The current acquisition pipeline for visual models of 3D worlds is based on a paradigm of planning a goal-oriented acquisition - sampling on site - processing. The digital model of an artifact (an object, a building,up to an entire city) is produced by planning a specific scanning campaign, carefully selecting the (often costly) acquisition devices, performing the on-site acquisition at the required resolution and then post-processing the acquired data to produce a beautified triangulated and textured model. However, in the future we will be faced with the ubiquitous availability of sensing devices that deliver different data streams that need to be processed and displayed in a new way, for example smartphones, commodity stereo cameras, cheap aerial data acquisition devices, etc. We therefore propose a radical paradigm change in acquisition and processing technology: instead of a goal-driven acquisition that determines the devices and sensors, we let the sensors and resulting available data determine the acquisition process. Data acquisition might become incidental to other tasks that evices/people to which sensors are attached carry out. A variety of challenging problems need to be solved to exploit this huge amount of data, including: dealing with continuous streams of time-dependent data, finding means of integrating data from different sensors and modalities, detecting changes in data sets to create 4D models, harvesting data to go beyond simple 3D geometry, and researching new paradigms for interactive inspection capabilities with 4D data sets. In this project, we envision solutions to these challenges, paving the way for affordable and innovative uses of information technology in an evolving world sampled by ubiquitous visual sensors. Our approach is high-risk and an enabling factor for future visual applications. The focus is clearly on basic research questions to lay the foundation for the new paradigm of incidental 4D data capture.
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Although a huge body of soft-shadow algorithms have been proposed, to our knowledge this is the first methodical study for comparing different real-time shadow algorithms with respect to their plausibility and visual appearance. We evaluated soft-shadow properties like penumbra overlap with respect to their relevance to shadow perception in a systematic way, and we believe that our results can be useful to guide future shadow approaches in their methods of evaluation. In this study, we also capture the predominant case of an inexperienced user observing shadows without comparing to a reference solution, such as when watching a movie or playing a game. One important result of this experiment is to scientifically verify that real-time soft-shadow algorithms, despite having become physically based and very realistic, can nevertheless be intuitively distinguished from a correct solution by untrained users.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 978, "image_height": 850, "name": "hecher-2014-MH-image.png", "type": "image/png", "size": 245534, "path": "Publication:hecher-2014-MH", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 779, "drupal_id": 182, "orcid_id": 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"drupal_id": 4136, "name": "Perception", "short_abstract": "In this area, our research focuses on understanding and using the capabilities of human perception for designing high-quality graphics algorithms and effective visualizations.", "abstract": "In computer graphics we produce images, videos, visualizations and other content that is perceived by humans. By understanding the limits of human perception, we can design and optimize rendering algorithms that perfectly fit users' needs, tailor visualizations to make data better understandable, and effectively draw the user's attention to important information.
\r\n", "website": "https://www.cg.tuwien.ac.at/research/area/Perception", "teaser": { "name": "teaser.PNG", "path": "research_area:Perception", "type": "image/png", "size": 259428, "orig_name": "teaser.PNG", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Perception/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend", "vis" ], "publications": [ "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bernhard-2016-gft", "birkeland_aasmund_2014_pums", "cardoso-2022-rtpercept", "cardoso-thesis", "ERLER-2017-HVR", "eschner-2023-ims", "eschner-blur-2022", "georgiev-2019-cbg", "Groeller_2016_P7", "grossmann-2021-layout", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "huerbe-2019-BA", "Kathi-2018-VRB", "koch-2019-PR", "Koszticsak-2017-ewt", "kraehsmaier-dsc", "KREUZER-2017-PBF", "kristmann-2022-occ", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-ThesisFF", "kroesl-2020-XREye", "Laschober-2018", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "mayr-2021-wec", "mindek-2017-dsn", "pahr-2024-ieo", "panfili-2019-VAVR", "panfili-2021-myop", "plank-2017-sldg", "polatsek-2018-stv", "Reichinger-2016-spaghetti", "schindler_2020vis", "schuller_reichl-2019-avt", "Semmelrath-2022-IRS", "stappen_SteFAS", "steinkellner-2022-dll", "sundstedt-2013-vag", "thesis-kronsteiner", "trautner-2018-imd", "Vasylevska_Khrystyna-2019-TEFVR", "viola-evr", "Waldin_Nicholas_2016_Colormaps", "Waldin_Nicholas_2016_Individualization", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldner-2013-facetCloudsGI", "waldner-2014-af", "waldner-2017-vph", "waldner-2019-rld" ], "projects": [ "CROSSMOD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Perception", "__class": "ResearchArea" }, { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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foundations for global-illumination algorithms.", "abstract": "Creating photorealistic images has always been an essential goal in computer graphics. The image generation process builds on a complex mathematical construct, the so-called rendering equation. This equation defines how light interacts with surfaces in a virtual scene, and involves complex surface description models that describe important effects like reflections, glossy surface interactions, and indirect illumination. Solving this equation can be achieved by investing a large amount of time and computational resources, but intelligent methods have been found that greatly speed up the calculations up to an interactive or even real-time frame rates. Both interactive as well as any non-interactive applications such as computer games, visual effects, architectural lighting simulation, urban and automotive design, disaster simulation and many other applications that depend on an accurate light simulation, profit from efficient ways to calculate light transport.\nThese methods can be categorized by being a part of the mathematical field of functional analysis where a large body of research exists because it forms the basis for scientific fields such as quantum mechanics, chaos and ergodic theory, vision and signal processing besides countless specialized applications in areas like structural mechanics, simulation and other engineering problems. Applications of Fourier or Laplace transformations, Spherical Harmonics or Wavelets, just to name a few important approaches, are ubiquitous.\nHowever, despite the considerable amount of research work devoted to finding methods to calculate and analyze the complex light transport in a virtual scene, they remain challenging issues and many inherent properties of light transport are largely unknown.\nOver the course of the last 10 years, a more general form of wavelets, named anisotropic wavelets that introduce directionality to the basis definitions have been proposed. In particular, curvelets and contourlets have already proven to be powerful tools in astrophysics, seismology, fluid dynamics and vision due to their unique properties optimized for natural signals.\nYet, anisotropic wavelets have not been considered for light transport, though they have several advantages over standard wavelets such as a higher sparsity or near-optimal representation. Therefore, the main goal of this project is to develop methods based on anisotropic wavelets that calculate all aspects of light transport more efficiently, delivering a higher image quality with fewer resources, including an adaptation to all principal domains used in computer graphics. Due to their properties, anisotropic wavelets also form an excellent foundation to perform a fundamental multi-scale and multi-directional analysis of light transport which leads to a better understanding and deeper into the process of light transport in virtual scenes.\n", "start_date": "2012-10-01", "end_date": "2016-05-31", "leader_id": 193, "logo": null, "funding_organisations": [ { "id": "fwf", "contract_number": "P23700-N23", "comment": null } ], "research_areas": [ "Rendering" ], "publications": [ "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "auzinger-dissertation", "bernhard-2014-GTOM", "Habel_2012_PSP", "hecher-2014-MH", "intel2016", "Jimenez_SSS_2015", "LUKSCH-2013-FLM", "silvana_2014", "sippl-2014-fss", "zsolnai-ist-invited-2014" ], "url": "https://www.cg.tuwien.ac.at/research/projects/Mofa", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/", "__class": "Publication" }, { "id": "MATTAUSCH-2013-FSBE", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Freeform Shadow Boundary Editing", "date": "2013-05", "abstract": "We present an algorithm for artistically modifying physically based shadows. With our tool, an artist can directly edit the shadow boundaries in the scene in an intuitive fashion similar to freeform curve editing. Our algorithm then makes these shadow edits consistent with respect to varying light directions and scene configurations, by creating a shadow mesh from the new silhouettes. The shadow mesh helps a modified shadow volume algorithm cast shadows that conform to the artistic shadow boundary edits, while providing plausible interaction with dynamic environments, including animation of both characters and light sources. Our algorithm provides significantly more fine-grained local and direct control than previous artistic light editing methods, which makes it simple to adjust the shadows in a scene to reach a particular effect, or to create interesting shadow shapes and shadow animations. 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"field_id": "supervisor", "ordernum": 1 }, { "publ_id": "zsolnai-feher-thesis-2019", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=193", "__class": "Author" } ], "date_from": "2013-05-06", "date_to": "2013-05-10", "event": "EUROGRAPHICS 2013", "issn": "0167-7055", "journal": "Computer Graphics Forum (Proceeding of EUROGRAPHICS 2013)", "lecturer": [ { "id": 326, "drupal_id": 338, "orcid_id": "0000-0001-9483-9904", "website": "https://www.cg.tuwien.ac.at/staff/OliverMattausch", "firstname": "Oliver", "lastname": "Mattausch", "searchname": "Oliver Mattausch", "is_teacher": false, "name": "Oliver Mattausch", "publications": [ "2011scherzerE", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "hecher-2014-MH", "knecht_martin_2010_DIR", "knecht_martin_2012_RSMR", "matt-masterthesis", "matt2011", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "MATTAUSCH-2006-AVC", 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Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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"ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/MATTAUSCH-2013-FSBE/", "__class": "Publication" }, { "id": "SCHERZER-2012-TCM", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Temporal Coherence Methods in Real-Time Rendering", "date": "2012-12", "abstract": "Nowadays, there is a strong trend towards rendering to higher-resolution displays and at high frame rates. This development aims at delivering more detail and better accuracy, but it also comes at a significant cost.\nAlthough graphics cards continue to evolve with an ever-increasing amount of computational power, the speed gain is easily counteracted by increasingly complex and sophisticated shading computations. For real-time applications, the direct consequence is that image resolution and temporal resolution are often the first candidates to bow to the performance constraints (e.g., although full HD is possible, PS3 and XBox often render at lower resolutions).\n\nIn order to achieve high-quality rendering at a lower cost, one can exploit temporal coherence (TC). The underlying observation is that a higher resolution and frame rate do not necessarily imply a much higher workload, but a larger amount of redundancy and a higher potential for amortizing rendering over several frames. In this survey, we investigate methods that make use of this principle and provide practical and theoretical advice on how to exploit temporal coherence for performance optimization. These methods not only allow incorporating more computationally intensive shading effects into many existing applications, but also offer exciting opportunities for extending high-end graphics applications to lower-spec consumer-level hardware. To this end, we first introduce the notion and main concepts of TC, including an overview of historical methods. We then describe a general approach, image-space reprojection, with several implementation algorithms that facilitate reusing shading information across adjacent frames. We also discuss data-reuse quality and performance related to reprojection techniques. Finally, in the second half of this survey, we demonstrate various applications that exploit TC in real-time rendering.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 707, "image_height": 530, "name": "SCHERZER-2012-TCM-.png", "type": "image/png", "size": 337791, "path": "Publication:SCHERZER-2012-TCM", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/SCHERZER-2012-TCM/SCHERZER-2012-TCM-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/SCHERZER-2012-TCM/SCHERZER-2012-TCM-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 452, "drupal_id": 235, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/DanielScherzer", "firstname": "Daniel", "lastname": "Scherzer", "searchname": "Daniel Scherzer", "is_teacher": false, "name": "Daniel Scherzer", "publications": [ "2011scherzerE", "bagar2010", "hecher-2014-MH", "lipp2011a", "matt2011", "mattausch-2010-tao", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "reimer-2020-CBG", "S05", "Scherzer_2005", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2009c", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SSMW09", "Wimmer-2004-LSPM", "Wimmer-2006" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "bagar_2008", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "BAGAR-2010-LPB", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "houska-2020-IPGM", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Pajer-2006-tmcg", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Radax2008", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "riegler_topal_2007", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "scharl-master-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Scherzer-2007-PCS", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "SCHERZER-2008-FSR", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "scherzer2009c", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "scherzer2010e", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "schwaerzler-2009-ass", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "SSMW09", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Stingl_2011_RHS", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Wenigwieser2007", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=452", "__class": "Author" }, { "id": 868, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Lei", "lastname": "Yang", 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"abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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"BOKSANSKY-2019-RTS", "BORZA-2012-Stellarium", "brandmair-2024-bind", "brandmair-2024-rust", "brandmair-2025-rub", "Brandorff_06_PON", "Brandorff_06_SKIN", "brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", 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"ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", 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"Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "ioannis-2026-sro", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "machacek_christian-2026-prj", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-2026-sor", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "mayer_luiz-2026-baa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", 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To allow virtual objects to seamlessly blend into the real environment, the real lighting conditions and the mutual illumination effects between real and virtual objects must be considered, while maintaining interactive frame rates. The most important such effects are indirect illumination and shadows cast between real and virtual objects.\n\nOur approach combines Instant Radiosity and Differential Rendering. In contrast to some previous solutions, we only need to render the scene once in order to find the mutual effects of virtual and real scenes. In addition, we avoid artifacts like double shadows or inconsistent color bleeding which appear in previous work. The dynamic real illumination is derived from the image stream of a fish-eye lens camera. The scene gets illuminated by virtual point lights, which use imperfect shadow maps to calculate visibility. A sufficiently fast scene reconstruction is done at run-time with Microsoft's Kinect sensor. Thus a time-consuming manual pre-modeling step of the real scene is not necessary. Our results show that the presented method highly improves the illusion in mixed-reality applications and significantly diminishes the artificial look of virtual objects superimposed onto real scenes.", "authors_et_al": false, "substitute": null, "main_image": { "description": "GraphicalAbstract", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1328, "image_height": 531, "name": "knecht_martin_2012_RSMR-image.jpg", "type": "image/jpeg", "size": 441789, "path": "Publication:knecht_martin_2012_RSMR", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/knecht_martin_2012_RSMR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/knecht_martin_2012_RSMR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 736, "drupal_id": 137, 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Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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"zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "d9555", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "keywords": [ "Differential rendering", "Reconstruction", "Instant radiosity", "Microsoft Kinect", "Real-time global illumination", "Mixed reality" ], "weblinks": [ { "href": "http://www.sciencedirect.com/science/article/pii/S0097849312001148", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "knecht_martin_2012_RSMR-draft.pdf", "type": "application/pdf", "size": 15824633, "path": "Publication:knecht_martin_2012_RSMR", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/knecht_martin_2012_RSMR-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/knecht_martin_2012_RSMR-draft:thumb{{size}}.png" }, { "description": "GraphicalAbstract", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1328, "image_height": 531, "name": "knecht_martin_2012_RSMR-image.jpg", "type": "image/jpeg", "size": 441789, "path": "Publication:knecht_martin_2012_RSMR", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/knecht_martin_2012_RSMR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/knecht_martin_2012_RSMR-image:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "RESHADE", "workgroup_id": "rend", "drupal_id": 4230, "drupal_path": "/research/projects/RESHADE", "name": "Reciprocal Shading for Mixed Reality", "name_de": null, "short_title": "RESHADE", "website": null, "status": "active", "short_abstract": "The aim of this project is to simulate the mutual influence between real and virtual objects in mixed reality applications.", "abstract": "The aim of the RESHADE project is to simulate the mutual influence between real and virtual objects in mixed reality applications. Virtual objects in such applications appear disturbingly artificial because rendering completely ignores the real environment. But from the term mixed reality one would expect that virtual and real object harmoniously blend into one visual perception and cannot be distinguished easily.
\r\n\r\nThe ambitious goal of this project is to provide users with a perfect illusion, so that they cannot perceive a difference between virtual and real objects. That means virtual objects are responsive to changes in the real environment in real time. They have to be rendered in a believable realistic way so that they smoothly blend with reality. It is also important to simulate the visual effects of virtual objects on real ones.
\r\n\r\nBesides for realistic rendering this technique can also be used for innovative ways of interaction and dynamic behaviour of virtual objects, which are key aspects of mixed reality.
\r\n\r\nResearch focuses on real time rendering algorithms for mixed reality applications that consider the lighting and geometry of the real environment. Special cameras will continuously capture reality. The real geometry will also be used to simulate effects of virtual objects on real ones in real time. Shading of real objects will be corrected by digital composition.
\r\n\r\nResearch results will be repeatedly evaluated in the course of the project within three different application scenarios. Thereby human perception is the sole key factor for assessment of the quality of the solution.
\r\n", "start_date": "2009-02-01", "end_date": "2013-01-31", "leader_id": 237, "logo": { "name": "logo.png", "path": "project:RESHADE", "type": "image/png", "size": 187528, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/RESHADE/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "FFF", "contract_number": "820916", "comment": "FIT-IT Visual Computing" } ], "research_areas": [ "Rendering" ], "publications": [ "celarek_adam-2012-rrmro", "jahrmann_klemens_KFR", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2011-CBCM", "KUE11", "laager_florian-2013-camr", "rasch_martina-2013-HDRImage", "spelitz_stefan-2012-CDTFMR", "stutter_david-2012-kft", "winklhofer_christoph-2013-RRMR" ], "url": "https://www.cg.tuwien.ac.at/research/projects/RESHADE", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/", "__class": "Publication" }, { "id": "SCHWAERZLER-2012-FAS", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Fast Accurate Soft Shadows with Adaptive Light Source Sampling", "date": "2012-11", "abstract": "Physically accurate soft shadows in 3D applications can be simulated by taking multiple samples from all over the area light source and accumulating them. Due to the unpredictability of the size of the penumbra regions, the required sampling density has to be high in order to guarantee smooth shadow transitions in all cases. Hence, several hundreds of shadow maps have to be evaluated in any scene configuration, making the process computationally expensive. \n\nThus, we suggest an adaptive light source subdivision approach to select the sampling points adaptively. The main idea is to start with a few samples on the area light, evaluating there differences using hardware occlusion queries, and adding more sampling points if necessary.\n\nOur method is capable of selecting and rendering only the samples which contribute to an improved shadow quality, and hence generate shadows of comparable quality and accuracy. Even though additional calculation time is needed for the comparison step, this method saves valuable rendering time and achieves interactive to real-time frame rates in many cases where a brute force sampling method does not.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 407, "image_height": 248, "name": "SCHWAERZLER-2012-FAS-image.png", "type": "image/png", "size": 175885, "path": "Publication:SCHWAERZLER-2012-FAS", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/SCHWAERZLER-2012-FAS/SCHWAERZLER-2012-FAS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/SCHWAERZLER-2012-FAS/SCHWAERZLER-2012-FAS-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 678, "drupal_id": null, "orcid_id": null, "website": "http://www.vrvis.at/about/team/schwaerzler-michael", "firstname": "Michael", "lastname": "Schwärzler", "searchname": "Michael Schwärzler", "is_teacher": false, "name": "Michael Schwärzler", "publications": [ "2011scherzerE", "arikan-2013-osn", "Kathi-2018-VRB", "Knecht_Schwaerzler_2008_ash", "kroesl-2017-LiteMaker", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "musialski-2010-imv", "PB-VRVis-2018-005", "reisner-2011-akgeo", "scherzer-2009-isvc", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "sorger-2015-litevis", "SSMW09", "STEINLECHNER-2019-APS", "STEINLECHNER-2019-ICT", "TR-186-2-07-09" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "SCHWAERZLER-2012-FAS", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "SCHWAERZLER-2013-FPCSS", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=678", "__class": "Author" }, { "id": 326, "drupal_id": 338, "orcid_id": "0000-0001-9483-9904", "website": "https://www.cg.tuwien.ac.at/staff/OliverMattausch", "firstname": "Oliver", "lastname": "Mattausch", "searchname": "Oliver Mattausch", "is_teacher": false, "name": "Oliver Mattausch", "publications": [ "2011scherzerE", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "hecher-2014-MH", "knecht_martin_2010_DIR", "knecht_martin_2012_RSMR", "matt-masterthesis", "matt2011", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "preiner2014clop", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer2010d", "scherzer2011c", "SCHWAERZLER-2012-FAS", "SSMW09", "Theussl-2002-RSH" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "beham_2009.2009-EVS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "BITTNER-2009-AGVS", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "druml-2010-PFL", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "ERNST-2010-IOOC", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Knecht_Schwaerzler_2008_ash", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "knecht-2009-MKN", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "knecht-2009-TAS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "luksch_2008_asm", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2006-AVC", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2007-OSP", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "mattausch-2008-CHC", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2012-TIS", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2013-FSBE", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2015-CHCRT", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MAYER-2010-MTX", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "radax-2010-RTL", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Selig_2005_WRO", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "WALLNER-2010-CSSAO", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=326", "__class": "Author" }, { "id": 452, "drupal_id": 235, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/DanielScherzer", "firstname": "Daniel", "lastname": "Scherzer", "searchname": "Daniel Scherzer", "is_teacher": false, "name": "Daniel Scherzer", "publications": [ "2011scherzerE", "bagar2010", "hecher-2014-MH", "lipp2011a", "matt2011", "mattausch-2010-tao", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "reimer-2020-CBG", "S05", "Scherzer_2005", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2009c", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SSMW09", "Wimmer-2004-LSPM", "Wimmer-2006" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "bagar_2008", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "BAGAR-2010-LPB", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "houska-2020-IPGM", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Pajer-2006-tmcg", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Radax2008", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "riegler_topal_2007", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "scharl-master-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Scherzer-2007-PCS", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "SCHERZER-2008-FSR", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "scherzer2009c", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "scherzer2010e", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "schwaerzler-2009-ass", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "SSMW09", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Stingl_2011_RHS", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Wenigwieser2007", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=452", "__class": "Author" }, { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Bittner-2001-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brugger-2020-tdp", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "celarek_adam-2019-qelta", "celarek-2022-gmcn", "celarek-2025-d3g", "CHARALAMBOS-2007-HLOD", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "dataset-viennacity", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "erler_2024_ppsurf", "erler-2020-p2s", "erler-2025-lidarscout", "fink-2012-cg1", "fink-2013-cag", "freude_2020_rs", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "GRELAUD-2009-EPA", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2012_PSP", "Habel_LSN_2011", "Habel-2010-EIN", "hafner-2015-onff", "hecher-2014-MH", "HECHER-2017-HDY", "Honic_2021", "honic-2020-w78", "HU-2017-ETM", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2016-cescg", "ilcik-2016-cmssg", "JAHRMANN-2013-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ISTAR", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "Jimenez_SSS_2015", "Kathi-2018-VRB", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "kerbl-2024-ah3", "klaffenboeck-2024-rva", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2011-CBCM", "KOCH-2021-GVS", "koenigsberger-2024-msu", "kovacs-2023-ttm", "KREUZER-2015-DPA", "Kroesl_2020_11_09", "kroesl-2017-LiteMaker", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2020-XREye", "leimer_2017_rbpesc", "leimer-2016-rpe", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2024-val", "lipp2011a", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "MANTLER-2007-DMBBC", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-2026-sor", "matt2011", "MATTAUSCH-2006-AVC", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "murturi_PGG", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-surcgf", "musialski-2015-souos", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger-2016-sgp", "OTEPKA-2020-PPC", "panfili-2021-myop", "pistellato-2023-elp", "preiner_2010_GIPC", "preiner_2012_AS", "Preiner_2019", "preiner2014clop", "PUEYO-2019-SCL", "PURGATHOFER-2006-IHB", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2023-ani", "rasoulzadeh-2024-strokes2surface", "rasoulzadeh-2025-archcomplete", "reisinger-2023-iad", "ROEGNER-2015-IBR", "roth_vdi", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "santos-2017-dacge", "schedl-2012-dof", "schedl-2013-gP4", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", 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"Wimmer-1999-FWIb", "Wimmer-2001-CCL", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "Wimmer-2006", "WIMMER-2006-CES", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Wimmer-thesis", "wonka-2000-VisP", "wonka-2000-VisX", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "xmas-2023", "ymca", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "publications_first": [], "project_leader": [ "3DSpatialization", "CROSSMOD", "d10070", "d10169", "d4307", "d4314", "d4342", "d4386", "d4559", "d4729", "d4958", "d4984", "d9259", "Desiree", "EVOCATION", "GameTools", "GAMEWORLD", "GPV", "Harvest4D", "INTRA-SPACE", "Landspotting", "Mofa", "OpenData", "PAMINA", "PathSpace", "Photo-Guide", "REPLICATE", "Scanopy", "SCI_BIM", "ShapeAcquisition", "TERAPOINTS", "Treelumination", "UrbanViz", "Wohnen 4.0" ], "publication_field": [ { "publ_id": "ADORJAN-2013-ASE", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Adorjan-2015", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "agyemang-2021-bsdfproxyppg", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "aichner-2016-sadf", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "akan-vf", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Ams25", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "antes_sebastian-2026-msc", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "antes-g", "field_id": "supervisor", "ordernum": 0 }, { 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"ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=193", "__class": "Author" } ], "booktitle": "Proceedings of the 17th International Workshop on Vision, Modeling, and Visualization (VMV 2012)", "date_from": "2012-11-12", "date_to": "2012-11-14", "isbn": "978-3-905673-95-1", "lecturer": [ { "id": 678, "drupal_id": null, "orcid_id": null, "website": "http://www.vrvis.at/about/team/schwaerzler-michael", "firstname": "Michael", "lastname": "Schwärzler", "searchname": "Michael Schwärzler", "is_teacher": false, "name": "Michael Schwärzler", "publications": [ "2011scherzerE", "arikan-2013-osn", "Kathi-2018-VRB", "Knecht_Schwaerzler_2008_ash", "kroesl-2017-LiteMaker", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "musialski-2010-imv", "PB-VRVis-2018-005", "reisner-2011-akgeo", "scherzer-2009-isvc", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", 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Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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"Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "ioannis-2026-sro", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "machacek_christian-2026-prj", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-2026-sor", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "mayer_luiz-2026-baa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "perzi_marvin-2026-baa", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "rasoulzadeh-2025-archcomplete", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "resch_martin-2026-baa", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "telaar_sina-2026-baa", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagentristl_stefan-2026-baa", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/SCHWAERZLER-2012-FAS/", "__class": "Publication" }, { "id": "MATTAUSCH-2012-TIS", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Tessellation-Independent Smooth Shadow Boundaries", "date": "2012-06", "abstract": "We propose an efficient and light-weight solution for rendering smooth shadow boundaries that do not reveal the tessellation of the shadow-casting geometry. Our algorithm reconstructs the smooth contours of the underlying mesh and then extrudes shadow volumes from the smooth silhouettes to render the shadows. For this purpose we propose an improved silhouette reconstruction using the vertex normals of the underlying smooth mesh. Then our method subdivides the silhouette loops until the contours are sufficiently smooth and project to smooth shadow boundaries. This approach decouples the shadow smoothness from the tessellation of the geometry and can be used to maintain equally high shadow quality for multiple LOD levels. It causes only a minimal change to the fill rate, which is the well-known bottleneck of shadow volumes, and hence has only small overhead.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1280, "image_height": 720, "name": "MATTAUSCH-2012-TIS-.png", "type": "image/png", "size": 57545, "path": "Publication:MATTAUSCH-2012-TIS", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-TIS/MATTAUSCH-2012-TIS-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-TIS/MATTAUSCH-2012-TIS-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 326, "drupal_id": 338, "orcid_id": "0000-0001-9483-9904", "website": "https://www.cg.tuwien.ac.at/staff/OliverMattausch", "firstname": "Oliver", "lastname": 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Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. 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"Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "ioannis-2026-sro", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "machacek_christian-2026-prj", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-2026-sor", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "mayer_luiz-2026-baa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "perzi_marvin-2026-baa", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "rasoulzadeh-2025-archcomplete", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "resch_martin-2026-baa", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "telaar_sina-2026-baa", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagentristl_stefan-2026-baa", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-TIS/", "__class": "Publication" }, { "id": "MATTAUSCH-2012-EOV", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "Efficient Online Visibility for Shadow Maps", "date": "2012-02", "abstract": "Standard online occlusion culling is able to vastly improve the rasterization performance of walkthrough applications by identifying large parts of the scene as invisible from the camera and rendering only the visible geometry. However, it is of little use for the acceleration of shadow map generation (i.e., rasterizing the scene from the light view [Williams 78]), so that typically a high percentage of the geometry will be visible when rendering shadow maps. For example, in outdoor scenes typical viewpoints are near the ground and therefore have significant occlusion, while light viewpoints are higher up and see most of the geometry. Our algorithm remedies this situation by quickly detecting and culling the geometry that does not contribute to the shadow in the final image.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1273, "image_height": 689, "name": "MATTAUSCH-2012-EOV-image.png", "type": "image/png", "size": 184051, "path": "Publication:MATTAUSCH-2012-EOV", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-EOV/MATTAUSCH-2012-EOV-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-EOV/MATTAUSCH-2012-EOV-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 326, "drupal_id": 338, "orcid_id": "0000-0001-9483-9904", "website": "https://www.cg.tuwien.ac.at/staff/OliverMattausch", "firstname": 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{ "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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"beham_2009.2009-EVS", "BEHAM-2014-RCR", "beleznai_csaba-2025-pr", "belic_dejan_pr", "Bernhard_Matthias_2014_VAC", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "birsak-2017-dpe", "Birsak-Michael-2012", "birsak-thesis", "birsak-thesis", "Birsak2018-SA", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "bodzenta-2026-baa", "Bogner-2008-MTh", "boindl_2013", "BOKSANSKY-2019-RTS", "BORZA-2012-Stellarium", "brandmair-2024-bind", "brandmair-2024-rust", "brandmair-2025-rub", "Brandorff_06_PON", "Brandorff_06_SKIN", "brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deak-a3", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Derflinger-2024-RTTW", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", "Druml-2013-3DrC", "dusberger-2010-msm", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "eibensteiner-2016-pmg", "eibensteiner-2021-pmcg", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", 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"HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "ioannis-2026-sro", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "machacek_christian-2026-prj", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-2026-sor", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "mayer_luiz-2026-baa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", 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Peters", "research_areas": [ { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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"https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/matt2011-image-sibenik:thumb{{size}}.png" }, { "description": "convergence-aware filter", "filetitle": "image-tssao-filter", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 700, "image_height": 640, "name": "matt2011-image-tssao-filter.png", "type": "image/png", "size": 243838, "path": "Publication:matt2011", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/matt2011-image-tssao-filter.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/matt2011-image-tssao-filter:thumb{{size}}.png" }, { "description": "no filtering used", "filetitle": "image-tssao-no-filter", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 700, "image_height": 640, "name": "matt2011-image-tssao-no-filter.png", "type": "image/png", "size": 1346876, "path": "Publication:matt2011", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/matt2011-image-tssao-no-filter.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/matt2011-image-tssao-no-filter:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "GPV", "workgroup_id": "rend", "drupal_id": 4242, "drupal_path": "/research/projects/GPV", "name": "General Purpose Visibility", "name_de": null, "short_title": "GPV", "website": null, "status": "active", "short_abstract": "Visibility culling is a fundamental problem of computer graphics, and is of crucial importance for many applications, like game development or architectural design. For example, interactively rendering a model containing hundreds of millions of polygons like the Boeing 777 model shown on the cover page is only possible when invisible parts of the model are \"culled\" away. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Amazingly, most approaches still have more or less serious issues that prevent their widespread use. Preprocessed visibility solutions attempt to solve the problem in an offline step, but are often slow, lack robustness, and are hard to implement. Online culling algorithms have a lot of potential since they can be used on arbitrary scenes, but they induce an overhead during rendering which is unacceptable for applications that strive for optimal performance. We believe that basic research problems remain unsolved until this day for preprocessed visibility as well as for online culling, and the goal of this project is to tackle and solve the majority of these problems. In order to do this, we have to gain more insight into the complex properties of visibility, which are still not entirely understood. Our proposed methods have applications in various fields, like game development, architectural design, urban visualization, or massive model visualization.
\r\n", "abstract": "Visibility culling is a fundamental problem of computer graphics, and is of crucial importance for many applications, like game development or architectural design. For example, interactively rendering a model containing hundreds of millions of polygons like the Boeing 777 model shown on the cover page is only possible when invisible parts of the model are \"culled\" away. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Amazingly, most approaches still have more or less serious issues that prevent their widespread use. Preprocessed visibility solutions attempt to solve the problem in an offline step, but are often slow, lack robustness, and are hard to implement. Online culling algorithms have a lot of potential since they can be used on arbitrary scenes, but they induce an overhead during rendering which is unacceptable for applications that strive for optimal performance. We believe that basic research problems remain unsolved until this day for preprocessed visibility as well as for online culling, and the goal of this project is to tackle and solve the majority of these problems. In order to do this, we have to gain more insight into the complex properties of visibility, which are still not entirely understood. Our proposed methods have applications in various fields, like game development, architectural design, urban visualization, or massive model visualization.
\r\n", "start_date": "2008-05-01", "end_date": "2011-04-30", "leader_id": 193, "logo": { "name": "logo.png", "path": "project:GPV", "type": "image/png", "size": 335472, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/GPV/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P21130-N13", "comment": null } ], "research_areas": [ "Rendering" ], "publications": [ "beham_2009.2009-EVS", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "druml-2010-PFL", "ERNST-2010-IOOC", "knecht-2009-TAS", "matt2011", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MAYER-2010-MTX", "praeauer-2011-et", "radax-2010-RTL", "radits_2011_gahdr", "REINALTER_2010_VIS", "scherzer2011c", "SSMW09", "sundstedt-2013-vag", "WALLNER-2010-CSSAO", "WIMMER-2009-VCCG", "ZL_2011_IVIG" ], "url": "https://www.cg.tuwien.ac.at/research/projects/GPV", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/", "__class": "Publication" }, { "id": "2011scherzerE", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "Fast Soft Shadows with Temporal Coherence", "date": "2011-02", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": "algorithm flowchart", "filetitle": "flowchart", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2480, "image_height": 2832, "name": "2011scherzerE-flowchart.png", "type": "image/png", "size": 699525, "path": "Publication:2011scherzerE", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/2011scherzerE/2011scherzerE-flowchart.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/2011scherzerE/2011scherzerE-flowchart:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 452, "drupal_id": 235, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/DanielScherzer", "firstname": "Daniel", "lastname": "Scherzer", "searchname": "Daniel Scherzer", "is_teacher": false, "name": "Daniel Scherzer", "publications": [ "2011scherzerE", "bagar2010", "hecher-2014-MH", "lipp2011a", "matt2011", "mattausch-2010-tao", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "reimer-2020-CBG", "S05", "Scherzer_2005", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2009c", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SSMW09", "Wimmer-2004-LSPM", "Wimmer-2006" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "bagar_2008", "field_id": "supervisor", "ordernum": 0 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"field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=452", "__class": "Author" }, { "id": 678, "drupal_id": null, "orcid_id": null, "website": "http://www.vrvis.at/about/team/schwaerzler-michael", "firstname": "Michael", "lastname": "Schwärzler", "searchname": "Michael Schwärzler", "is_teacher": false, "name": "Michael Schwärzler", "publications": [ "2011scherzerE", "arikan-2013-osn", "Kathi-2018-VRB", "Knecht_Schwaerzler_2008_ash", "kroesl-2017-LiteMaker", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "musialski-2010-imv", "PB-VRVis-2018-005", "reisner-2011-akgeo", "scherzer-2009-isvc", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "sorger-2015-litevis", "SSMW09", "STEINLECHNER-2019-APS", "STEINLECHNER-2019-ICT", "TR-186-2-07-09" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "SCHWAERZLER-2012-FAS", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "SCHWAERZLER-2013-FPCSS", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=678", "__class": "Author" }, { "id": 326, "drupal_id": 338, "orcid_id": "0000-0001-9483-9904", "website": "https://www.cg.tuwien.ac.at/staff/OliverMattausch", "firstname": "Oliver", "lastname": "Mattausch", "searchname": "Oliver Mattausch", "is_teacher": false, "name": "Oliver Mattausch", "publications": [ "2011scherzerE", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "hecher-2014-MH", "knecht_martin_2010_DIR", "knecht_martin_2012_RSMR", "matt-masterthesis", "matt2011", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "preiner2014clop", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer2010d", "scherzer2011c", "SCHWAERZLER-2012-FAS", "SSMW09", "Theussl-2002-RSH" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "beham_2009.2009-EVS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "BITTNER-2009-AGVS", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "druml-2010-PFL", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "ERNST-2010-IOOC", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Knecht_Schwaerzler_2008_ash", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "knecht-2009-MKN", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "knecht-2009-TAS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "luksch_2008_asm", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2006-AVC", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2007-OSP", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "mattausch-2008-CHC", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2012-TIS", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2013-FSBE", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2015-CHCRT", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MAYER-2010-MTX", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "radax-2010-RTL", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Selig_2005_WRO", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "WALLNER-2010-CSSAO", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=326", "__class": "Author" } ], "booktitle": "GPU Pro 2", "editor": "Wolfgang Engel", "isbn": "978-1568817187", "pages_from": "243", "pages_to": "255", "publisher": "A.K. Peters", "research_areas": [ { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brandmair-2025-rub", "brugger-2020-tdp", "brugger-2020-tsdpbr", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CHARALAMBOS-2007-HLOD", "charpenay-2014-sgn", "Che-2025", "cline-09-poisson", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "dworschak-2024-aml", "ecormier-nocca-2025-sls", "eichner-2024-erv", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagabani-2025-ieh", "Erhardt_Seirlehner-2024-TamashiiIntegration", "ERLER-2017-HVR", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fink-2012-cg1", "Fischer-2018-sssvr", "FRAISS-2017-PCU", "FRAISS-2022-CGMM", "freude_2020_rs", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "GAMPER-2018-OSG", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "gersthofer_2017_COP", "geyer-2018-apbf", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "gramegna-rfr", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "Groeller_2016_P3", "Grossfurtner-2023-paego", "Gruber2019", "guerrero-2008-sli", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "HAFNER-2015-FEM", "HANN_2022_IPT", "hasbay-2026-tfo", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "hecher-2012-MH", "hecher-2014-MH", "heinz-2019-psi", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", "horvath_imp", "houska-2020-IPGM", "huber-2025-esl", "huerbe-2019-BA", "intel2016", "ioannis-2026-sro", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "Jeschke-2002-LEMA", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "Jimenez_SSS_2015", "KAFKA-2014-19MRD", "Kathi-2018-VRB", "Keilman2022", "Kellner-2021-DA", "kendlbacher-2016", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "kerbl-2024-ah3", "kimmersdorfer-2024-vcpr", "kimmersdorfer-fancyMaps-2023", "KLAUS-2020-PCC", "klein_2019_PHD", "klein_2019_PMP", "klein-2020-rtgi", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2007-ao", "knecht-2011-CBCM", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "KOEPPEL-2025-Nearfield", "Koeppl-2023-DLO", "Komon2022", "Konev-FCV2018", "Kovacs_2017", "kovacs-2025-pf", "KREUZER-2015-DPA", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-ThesisFF", "KROESL-2020-SVI", "kroesl-2020-XREye", "KUE11", "Kugler-2021", "Lan25", "leopold-2019-vox", "Liang-2023-TVR", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "Mazza_2021_05", "Meier_2024_WIALT", "MEINDL-2015-OSR", "metzger-2024-smv", "mindek-2017-marion", "mindek-xmas-card-2016", "murturi_PGG", "muth-2026-clouds", "neumann-2006-gamma", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "panfili-2019-VAVR", "panfili-2021-myop", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "PETER-2023-PSW", "pichler_2022_fro", "pirraku-f", "pistellato-2023-elp", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "preiner_2010_GIPC", "preiner_2017_phd", "preiner11IR", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "probst-2023-para", "prost-2016-molecule", "PROST-2017-RTL", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "radax-2008-ir", "Rainer_2017", "Rait2022", "Reisner_Irene_2013_R3D", "reznicek-2020-fpgaray", "ROEGNER-2014-TUI", 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"cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deak-a3", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Derflinger-2024-RTTW", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", 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"fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", 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"HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "ioannis-2026-sro", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "machacek_christian-2026-prj", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", 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"zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/2011scherzerE/", "__class": "Publication" }, { "id": "bittner-2011-scc", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Shadow Caster Culling for Efficient Shadow Mapping", "date": "2011-02", "abstract": "We propose a novel method for efficient construction of shadow maps by culling shadow casters which do not contribute to visible shadows. The method uses a mask of potential shadow receivers to cull shadow casters using a hierarchical occlusion culling algorithm. We propose several variants of the receiver mask implementations with different culling efficiency and computational costs.\nFor scenes with statically focused shadow maps we designed an efficient strategy to incrementally update the shadow map, which comes close to the rendering performance for unshadowed scenes. We show that our method achieves 3x-10x speedup for rendering large city like scenes and 1.5x-2x speedup for rendering an actual game scene.", "authors_et_al": false, "substitute": null, "main_image": { "description": "shadows", "filetitle": "image-l4d", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1273, "image_height": 691, "name": "bittner-2011-scc-image-l4d.png", "type": "image/png", "size": 1306467, "path": "Publication:bittner-2011-scc", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-image-l4d.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-image-l4d:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 198, "drupal_id": 299, "orcid_id": "0000-0002-5818-934X", "website": "https://www.cg.tuwien.ac.at/staff/JiríBittner", 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"id": 198, "drupal_id": 299, "orcid_id": "0000-0002-5818-934X", "website": "https://www.cg.tuwien.ac.at/staff/JiríBittner", "firstname": "Jirí", "lastname": "Bittner", "searchname": "Jirí Bittner", "is_teacher": false, "name": "Jirí Bittner", "publications": [ "Artusi-2003-Del", "Bittner-2001-ERV", "Bittner-2001-Vis", "Bittner-2003-Exa", "Bittner-2003-VCG", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "CHARALAMBOS-2007-HLOD", "Havran-2003-Exp", "havran-2005-egsr", "havran-2006-tut", "MATTAUSCH-2006-AVC", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "MATTAUSCH-2012-EOV", "MATTAUSCH-2015-CHCRT", "Wimmer-2005-HOQ" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "auzinger-2015-phd", "field_id": "reviewer_1", "ordernum": 0 }, { "publ_id": "auzinger-dissertation", "field_id": "reviewer_1", "ordernum": 0 }, { "publ_id": "Bittner-2001-Vis", "field_id": 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Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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"https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-video-casterculling:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-video-casterculling:video.mp4" } }, "projects_workgroups": [ { "id": "GPV", "workgroup_id": "rend", "drupal_id": 4242, "drupal_path": "/research/projects/GPV", "name": "General Purpose Visibility", "name_de": null, "short_title": "GPV", "website": null, "status": "active", "short_abstract": "Visibility culling is a fundamental problem of computer graphics, and is of crucial importance for many applications, like game development or architectural design. For example, interactively rendering a model containing hundreds of millions of polygons like the Boeing 777 model shown on the cover page is only possible when invisible parts of the model are \"culled\" away. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Amazingly, most approaches still have more or less serious issues that prevent their widespread use. Preprocessed visibility solutions attempt to solve the problem in an offline step, but are often slow, lack robustness, and are hard to implement. Online culling algorithms have a lot of potential since they can be used on arbitrary scenes, but they induce an overhead during rendering which is unacceptable for applications that strive for optimal performance. We believe that basic research problems remain unsolved until this day for preprocessed visibility as well as for online culling, and the goal of this project is to tackle and solve the majority of these problems. In order to do this, we have to gain more insight into the complex properties of visibility, which are still not entirely understood. Our proposed methods have applications in various fields, like game development, architectural design, urban visualization, or massive model visualization.
\r\n", "abstract": "Visibility culling is a fundamental problem of computer graphics, and is of crucial importance for many applications, like game development or architectural design. For example, interactively rendering a model containing hundreds of millions of polygons like the Boeing 777 model shown on the cover page is only possible when invisible parts of the model are \"culled\" away. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Amazingly, most approaches still have more or less serious issues that prevent their widespread use. Preprocessed visibility solutions attempt to solve the problem in an offline step, but are often slow, lack robustness, and are hard to implement. Online culling algorithms have a lot of potential since they can be used on arbitrary scenes, but they induce an overhead during rendering which is unacceptable for applications that strive for optimal performance. We believe that basic research problems remain unsolved until this day for preprocessed visibility as well as for online culling, and the goal of this project is to tackle and solve the majority of these problems. In order to do this, we have to gain more insight into the complex properties of visibility, which are still not entirely understood. Our proposed methods have applications in various fields, like game development, architectural design, urban visualization, or massive model visualization.
\r\n", "start_date": "2008-05-01", "end_date": "2011-04-30", "leader_id": 193, "logo": { "name": "logo.png", "path": "project:GPV", "type": "image/png", "size": 335472, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/GPV/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P21130-N13", "comment": null } ], "research_areas": [ "Rendering" ], "publications": [ "beham_2009.2009-EVS", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "druml-2010-PFL", "ERNST-2010-IOOC", "knecht-2009-TAS", "matt2011", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MAYER-2010-MTX", "praeauer-2011-et", "radax-2010-RTL", "radits_2011_gahdr", "REINALTER_2010_VIS", "scherzer2011c", "SSMW09", "sundstedt-2013-vag", "WALLNER-2010-CSSAO", "WIMMER-2009-VCCG", "ZL_2011_IVIG" ], "url": "https://www.cg.tuwien.ac.at/research/projects/GPV", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/", "__class": "Publication" }, { "id": "scherzer2011c", "type_id": "otherreviewed", "tu_id": null, "repositum_id": null, "title": "A Survey on Temporal Coherence Methods in Real-Time Rendering", "date": "2011", "abstract": "Nowadays, there is a strong trend towards rendering to higher-resolution displays and at high frame rates. This development aims at delivering more detail and better accuracy, but it also comes at a significant cost.\nAlthough graphics cards continue to evolve with an ever-increasing amount of computational power, the processing gain is counteracted to a high degree by increasingly complex and sophisticated pixel computations. For real-time applications, the direct consequence is that image resolution and temporal resolution are often the first candidates to bow to the performance constraints (e.g., although full HD is possible, PS3 and XBox often render at lower resolutions).\n\nIn order to achieve high-quality rendering at a lower cost, one can exploit emph{temporal coherence} (TC). The underlying observation is that a higher resolution and frame rate do not necessarily imply a much higher workload, but a larger amount of redundancy and a higher potential for amortizing rendering over several frames. In this STAR, we will investigate methods that make use of this principle and provide practical and theoretical advice on how to exploit temporal coherence for performance optimization. These methods not only allow us to incorporate more computationally intensive shading effects into many existing applications, but also offer exciting opportunities for extending high-end graphics applications to lower-spec consumer-level hardware.\n\nTo this end, we first introduce the notion and main concepts of TC, including an overview of historical methods. We then describe a key data structure, the so-called emph{reprojection cache}, with several supporting algorithms that facilitate reusing shading information from previous frames. Its usefulness is illustrated in the second part of the STAR, where we present various applications. We illustrate how expensive pixel shaders, multi-pass shading effects, stereo rendering, shader antialiasing, shadow casting, and global-illumination effects can profit from pixel reuse. Furthermore, we will see that optimizations for visibility culling and object-space global illumination can also be achieved by exploiting TC.\n\nThis STAR enables the reader to gain an overview of many techniques in this cutting-edge field and provides many insights into algorithmic choices and implementation issues. It delivers working knowledge of how various existing techniques are optimized via data reuse. Another goal of this STAR is to inspire the reader and to raise awareness for temporal coherence as an elegant tool that could be a crucial component to satisfy the recent need for higher resolution and more detailed content.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "scherzer2011c-.png", "type": "image/png", "size": 883179, "path": "Publication:scherzer2011c", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 452, "drupal_id": 235, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/DanielScherzer", "firstname": "Daniel", "lastname": "Scherzer", "searchname": "Daniel Scherzer", "is_teacher": false, "name": "Daniel Scherzer", "publications": [ "2011scherzerE", "bagar2010", "hecher-2014-MH", "lipp2011a", "matt2011", "mattausch-2010-tao", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "reimer-2020-CBG", "S05", "Scherzer_2005", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2009c", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SSMW09", "Wimmer-2004-LSPM", "Wimmer-2006" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "bagar_2008", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "BAGAR-2010-LPB", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "houska-2020-IPGM", "field_id": "supervisor", 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"__class": "Author" }, { "id": 868, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Lei", "lastname": "Yang", "searchname": "Lei Yang", "is_teacher": false, "name": "Lei Yang", "publications": [ "cardoso-2022-rtpercept", "SCHERZER-2012-TCM", "scherzer2010d", "scherzer2011c" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=868", "__class": "Author" }, { "id": 326, "drupal_id": 338, "orcid_id": "0000-0001-9483-9904", "website": "https://www.cg.tuwien.ac.at/staff/OliverMattausch", "firstname": "Oliver", "lastname": "Mattausch", "searchname": "Oliver Mattausch", "is_teacher": false, "name": "Oliver Mattausch", "publications": [ "2011scherzerE", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "hecher-2014-MH", "knecht_martin_2010_DIR", "knecht_martin_2012_RSMR", "matt-masterthesis", "matt2011", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "preiner2014clop", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer2010d", "scherzer2011c", "SCHWAERZLER-2012-FAS", "SSMW09", "Theussl-2002-RSH" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "beham_2009.2009-EVS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "BITTNER-2009-AGVS", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "druml-2010-PFL", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "ERNST-2010-IOOC", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Knecht_Schwaerzler_2008_ash", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "knecht-2009-MKN", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "knecht-2009-TAS", "field_id": 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"drupal_id": null, "orcid_id": null, "website": null, "firstname": "Diego", "lastname": "Nehab", "searchname": "Diego Nehab", "is_teacher": false, "name": "Diego Nehab", "publications": [ "SCHERZER-2012-TCM", "scherzer2011c" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=899", "__class": "Author" }, { "id": 900, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Pedro V.", "lastname": "Sander", "searchname": "Pedro V. 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Sander", "publications": [ "SCHERZER-2012-TCM", "scherzer2011c" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=900", "__class": "Author" }, { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Bittner-2001-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brugger-2020-tdp", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "celarek_adam-2019-qelta", "celarek-2022-gmcn", "celarek-2025-d3g", "CHARALAMBOS-2007-HLOD", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "dataset-viennacity", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "erler_2024_ppsurf", "erler-2020-p2s", "erler-2025-lidarscout", "fink-2012-cg1", "fink-2013-cag", "freude_2020_rs", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "GRELAUD-2009-EPA", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2012_PSP", "Habel_LSN_2011", 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Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. 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300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-pdf:thumb{{size}}.png" }, { "description": "eg-slides", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "scherzer2011c-slides.rar", "type": "application/x-rar", "size": 94435406, "path": "Publication:scherzer2011c", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-slides.rar", "thumb_image_sizes": [] } ], "projects_workgroups": [ { "id": "GPV", "workgroup_id": "rend", "drupal_id": 4242, "drupal_path": "/research/projects/GPV", "name": "General Purpose Visibility", "name_de": null, "short_title": "GPV", "website": null, "status": "active", "short_abstract": "Visibility culling is a fundamental problem of computer graphics, and is of crucial importance for many applications, like game development or architectural design. For example, interactively rendering a model containing hundreds of millions of polygons like the Boeing 777 model shown on the cover page is only possible when invisible parts of the model are \"culled\" away. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Amazingly, most approaches still have more or less serious issues that prevent their widespread use. Preprocessed visibility solutions attempt to solve the problem in an offline step, but are often slow, lack robustness, and are hard to implement. Online culling algorithms have a lot of potential since they can be used on arbitrary scenes, but they induce an overhead during rendering which is unacceptable for applications that strive for optimal performance. We believe that basic research problems remain unsolved until this day for preprocessed visibility as well as for online culling, and the goal of this project is to tackle and solve the majority of these problems. In order to do this, we have to gain more insight into the complex properties of visibility, which are still not entirely understood. Our proposed methods have applications in various fields, like game development, architectural design, urban visualization, or massive model visualization.
\r\n", "abstract": "Visibility culling is a fundamental problem of computer graphics, and is of crucial importance for many applications, like game development or architectural design. For example, interactively rendering a model containing hundreds of millions of polygons like the Boeing 777 model shown on the cover page is only possible when invisible parts of the model are \"culled\" away. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Amazingly, most approaches still have more or less serious issues that prevent their widespread use. Preprocessed visibility solutions attempt to solve the problem in an offline step, but are often slow, lack robustness, and are hard to implement. Online culling algorithms have a lot of potential since they can be used on arbitrary scenes, but they induce an overhead during rendering which is unacceptable for applications that strive for optimal performance. We believe that basic research problems remain unsolved until this day for preprocessed visibility as well as for online culling, and the goal of this project is to tackle and solve the majority of these problems. In order to do this, we have to gain more insight into the complex properties of visibility, which are still not entirely understood. Our proposed methods have applications in various fields, like game development, architectural design, urban visualization, or massive model visualization.
\r\n", "start_date": "2008-05-01", "end_date": "2011-04-30", "leader_id": 193, "logo": { "name": "logo.png", "path": "project:GPV", "type": "image/png", "size": 335472, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/GPV/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P21130-N13", "comment": null } ], "research_areas": [ "Rendering" ], "publications": [ "beham_2009.2009-EVS", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "druml-2010-PFL", "ERNST-2010-IOOC", "knecht-2009-TAS", "matt2011", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MAYER-2010-MTX", "praeauer-2011-et", "radax-2010-RTL", "radits_2011_gahdr", "REINALTER_2010_VIS", "scherzer2011c", "SSMW09", "sundstedt-2013-vag", "WALLNER-2010-CSSAO", "WIMMER-2009-VCCG", "ZL_2011_IVIG" ], "url": "https://www.cg.tuwien.ac.at/research/projects/GPV", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/", "__class": "Publication" }, { "id": "mattausch-2010-tao", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "High-Quality Screen-Space Ambient Occlusion using Temporal Coherence", "date": "2010-12", "abstract": "Ambient occlusion is a cheap but effective approximation of global illumination. Recently, screen-space ambient\nocclusion (SSAO) methods, which sample the frame buffer as a discretization of the scene geometry, have become\nvery popular for real-time rendering. We present temporal SSAO (TSSAO), a new algorithm which exploits\ntemporal coherence to produce high-quality ambient occlusion in real time. Compared to conventional SSAO,\nour method reduces both noise as well as blurring artifacts due to strong spatial filtering, faithfully representing\nfine-grained geometric structures. Our algorithm caches and reuses previously computed SSAO samples, and\nadaptively applies more samples and spatial filtering only in regions that do not yet have enough information\navailable from previous frames. The method works well for both static and dynamic scenes.", "authors_et_al": false, "substitute": null, "main_image": { "description": "ssao", "filetitle": "image-buddha", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 458, "image_height": 722, "name": "mattausch-2010-tao-image-buddha.png", "type": "image/png", "size": 994420, "path": "Publication:mattausch-2010-tao", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-image-buddha.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-image-buddha:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 326, "drupal_id": 338, "orcid_id": "0000-0001-9483-9904", "website": "https://www.cg.tuwien.ac.at/staff/OliverMattausch", "firstname": "Oliver", "lastname": "Mattausch", "searchname": "Oliver 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"2503", "volume": "29", "research_areas": [ { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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For example, interactively rendering a model containing hundreds of millions of polygons like the Boeing 777 model shown on the cover page is only possible when invisible parts of the model are \"culled\" away. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Amazingly, most approaches still have more or less serious issues that prevent their widespread use. Preprocessed visibility solutions attempt to solve the problem in an offline step, but are often slow, lack robustness, and are hard to implement. Online culling algorithms have a lot of potential since they can be used on arbitrary scenes, but they induce an overhead during rendering which is unacceptable for applications that strive for optimal performance. We believe that basic research problems remain unsolved until this day for preprocessed visibility as well as for online culling, and the goal of this project is to tackle and solve the majority of these problems. In order to do this, we have to gain more insight into the complex properties of visibility, which are still not entirely understood. Our proposed methods have applications in various fields, like game development, architectural design, urban visualization, or massive model visualization.
\r\n", "abstract": "Visibility culling is a fundamental problem of computer graphics, and is of crucial importance for many applications, like game development or architectural design. For example, interactively rendering a model containing hundreds of millions of polygons like the Boeing 777 model shown on the cover page is only possible when invisible parts of the model are \"culled\" away. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Amazingly, most approaches still have more or less serious issues that prevent their widespread use. Preprocessed visibility solutions attempt to solve the problem in an offline step, but are often slow, lack robustness, and are hard to implement. Online culling algorithms have a lot of potential since they can be used on arbitrary scenes, but they induce an overhead during rendering which is unacceptable for applications that strive for optimal performance. We believe that basic research problems remain unsolved until this day for preprocessed visibility as well as for online culling, and the goal of this project is to tackle and solve the majority of these problems. In order to do this, we have to gain more insight into the complex properties of visibility, which are still not entirely understood. Our proposed methods have applications in various fields, like game development, architectural design, urban visualization, or massive model visualization.
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To allow virtual objects to seamlessly blend into the real environment, the real lighting conditions and the mutual illumination effects between real and virtual objects must be considered, while maintaining interactive frame rates (20-30fps). The most important such effects are indirect illumination and shadows cast between real and virtual objects.\n\nOur approach combines Instant Radiosity and Differential Rendering. In contrast to some previous solutions, we only need to render the scene once in order to find the mutual effects of virtual and real scenes. The dynamic real illumination is derived from the image stream of a fish-eye lens camera. We describe a new method to assign virtual point lights to multiple primary light sources, which can be real or virtual. We use imperfect shadow maps for calculating illumination from virtual point lights and have significantly improved their accuracy by taking the surface normal of a shadow caster into account. Temporal coherence is exploited to reduce flickering artifacts. Our results show that the presented method highly improves the illusion in mixed reality applications and significantly diminishes the artificial look of virtual objects superimposed onto real scenes.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image0", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1019, "image_height": 763, "name": "knecht_martin_2010_DIR-image0.jpg", "type": "image/jpeg", "size": 461015, "path": "Publication:knecht_martin_2010_DIR", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image0.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image0:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 736, "drupal_id": 137, "orcid_id": null, 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Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. 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"werdermann-va", "WESSNER-2019-PCW", "wiesinger_2020_odpr", "wiesinger-2023-gcg", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-VCCG", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "Win25", "winklmueller-2025-ims", "wonka-2000-VisP", "Wonka-2001-Ins", "WONKA-2006-GVS", "x-mas-2013", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "zotti-2005-lum", "zotti-2006-pla", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "d9555", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "keywords": [ "Instant Radiosity", "Differential Rendering", "Real-time Global Illumination", "Mixed Reality" ], "weblinks": [], "files": { "0": { "description": null, "filetitle": "image0", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1019, "image_height": 763, "name": "knecht_martin_2010_DIR-image0.jpg", "type": "image/jpeg", "size": 461015, "path": "Publication:knecht_martin_2010_DIR", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image0.jpg", "thumb_image_sizes": 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"size": 8766976, "path": "Publication:knecht_martin_2010_DIR", "preview_name": "knecht_martin_2010_DIR-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 5344, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-Video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-Video:video.mp4" } }, "projects_workgroups": [ { "id": "RESHADE", "workgroup_id": "rend", "drupal_id": 4230, "drupal_path": "/research/projects/RESHADE", "name": "Reciprocal Shading for Mixed Reality", "name_de": null, "short_title": "RESHADE", "website": null, "status": "active", "short_abstract": "The aim of this project is to simulate the mutual influence between real and virtual objects in mixed reality applications.", "abstract": "The aim of the RESHADE project is to simulate the mutual influence between real and virtual objects in mixed reality applications. Virtual objects in such applications appear disturbingly artificial because rendering completely ignores the real environment. But from the term mixed reality one would expect that virtual and real object harmoniously blend into one visual perception and cannot be distinguished easily.
\r\n\r\nThe ambitious goal of this project is to provide users with a perfect illusion, so that they cannot perceive a difference between virtual and real objects. That means virtual objects are responsive to changes in the real environment in real time. They have to be rendered in a believable realistic way so that they smoothly blend with reality. It is also important to simulate the visual effects of virtual objects on real ones.
\r\n\r\nBesides for realistic rendering this technique can also be used for innovative ways of interaction and dynamic behaviour of virtual objects, which are key aspects of mixed reality.
\r\n\r\nResearch focuses on real time rendering algorithms for mixed reality applications that consider the lighting and geometry of the real environment. Special cameras will continuously capture reality. The real geometry will also be used to simulate effects of virtual objects on real ones in real time. Shading of real objects will be corrected by digital composition.
\r\n\r\nResearch results will be repeatedly evaluated in the course of the project within three different application scenarios. Thereby human perception is the sole key factor for assessment of the quality of the solution.
\r\n", "start_date": "2009-02-01", "end_date": "2013-01-31", "leader_id": 237, "logo": { "name": "logo.png", "path": "project:RESHADE", "type": "image/png", "size": 187528, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/RESHADE/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "FFF", "contract_number": "820916", "comment": "FIT-IT Visual Computing" } ], "research_areas": [ "Rendering" ], "publications": [ "celarek_adam-2012-rrmro", "jahrmann_klemens_KFR", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2011-CBCM", "KUE11", "laager_florian-2013-camr", "rasch_martina-2013-HDRImage", "spelitz_stefan-2012-CDTFMR", "stutter_david-2012-kft", "winklhofer_christoph-2013-RRMR" ], "url": "https://www.cg.tuwien.ac.at/research/projects/RESHADE", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/", "__class": "Publication" }, { "id": "Mattausch-2010-vcr", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Visibility Computations for Real-Time Rendering in General 3D Environments", "date": "2010-04", "abstract": "Visibility computations are essential operations in computer graphics, which\nare required for rendering acceleration in the form of visibility culling, as well as for computing realistic lighting. Visibility culling, which is the main focus of this thesis, aims to provide output sensitivity by sending only visible primitives to the hardware. Regardless of the rapid development of graphics hardware, it is of crucial importance for many applications like game development or architectural design, as the demands on the hardware regarding scene complexity increase accordingly. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Interestingly, there are\nstill open research problems up to this day, and many algorithms are either impractical or only usable for specific scene configurations, preventing their widespread use. Visibility culling algorithms can be separated into algorithms for visibility preprocessing and online occlusion culling. Visibility computations are also required to solve complex lighting interactions in the scene, ranging from soft and hard shadows to ambient occlusion and full fledged global illumination. It is a big challenge to answer hundreds or thousands of visibility queries within a fraction\nof a second in order to reach real-time frame rates, which is one goal that we want to achieve in this thesis. The contribution of this thesis are four novel algorithms that provide solutions\nfor efficient visibility interactions in order to achieve high-quality output-sensitive real-time rendering, and are general in the sense that they work with any kind of 3D scene configuration. First we present two methods dealing with the issue of\nautomatically partitioning view space and object space into useful entities that are optimal for the subsequent visibility computations. Amazingly, this problem area was mostly ignored despite its importance, and view cells are mostly tweaked by hand in practice in order to reach optimal performance – a very time consuming task. The first algorithm specifically deals with the creation of an optimal view space partition into view cells using a cost heuristics and sparse visibility sampling. The second algorithm extends this approach to optimize both view space subdivision and object space subdivision simultaneously. Next we present a hierarchical online culling algorithm that eliminates most limitations of previous approaches, and is rendering engine friendly in the sense that it allows easy integration\nand efficient material sorting. It reduces the main problem of previous\nalgorithms – the overhead due to many costly state changes and redundant hardware occlusion queries – to a minimum, obtaining up to three times speedup over previous work. At last we present an ambient occlusion algorithm which works in screen space, and show that high-quality shading with effectively hundreds of samples per pixel is possible in real time for both static and dynamic scenes by utilizing temporal coherence to reuse samples from previous frames.", "authors_et_al": false, "substitute": null, "main_image": { "description": "temporal ssao on stanford dragon", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "Mattausch-2010-vcr-image.png", "type": "image/png", "size": 2363943, "path": "Publication:Mattausch-2010-vcr", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-image:thumb{{size}}.png" }, "sync_repositum_override": null, 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"https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=193", "__class": "Author" } ], "research_areas": [ { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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For example, interactively rendering a model containing hundreds of millions of polygons like the Boeing 777 model shown on the cover page is only possible when invisible parts of the model are \"culled\" away. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Amazingly, most approaches still have more or less serious issues that prevent their widespread use. Preprocessed visibility solutions attempt to solve the problem in an offline step, but are often slow, lack robustness, and are hard to implement. Online culling algorithms have a lot of potential since they can be used on arbitrary scenes, but they induce an overhead during rendering which is unacceptable for applications that strive for optimal performance. 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"Seoul, Südkorea", "research_areas": [ { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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"bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "bodzenta-2026-baa", "Bogner-2008-MTh", "boindl_2013", "BOKSANSKY-2019-RTS", "BORZA-2012-Stellarium", "brandmair-2024-bind", "brandmair-2024-rust", "brandmair-2025-rub", "Brandorff_06_PON", "Brandorff_06_SKIN", "brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deak-a3", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Derflinger-2024-RTTW", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", "Druml-2013-3DrC", "dusberger-2010-msm", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "eibensteiner-2016-pmg", "eibensteiner-2021-pmcg", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "ioannis-2026-sro", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "machacek_christian-2026-prj", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-2026-sor", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "mayer_luiz-2026-baa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "perzi_marvin-2026-baa", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "rasoulzadeh-2025-archcomplete", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "resch_martin-2026-baa", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", 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"WALLNER-2010-CSSAO", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=326", "__class": "Author" } ], "isbn": "978-3-8381-1887-1", "pages": "212", "publisher": "Suedwestdeutscher Verlag fuer Hochschulschriften", "research_areas": [ { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. 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"zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "d9555", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "keywords": [ "real-time rendering", "occlusion culling ", "ambient occlusion", "visibility" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "mattausch-2010-var-.png", "type": "image/png", "size": 2363943, "path": "Publication:mattausch-2010-var", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-var/mattausch-2010-var-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-var/mattausch-2010-var-:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "GPV", "workgroup_id": "rend", "drupal_id": 4242, "drupal_path": "/research/projects/GPV", "name": "General Purpose Visibility", "name_de": null, "short_title": "GPV", "website": null, "status": "active", "short_abstract": "Visibility culling is a fundamental problem of computer graphics, and is of crucial importance for many applications, like game development or architectural design. For example, interactively rendering a model containing hundreds of millions of polygons like the Boeing 777 model shown on the cover page is only possible when invisible parts of the model are \"culled\" away. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Amazingly, most approaches still have more or less serious issues that prevent their widespread use. Preprocessed visibility solutions attempt to solve the problem in an offline step, but are often slow, lack robustness, and are hard to implement. Online culling algorithms have a lot of potential since they can be used on arbitrary scenes, but they induce an overhead during rendering which is unacceptable for applications that strive for optimal performance. We believe that basic research problems remain unsolved until this day for preprocessed visibility as well as for online culling, and the goal of this project is to tackle and solve the majority of these problems. In order to do this, we have to gain more insight into the complex properties of visibility, which are still not entirely understood. Our proposed methods have applications in various fields, like game development, architectural design, urban visualization, or massive model visualization.
\r\n", "abstract": "Visibility culling is a fundamental problem of computer graphics, and is of crucial importance for many applications, like game development or architectural design. For example, interactively rendering a model containing hundreds of millions of polygons like the Boeing 777 model shown on the cover page is only possible when invisible parts of the model are \"culled\" away. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Amazingly, most approaches still have more or less serious issues that prevent their widespread use. Preprocessed visibility solutions attempt to solve the problem in an offline step, but are often slow, lack robustness, and are hard to implement. Online culling algorithms have a lot of potential since they can be used on arbitrary scenes, but they induce an overhead during rendering which is unacceptable for applications that strive for optimal performance. We believe that basic research problems remain unsolved until this day for preprocessed visibility as well as for online culling, and the goal of this project is to tackle and solve the majority of these problems. In order to do this, we have to gain more insight into the complex properties of visibility, which are still not entirely understood. Our proposed methods have applications in various fields, like game development, architectural design, urban visualization, or massive model visualization.
\r\n", "start_date": "2008-05-01", "end_date": "2011-04-30", "leader_id": 193, "logo": { "name": "logo.png", "path": "project:GPV", "type": "image/png", "size": 335472, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/GPV/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P21130-N13", "comment": null } ], "research_areas": [ "Rendering" ], "publications": [ "beham_2009.2009-EVS", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "druml-2010-PFL", "ERNST-2010-IOOC", "knecht-2009-TAS", "matt2011", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MAYER-2010-MTX", "praeauer-2011-et", "radax-2010-RTL", "radits_2011_gahdr", "REINALTER_2010_VIS", "scherzer2011c", "SSMW09", "sundstedt-2013-vag", "WALLNER-2010-CSSAO", "WIMMER-2009-VCCG", "ZL_2011_IVIG" ], "url": "https://www.cg.tuwien.ac.at/research/projects/GPV", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-var/", "__class": "Publication" }, { "id": "SSMW09", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Real-Time Soft Shadows Using Temporal Coherence", "date": "2009-12", "abstract": "A vast amount of soft shadow map algorithms have been presented in recent years. Most use a single sample hard shadow map together with some clever filtering technique to calculate perceptually or even physically plausible soft shadows. \n\nOn the other hand there is the class of much slower algorithms that calculate physically correct soft shadows by taking and combining many samples of the light.\n\nIn this paper we present a new soft shadow method that combines the benefits of these approaches. It samples the light source over multiple frames instead of a single frame, creating only a single shadow map each frame. Where temporal coherence is low we use spatial filtering to estimate additional samples to create correct and very fast soft shadows.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1200, "name": "SSMW09-teaser.png", "type": "image/png", "size": 1927290, "path": "Publication:SSMW09", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 452, "drupal_id": 235, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/DanielScherzer", "firstname": "Daniel", "lastname": "Scherzer", "searchname": "Daniel Scherzer", "is_teacher": false, 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"ordernum": 1 }, { "publ_id": "SSMW09", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Stingl_2011_RHS", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Wenigwieser2007", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=452", "__class": "Author" } ], "location": "Las Vegas, Nevada, USA", "pages_from": "13", "pages_to": "24", "publisher": "Springer", "series": "Lecture Notes in Computer Science", "research_areas": [ { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "GPV", "workgroup_id": "rend", "drupal_id": 4242, "drupal_path": "/research/projects/GPV", "name": "General Purpose Visibility", "name_de": null, "short_title": "GPV", "website": null, "status": "active", "short_abstract": "Visibility culling is a fundamental problem of computer graphics, and is of crucial importance for many applications, like game development or architectural design. For example, interactively rendering a model containing hundreds of millions of polygons like the Boeing 777 model shown on the cover page is only possible when invisible parts of the model are \"culled\" away. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Amazingly, most approaches still have more or less serious issues that prevent their widespread use. Preprocessed visibility solutions attempt to solve the problem in an offline step, but are often slow, lack robustness, and are hard to implement. Online culling algorithms have a lot of potential since they can be used on arbitrary scenes, but they induce an overhead during rendering which is unacceptable for applications that strive for optimal performance. We believe that basic research problems remain unsolved until this day for preprocessed visibility as well as for online culling, and the goal of this project is to tackle and solve the majority of these problems. In order to do this, we have to gain more insight into the complex properties of visibility, which are still not entirely understood. Our proposed methods have applications in various fields, like game development, architectural design, urban visualization, or massive model visualization.
\r\n", "abstract": "Visibility culling is a fundamental problem of computer graphics, and is of crucial importance for many applications, like game development or architectural design. For example, interactively rendering a model containing hundreds of millions of polygons like the Boeing 777 model shown on the cover page is only possible when invisible parts of the model are \"culled\" away. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Amazingly, most approaches still have more or less serious issues that prevent their widespread use. Preprocessed visibility solutions attempt to solve the problem in an offline step, but are often slow, lack robustness, and are hard to implement. Online culling algorithms have a lot of potential since they can be used on arbitrary scenes, but they induce an overhead during rendering which is unacceptable for applications that strive for optimal performance. We believe that basic research problems remain unsolved until this day for preprocessed visibility as well as for online culling, and the goal of this project is to tackle and solve the majority of these problems. In order to do this, we have to gain more insight into the complex properties of visibility, which are still not entirely understood. Our proposed methods have applications in various fields, like game development, architectural design, urban visualization, or massive model visualization.
\r\n", "start_date": "2008-05-01", "end_date": "2011-04-30", "leader_id": 193, "logo": { "name": "logo.png", "path": "project:GPV", "type": "image/png", "size": 335472, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/GPV/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P21130-N13", "comment": null } ], "research_areas": [ "Rendering" ], "publications": [ "beham_2009.2009-EVS", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "druml-2010-PFL", "ERNST-2010-IOOC", "knecht-2009-TAS", "matt2011", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MAYER-2010-MTX", "praeauer-2011-et", "radax-2010-RTL", "radits_2011_gahdr", "REINALTER_2010_VIS", "scherzer2011c", "SSMW09", "sundstedt-2013-vag", "WALLNER-2010-CSSAO", "WIMMER-2009-VCCG", "ZL_2011_IVIG" ], "url": "https://www.cg.tuwien.ac.at/research/projects/GPV", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/", "__class": "Publication" }, { "id": "BITTNER-2009-AGVS", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Adaptive Global Visibility Sampling", "date": "2009-08", "abstract": "In this paper we propose a global visibility algorithm which computes from-region visibility for all view cells simultaneously in a progressive manner. We cast rays to sample visibility interactions and use the information carried by a ray for all view cells it intersects. The main contribution of the paper is a set of adaptive sampling strategies based on ray mutations that exploit the spatial coherence of visibility. Our method achieves more than an order of magnitude speedup compared to per-view cell sampling. This provides a practical solution to visibility preprocessing and also enables a new type of interactive visibility analysis application, where it is possible to quickly inspect and modify a coarse global visibility solution that is constantly refined.\n", "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": 729, "name": "BITTNER-2009-AGVS-.jpg", "type": "image/jpeg", "size": 468604, "path": "Publication:BITTNER-2009-AGVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 198, "drupal_id": 299, "orcid_id": 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subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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"FRAISS-2017-PCU", "FRAISS-2022-CGMM", "freude_2020_rs", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "GAMPER-2018-OSG", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "gersthofer_2017_COP", "geyer-2018-apbf", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "gramegna-rfr", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "Groeller_2016_P3", "Grossfurtner-2023-paego", "Gruber2019", "guerrero-2008-sli", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "HAFNER-2015-FEM", "HANN_2022_IPT", "hasbay-2026-tfo", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "hecher-2012-MH", "hecher-2014-MH", "heinz-2019-psi", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", 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"KOCH-2021-GVS", "KOCH-2021-GVSDA", "KOEPPEL-2025-Nearfield", "Koeppl-2023-DLO", "Komon2022", "Konev-FCV2018", "Kovacs_2017", "kovacs-2025-pf", "KREUZER-2015-DPA", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-ThesisFF", "KROESL-2020-SVI", "kroesl-2020-XREye", "KUE11", "Kugler-2021", "Lan25", "leopold-2019-vox", "Liang-2023-TVR", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "Mazza_2021_05", "Meier_2024_WIALT", "MEINDL-2015-OSR", "metzger-2024-smv", "mindek-2017-marion", "mindek-xmas-card-2016", "murturi_PGG", "muth-2026-clouds", "neumann-2006-gamma", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "panfili-2019-VAVR", "panfili-2021-myop", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "PETER-2023-PSW", "pichler_2022_fro", "pirraku-f", "pistellato-2023-elp", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "preiner_2010_GIPC", "preiner_2017_phd", "preiner11IR", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "probst-2023-para", "prost-2016-molecule", "PROST-2017-RTL", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "radax-2008-ir", "Rainer_2017", "Rait2022", "Reisner_Irene_2013_R3D", "reznicek-2020-fpgaray", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "schedl-2012-dof", "schedl-2013-gP4", "SCHEIBLAUER-2015-WFC", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "SCHOBER-2006-IVSA", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2019-PCC", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuetz-mb", "schwaerzler_2018_phd", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "Schwengerer_Mathias-2022-BGL", 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"werdermann-va", "WESSNER-2019-PCW", "wiesinger_2020_odpr", "wiesinger-2023-gcg", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-VCCG", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "Win25", "winklmueller-2025-ims", "wonka-2000-VisP", "Wonka-2001-Ins", "WONKA-2006-GVS", "x-mas-2013", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "zotti-2005-lum", "zotti-2006-pla", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", 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applications, like game development or architectural design. For example, interactively rendering a model containing hundreds of millions of polygons like the Boeing 777 model shown on the cover page is only possible when invisible parts of the model are \"culled\" away. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Amazingly, most approaches still have more or less serious issues that prevent their widespread use. Preprocessed visibility solutions attempt to solve the problem in an offline step, but are often slow, lack robustness, and are hard to implement. Online culling algorithms have a lot of potential since they can be used on arbitrary scenes, but they induce an overhead during rendering which is unacceptable for applications that strive for optimal performance. We believe that basic research problems remain unsolved until this day for preprocessed visibility as well as for online culling, and the goal of this project is to tackle and solve the majority of these problems. In order to do this, we have to gain more insight into the complex properties of visibility, which are still not entirely understood. Our proposed methods have applications in various fields, like game development, architectural design, urban visualization, or massive model visualization.
\r\n", "abstract": "Visibility culling is a fundamental problem of computer graphics, and is of crucial importance for many applications, like game development or architectural design. For example, interactively rendering a model containing hundreds of millions of polygons like the Boeing 777 model shown on the cover page is only possible when invisible parts of the model are \"culled\" away. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Amazingly, most approaches still have more or less serious issues that prevent their widespread use. Preprocessed visibility solutions attempt to solve the problem in an offline step, but are often slow, lack robustness, and are hard to implement. Online culling algorithms have a lot of potential since they can be used on arbitrary scenes, but they induce an overhead during rendering which is unacceptable for applications that strive for optimal performance. We believe that basic research problems remain unsolved until this day for preprocessed visibility as well as for online culling, and the goal of this project is to tackle and solve the majority of these problems. In order to do this, we have to gain more insight into the complex properties of visibility, which are still not entirely understood. Our proposed methods have applications in various fields, like game development, architectural design, urban visualization, or massive model visualization.
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The method reduces the number of required state changes and should integrate easily with most game engines. The key ideas are batching of the queries and interfacing with the game engine using a dedicated render queue. We also present some additional optimizations which reduce the number of queries issued as well as the number of rendered primitives. The algorithm is based on the well-known Coherent Hierarchical Culling algorithm.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 853, "name": "BITTNER-2009-GEFOC-image.png", "type": "image/png", "size": 95229, "path": "Publication:BITTNER-2009-GEFOC", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-GEFOC/BITTNER-2009-GEFOC-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-GEFOC/BITTNER-2009-GEFOC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 198, "drupal_id": 299, "orcid_id": "0000-0002-5818-934X", "website": "https://www.cg.tuwien.ac.at/staff/JiríBittner", "firstname": "Jirí", "lastname": "Bittner", "searchname": "Jirí Bittner", 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Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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problem of computer graphics, and is of crucial importance for many applications, like game development or architectural design. For example, interactively rendering a model containing hundreds of millions of polygons like the Boeing 777 model shown on the cover page is only possible when invisible parts of the model are \"culled\" away. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Amazingly, most approaches still have more or less serious issues that prevent their widespread use. Preprocessed visibility solutions attempt to solve the problem in an offline step, but are often slow, lack robustness, and are hard to implement. Online culling algorithms have a lot of potential since they can be used on arbitrary scenes, but they induce an overhead during rendering which is unacceptable for applications that strive for optimal performance. We believe that basic research problems remain unsolved until this day for preprocessed visibility as well as for online culling, and the goal of this project is to tackle and solve the majority of these problems. In order to do this, we have to gain more insight into the complex properties of visibility, which are still not entirely understood. Our proposed methods have applications in various fields, like game development, architectural design, urban visualization, or massive model visualization.
\r\n", "abstract": "Visibility culling is a fundamental problem of computer graphics, and is of crucial importance for many applications, like game development or architectural design. For example, interactively rendering a model containing hundreds of millions of polygons like the Boeing 777 model shown on the cover page is only possible when invisible parts of the model are \"culled\" away. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Amazingly, most approaches still have more or less serious issues that prevent their widespread use. Preprocessed visibility solutions attempt to solve the problem in an offline step, but are often slow, lack robustness, and are hard to implement. Online culling algorithms have a lot of potential since they can be used on arbitrary scenes, but they induce an overhead during rendering which is unacceptable for applications that strive for optimal performance. We believe that basic research problems remain unsolved until this day for preprocessed visibility as well as for online culling, and the goal of this project is to tackle and solve the majority of these problems. In order to do this, we have to gain more insight into the complex properties of visibility, which are still not entirely understood. Our proposed methods have applications in various fields, like game development, architectural design, urban visualization, or massive model visualization.
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The algorithm significantly improves on previous techniques by making better use of temporal and spatial coherence of visibility. This is achieved by using adaptive visibility prediction and query batching. As a result of the new optimizations the number of issued occlusion queries and the number of rendering state changes are significantly reduced. We also propose a simple method for determining tighter bounding volumes for occlusion queries and a method which further reduces the pipeline stalls. The proposed method provides up to an order of magnitude speedup over the previous state of the art. 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Currently two main\nsensorial channels are exploited in VEs: visual and auditory, although sound is greatly underused.\nThe ever-increasing scene complexity of VEs means that it is currently not possible to display\nhighly realistic scenes in real time despite the availability of modern high-performance graphics and\naudio processors. However, the realism and quality of a virtual image/sound needs to be as good as\nwhat the user can perceive: we only need to display what is necessary. Despite recent research in\npsychology, little work exists on cross-modal effects, i.e., the effects that each channel (visual and\nauditory) has on the other, to improve the efficiency and quality of VEs. CROSSMOD will study\nthese effects and develop a better understanding of how perceptual issues affect auditory/visual\ndisplay; this understanding will lead to the development of novel algorithms for selectively\nrendering VEs. The cross-modal effects studied will include the effect of spatial/latency congruence\non quality perception, attention-control, sound-induced changes in visual perception and\nfoveal/peripheral audiovisual effects. The research will be guided by its applicability to the\nimprovement of VE display and VE authoring. The solutions developed by CROSSMOD will\nenable the display of perceptually highly realistic environments in real time even for very complex\nscenes, as well as the use of active cross-modal effects such as attention control in the display and\nauthoring of VEs. An integrated software cross-modal manager will be developed, using results of\nexperiments identifying which cross-modal effects are useful for VE display. We will evaluate our\napproach on three target applications: computer games, design/architecture and clinical psychiatry,\nusing platforms adapted to each application: PCs with audio/graphics cards, a projector-enhanced\n“personal VE” setup and large-screen immersive VE systems.", "start_date": "2005-12-01", "end_date": "2008-12-31", "leader_id": 193, "logo": { "name": "logo.png", "path": "project:CROSSMOD", "type": "image/png", "size": 24255, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/CROSSMOD/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "EU_IST_6th", "contract_number": null, "comment": null } ], "research_areas": [ "Perception" ], "publications": [ "bernhard-2011-bmtf", "GRELAUD-2009-EPA", "labschuetz-2010-bms", "labschuetz-2011-rsr", "mattausch-2008-CHC", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "SUNDSTEDT-2008-ASF" ], "url": "https://www.cg.tuwien.ac.at/research/projects/CROSSMOD", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/", "__class": "Publication" }, { "id": "MATTAUSCH-2007-OSP", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Optimized Subdivisions for Preprocessed Visibility", "date": "2007-05", "abstract": "This paper describes a new tool for preprocessed visibility. It puts together view space and object space partitioning in order to control the render cost and memory cost of the visibility description generated by a visibility solver. The presented method progressively refines view space and object space subdivisions while minimizing the associated render and memory costs. Contrary to previous techniques, both subdivisions are driven by actual visibility information. 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Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. 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"zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "d9555", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "keywords": [ "visibility preprocessing", "potentially visible sets", "view cells" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 735, "image_height": 880, "name": "MATTAUSCH-2007-OSP-.png", "type": "image/png", "size": 210985, "path": "Publication:MATTAUSCH-2007-OSP", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/MATTAUSCH-2007-OSP/MATTAUSCH-2007-OSP-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": 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"https://www.cg.tuwien.ac.at/research/publications/2007/MATTAUSCH-2007-OSP/MATTAUSCH-2007-OSP-Preprint:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "GameTools", "workgroup_id": "rend", "drupal_id": 4269, "drupal_path": "/research/projects/GameTools", "name": "GameTools", "name_de": null, "short_title": "GameTools", "website": null, "status": "active", "short_abstract": "The GameTools Project (GTP) researches and implements next generation realtime 3D Libraries for Geometry/Plants, Visibility and Global Illumination under C++/DirectX9. Platforms: OGRE for PC and Shark3D middleware for PC & consoles.", "abstract": "Research and creation of next generation Realtime 3D Libraries for Geometry/Plants, Visibility and Global Illumination is the agenda of the EU GameTools Project. The GTP brings together leading computer graphics experts from Austria, France, Hungary and Spain with European industrial partners from the fields of computer game development and virtual reality. The C++/DirectX 9 libraries are being created for the OGRE 3D engine, with videogame console support (Xbox, PS2, Xbox 360, PS3) through the commercial Shark3D middleware engine.\n\nAdditional indurtrial partners can get preliminary access to the techology by becoming members of the GTP Special Interest Group.", "start_date": "2004-10-01", "end_date": "2007-06-30", "leader_id": 193, "logo": { "name": "logo.png", "path": "project:GameTools", "type": "image/png", "size": 157170, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/GameTools/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "EU_IST_6th", "contract_number": null, "comment": null } ], "research_areas": [ "Geometry", "Rendering" ], "publications": [ "bittner-2005-egsr", "CHARALAMBOS-2007-HLOD", "CHIU-2008-PEN", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "havran-2005-egsr", "havran-2006-tut", "jeschke-05-AIP", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "TR-186-2-06-02", "vis-foa", "Wimmer-2005-HOQ", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WONKA-2006-GVS" ], "url": "https://www.cg.tuwien.ac.at/research/projects/GameTools", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/MATTAUSCH-2007-OSP/", "__class": "Publication" }, { "id": "mattausch-2007-iav", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "1.\tAdaptive Visibility-Driven View Cell Construction", "date": "2007", "abstract": "We present a new method for the automatic partitioning of view space into a multi-level view cell hierarchy. We use a cost-based model in order to minimize the average rendering time. Unlike previous methods, our model\ntakes into account the actual visibility in the scene, and the partition is not restricted to planes given by the scene geometry. We show that the resulting view cell hierarchy works for different types of scenes and gives lower average rendering time than previously used methods.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 326, "drupal_id": 338, "orcid_id": "0000-0001-9483-9904", "website": "https://www.cg.tuwien.ac.at/staff/OliverMattausch", "firstname": "Oliver", "lastname": "Mattausch", "searchname": "Oliver Mattausch", "is_teacher": false, "name": "Oliver Mattausch", "publications": [ "2011scherzerE", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "hecher-2014-MH", "knecht_martin_2010_DIR", "knecht_martin_2012_RSMR", "matt-masterthesis", "matt2011", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "preiner2014clop", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer2010d", "scherzer2011c", "SCHWAERZLER-2012-FAS", "SSMW09", "Theussl-2002-RSH" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "beham_2009.2009-EVS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "BITTNER-2009-AGVS", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "druml-2010-PFL", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "ERNST-2010-IOOC", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Knecht_Schwaerzler_2008_ash", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "knecht-2009-MKN", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "knecht-2009-TAS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "luksch_2008_asm", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2006-AVC", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2007-OSP", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "mattausch-2008-CHC", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2012-TIS", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2013-FSBE", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2015-CHCRT", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MAYER-2010-MTX", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "radax-2010-RTL", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Selig_2005_WRO", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "WALLNER-2010-CSSAO", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=326", "__class": "Author" } ], "date_from": "2007-12", "event": "Konversatorium", "location": "Prague University of Technology", "research_areas": [ { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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"zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "d9555", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "keywords": [ "visibiility", "view cells" ], "weblinks": [], "files": [], "projects_workgroups": [ { "id": "GameTools", "workgroup_id": "rend", "drupal_id": 4269, "drupal_path": "/research/projects/GameTools", "name": "GameTools", "name_de": null, "short_title": "GameTools", "website": null, "status": "active", "short_abstract": "The GameTools Project (GTP) researches and implements next generation realtime 3D Libraries for Geometry/Plants, Visibility and Global Illumination under C++/DirectX9. Platforms: OGRE for PC and Shark3D middleware for PC & consoles.", "abstract": "Research and creation of next generation Realtime 3D Libraries for Geometry/Plants, Visibility and Global Illumination is the agenda of the EU GameTools Project. The GTP brings together leading computer graphics experts from Austria, France, Hungary and Spain with European industrial partners from the fields of computer game development and virtual reality. The C++/DirectX 9 libraries are being created for the OGRE 3D engine, with videogame console support (Xbox, PS2, Xbox 360, PS3) through the commercial Shark3D middleware engine.\n\nAdditional indurtrial partners can get preliminary access to the techology by becoming members of the GTP Special Interest Group.", "start_date": "2004-10-01", "end_date": "2007-06-30", "leader_id": 193, "logo": { "name": "logo.png", "path": "project:GameTools", "type": "image/png", "size": 157170, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/GameTools/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "EU_IST_6th", "contract_number": null, "comment": null } ], "research_areas": [ "Geometry", "Rendering" ], "publications": [ "bittner-2005-egsr", "CHARALAMBOS-2007-HLOD", "CHIU-2008-PEN", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "havran-2005-egsr", "havran-2006-tut", "jeschke-05-AIP", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "TR-186-2-06-02", "vis-foa", "Wimmer-2005-HOQ", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WONKA-2006-GVS" ], "url": "https://www.cg.tuwien.ac.at/research/projects/GameTools", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/mattausch-2007-iav/", "__class": "Publication" }, { "id": "MATTAUSCH-2006-AVC", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Adaptive Visibility-Driven View Cell Construction", "date": "2006-06", "abstract": "We present a new method for the automatic partitioning of view space into a multi-level view cell hierarchy. We use a cost-based model in order to minimize the average rendering time. Unlike previous methods, our model\ntakes into account the actual visibility in the scene, and the partition is not restricted to planes given by the scene geometry. We show that the resulting view cell hierarchy works for different types of scenes and gives lower average rendering time than previously used methods.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 788, "image_height": 652, "name": "MATTAUSCH-2006-AVC-.png", "type": "image/png", "size": 12026, "path": "Publication:MATTAUSCH-2006-AVC", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 326, "drupal_id": 338, "orcid_id": "0000-0001-9483-9904", "website": "https://www.cg.tuwien.ac.at/staff/OliverMattausch", "firstname": "Oliver", 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"field_id": "supervisor", "ordernum": 1 }, { "publ_id": "zsolnai-feher-thesis-2019", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=193", "__class": "Author" } ], "booktitle": "Rendering Techniques 2006 (Proceedings Eurographics Symposium on Rendering)", "date_from": "2006-06-26", "date_to": "2006-06-28", "editor": "Wolfgang Heidrich and Tomas Akenine-Moller", "isbn": "3-90567-335-5", "lecturer": [ { "id": 326, "drupal_id": 338, "orcid_id": "0000-0001-9483-9904", "website": "https://www.cg.tuwien.ac.at/staff/OliverMattausch", "firstname": "Oliver", "lastname": "Mattausch", "searchname": "Oliver Mattausch", "is_teacher": false, "name": "Oliver Mattausch", "publications": [ "2011scherzerE", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "hecher-2014-MH", "knecht_martin_2010_DIR", "knecht_martin_2012_RSMR", "matt-masterthesis", "matt2011", "Mattausch-2003-ISL", "Mattausch-2003-SIE", 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Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. 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Platforms: OGRE for PC and Shark3D middleware for PC & consoles.", "abstract": "Research and creation of next generation Realtime 3D Libraries for Geometry/Plants, Visibility and Global Illumination is the agenda of the EU GameTools Project. The GTP brings together leading computer graphics experts from Austria, France, Hungary and Spain with European industrial partners from the fields of computer game development and virtual reality. The C++/DirectX 9 libraries are being created for the OGRE 3D engine, with videogame console support (Xbox, PS2, Xbox 360, PS3) through the commercial Shark3D middleware engine.\n\nAdditional indurtrial partners can get preliminary access to the techology by becoming members of the GTP Special Interest Group.", "start_date": "2004-10-01", "end_date": "2007-06-30", "leader_id": 193, "logo": { "name": "logo.png", "path": "project:GameTools", "type": "image/png", "size": 157170, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/GameTools/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "EU_IST_6th", "contract_number": null, "comment": null } ], "research_areas": [ "Geometry", "Rendering" ], "publications": [ "bittner-2005-egsr", "CHARALAMBOS-2007-HLOD", "CHIU-2008-PEN", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "havran-2005-egsr", "havran-2006-tut", "jeschke-05-AIP", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "TR-186-2-06-02", "vis-foa", "Wimmer-2005-HOQ", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WONKA-2006-GVS" ], "url": "https://www.cg.tuwien.ac.at/research/projects/GameTools", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/", "__class": "Publication" }, { "id": "matt-masterthesis", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Practical Reconstruction Schemes and Hardware-Accelerated Direct Volume Rendering on Body-Centered Cubic Grids", "date": "2004-05", "abstract": "It is well known in the signal-processing community that the Body-Centered Cubic grid is the\r\noptimal sampling grid in 3D. In volume visualization, the Cartesian grid is by far the most popular\r\ntype of grid because it is convenient to handle. But it requires 29.3% more samples than\r\nthe Body-Centered Cubic grid. In order to convince people used to Cartesian grids for years of\r\nthe advantages of Body-Centered Cubic grids, we must prove their usability in many different\r\nvolume rendering algorithms. Further we have to show that we get a performance gain without\r\nor with only slight loss of image quality compared to Cartesian grids. Therefore we introduce\r\nseveral practical reconstruction schemes on Body-Centered Cubic grids, which are very general\r\nand can be used in a number of applications and tasks.\r\nTogether with the development of powerful and flexible consumer graphics hardware, interactive\r\nhardware-accelerated volume rendering algorithms gain popularity. Rendering performance\r\nbecomes a big issue, which can be a strong argument in favour of Body-Centered Cubic\r\ngrids. We adapted some of the most popular volume rendering approaches exploiting hardwareacceleration\r\nto Body-Centered Cubic grids: both 2D and 3D texture-based volume rendering\r\nand the projected tetrahedra algorithm. At least partly we succeeded in achieving a performance\r\ngain on our new grid and further produced some impressive rendering results comparable to the\r\nCartesian grid version.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 513, "image_height": 512, "name": "matt-masterthesis-image.jpg", "type": "image/jpeg", "size": 26831, "path": "Publication:matt-masterthesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/matt-masterthesis/matt-masterthesis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/matt-masterthesis/matt-masterthesis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 326, "drupal_id": 338, "orcid_id": "0000-0001-9483-9904", "website": "https://www.cg.tuwien.ac.at/staff/OliverMattausch", "firstname": "Oliver", "lastname": "Mattausch", "searchname": "Oliver Mattausch", "is_teacher": false, "name": "Oliver Mattausch", "publications": [ "2011scherzerE", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "hecher-2014-MH", "knecht_martin_2010_DIR", "knecht_martin_2012_RSMR", "matt-masterthesis", "matt2011", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "preiner2014clop", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer2010d", "scherzer2011c", "SCHWAERZLER-2012-FAS", "SSMW09", "Theussl-2002-RSH" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "beham_2009.2009-EVS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "BITTNER-2009-AGVS", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "druml-2010-PFL", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "ERNST-2010-IOOC", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Knecht_Schwaerzler_2008_ash", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "knecht-2009-MKN", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "knecht-2009-TAS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "luksch_2008_asm", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2006-AVC", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2007-OSP", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "mattausch-2008-CHC", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2012-TIS", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2013-FSBE", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2015-CHCRT", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MAYER-2010-MTX", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "radax-2010-RTL", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Selig_2005_WRO", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "WALLNER-2010-CSSAO", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=326", "__class": "Author" } ], "note": "1", "supervisor": [ { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", 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"groeller-1994-ext", "Groeller-1994-HIS", "groeller-1994-hyper", "Groeller-1994-IDN", "groeller-1994-int", "Groeller-1994-ITV", "groeller-1994-mod", "Groeller-1994-MRN", "groeller-1994-tech", "groeller-1994-vis", "groeller-1995-appl", "groeller-1995-attract", "Groeller-1995-CCG", "groeller-1995-dyn", "Groeller-1995-GOW", "Groeller-1995-IED", "groeller-1995-inter", "groeller-1995-lok", "groeller-1995-mod", "groeller-1995-non", "Groeller-1995-SDC", "groeller-1995-vis", "groeller-1996-ACE", "groeller-1996-avn", "Groeller-1998-TunVis", "Groeller-1998-VAD", "Groeller-1998-VDS", "Groeller-1999-Dat", "Groeller-1999-Vis", "Groeller-2000-Vis", "Groeller-2001-IDV", "groeller-2002-anw", "Groeller-2002-Ins", "groeller-2002-med", "groeller-2002-wiss", "groeller-2003-fea", "groeller-2003-med", "groeller-2003-scie", "groeller-2003-vol", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-abs", "groeller-2005-dia", "groeller-2005-foc", "groeller-2005-imp", 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"huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "irger-2023-ves", "Ismail-2018", "jank-2022-cbf", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "kapferer-2017-godot", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "keglevic_schulz-2011-MB", "Kehrer-2008-hyp", "Kehrer-2010-mom", "kehrer-2011-vai", "kehrer-2012-mod", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2013-STAR", "Kehrer-2014-CSD", "kerbl-2024-ah3", "kimmersdorfer-fancyMaps-2023", "Kinkelin_2009", "Kinkelin-2011-VR", "Klaus2024", "Kleber-2004-TFE", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "Klein_Tobias_2015TIV", "klein-thesis", "Knapp_2017_CVR", "knapp_michael_2004_MAS", "knapp-2004-semi", "koch_bernhard_2018-1", "koch-2018-sso", "koehle-2013-sgv", "koeppel-2021", "Koeppel2020", 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"Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rozana-2026-vcfd", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", 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"TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", 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"wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Mattausch-2003-Str/", "__class": "Publication" }, { "id": "Mattausch-2003-SIE", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Strategies for Interactive Exploration of 3D Flow Using Evenly-Spaced Illuminated Streamlines", "date": "2003-04", "abstract": "This paper presents several strategies to\r\ninteractively explore 3D flow. Based on a fast\r\nilluminated streamlines algorithm, standard graphics\r\nhardware is sufficient to gain interactive rendering\r\nrates. Our approach does not require the user to\r\nhave any prior knowledge of flow features. After the\r\nstreamlines are computed in a short preprocessing\r\ntime, the user can interactively change appearance\r\nand density of the streamlines to further explore the\r\nflow. Most important flow features like velocity or\r\npressure not only can be mapped to all available\r\nstreamline appearance properties like streamline\r\nwidth, material, opacity, but also to streamline\r\ndensity. To improve spatial perception of the 3D\r\nflow we apply techniques based on animation, depth\r\ncueing, and halos along a streamline if it is crossed\r\nby another streamline in the foreground. Finally, we\r\nmake intense use of focus+context methods like magic\r\nvolumes, region of interest driven streamline\r\nplacing, and spotlights to solve the occlusion\r\n problem.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 326, "drupal_id": 338, "orcid_id": "0000-0001-9483-9904", "website": "https://www.cg.tuwien.ac.at/staff/OliverMattausch", "firstname": "Oliver", "lastname": "Mattausch", "searchname": "Oliver Mattausch", "is_teacher": false, "name": "Oliver Mattausch", "publications": [ "2011scherzerE", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "hecher-2014-MH", "knecht_martin_2010_DIR", "knecht_martin_2012_RSMR", "matt-masterthesis", "matt2011", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "preiner2014clop", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer2010d", "scherzer2011c", "SCHWAERZLER-2012-FAS", "SSMW09", "Theussl-2002-RSH" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "beham_2009.2009-EVS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "BITTNER-2009-AGVS", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "druml-2010-PFL", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "ERNST-2010-IOOC", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Knecht_Schwaerzler_2008_ash", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "knecht-2009-MKN", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "knecht-2009-TAS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "luksch_2008_asm", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2006-AVC", "field_id": 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"stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Mattausch-2003-ISL/", "__class": "Publication" }, { "id": "Theussl-2002-RSH", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Reconstruction Schemes for High Quality Raycasting of the Body-Centered Cubic Grid", "date": "2002-12", "abstract": "The body-centered cubic (BCC) grid has received attention\r\nin the volume visualization community recently due to its\r\nability to represent the same data with almost 30\\% fewer\r\nsamples as compared to the Cartesian cubic (CC) grid.\r\nIn this paper we present several resampling strategies for\r\nraycasting BCC grids. These strategies range from 2D\r\ninterpolation in planes to piece-wise linear (barycentric)\r\ninterpolation in a tetrahedral decomposition of the grid\r\nto trilinear and sheared trilinear interpolation. We compare\r\nthem to raycasting with comparable resampling techniques in the\r\ncommonly used CC grid in terms of computational complexity and\r\n visual quality.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 175, "drupal_id": 142, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/ThomasTheußl", "firstname": "Thomas", "lastname": "Theußl", "searchname": "Thomas Theußl", "is_teacher": false, "name": "Thomas Theußl", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Hadwiger-2002-Fas", "Hadwiger-2003-MIP", "Hauser-1999-SSI", "Hauser-2002-SSI", "Hauser-2003-Acc", "kanitsar-2002-Chr", "Kanitsar-2003-Dem", "Loeffelmann-1998-SMURF", "Loeffelmann-1999-SMU", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Theussl-1999-MDH", "Theussl-2000-MWI", "Theussl-2001-ORS", "Theussl-2001-RIV", "Theussl-2002-RSH", "Theussl-2003-Rec" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Mattausch-2003-ISL", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Zambal-2003-SWA", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=175", "__class": "Author" }, { "id": 326, "drupal_id": 338, "orcid_id": "0000-0001-9483-9904", "website": "https://www.cg.tuwien.ac.at/staff/OliverMattausch", "firstname": "Oliver", "lastname": "Mattausch", "searchname": "Oliver Mattausch", "is_teacher": false, "name": "Oliver Mattausch", "publications": [ "2011scherzerE", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "hecher-2014-MH", "knecht_martin_2010_DIR", "knecht_martin_2012_RSMR", "matt-masterthesis", "matt2011", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "preiner2014clop", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer2010d", "scherzer2011c", "SCHWAERZLER-2012-FAS", "SSMW09", "Theussl-2002-RSH" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "beham_2009.2009-EVS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "BITTNER-2009-AGVS", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "druml-2010-PFL", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "ERNST-2010-IOOC", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Knecht_Schwaerzler_2008_ash", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "knecht-2009-MKN", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "knecht-2009-TAS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "luksch_2008_asm", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2006-AVC", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2007-OSP", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "mattausch-2008-CHC", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2012-TIS", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2013-FSBE", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MATTAUSCH-2015-CHCRT", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "MAYER-2010-MTX", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "radax-2010-RTL", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Selig_2005_WRO", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "WALLNER-2010-CSSAO", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=326", "__class": "Author" }, { "id": 196, "drupal_id": null, "orcid_id": null, "website": "http://www.css.sfu.ca/~torsten/", "firstname": "Torsten", "lastname": "Möller", "searchname": "Torsten Möller", "is_teacher": false, "name": "Torsten Möller", "publications": [ "a-2001-ahr", "a-2001-Rec", "Artner-2004-Hig", "Artner-2005-Hig", "balabanian-2008-tst", "brucker-2010-RES", "bruckner-2010-ISM", "heinzl-2008-sam", "klaffenboeck-2024-rva", "malik-2007-FP", "Theussl-2001-ORS", "Theussl-2001-RIV", "Theussl-2002-RSH", "TR-186-2-07-03", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-08", "TR-186-2-08-13", "VisWeek-Tutorial-2012-Uncertainty", "vucini_2008_rnp", "vucini_2009" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Artner-2005-Thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "sorger-2017-thesis", "field_id": "reviewer_1", "ordernum": 0 }, { "publ_id": "VisWeek-Tutorial-2012-Uncertainty", "field_id": "lecturer", "ordernum": 8 }, { "publ_id": "vucini-2009-phd", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "zsolnai-feher-thesis-2019", "field_id": "reviewer_1", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=196", "__class": "Author" }, { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Bartroli-2002-Pro", "Bartroli-2003-Geo", "Bartroli-2003-Non", "beham-2014-cupid", "Berger_2011_UAE", "Berger-1998-Col", "Berger-2000-Col", "Bruckner_Stefan_2015_VAS", "Bruckner-2003-The", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "burns-2007-fea", "Carata_2011_IVE", "Castro-1998-TFS", "Cornel_Daniel_2015_VOC", "cornel-2022-wih", "coto-2005-MAC", "Csebfalvi-1999-Fast", "Csebfalvi-1999-MIP", "Csebfalvi-2000-Fas", "Csebfalvi-2000-GELR", "Csebfalvi-2000-Gra", "Csebfalvi-2000-IVRBM", "Csebfalvi-2001-Fas", "Csebfalvi-2001-Int", "Csebfalvi-2001-NPVR", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "dataset-stagbeetle", "Dhanoa_2021", "dhanoa-2022-apm", "dhanoa-2025-dsg", "Diehl_2015", "Diehl_2021", "diehl-2013-VTA", "Diehl-2017-Albero", "Edi_2019_10_01", "eg-tut2005-iv", "eichner-2022-music", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "fernandez-2022-ergoexplorer", "fischel-1995-vis", "Fischel-1995-VLS", "Fischel-1997-CSVVP", "Fischel-1998-Cas", "fmistelbauer-2014-adict", "fritz-2009-ava", "Froehler_Berhnard_2015_ESM", "fuchs_vhml", "fuchs-2008-del", "Fuhr-1999-Multi", "Fuhrmann-1998-Rea", "fuhrmann-1998-reaX", "Furmanova_2018", "furmanova_2020", "furmanova-2024-bvp", "gall-2025-marv", "Gall2021", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu-2010-CIE", "Gillmann2021", "Glaeser-1997-EVG", "Glaeser-1998-AFa", "Glaeser-1998-Eff", "Glaeser-1999-Fas", "glanznig-2009-LAMC", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I1", "Groeller_2016_I2", "Groeller_2016_I3", "Groeller_2016_I4", "Groeller_2016_I5", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P3", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", 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