[ { "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": "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": "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": "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": 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"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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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": "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" } ]