[ { "id": "herzberger-2024-roh", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/193209", "title": "Residency Octree: a hybrid approach for scalable web-based multi-volume rendering", "date": "2024-01", "abstract": "We present a hybrid multi-volume rendering approach based on a novel Residency Octree that combines the advantages of out-of-core volume rendering using page tables with those of standard octrees. Octree approaches work by performing hierarchical tree traversal. However, in octree volume rendering, tree traversal and the selection of data resolution are intrinsically coupled. This makes fine-grained empty-space skipping costly. Page tables, on the other hand, allow access to any cached brick from any resolution. However, they do not offer a clear and efficient strategy for substituting missing high-resolution data with lower-resolution data. We enable flexible mixed-resolution out-of-core multi-volume rendering by decoupling the cache residency of multi-resolution data from a resolution-independent spatial subdivision determined by the tree. Instead of one-to-one node-to-brick correspondences, each residency octree node is mapped to a set of bricks from different resolution levels. This makes it possible to efficiently and adaptively choose and mix resolutions, adapt sampling rates, and compensate for cache misses. At the same time, residency octrees support fine-grained empty-space skipping, independent of the data subdivision used for caching. Finally, to facilitate collaboration and outreach, and to eliminate local data storage, our implementation is a web-based, pure client-side renderer using WebGPU and WebAssembly. Our method is faster than prior approaches and efficient for many data channels with a flexible and adaptive choice of data resolution.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2656, "image_height": 912, "name": "herzberger-2024-roh-teaser.png", "type": "image/png", "size": 550157, "path": "Publication:herzberger-2024-roh", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/herzberger-2024-roh/herzberger-2024-roh-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/herzberger-2024-roh/herzberger-2024-roh-teaser:thumb{{size}}.png" }, "sync_repositum_override": "projects,date_from,date_to,event,lecturer,location", "repositum_presentation_id": null, "authors": [ 1857, 226, 5321, 5322, 1933, 166, 818 ], "date_from": "2023-10-22", "date_to": "2023-10-27", "doi": "10.1109/TVCG.2023.3327193", "event": "IEEE VIS 2023", "issn": "1941-0506", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1857 ], "location": "Melbourne, Victoria, Australia", "number": "1", "open_access": "yes", "pages": "11", "pages_from": "1380", "pages_to": "1390", "publisher": "IEEE", "volume": "30", "research_areas": [], "keywords": [ "Rendering (computer graphics)", "Octrees", "Spatial resolution", "Graphics processing units", "Data visualization", "Optimization", "Standards", "Volume rendering", "Ray-guided rendering", "Large-scale data", "Out-of-core rendering", "Multi-resolution", "Multi-channel", "Web-Based Visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "herzberger-2024-roh-paper.pdf", "type": "application/pdf", "size": 8426051, "path": "Publication:herzberger-2024-roh", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/herzberger-2024-roh/herzberger-2024-roh-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/herzberger-2024-roh/herzberger-2024-roh-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2656, "image_height": 912, "name": "herzberger-2024-roh-teaser.png", "type": "image/png", "size": 550157, "path": "Publication:herzberger-2024-roh", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/herzberger-2024-roh/herzberger-2024-roh-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/herzberger-2024-roh/herzberger-2024-roh-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/herzberger-2024-roh/", "__class": "Publication" }, { "id": "Troidl_2022", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/192525", "title": "Barrio: Customizable Spatial Neighborhood Analysis and Comparison for Nanoscale Brain Structures", "date": "2022-06-15", "abstract": "High-resolution electron microscopy imaging allows neuroscientists to reconstruct not just entire cells but individual cell sub-structures (i.e., cell organelles) as well. Based on these data, scientists hope to get a better understanding of brain function and development through detailed analysis of local organelle neighborhoods. In-depth analyses require efficient and scalable comparison of a varying number of cell organelles, ranging from two to hundreds of local spatial neighborhoods. Scientists need to be able to analyze the 3D morphologies of organelles, their spatial distributions and distances, and their spatial correlations. We have designed Barrio as a configurable framework that scientists can adjust to their preferred workflow, visualizations, and supported user interactions for their specific tasks and domain questions. Furthermore, Barrio provides a scalable comparative visualization approach for spatial neighborhoods that automatically adjusts visualizations based on the number of structures to be compared. Barrio supports small multiples of spatial 3D views as well as abstract quantitative views, and arranges them in linked and juxtaposed views. To adapt to new domain-specific analysis scenarios, we allow the definition of individualized visualizations and their parameters for each analysis session. We present an in-depth case study for mitochondria analysis in neuronal tissue and demonstrate the usefulness of Barrio in a qualitative user study with neuroscientists.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1547, "image_height": 789, "name": "Troidl_2022-Image.png", "type": "image/png", "size": 435444, "path": "Publication:Troidl_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1659, 1932, 166, 1933, 226, 818 ], "cfp": { "name": "Full Papers – EuroVis 2022.pdf", "type": "application/pdf", "error": "0", "size": "560552", "orig_name": "Full Papers – EuroVis 2022.pdf", "ext": "pdf" }, "date_from": "2021-11-11", "date_to": "2022-06-15", "event": "Proceedings Eurographics/IEEE Symposium on Visualization, Eurovis 2022", "first_published": "2022-06-15", "issn": "1467-8659", "journal": "Computer Graphics Forum", "open_access": "yes", "pages": "12", "publisher": "WILEY", "volume": "41", "research_areas": [ "IllVis" ], "keywords": [ "Neuroscience (miscellaneous)", "Computer Graphics", "vizualitation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1547, "image_height": 789, "name": "Troidl_2022-Image.png", "type": "image/png", "size": 435444, "path": "Publication:Troidl_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Troidl_2022-Paper.pdf", "type": "application/pdf", "size": 5159703, "path": "Publication:Troidl_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/", "__class": "Publication" }, { "id": "klein-2016-WCL", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Towards Interactive Visual Exploration of Parallel Programs using a Domain-Specific Language", "date": "2016-04", "abstract": "The use of GPUs and the massively parallel computing paradigm have become wide-spread. We describe a framework for the interactive visualization and visual analysis of the run-time behavior of massively parallel programs, especially OpenCL kernels. This facilitates understanding a program's function and structure, finding the causes of possible slowdowns, locating program bugs, and interactively exploring and visually comparing different code variants in order to improve performance and correctness. Our approach enables very specific, user-centered analysis, both in terms of the recording of the run-time behavior and the visualization itself. Instead of having to manually write instrumented code to record data, simple code annotations tell the source-to-source compiler which code instrumentation to generate automatically. The visualization part of our framework then enables the interactive analysis of kernel run-time behavior in a way that can be very specific to a particular problem or optimization goal, such as analyzing the causes of memory bank conflicts or understanding an entire parallel algorithm.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1285, "image_height": 369, "name": "klein-2016-WCL-image.png", "type": "image/png", "size": 297574, "path": "Publication:klein-2016-WCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1285, 161, 166, 226, 488 ], "event": "4th International Workshop on OpenCL (IWOCL '16)", "location": "Vienna, Austria", "publisher": "ACM", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "extended_abstract", "main_file": false, "use_in_gallery": false, "access": "public", "name": "klein-2016-WCL-extended_abstract.pdf", "type": "application/pdf", "size": 866287, "path": "Publication:klein-2016-WCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-extended_abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-extended_abstract:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1285, "image_height": 369, "name": "klein-2016-WCL-image.png", "type": "image/png", "size": 297574, "path": "Publication:klein-2016-WCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "klein-2016-WCL-poster.pdf", "type": "application/pdf", "size": 3606134, "path": "Publication:klein-2016-WCL", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-poster:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/", "__class": "Publication" }, { "id": "Labschuetz_Matthias_2016_JITT", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "JiTTree: A Just-in-Time Compiled Sparse GPU Volume Data Structure", "date": "2016-01", "abstract": "Sparse volume data structures enable the efficient representation of large but sparse volumes in GPU memory for computation\r\nand visualization. However, the choice of a specific data structure for a given data set depends on several factors, such as\r\nthe memory budget, the sparsity of the data, and data access patterns. In general, there is no single optimal sparse data structure,\r\nbut a set of several candidates with individual strengths and drawbacks. One solution to this problem are hybrid data structures which\r\nlocally adapt themselves to the sparsity. However, they typically suffer from increased traversal overhead which limits their utility in\r\nmany applications. This paper presents JiTTree, a novel sparse hybrid volume data structure that uses just-in-time compilation to\r\novercome these problems. By combining multiple sparse data structures and reducing traversal overhead we leverage their individual\r\nadvantages. We demonstrate that hybrid data structures adapt well to a large range of data sets. They are especially superior to\r\nother sparse data structures for data sets that locally vary in sparsity. Possible optimization criteria are memory, performance and\r\na combination thereof. Through just-in-time (JIT) compilation, JiTTree reduces the traversal overhead of the resulting optimal data\r\nstructure. As a result, our hybrid volume data structure enables efficient computations on the GPU, while being superior in terms of\r\nmemory usage when compared to non-hybrid data structures.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 840, 161, 166, 226, 488 ], "date_from": "2015-10-25", "date_to": "2015-10-30", "event": "IEEE SciVis 2015", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 840 ], "location": "Chicago, IL, USA", "note": "Published in January 2016", "number": "1", "pages_from": "1025", "pages_to": "1034", "volume": "22", "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2015.2467331", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_JITT/", "__class": "Publication" }, { "id": "Groeller_2016_P3", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "State of the Art in Transfer Functions for Direct Volume Rendering", "date": "2016", "abstract": "A central topic in scientific visualization is the transfer function (TF) for volume rendering. The TF serves a fundamental role in translating scalar and multivariate data into color and opacity to express and reveal the relevant features present in the data studied. Beyond this core functionality, TFs also serve as a tool for encoding and utilizing domain knowledge and as an expression for visual design of material appearances. TFs also enable interactive volumetric exploration of complex data. The purpose of this state-of-the-art report (STAR) is to provide an overview of research into the various aspects of TFs, which lead\nto interpretation of the underlying data through the use of meaningful visual representations. The STAR classifies TF research into the following aspects: dimensionality, derived attributes, aggregated attributes, rendering aspects, automation, and user interfaces. The STAR concludes with some interesting research challenges that form the basis of an agenda for the development of next generation TF tools and methodologies.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 293, "image_height": 355, "name": "Groeller_2016_P3-image.jpg", "type": "image/jpeg", "size": 19111, "path": "Publication:Groeller_2016_P3", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1397, 1398, 166, 226, 1399, 1186 ], "event": "EuroVisSTAR2016", "journal": "Computer Graphics Forum (2016)", "location": " ", "number": "3", "pages_from": "669", "pages_to": "691", "volume": "35", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 293, "image_height": 355, "name": "Groeller_2016_P3-image.jpg", "type": "image/jpeg", "size": 19111, "path": "Publication:Groeller_2016_P3", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Groeller_2016_P3-paper.pdf", "type": "application/pdf", "size": 11431259, "path": "Publication:Groeller_2016_P3", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/", "__class": "Publication" }, { "id": "Labschuetz_Matthias_2015_JIT", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "JiTTree: A Just-in-Time Compiled Sparse GPU Volume Data Structure", "date": "2015-10", "abstract": "Sparse volume data structures enable the efficient representation of large but sparse volumes in GPU memory for computation and visualization. However, the choice of a specific data structure for a given data set depends on several factors, such as the memory budget, the sparsity of the data, and data access patterns. In general, there is no single optimal sparse data structure,\r\nbut a set of several candidates with individual strengths and drawbacks. One solution to this problem are hybrid data structures which locally adapt themselves to the sparsity. However, they typically suffer from increased traversal overhead which limits their utility in many applications. This paper presents JiTTree, a novel sparse hybrid volume data structure that uses just-in-time compilation to overcome these problems. By combining multiple sparse data structures and reducing traversal overhead we leverage their individual advantages. We demonstrate that hybrid data structures adapt well to a large range of data sets. They are especially superior to other sparse data structures for data sets that locally vary in sparsity. Possible optimization criteria are memory, performance and a combination thereof. Through just-in-time (JIT) compilation, JiTTree reduces the traversal overhead of the resulting optimal data structure. As a result, our hybrid volume data structure enables efficient computations on the GPU, while being superior in terms of memory usage when compared to non-hybrid data structures.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 840, 161, 166, 226, 488 ], "date_from": "2015-10-25", "date_to": "2015-10-30", "event": "IEEE SciVis 2015", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 840 ], "location": "Chicago, IL, USA", "note": "Published in January 2016", "number": "1", "pages_from": "1025", "pages_to": "1034", "volume": "22", "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2015.2467331", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Labschuetz_Matthias_2015_JIT/", "__class": "Publication" }, { "id": "Rautek_Peter_2014_VSA", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "ViSlang: A System for Interpreted Domain-Specific Languages for Scientific Visualization", "date": "2014", "abstract": "Researchers from many domains use scientific visualization in their daily practice. Existing implementations of algorithms usually come with a graphical user interface (high-level interface), or as software library or source code (low-level interface). In this paper we present a system that integrates domain-specific languages (DSLs) and facilitates the creation of new DSLs. DSLs provide an effective interface for domain scientists avoiding the difficulties involved with low-level interfaces and at the same time offering more flexibility than high-level interfaces. We describe the design and implementation of ViSlang, an interpreted language specifically\r\ntailored for scientific visualization. A major contribution of our design is the extensibility of the ViSlang language. Novel DSLs that are tailored to the problems of the domain can be created and integrated into ViSlang. We show that our approach can be added to\r\nexisting user interfaces to increase the flexibility for expert users on demand, but at the same time does not interfere with the user experience of novice users. To demonstrate the flexibility of our approach we present new DSLs for volume processing, querying and visualization. We report the implementation effort for new DSLs and compare our approach with Matlab and Python implementations in terms of run-time performance.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488, 161, 166, 226 ], "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "12", "pages_from": "2388", "pages_to": "2396", "volume": "20", "research_areas": [], "keywords": [ " Volume visualization framework ", " Volume visualization", "Domain-specific languages" ], "weblinks": [ { "href": "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6876040&queryText%3DViSlang%3A+A+System+for+Interpreted+Domain-Specific+Languages+for+Scientific+Visualization", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "", "filetitle": "Appendix A", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Rautek_Peter_2014_VSA-Appendix A.pdf", "type": "application/pdf", "size": 109880, "path": "Publication:Rautek_Peter_2014_VSA", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Appendix A.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Appendix A:thumb{{size}}.png" }, { "description": "", "filetitle": "Appendix B", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Rautek_Peter_2014_VSA-Appendix B.htm", "type": "text/html", "size": 18759, "path": "Publication:Rautek_Peter_2014_VSA", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Appendix B.htm", "thumb_image_sizes": [] }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Rautek_Peter_2014_VSA-Paper.pdf", "type": "application/pdf", "size": 8195263, "path": "Publication:Rautek_Peter_2014_VSA", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Paper:thumb{{size}}.png" }, { "description": "", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "Rautek_Peter_2014_VSA-Video.mp4", "type": "video/mp4", "size": 11612357, "path": "Publication:Rautek_Peter_2014_VSA", "preview_name": "Rautek_Peter_2014_VSA-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 24288, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/", "__class": "Publication" }, { "id": "muigg-2011-gpg", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Interactive Volume Visualization of General Polyhedral Grids", "date": "2011-12", "abstract": "This paper presents a novel framework for visualizing volumetric data specified on complex polyhedral grids, without the\r\nneed to perform any kind of a priori tetrahedralization. These grids are composed of polyhedra that often are non-convex and have\r\nan arbitrary number of faces, where the faces can be non-planar with an arbitrary number of vertices. The importance of such grids\r\nin state-of-the-art simulation packages is increasing rapidly. We propose a very compact, face-based data structure for representing\r\nsuch meshes for visualization, called two-sided face sequence lists (TSFSL), as well as an algorithm for direct GPU-based ray-casting\r\nusing this representation. The TSFSL data structure is able to represent the entire mesh topology in a 1D TSFSL data array of face\r\nrecords, which facilitates the use of efficient 1D texture accesses for visualization. In order to scale to large data sizes, we employ a\r\nmesh decomposition into bricks that can be handled independently, where each brick is then composed of its own TSFSL array. This\r\nbricking enables memory savings and performance improvements for large meshes. We illustrate the feasibility of our approach with\r\nreal-world application results, by visualizing highly complex polyhedral data from commercial state-of-the-art simulation packages.", "authors_et_al": false, "substitute": null, "main_image": { "description": "This exhaust manifold data set is defined on a polyhedral grid. The zoom-in shows the underlying mesh structure", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1330, "image_height": 790, "name": "muigg-2011-gpg-image.png", "type": "image/png", "size": 721800, "path": "Publication:muigg-2011-gpg", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 662, 226, 212, 166 ], "date_from": "2011-10-23", "date_to": "2011-10-28", "event": "IEEE VisWeek 2011", "issn": "1077 - 2626", "journal": "IEEE Transaction on Visualization and Computer Graphics", "lecturer": [ 662 ], "location": "Providence, RI, USA", "number": "12", "pages_from": "2115", "pages_to": "2124", "volume": "17", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "fast forward slides", "filetitle": "fastforward", "main_file": false, "use_in_gallery": false, "access": "public", "name": "muigg-2011-gpg-fastforward.ppt", "type": "", "size": 3621376, "path": "Publication:muigg-2011-gpg", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-fastforward.ppt", "thumb_image_sizes": [] }, { "description": "This exhaust manifold data set is defined on a polyhedral grid. The zoom-in shows the underlying mesh structure", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1330, "image_height": 790, "name": "muigg-2011-gpg-image.png", "type": "image/png", "size": 721800, "path": "Publication:muigg-2011-gpg", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "muigg-2011-gpg-paper.pdf", "type": "application/pdf", "size": 464488, "path": "Publication:muigg-2011-gpg", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-paper:thumb{{size}}.png" }, { "description": "presentationslides", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "muigg-2011-gpg-slides.ppt", "type": "", "size": 11790336, "path": "Publication:muigg-2011-gpg", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-slides.ppt", "thumb_image_sizes": [] }, { "description": "video demonstration", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1024, "preview_image_height": 768, "name": "muigg-2011-gpg-video.avi", "type": "video/x-msvideo", "size": 15131960, "path": "Publication:muigg-2011-gpg", "preview_name": "muigg-2011-gpg-video:preview.png", "preview_type": "image/jpeg", "preview_size": 49261, "url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-video:video.mp4" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/", "__class": "Publication" }, { "id": "Muigg_2011_VC", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visual Coherence for Large-Scale Line-Plot Visualizations", "date": "2011-06", "abstract": "Displaying a large number of lines within a limited amount of screen space is a task that is common to many\r\ndifferent classes of visualization techniques such as time-series visualizations, parallel coordinates, link-node diagrams,\r\nand phase-space diagrams. This paper addresses the challenging problems of cluttering and overdraw\r\ninherent to such visualizations. We generate a 2x2 tensor field during line rasterization that encodes the distribution\r\nof line orientations through each image pixel. Anisotropic diffusion of a noise texture is then used to generate\r\na dense, coherent visualization of line orientation. In order to represent features of different scales, we employ a\r\nmulti-resolution representation of the tensor field. The resulting technique can easily be applied to a wide variety\r\nof line-based visualizations. We demonstrate this for parallel coordinates, a time-series visualization, and a\r\nphase-space diagram. Furthermore, we demonstrate how to integrate a focus+context approach by incorporating\r\na second tensor field. Our approach achieves interactive rendering performance for large data sets containing\r\nmillions of data items, due to its image-based nature and ease of implementation on GPUs. Simulation results\r\nfrom computational fluid dynamics are used to evaluate the performance and usefulness of the proposed method.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 662, 226, 212, 166 ], "booktitle": "Computer Graphics Forum", "date_from": "2011-05-31", "date_to": "2011-06-03", "event": "EuroVis 2011", "issn": "0167-7055", "journal": "Computer Graphics Forum", "lecturer": [ 662 ], "location": "Bergen, Norway", "number": "3", "organization": "The Eurographics Association and Blackwell Publishing Ltd.", "pages_from": "643", "pages_to": "652", "publisher": "Blackwell Publishing", "volume": "30", "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2011.01913.x/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Muigg_2011_VC-Paper.pdf", "type": "application/pdf", "size": 1396935, "path": "Publication:Muigg_2011_VC", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Muigg_2011_VC/Muigg_2011_VC-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Muigg_2011_VC/Muigg_2011_VC-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Muigg_2011_VC/", "__class": "Publication" }, { "id": "Carata_2011_IVE", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Improving the Visualization of Electron-Microscopy Data Through Optical Flow Interpolation", "date": "2011-04", "abstract": "Technical developments in neurobiology have reached a point\r\nwhere the acquisition of high resolution images representing individual\r\nneurons and synapses becomes possible. For this, the brain\r\ntissue samples are sliced using a diamond knife and imaged with\r\nelectron-microscopy (EM). However, the technique achieves a low\r\nresolution in the cutting direction, due to limitations of the mechanical\r\nprocess, making a direct visualization of a dataset difficult. We\r\naim to increase the depth resolution of the volume by adding new\r\nimage slices interpolated from the existing ones, without requiring\r\nmodifications to the EM image-capturing method. As classical interpolation\r\nmethods do not provide satisfactory results on this type\r\nof data, the current paper proposes a re-framing of the problem in\r\nterms of motion volumes, considering the depth axis as a temporal\r\naxis. An optical flow method is adapted to estimate the motion\r\nvectors of pixels in the EM images, and this information is used\r\nto compute and insert multiple new images at certain depths in the\r\nvolume. We evaluate the visualization results in comparison with\r\ninterpolation methods currently used on EM data, transforming the\r\nhighly anisotropic original dataset into a dataset with a larger depth\r\nresolution. The interpolation based on optical flow better reveals\r\nneurite structures with realistic undistorted shapes, and helps to easier\r\nmap neuronal connections.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 981, 871, 226, 166 ], "booktitle": "Proceedings of the 27th Spring Conference on Computer Graphics", "date_from": "2011-04-27", "date_to": "2011-04-30", "lecturer": [ 981 ], "location": "Viničné, Slovak Republic", "organization": "Spring Conference on Computer Graphics", "pages_from": "1", "pages_to": "8", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Carata_2011_IVE-Paper.pdf", "type": "application/pdf", "size": 1897702, "path": "Publication:Carata_2011_IVE", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Carata_2011_IVE/Carata_2011_IVE-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Carata_2011_IVE/Carata_2011_IVE-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Carata_2011_IVE/", "__class": "Publication" }, { "id": "Muigg_2011_ISI", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Interactive Seismic Interpretation with Piecewise Global Energy Minimization", "date": "2011-03", "abstract": "Increasing demands in world-wide energy consumption and oil depletion\r\nof large reservoirs have resulted in the need for exploring\r\nsmaller and more complex oil reservoirs. Planning of the reservoir\r\nvalorization usually starts with creating a model of the subsurface\r\nstructures, including seismic faults and horizons. However, seismic\r\ninterpretation and horizon tracing is a difficult and error-prone task,\r\noften resulting in hours of work needing to be manually repeated.\r\nIn this paper, we propose a novel, interactive workflow for horizon\r\ninterpretation based on well positions, which include additional geological\r\nand geophysical data captured by actual drillings. Instead\r\nof interpreting the volume slice-by-slice in 2D, we propose 3D seismic\r\ninterpretation based on well positions. We introduce a combination\r\nof 2D and 3D minimal cost path and minimal cost surface\r\ntracing for extracting horizons with very little user input. By processing\r\nthe volume based on well positions rather than slice-based,\r\nwe are able to create a piecewise optimal horizon surface at interactive\r\nrates. We have integrated our system into a visual analysis\r\nplatform which supports multiple linked views for fast verification,\r\nexploration and analysis of the extracted horizons. The system is\r\ncurrently being evaluated by our collaborating domain experts.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 963, 818, 947, 662, 212, 964, 226 ], "booktitle": "Proceedings of IEEE Pacific Visualization 2011", "date_from": "2011-03-01", "date_to": "2011-03-04", "isbn": " 978-1-61284-935-5 ", "lecturer": [ 963 ], "location": "Hong Kong", "organization": "The 4th IEEE Pacific Visualization Symposium (PacificVis 2011)", "pages_from": "59", "pages_to": "66", "publisher": "IEEE Pacific Visualization 2011", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Muigg_2011_ISI-Paper.pdf", "type": "application/pdf", "size": 6377696, "path": "Publication:Muigg_2011_ISI", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Muigg_2011_ISI/Muigg_2011_ISI-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Muigg_2011_ISI/Muigg_2011_ISI-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Muigg_2011_ISI/", "__class": "Publication" }, { "id": "fritz-2009-ava", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "A Visual Approach to Efficient Analysis and Quantification of Ductile Iron and Reinforced Sprayed Concrete", "date": "2009-10", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 4426, "image_height": 2849, "name": "fritz-2009-ava-image.jpg", "type": "image/jpeg", "size": 910864, "path": "Publication:fritz-2009-ava", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ava/fritz-2009-ava-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ava/fritz-2009-ava-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 775, 226, 833, 834, 166 ], "date_from": "2009-10-11", "date_to": "2009-10-16", "event": "IEEE Visualization", "issn": "1077-2626", "journal": "IEEE TVCG", "lecturer": [ 226 ], "location": "Atlantic City, New Jersey, USA", "number": "6", "pages_from": "1343", "pages_to": "1350", "volume": "15", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 4426, "image_height": 2849, "name": "fritz-2009-ava-image.jpg", "type": "image/jpeg", "size": 910864, "path": "Publication:fritz-2009-ava", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ava/fritz-2009-ava-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ava/fritz-2009-ava-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "fritz-2009-ava-paper.pdf", "type": "application/pdf", "size": 6006903, "path": "Publication:fritz-2009-ava", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ava/fritz-2009-ava-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ava/fritz-2009-ava-paper:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ava/", "__class": "Publication" }, { "id": "eg-tut2005-iv", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Eurographics Tutorial on Illustrative Visualization", "date": "2005", "abstract": "The tutorial presents state-of-the-art visualization techniques inspired by traditional technical and medical illustrations.\nSuch techniques exploit the perception of the human visual system and provide effective visual abstractions\nto make the visualization clearly understandable. Visual emphasis and abstraction has been used for expressive\npresentation from prehistoric paintings to nowadays scientific and medical illustrations. Many of the expressive\ntechniques used in art are adopted in computer graphics, and are denoted as illustrative or non-photorealistic\nrendering. Different stroke techniques, or brush properties express a particular level of abstraction. Feature emphasis\nor feature suppression is achieved by combining different abstraction levels in illustrative rendering.\nChallenges in visualization research are very large data visualization as well as multi-dimensional data visualization.\nTo effectively convey the most important visual information there is a significant need for visual abstraction.\nFor less relevant information the dedicated image space is reduced to enhance more prominent features. The discussed techniques in the context of scientific visualization are based on iso-surfaces and volume rendering. Apart\nfrom visual abstraction, i.e., illustrative representation, the visibility of prominent features can be achieved by illustrative visualization techniques such as cut-away views or ghosted views. The structures that occlude the most prominent information are suppressed in order to clearly see more interesting parts. Another smart way to provide information on the data is using exploded views or other types of deformation. Illustrative visualization is demonstrated via application-specific tasks in medical visualization. An important aspect\nas compared to traditional medical illustrations is the interactivity and real-time manipulation of the acquired\npatient data. This can be very useful in anatomy education. Another application area is surgical planning which\nis demonstrated with two case studies: neck dissection and liver surgery planning.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 81, "name": "eg-tut2005-iv-image.jpg", "type": "image/jpeg", "size": 4401, "path": "Publication:eg-tut2005-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 166, 231, 226, 563, 564 ], "booktitle": "Tutorial Notes on Illustrative Visualization", "publisher": "Eurographics", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 81, "name": "eg-tut2005-iv-image.jpg", "type": "image/jpeg", "size": 4401, "path": "Publication:eg-tut2005-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Tutorial Notes", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eg-tut2005-iv-Tutorial Notes.pdf", "type": "application/pdf", "size": 18410027, "path": "Publication:eg-tut2005-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-Tutorial Notes.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-Tutorial Notes:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/", "__class": "Publication" }, { "id": "Viola-vistutillustrativevis", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "IEEE Visualization Tutorial on Illustrative Visualization", "date": "2005", "abstract": "The tutorial presents state-of-the-art visualization techniques inspired\nby traditional technical and medical illustrations. Such techniques\nexploit the perception of the human visual system and provide effective visual abstractions to make the visualization clearly understandable. Visual emphasis and abstraction has been used for expressive presentation from prehistoric paintings to nowadays scientific and medical illustrations. Many of the expressive techniques\nused in art are adopted in computer graphics, and are denoted as\nillustrative or non-photorealistic rendering. Different stroke techniques,\nor brush properties express a particular level of abstraction. Feature emphasis or feature suppression is achieved by combining different abstraction levels in illustrative rendering. Challenges in visualization research are very large data visualization as well as multi-dimensional data visualization. To effectively convey the most important visual information there is a significant need for visual abstraction. For less relevant information the dedicated image space is reduced to enhance more prominent features. The discussed techniques in the context of scientic visualization are based on iso-surfaces and volume rendering. Apart\nfrom visual abstraction, i.e., illustrative representation, the visibility of prominent features can be achieved by illustrative visualization\ntechniques such as cut-away views or ghosted views. The structures that occlude the most prominent information are suppressed in order to clearly see more interesting parts. A different smart way to provide information on the data is using exploded views or other\ntypes of deformation. Furthermore intuitive feature classification via 3D painting and manipulation with the classified data including label placement is presented. Discussed non-photorealistic and illustrative techniques from visualization and graphics are shown from the perspective as tools for illustrators from medicine, botany, archeology, and zoology. The limitations of existing NPR systems for science illustration are highlighted, and proposals for possible new directions are made.\nIllustrative visualization is demonstrated via application-specific tasks in medical visualization. An important aspect as compared to traditional medical illustrations is the interactivity and real-time manipulation of the acquired patient data. This can be very useful in anatomy education. Another application area is surgical planning which is demonstrated with two case studies: neck dissection and\nliver surgery planning.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 544, "image_height": 304, "name": "Viola-vistutillustrativevis-image.jpg", "type": "image/jpeg", "size": 63961, "path": "Publication:Viola-vistutillustrativevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 166, 231, 226, 563, 564, 565, 566 ], "research_areas": [ "IllVis" ], "keywords": [], 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"https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-Tutorial Notes Small Version:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/", "__class": "Publication" }, { "id": "Hadwiger-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "High-Quality Visualization and Filtering of Textures and Segmented Volume Data on Consumer Graphics Hardware", "date": "2004", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 608, "image_height": 608, "name": "Hadwiger-thesis-image.jpg", "type": "image/jpeg", "size": 102122, "path": "Publication:Hadwiger-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Hadwiger-thesis/Hadwiger-thesis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Hadwiger-thesis/Hadwiger-thesis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 226 ], "date_end": "2004-05", "date_start": "2000-09", "supervisor": [ 166, 176 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 608, "image_height": 608, "name": "Hadwiger-thesis-image.jpg", "type": "image/jpeg", "size": 102122, "path": "Publication:Hadwiger-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Hadwiger-thesis/Hadwiger-thesis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Hadwiger-thesis/Hadwiger-thesis-image:thumb{{size}}.png" }, { "description": "", "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Hadwiger-thesis-pdf.pdf", "type": "application/pdf", "size": 35634233, "path": "Publication:Hadwiger-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Hadwiger-thesis/Hadwiger-thesis-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Hadwiger-thesis/Hadwiger-thesis-pdf:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Hadwiger-thesis/", "__class": "Publication" }, { "id": "Hadwiger-2003-MIP", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "MIP-Mapping With Procedural and Texture-Based Magnification", "date": "2003", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 524, "image_height": 476, "name": "Hadwiger-2003-MIP-image.jpg", "type": "image/jpeg", "size": 70558, "path": "Publication:Hadwiger-2003-MIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Hadwiger-2003-MIP/Hadwiger-2003-MIP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Hadwiger-2003-MIP/Hadwiger-2003-MIP-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 226, 175, 176, 166 ], "booktitle": "Sketches & Applications", "publisher": "ACM", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 524, "image_height": 476, "name": "Hadwiger-2003-MIP-image.jpg", "type": "image/jpeg", "size": 70558, "path": "Publication:Hadwiger-2003-MIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Hadwiger-2003-MIP/Hadwiger-2003-MIP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Hadwiger-2003-MIP/Hadwiger-2003-MIP-image:thumb{{size}}.png" }, { "description": null, "filetitle": "PDF", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Hadwiger-2003-MIP-PDF.pdf", "type": "application/pdf", "size": 577373, "path": "Publication:Hadwiger-2003-MIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Hadwiger-2003-MIP/Hadwiger-2003-MIP-PDF.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Hadwiger-2003-MIP/Hadwiger-2003-MIP-PDF:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Hadwiger-2003-MIP/", "__class": "Publication" }, { "id": "Hadwiger-2002-Fas", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Fast and Flexible High-Quality Texture Filtering With Tiled High-Resolution Filters", "date": "2002-11", "abstract": "Current graphics hardware offers only very limited\r\nsupport for convolution operations, which is primarily\r\nintended for image processing. The input and\r\noutput sample grids have to coincide, making it impossible\r\nto use these features for more general filtering\r\ntasks such as image or texture resampling. Furthermore,\r\nmost hardware employs linear interpolation\r\nfor texture reconstruction purposes, incurring\r\nnoticeable artifacts. Higher-order interpolation via\r\ngeneral convolution is able to remove most of these\r\nartifacts. Real-time applications currently do not\r\nconsider higher-order filtering due to lack of hardware\r\nsupport. We present algorithms for extremely\r\nfast convolution on graphics hardware. This framework\r\ncan be used for general convolution tasks,\r\nbut is especially suited to substituting the native bilinear\r\nor tri-linear interpolation currently used for\r\ntexture magnification, while still achieving frame\r\nrates of up to 100 frames per second for full screen\r\nfiltering with bi-cubic interpolation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 200, "image_height": 202, "name": "Hadwiger-2002-Fas-image.jpg", "type": "image/jpeg", "size": 3996, "path": "Publication:Hadwiger-2002-Fas", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/Hadwiger-2002-Fas-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/Hadwiger-2002-Fas-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 226, 171, 175, 176 ], "booktitle": "Vision, Modeling and Visualization 2002", "pages_from": "155", "pages_to": "162", "publisher": "Akademische Verlagsgesellschaft Aka GmbH, Berlin", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 200, "image_height": 202, "name": "Hadwiger-2002-Fas-image.jpg", "type": "image/jpeg", "size": 3996, "path": "Publication:Hadwiger-2002-Fas", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/Hadwiger-2002-Fas-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/Hadwiger-2002-Fas-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Hadwiger-2002-Fas-Paper.pdf", "type": "application/pdf", "size": 7403232, "path": "Publication:Hadwiger-2002-Fas", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/Hadwiger-2002-Fas-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/Hadwiger-2002-Fas-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/", "__class": "Publication" }, { "id": "a-2001-ah", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Hardware Accelerated High-Quality Reconstruction of Volumetric Data on PC Consumer Hardware", "date": "2001", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 166, 175, 176, 226 ], "note": "Proceedings of Vision, Modeling, and Visualization 2001, November 2001, Stuttgart, Germany, pp. 105-112", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2001/a-2001-ah/", "__class": "Publication" } ]