general setting, we describe an application scenario for diagnostic vascular visualization techniques. Since vascular structures usually consist of many vessels, we describe an anatomical layout for the investigation of the peripheral vasculature of the human lower extremities. By aggregating the volumetric information around the vessel centerlines in a circular fashion, we provide only a single static image for the assessment of the vessels. We call this method Curvicircular Feature Aggregation (CFA). In addition, we describe a stability analysis on the local deviations of the centerlines of vessels to determine potentially imprecise definitions. By conveying this information in the visualization, a fast visual analysis of the centerline stability is feasible. ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 869 ], "date_end": "2013", "date_start": "2010-09", "reviewer_1": [ 166 ], "reviewer_2": [ 1320 ], "rigorosum": "2013-11-25", "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "mistelbauer_2013_SIV-Thesis.pdf", "type": "application/pdf", "size": 75520620, "path": "Publication:mistelbauer_2013_SIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer_2013_SIV/mistelbauer_2013_SIV-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer_2013_SIV/mistelbauer_2013_SIV-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer_2013_SIV/", "__class": "Publication" }, { "id": "mlinaric-2013-volsurf", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Direct Volume Rendering for Polygon Models Embedded into Volumetric CT Data", "date": "2013-11", "abstract": "For a better visualization and understanding of volumetric data, combinations of surface and volume rendering can be used. Since, the rendering techniques used for polygon surfaces and volumes are different, the combination is not trivial. The presented methodology enhances the state-of-the-art techniques Maximum Intensity Projection (MIP), Direct Volume Rendering (DVR) and Maximum Intensity Difference Accumulation (MIDA) with methods to render surfaces, by buffering the positions, normals and colors of the polygon models, and utilizing them in the ray marching process. The methods have been implemented in the AngioVis Toolbox as a plugin.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1178 ], "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "The written bachelor thesis (11.4 MB).", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mlinaric-2013-volsurf-thesis.pdf", "type": "application/pdf", "size": 11361831, "path": "Publication:mlinaric-2013-volsurf", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mlinaric-2013-volsurf/mlinaric-2013-volsurf-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mlinaric-2013-volsurf/mlinaric-2013-volsurf-thesis:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mlinaric-2013-volsurf/", "__class": "Publication" }, { "id": "Dogangonul-2013-sparkGL", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Shading Framework for Modern Rendering Engines", "date": "2013-11", "abstract": "In real-time computer graphics algorithms are often implemented using\r\nshaders. Even simple e\u000bects possibly comprise several shader \fles. Advanced\r\nmaterial-light interactions are often accompanied by level-of-detail\r\nand occlusion optimizations, therefore, graphics developers have to cope\r\nwith various shader \fles often including duplicate shader code. Furthermore\r\nthe algorithms are forced to be divided into per-stage procedures, which also\r\ncontributes to the complexity of shader programming. Based on existing research\r\na framework in OpenGL should be implemented to facilitate shader\r\ndevelopment. Furthermore basic means for outputting intermediate computation\r\nresults should be provided to enhance debugging capabilities.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 876 ], "date_end": "2013", "date_start": "2012", "matrikelnr": "0416109", "supervisor": [ 980, 193 ], "research_areas": [], "keywords": [ "OpenGL", "Shading Language", "Framework", "Spark", "DirectX" ], "weblinks": [], "files": [ { "description": "", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Dogangonul-2013-sparkGL-poster.pdf", "type": "application/pdf", "size": 7451094, "path": "Publication:Dogangonul-2013-sparkGL", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Dogangonul-2013-sparkGL/Dogangonul-2013-sparkGL-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Dogangonul-2013-sparkGL/Dogangonul-2013-sparkGL-poster:thumb{{size}}.png" }, { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Dogangonul-2013-sparkGL-thesis.pdf", "type": "application/pdf", "size": 8989428, "path": "Publication:Dogangonul-2013-sparkGL", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Dogangonul-2013-sparkGL/Dogangonul-2013-sparkGL-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Dogangonul-2013-sparkGL/Dogangonul-2013-sparkGL-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Dogangonul-2013-sparkGL/", "__class": "Publication" }, { "id": "birsak-2013-sta", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Seamless Texturing of Archaeological Data", "date": "2013-10", "abstract": "In this paper we propose a framework for out-of-core real-time rendering of high-quality textured archaeological data-sets. Our input is a triangle mesh and a set of calibrated and registered photographs. Our system performs the actual mapping of the photos to the mesh for high-quality reconstructions, which is a task referred to as the labeling problem. Another problem of such mappings are seams that arise on junctions between triangles that contain information from different photos. These are are approached with blending methods, referred to as leveling. We address both problems and introduce a novel labeling approach based on occlusion detection using depth maps that prevents texturing of parts of the model with images that do not contain the expected region. Moreover, we propose an improved approach for seam-leveling that penalizes too large values and helps to keep the resulting colors in a valid range. For high-performance visualization of the 3D models with a huge amount of textures, we make use of virtual texturing, and present an application that generates the needed texture atlas in significantly less time than existing scripts. Finally, we show how the mentioned components are integrated into a visualization application for digitized archaeological site.", "authors_et_al": false, "substitute": null, "main_image": { "description": "thumb", "filetitle": "thumb", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 652, "name": "birsak-2013-sta-thumb.jpg", "type": "image/jpeg", "size": 123764, "path": "Publication:birsak-2013-sta", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-thumb.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-thumb:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 836, 844, 865, 193 ], "booktitle": "Digital Heritage International Congress (DigitalHeritage), 2013", "date_from": "2013-10-28", "date_to": "2013-11-01", "isbn": "978-1-4799-3168-2 ", "lecturer": [ 836 ], "location": "Marseille, France", "note": "DOI: 10.1109/DigitalHeritage.2013.6743749", "pages_from": "265", "pages_to": "272 ", "publisher": "IEEE", "research_areas": [ "Rendering" ], "keywords": [ "digital cultural heritage", "out-of-core real-time rendering", "seamless texturing", "virtual texturing" ], "weblinks": [], "files": [ { "description": "paper draft", "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "birsak-2013-sta-preprint.pdf", "type": "application/pdf", "size": 2939089, "path": "Publication:birsak-2013-sta", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-preprint:thumb{{size}}.png" }, { "description": "thumb", "filetitle": "thumb", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 652, "name": "birsak-2013-sta-thumb.jpg", "type": "image/jpeg", "size": 123764, "path": "Publication:birsak-2013-sta", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-thumb.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-thumb:thumb{{size}}.png" }, { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1282, "image_height": 712, "name": "birsak-2013-sta-thumbnail.jpg", "type": "image/jpeg", "size": 184340, "path": "Publication:birsak-2013-sta", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-thumbnail.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-thumbnail:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/", "__class": "Publication" }, { "id": "diehl-2013-VTA", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Visual Trend Analysis in Weather Forecast", "date": "2013-10", "abstract": "Weather conditions affect multiple aspects of human life such as\r\neconomy, safety, security, and social activities. Weather forecast\r\nsignificantly influences decision and policy making, construction\r\nplanning, productivity, and environmental risk management.\r\nVisualization of weather conditions and trends assists the anticipation\r\nof unexpected meteorological events and thus helps with\r\nappropriate actions and mitigation systems to minimize the impact\r\nof them on human life and activities.\r\nIn this work, we propose an interactive approach for visual analysis\r\nof weather trends and forecast errors in short-term weather\r\nforecast simulations. Our solution consists of a multi-aspect system\r\nthat provides different methods to visualize and analyze multiple\r\nruns, time-dependent data, and forecast errors. A key contribution\r\nof this work is the comparative visualization technique that allows\r\nusers to analyze possible weather trends and patterns.\r\nWe illustrate the usage of our approach with a case study designed\r\nand validated in conjunction with domain experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Poster summary", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 982, "preview_image_height": 491, "name": "diehl-2013-VTA-paper.pdf", "type": "application/pdf", "size": 1561548, "path": "Publication:diehl-2013-VTA", "preview_name": "diehl-2013-VTA-paper:preview.png", "preview_type": "image/png", "preview_size": 239864, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-paper:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1121, 161, 166, 1122, 1123 ], "date_from": "2013-10-13", "date_to": "2013-10-18", "event": "IEEE VIS 2013 Conference", "location": "Atlanta, Georgia, USA", "research_areas": [], "keywords": [ "Interactive Visual Analysis", "Comparative Visualization", "Weather Forecast Research" ], "weblinks": [], "files": [ { "description": "Poster summary", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 982, "preview_image_height": 491, "name": "diehl-2013-VTA-paper.pdf", "type": "application/pdf", "size": 1561548, "path": "Publication:diehl-2013-VTA", "preview_name": "diehl-2013-VTA-paper:preview.png", "preview_type": "image/png", "preview_size": 239864, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-paper:thumb{{size}}.png" }, { "description": "Demo", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "diehl-2013-VTA-video.mp4", "type": "video/mp4", "size": 7132586, "path": "Publication:diehl-2013-VTA", "preview_name": "diehl-2013-VTA-video:preview.png", "preview_type": "image/jpeg", "preview_size": 32911, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-video:video.mp4" }, { "description": "Fast Forward", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "diehl-2013-VTA-video.wmv", "type": "application/octet-stream", "size": 7379236, "path": "Publication:diehl-2013-VTA", "preview_name": "diehl-2013-VTA-video:preview.png", "preview_type": "image/jpeg", "preview_size": 32911, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-video.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-video:thumb{{size}}.png" } ], "projects_workgroups": [ "External" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/", "__class": "Publication" }, { "id": "oeltze-2013-tut", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "IEEE VIS Tutorial on Interactive Visual Analysis of Scientific Data", "date": "2013-10", "abstract": "In a growing number of application areas, a subject or phenomenon is investigated by means of multiple datasets being acquired over time (spatiotemporal), comprising several attributes per data point\r\n(multi-variate), stemming from different data sources (multi-modal) or multiple simulation runs (multi-run/ensemble). Interactive visual analysis (IVA) comprises concepts and techniques for a user-guided knowledge discovery in such complex data. Through a tight feedback loop of computation,\r\nvisualization and user interaction, it provides new insight into the data and serves as a vehicle for\r\nhypotheses generation or validation. It is often implemented via a multiple coordinated view framework where each view is equipped with interactive drill-down operations for focusing on data features.\r\nTwo classes of views are integrated:\r\nphysical views, such as direct volume rendering, show information in the context of the spatiotemporal observation space while\r\nattribute views, such as scatter\r\nplots and parallel coordinates, show relationships between multiple data attributes. The user may drill-down the data by selecting interesting regions of the observation space or attribute ranges leading to\r\na consistent highlighting of this selection in all other views (brushing-and-linking). Three patterns of\r\nexplorative/analytical procedures may be accomplished by doing so. In a\r\nfeature localization, the user\r\nsearches for places in the 3D/4D observation space where certain attribute values are present. In a\r\nmulti-variate analysis, relations between data attributes are investigated, e.g., by searching for correla-\r\ntions. In a local investigation, the user inspects the values of selected attributes with respect to certain\r\nspatiotemporal subsets of the observation space.\r\n\r\nIn this tutorial, we discuss examples for successful applications of IVA to scientific data from various\r\nfields: climate research, medicine, epidemiology, and flow simulation / computation, in particular for\r\nautomotive engineering. We base our discussions on a theoretical foundation of IVA which helps the\r\ntutorial attendees in transferring the subject matter to their own data and application area. In the course\r\nof the tutorial, the attendees will become acquainted with techniques from statistics and knowledge\r\ndiscovery, which proved to be particularly useful for a specific IVA application. The tutorial further\r\ncomprises an overview of off-the-shelf IVA solutions, which may be be particularly interesting for\r\nvisualization practitioners. It is concluded by a summary of the gained knowledge and a discussion of\r\nopen problems in IVA of scientific data.\r\n\r\nThe tutorial slides will be available at: http://tinyurl.com/SciDataIVA13", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 660, "image_height": 666, "name": "oeltze-2013-tut-image.jpg", "type": "image/jpeg", "size": 101584, "path": "Publication:oeltze-2013-tut", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/oeltze-2013-tut-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/oeltze-2013-tut-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 751, 176, 983 ], "event": "IEEE VisWeek", "lecturer": [ 751, 176, 983 ], "location": "Atlanta, Georgia, USA", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 660, "image_height": 666, "name": "oeltze-2013-tut-image.jpg", "type": "image/jpeg", "size": 101584, "path": "Publication:oeltze-2013-tut", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/oeltze-2013-tut-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/oeltze-2013-tut-image:thumb{{size}}.png" }, { "description": "", "filetitle": "Tutorial proposal", "main_file": true, "use_in_gallery": false, "access": "public", "name": "oeltze-2013-tut-Tutorial proposal.pdf", "type": "application/pdf", "size": 1923902, "path": "Publication:oeltze-2013-tut", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/oeltze-2013-tut-Tutorial proposal.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/oeltze-2013-tut-Tutorial proposal:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/", "__class": "Publication" }, { "id": "ohrhallinger_stefan-2013-smi", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Minimizing Edge Length to Connect Sparsely Sampled Unorganized Point Sets", "date": "2013-10", "abstract": "Most methods for interpolating unstructured point clouds handle densely sampled point sets quite well but get into trouble when\nthe point set contains regions with much sparser sampling, a situation often encountered in practice. In this paper, we present a new\nmethod that provides a better interpolation of sparsely sampled features.\nWe pose the surface construction problem as finding the triangle mesh which minimizes the sum of all triangles’ longest edge.\nThe output is a closed manifold triangulated surface Bmin. Exact computation of Bmin for sparse sampling is most probably NP-hard, and therefore we introduce suitable heuristics for its computing. The algorithm first connects the points by triangles chosen\nin order of their longest edge and with the requirement that all edges must have at least 2 incident triangles. This yields a closed\nnon-manifold shape which we call the Boundary Complex. Then we transform it into a manifold triangulation using topological\noperations. We show that in practice, runtime is linear to that of the Delaunay triangulation of the points.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 380, "image_height": 217, "name": "ohrhallinger_stefan-2013-smi-image.png", "type": "image/png", "size": 22445, "path": "Publication:ohrhallinger_stefan-2013-smi", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-smi/ohrhallinger_stefan-2013-smi-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-smi/ohrhallinger_stefan-2013-smi-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948, 1024, 193 ], "date_from": "2013-07-10", "date_to": "2013-07-12", "event": "Shape Modeling International 2013 (SMI)", "issn": "0097-8493", "journal": "Computers & Graphics (Proceedings of Shape Modeling International 2013)", "lecturer": [ 948 ], "location": "Bournemouth, UK", "number": "6", "pages_from": "645", "pages_to": "658", "volume": "37", "research_areas": [ "Geometry" ], "keywords": [ "point cloud", "reconstruction" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 380, "image_height": 217, "name": "ohrhallinger_stefan-2013-smi-image.png", "type": "image/png", "size": 22445, "path": "Publication:ohrhallinger_stefan-2013-smi", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-smi/ohrhallinger_stefan-2013-smi-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-smi/ohrhallinger_stefan-2013-smi-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger_stefan-2013-smi-paper.pdf", "type": "application/pdf", "size": 8341612, "path": "Publication:ohrhallinger_stefan-2013-smi", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-smi/ohrhallinger_stefan-2013-smi-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-smi/ohrhallinger_stefan-2013-smi-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger_stefan-2013-smi-slides.pdf", "type": "application/pdf", "size": 4224318, "path": "Publication:ohrhallinger_stefan-2013-smi", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-smi/ohrhallinger_stefan-2013-smi-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-smi/ohrhallinger_stefan-2013-smi-slides:thumb{{size}}.png" }, { "description": null, "filetitle": "source and binaries", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger_stefan-2013-smi-source and binaries.html", "type": "text/plain", "size": 89, "path": "Publication:ohrhallinger_stefan-2013-smi", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-smi/ohrhallinger_stefan-2013-smi-source and binaries.html", "thumb_image_sizes": [] } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-smi/", "__class": "Publication" }, { "id": "sorger-2013-neuromap", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "neuroMAP - Interactive Graph-Visualization of the Fruit Fly's Neural Circuit", "date": "2013-10", "abstract": "Neuroscientists study the function of neural circuits in the brain of the common fruit fly Drosophila melanogaster to discover how complex behavior is generated. To establish models of neural information processing, knowledge about potential connections between individual neurons is required. Connections can occur when the arborizations of two neurons overlap. Judging connectivity by analyzing overlaps using traditional volumetric visualization is difficult since the examined objects occlude each other. A more abstract form of representation is therefore desirable. In collaboration with a group of neuroscientists, we designed and implemented neuroMap, an interactive two-dimensional graph that renders the brain and its interconnections in the form of a circuit-style wiring diagram. neuroMap provides a clearly structured overview of all possible connections between neurons and offers means for interactive exploration of the underlying neuronal database. In this paper, we discuss the design decisions that formed neuroMap and evaluate its application in discussions with the scientists.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 947, "image_height": 703, "name": "sorger-2013-neuromap-teaser.jpg", "type": "image/jpeg", "size": 113971, "path": "Publication:sorger-2013-neuromap", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1072, 231, 1142, 1278, 820 ], "booktitle": "Biological Data Visualization (BioVis), 2013 IEEE Symposium on ", "lecturer": [ 1072 ], "location": "Atlanta", "pages_from": "73", "pages_to": "80", "publisher": "IEEE", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "sorger-2013-neuromap-paper.pdf", "type": "application/pdf", "size": 1416747, "path": "Publication:sorger-2013-neuromap", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 947, "image_height": 703, "name": "sorger-2013-neuromap-teaser.jpg", "type": "image/jpeg", "size": 113971, "path": "Publication:sorger-2013-neuromap", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/", "__class": "Publication" }, { "id": "Viola_2013_IDV", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Importance Driven Visualization of Molecular Surfaces", "date": "2013-10", "abstract": "We present a novel rendering method, based on the level-of-detail concept, which shows protein complexes over time in real-time. We exploit three different molecular surface models, solvent excluded surface (SES), Gaussian kernels and van der Waals spheres combined in one seamless visualization. As a general rule, closest to the viewer we aim at providing a maximum of relevant information related to the structure and binding sites. Such information is conveyed by the SES representation. Farther away from the viewer, we are smoothly changing the visual representation to an approximation of SES through Gaussian kernels. The least detailed representation is based on simple sphere splatting and is dedicated to structures farthest away from the viewer. A more general solution leads us to the definition of a 3D importance function that is based on the distance measure from a molecular feature. In order to preserve smoothness in transition areas, we introduce three shading levels that correspond to their geometric counterparts and a method for creating seamless transition between these representations. The SES representation with full shading and added contours stands in focus while on the other side a sphere representation with constant shading and without contours provide the context. Moreover, we introduce a methodology to render the entire molecule directly using the A-buffer technique, which further improves the performance. The rendering performance is evaluated on series of molecules of varying atom counts.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 452, "image_height": 481, "name": "Viola_2013_IDV-Image.png", "type": "image/png", "size": 235139, "path": "Publication:Viola_2013_IDV", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/Viola_2013_IDV-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/Viola_2013_IDV-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1143, 951, 171 ], "date_from": "2013-10-13", "date_to": "2013-10-14", "event": "3rd IEEE Symposium on Biological Data Visualization", "location": "Atlanta, GA", "publisher": "BioVis website (http://www.biovis.net/year/2013/posters)", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 452, "image_height": 481, "name": "Viola_2013_IDV-Image.png", "type": "image/png", "size": 235139, "path": "Publication:Viola_2013_IDV", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/Viola_2013_IDV-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/Viola_2013_IDV-Image:thumb{{size}}.png" }, { "description": "", "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola_2013_IDV-Poster.pdf", "type": "application/pdf", "size": 1251142, "path": "Publication:Viola_2013_IDV", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/Viola_2013_IDV-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/Viola_2013_IDV-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/", "__class": "Publication" }, { "id": "schaukowitsch-2013-fls", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Pano.NET - An interactive application for camera calibration, image stitching and projective operations", "date": "2013-09", "abstract": "The automatic generation of panoramic image mosaics has evolved into a mainstream consumer\r\napplication in recent years, thanks to modern algorithms and methods that can generate beautiful-\r\nlooking, artifact-free panoramas with minimal user interaction. Simple panoramas are only one\r\npossible application, other examples such as the scene-aware Google Street View show what is\r\npossible using these technologies. Software libraries such as\r\nOpenCV allow integration of image\r\nstitching and related operations into a multitude of applications with relative ease.\r\nIn this thesis, we present an interactive application (Pano.NET) that allows the user to\r\nexperiment with several commonly used methods for camera calibration and image stitching (as\r\nimplemented in\r\nOpenCV), and export related data such as registration information. We also give\r\nan overview of the used algorithms.\r\nIn addition, we implemented a projective drawing system that allows the user to draw lines\r\nand polygons onto a panorama and on the views that it consists of. Finally, a method is presented\r\nthat can generate six-sided cube maps out of a spherical panorama.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 812, "image_height": 440, "name": "schaukowitsch-2013-fls-image.jpg", "type": "image/jpeg", "size": 129904, "path": "Publication:schaukowitsch-2013-fls", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/schaukowitsch-2013-fls-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/schaukowitsch-2013-fls-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1093 ], "date_start": "2013-04-03", "matrikelnr": "0927289", "supervisor": [ 836, 844 ], "research_areas": [], "keywords": [ "multi-view image processing", "panorama imaging", "image compositing" ], "weblinks": [], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 812, "image_height": 440, "name": "schaukowitsch-2013-fls-image.jpg", "type": "image/jpeg", "size": 129904, "path": "Publication:schaukowitsch-2013-fls", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/schaukowitsch-2013-fls-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/schaukowitsch-2013-fls-image:thumb{{size}}.png" }, { "description": "thesis", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "schaukowitsch-2013-fls-Thesis.pdf", "type": "application/pdf", "size": 12865915, "path": "Publication:schaukowitsch-2013-fls", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/schaukowitsch-2013-fls-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/schaukowitsch-2013-fls-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/", "__class": "Publication" }, { "id": "sperl-2013-BA", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Procedural Textures for Architectural Models ", "date": "2013-09", "abstract": "Texturing plays an extremely important role in computer graphics. They may for example give flat objects colour patterns and depth or roughness. However it is often difficult to find or create fitting textures for a geometry or surface. Creating textures by hand can prove extremely difficult as problems with seams or distortion may occur, which make the texture look unrealistic. In order to counter these problems many different kinds of texture synthesis have been developed among which procedural textures hold an important position.\n\nThe types of texture synthesis methods vary from example-based synthesis to procedural noise, cellular textures and more, which can produce a wide array of different results.\n\nThe aim of this paper is to introduce the reader into related topics of texture synthesis and to introduce a method for generating cellular brick pattern textures that represent brick bonds that are used in real architecture taking correct handling of wall and window borders into consideration. The method uses few parameters to control the synthesis process. In addition a method for generating random stone patterns is introduced. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 801, "image_height": 441, "name": "sperl-2013-BA-image.png", "type": "image/png", "size": 216516, "path": "Publication:sperl-2013-BA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/sperl-2013-BA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/sperl-2013-BA-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1096 ], "date_end": "2013-09-30", "date_start": "2013-04-01", "matrikelnr": "1025854", "supervisor": [ 844 ], "research_areas": [ "Modeling" ], "keywords": [ "brick texutre synthesis", "cellular textures", "texture synthesis", "stone texture synthesis" ], "weblinks": [], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 801, "image_height": 441, "name": "sperl-2013-BA-image.png", "type": "image/png", "size": 216516, "path": "Publication:sperl-2013-BA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/sperl-2013-BA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/sperl-2013-BA-image:thumb{{size}}.png" }, { "description": "thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sperl-2013-BA-thesis.pdf", "type": "application/pdf", "size": 15284856, "path": "Publication:sperl-2013-BA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/sperl-2013-BA-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/sperl-2013-BA-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/", "__class": "Publication" }, { "id": "musialski-2013-surcgf", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "A Survey of Urban Reconstruction", "date": "2013-09", "abstract": "This paper provides a comprehensive overview of urban reconstruction. While there exists a considerable body of literature, this topic is still under very active research. The work reviewed in this survey stems from the following three research communities: computer graphics, computer vision, and photogrammetry and remote sensing. Our goal is to provide a survey that will help researchers to better position their own work in the context of existing solutions, and to help newcomers and practitioners in computer graphics to quickly gain an overview of this vast field. Further, we would like to bring the mentioned research communities to even more interdisciplinary work, since the reconstruction problem itself is by far not solved.", "authors_et_al": false, "substitute": null, "main_image": { "description": "overview", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1200, "image_height": 517, "name": "musialski-2013-surcgf-image.jpg", "type": "image/jpeg", "size": 285731, "path": "Publication:musialski-2013-surcgf", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-surcgf/musialski-2013-surcgf-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-surcgf/musialski-2013-surcgf-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844, 194, 955, 193, 954, 190 ], "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "6", "pages_from": "146", "pages_to": "177", "volume": "32", "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "facade modeling", "state-of-the-art report", "multi-view stereo", "structure f