[ { "id": "amirkhanov2020visual", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visual Analytics in Dental Aesthetics", "date": "2020", "abstract": "Dental healthcare increasingly employs computer-aided design software,\nto provide patients with high-quality dental prosthetic devices. In\nmodern dental reconstruction, dental technicians address the unique\nanatomy of each patient individually, by capturing the dental impression\nand measuring the mandibular movements. Subsequently, dental technicians\ndesign a custom denture that fits the patient from a functional point of\nview. The current workflow does not include a systematic analysis of\naesthetics, and dental technicians rely only on an aesthetically\npleasing mock-up that they discuss with the patient, and on their\nexperience. Therefore, the final denture aesthetics remain unknown until\nthe dental technicians incorporate the denture into the patient. In this\nwork, we present a solution that integrates aesthetics analysis into the\nfunctional workflow of dental technicians. Our solution uses a video\nrecording of the patient, to preview the denture design at any stage of\nthe denture design process. We present a teeth pose estimation technique\nthat enables denture preview and a set of linked visualizations that\nsupport dental technicians in the aesthetic design of dentures. These\nvisualizations assist dental technicians in choosing the most\naesthetically fitting preset from a library of dentures, in identifying\nthe suitable denture size, and in adjusting the denture position. We\ndemonstrate the utility of our system with four use cases, explored by a\ndental technician. Also, we performed a quantitative evaluation for\nteeth pose estimation, and an informal usability evaluation, with\npositive outcomes concerning the integration of aesthetics analysis into\nthe functional workflow.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 1170, "drupal_id": 635, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/AleksandrAmirkhanov", "firstname": "Aleksandr", "lastname": "Amirkhanov", "searchname": "Aleksandr Amirkhanov", "is_teacher": false, "name": "Aleksandr Amirkhanov", "publications": [ "AA2020", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov-2021-diss", "amirkhanov2020visual", "Groeller_2016_P1", "heinzl-2018-ct-book", "manylands_award", "raidou_2018_bladderrunner", "rao-2017-dc", "Red_Andreas_2015_FFT", "reh-2015-areh", "schindler-2023-sso", "weissenboeck_2013", "weissenboeck-2014", "wu-2021", "wu-2021-vi" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "amirkhanov-2017-cffet", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "amirkhanov-2018-withteeth", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "amirkhanov-2019-manylands", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1170", "__class": "Author" }, { "id": 660, "drupal_id": 102, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/MatthiasBernhard", "firstname": "Matthias", "lastname": "Bernhard", "searchname": "Matthias Bernhard", "is_teacher": false, "name": "Matthias Bernhard", "publications": [ "amirkhanov-2018-withteeth", "amirkhanov2020visual", "Bernhard_Matthias_2014_VAC", "bernhard-2006-dvrcta", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bernhard-2016-gft", "hecher-2014-MH", "sundstedt-2013-vag", "Waldin_Nicholas_2016_Colormaps", "Waldin_Nicholas_2016_Individualization", "waldner-2014-af" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "bernhard-2011-maicg", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bernhard-2014-EFD", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bernhard-2014-GTOM", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "dellmour-2012-mcr", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "dellmour-2013-grs", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "grosse-2009-avp", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "labschuetz-2010-bms", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "labschuetz-2011-rsr", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Plank_Pascal_2015_HVP", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "praeauer-2011-et", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "radits_2011_gahdr", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "zhang_le-2010-IGA", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "ZL_2011_IVIG", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=660", "__class": "Author" }, { "id": 925, "drupal_id": 308, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/AlexeyKarimov", "firstname": "Alexey", "lastname": "Karimov", "searchname": "Alexey Karimov", "is_teacher": false, "name": "Alexey Karimov", "publications": [ "amirkhanov2020visual", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "miao_tvcg_2017", "waldner-2017-vph" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "karimov-2013-vivisection", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "karimov-2015-HD", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "staudacher_florian-2016-topo3d", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=925", "__class": "Author" }, { "id": 1628, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Sabine", "lastname": "Stiller", "searchname": "Sabine Stiller", "is_teacher": false, "name": "Sabine Stiller", "publications": [ "amirkhanov-2018-withteeth", "amirkhanov2020visual" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1628", "__class": "Author" }, { "id": 1629, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Andreas", "lastname": "Geier", "searchname": "Andreas Geier", "is_teacher": false, "name": "Andreas Geier", "publications": [ "amirkhanov-2018-withteeth", "amirkhanov2020visual" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1629", 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"lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=869", "__class": "Author" } ], "doi": "https://doi.org/10.1111/cgf.14174", "journal": "Computer Graphics Forum", "number": "7", "pages": "635–646", "pages_from": "635", "pages_to": "646", "volume": "39", "research_areas": [], "keywords": [ "Applied computing -> Life and medical sciences", "Human-centered computing -> Visualization application domains" ], "weblinks": [ { "href": "https://amirkhanov.net/visual-analytics-in-dental-aesthetics/", "caption": "Official page", "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/amirkhanov2020visual/", "__class": "Publication" }, { "id": "amirkhanov-2018-withteeth", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "WithTeeth: Denture Preview in Augmented Reality", "date": "2018-10", "abstract": "Dentures are prosthetic devices replacing missing or damaged teeth, often used for dental reconstruction. Dental reconstruction improves the functional state and aesthetic appearance of teeth. State-of-the-art methods used by dental technicians typically do not include the aesthetic analysis, which often leads to unsatisfactory results for patients. In this paper, we present a virtual mirror approach for a dental treatment preview in augmented reality. Different denture presets are visually evaluated and compared by switching them on the fly. Our main goals are to provide a virtual dental treatment preview to facilitate early feedback, and hence to build the confidence and trust of patients in the outcome. The workflow of our algorithm is as follows. First, the face is detected and 2D facial landmarks are extracted. Then, 3D pose estimation of upper and lower jaws is performed and high-quality 3D models of the upper and lower dentures are fitted. The fitting uses the occlusal plane angle as determined manually by dental technicians. To provide a realistic impression of the virtual teeth, the dentures are rendered with motion blur. We demonstrate the robustness and visual quality of our approach by comparing the results of a webcam to a DSLR camera under natural, as well as controlled lighting conditions.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 1170, "drupal_id": 635, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/AleksandrAmirkhanov", "firstname": "Aleksandr", "lastname": "Amirkhanov", "searchname": "Aleksandr Amirkhanov", "is_teacher": false, "name": "Aleksandr Amirkhanov", "publications": [ "AA2020", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov-2021-diss", "amirkhanov2020visual", "Groeller_2016_P1", "heinzl-2018-ct-book", "manylands_award", "raidou_2018_bladderrunner", "rao-2017-dc", "Red_Andreas_2015_FFT", "reh-2015-areh", "schindler-2023-sso", "weissenboeck_2013", "weissenboeck-2014", "wu-2021", "wu-2021-vi" ], 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Amirkhanov", "publications": [ "AA2020", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov-2021-diss", "amirkhanov2020visual", "Groeller_2016_P1", "heinzl-2018-ct-book", "manylands_award", "raidou_2018_bladderrunner", "rao-2017-dc", "Red_Andreas_2015_FFT", "reh-2015-areh", "schindler-2023-sso", "weissenboeck_2013", "weissenboeck-2014", "wu-2021", "wu-2021-vi" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "amirkhanov-2017-cffet", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "amirkhanov-2018-withteeth", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "amirkhanov-2019-manylands", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1170", "__class": "Author" } ], "research_areas": [ { "id": "MedVis", "drupal_id": 4133, "name": "Medical Visualization", "short_abstract": "This research area bridges the gap between visualization and medicine by providing comprehensible visual means to detect diseased regions or to aid clinical treatment decisions.", "abstract": "In collaboration with hospitals we try to investigate various topics in medicine by means of visualization or visual analytics. Due to the increasing amount of data generated by hospital information systems, visualization becomes successively more important. Extracting certain trends from such highly diverse data by suitable visual mappings is one of the primary goals of medical visualization. The data is usually acquired by computed tomography, magnetic resonance imaging or ultrasound.\n\nCurrently, our research addresses the analysis of blood vessels such as the inspection of possible stenotic regions or their spatial arrangement as in the Circle of Willis. Furthermore, we investigate aneurysm classification and lesion detection as well as visualization. Another research area deals with realistic prenatal visualization of the fetus in-vivo and in real-time. Due to the high variability of medical imaging data, we further focus on high-level correction of segmentation defects.", "website": "https://www.cg.tuwien.ac.at/research/area/MedVis", "teaser": { "name": "teaser.png", "path": "research_area:MedVis", "type": "image/png", "size": 225330, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/MedVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "amabili2021", "amirkhanov-2018-withteeth", "amirkhanov-2021-diss", "antes-2023-vhv", "arbesser_ba_2023", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2008-hvv", "Balabanian-2010-IIV", "Bauer_David_2018", "bayat-2022-mva", "Bernold_2019", "bernold-2019-epr", "Birkeland-2012-IMC", "borondy2022", "bront-2023-svo", "bruckner-2010-HVC", "burns-2007-fea", "Chen-Information-2016", "djuric-2020-wvo", "Eckelt_2017", "Eichner2022", "EuroVis2018-ShortPapers-Karall", "fmistelbauer-2014-adict", "Ford-2012-HRV", "furmanova_2020", "Gadllah_Hani_2016", "Gall_2017", "gall_alexander_2016BA", "ganglberger2019", "Gietl_2020", "Gillmann2021", "Groeller_2016_P4", "Groeller_V42020", "grossmann_2019_pelvisrunner_poster", "Grossmann_MA", "gutekunst_2019", "Hainoun2019", "Heim-2017", "Ismail-2018", "jank-2022-cbf", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "Kovacs_PhD", "Machegger2018DTI", "magg-2021-dva", "magg2021", "magg2022", "malan_fluoro", "martorell2022", "Masopust_2018", "Mazza_2020", "Miao_2015_VCBM", "miao_2016_cgf", "Miao_Haichao_2015_VQC", "miao_stateKeylabTalk_2017", "miao_thesis_2019", "miao_tvcg_2017", "mindek-2017-dsn", "Mistelbauer_2021", "Mistelbauer_Gabriel_2016", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "moerth_eric-2016-3DF", "moerth-2018-tpose", "Musleh_PhD", "musleh-2023-ugi", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "PERNDORFER-2015-ECS", "Pezenka-2016-MT", "Philipp_Hochhauser_2023", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_bestphd", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_visgap2020", "raidou2018visualflatter", "Reiter2017CVAP", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "ruiz-2008-OVR", "ruiz-2008-SEV", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "Schmidlehner_Sandra_SbC", "Schrempf_2018", "schultes_lampi", "SifuentesGangl2017FIS", "solteszova-2010-MOS", "Solteszova2016", "Spelitz2020", "stritzel2022", "Stritzel2022_thesis", "Tramberger_2018", "Tramberger2017BCS", "unger_2017", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_HQ3", "Viola_Ivan_DAC", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "vitruvian_2019", "vogel2022", "Weissenboeck_2019_PhD" ], "projects": [ "d9951", "Smile Analytics" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=MedVis", "__class": "ResearchArea" } ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "amirkhanov-2018-withteeth-paper.pdf", "type": "application/pdf", "size": 4951324, "path": "Publication:amirkhanov-2018-withteeth", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video demo", "main_file": true, "use_in_gallery": false, "access": "public", "name": "amirkhanov-2018-withteeth-video demo.mp4", "type": "video/mp4", "size": 35459157, "path": "Publication:amirkhanov-2018-withteeth", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-video demo.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-video demo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-video demo:video.mp4" } ], "projects_workgroups": [ { "id": "Smile Analytics", "workgroup_id": "vis", "drupal_id": 4194, "drupal_path": "/research/projects/Smile-Analytics", "name": "Smile Analytics: Visual Analytics for Realistic and Aesthetic Smile Design", "name_de": null, "short_title": "Smile Analytics", "website": null, "status": "active", "short_abstract": "The aim of the project is to improve the digital fabrication of dental prosthetic devices. We employ state of the art visualization techniques to enable a dental pretreatment preview for the patients.", "abstract": "The aim of the project is to improve the digital fabrication of dental prosthetic devices. We employ state of the art visualization techniques to enable a dental pretreatment preview for the patients.", "start_date": "2017-07-01", "end_date": "2019-06-30", "leader_id": 869, "logo": null, "funding_organisations": [ { "id": "FFF", "contract_number": "861168", "comment": "Basisprogramm Einzelprojekt" } ], "research_areas": [ "MedVis" ], "publications": [ "amirkhanov-2018-withteeth", "amirkhanov-2021-diss" ], "url": "https://www.cg.tuwien.ac.at/research/projects/Smile-Analytics", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/", "__class": "Publication" }, { "id": "bernhard-2016-gft", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": " The Accuracy of Gauge-Figure Tasks in Monoscopic and Stereo Displays", "date": "2016-07", "abstract": "The gauge-figure task (GFT) is a widespread method used to study surface perception for evaluating rendering and visualization techniques. The authors investigate how accurately slant angles probed on well-defined objects align with the ground truth (GT) in monoscopic and stereoscopic displays. Their results show that the GFT probes taken with well-defined objects align well with the GT in the all-monoscopic and all-stereoscopic conditions. However, they found that a GF rendered in stereo over a monoscopic stimulus results in a strong slant underestimation and that an overestimation occurred in the inverse case (monoscopic GF andstereoscopic stimulus). They discuss how their findings affect the interpretation of absolute GFT measures, compared to the GT normal.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 216, "image_height": 205, "name": "bernhard-2016-gft-.jpg", "type": "image/jpeg", "size": 38475, "path": "Publication:bernhard-2016-gft", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 660, "drupal_id": 102, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/MatthiasBernhard", "firstname": "Matthias", "lastname": "Bernhard", "searchname": "Matthias Bernhard", 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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": [ "antes-2026-maa", "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" } ], "keywords": [ "computer graphics", "gauge-figure task", "perceptual visualization", "shape perception" ], "weblinks": [ { "href": "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7478440", "caption": "IEEE Xplore", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 216, "image_height": 205, "name": "bernhard-2016-gft-.jpg", "type": "image/jpeg", "size": 38475, "path": "Publication:bernhard-2016-gft", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "illvisation", "workgroup_id": "vis", "drupal_id": 4171, "drupal_path": "/research/projects/illvisation", "name": "Visual Computing: Illustrative Visualization", "name_de": null, "short_title": "illvisation", "website": null, "status": "active", "short_abstract": "

The central focus of our research is to understand visual abstraction. Understanding means 1. to identify meaningful visual abstractions, 2. to assess their effectiveness for human perception and cognition and 3. to formalize them to be executable on a computational machinery. The outcome of the investigation is useful for designing visualizations for a given scenario or need, whose effectiveness can be quantified and thus the most understandable visualization design can be effortlessly determined. The science of visualization has already gained some understanding of structural visual abstraction. When for example illustrators, artists, and visualization designers convey certain structure, or visually express how things look, we can often provide a scientifically-founded argument whether and why is their expression effective for human cognitive processing. What has not been given sufficient scientific attention to, is advancing the understanding of procedural visual abstraction, in other words investigating visual means that convey what things do or how things work. This missing piece of knowledge would be very useful for visual depiction of processes and dynamics that are omnipresent in science, technology, but also in our everyday lives. The upcoming project will therefore investigate theoretical foundations for visualization of processes. Physiological processes that describe the complex machinery of biological life will be picked as a target scenario. The reason for this choice is two-fold. Firstly, these processes are immensely complex, are carried-out on various spatial and temporal levels simultaneously, and can be sufficiently understood only if all scales are considered. Secondly, physiological processes have been modeled as a result of intensive research in biology, systems biology, and biochemistry and are available in a form of digital data. The goal will be to visually communicate how physiological processes participate on life by considering the limitations of human perceptual and cognitive capabilities. By solving individual visualization problems of this challenging target scenario, the research will provide first pieces of understanding of procedural visual abstractions that are generally applicable, beyond the chosen target domain. Prototype implementation of the developed technology is available at the GitHub repository: https://github.com/illvisation/

\r\n\r\n

Prototype implementation of the developed technology is available at the GitHub repository:
\r\nhttps://github.com/illvisation/

\r\n\r\n

cellVIEW

\r\n\r\n

cellVIEW is a new tool that provides fast rendering of very large biological macromolecular scenes and is inspired by state-of-the-art computer graphics techniques. Click here for additional information.

\r\n\r\n

Invited Talks

\r\n\r\n

18.11.2016: Arthur J. Olson, Envisioning the Visible Molecular Cell
\r\n17.10.2016: Kwan-Liu Ma, Emerging Topics for Visualization Research: Part1, Part2
\r\n07.10.2016: Marc Streit, From Visual Exploration to Storytelling and Back Again
\r\n04.12.2015: Jan Palacek, Visual Analysis of Protein Complexes: From Protein Interaction to Cellular Processes
\r\n19.04.2013: Jan Koenderink, Shape in Visual Awareness

\r\n", "abstract": "

The central focus of our research is to understand visual abstraction. Understanding means 1. to identify meaningful visual abstractions, 2. to assess their effectiveness for human perception and cognition and 3. to formalize them to be executable on a computational machinery. The outcome of the investigation is useful for designing visualizations for a given scenario or need, whose effectiveness can be quantified and thus the most understandable visualization design can be effortlessly determined. The science of visualization has already gained some understanding of structural visual abstraction. When for example illustrators, artists, and visualization designers convey certain structure, or visually express how things look, we can often provide a scientifically-founded argument whether and why is their expression effective for human cognitive processing. What has not been given sufficient scientific attention to, is advancing the understanding of procedural visual abstraction, in other words investigating visual means that convey what things do or how things work. This missing piece of knowledge would be very useful for visual depiction of processes and dynamics that are omnipresent in science, technology, but also in our everyday lives. The upcoming project will therefore investigate theoretical foundations for visualization of processes. Physiological processes that describe the complex machinery of biological life will be picked as a target scenario. The reason for this choice is two-fold. Firstly, these processes are immensely complex, are carried-out on various spatial and temporal levels simultaneously, and can be sufficiently understood only if all scales are considered. Secondly, physiological processes have been modeled as a result of intensive research in biology, systems biology, and biochemistry and are available in a form of digital data. The goal will be to visually communicate how physiological processes participate on life by considering the limitations of human perceptual and cognitive capabilities. By solving individual visualization problems of this challenging target scenario, the research will provide first pieces of understanding of procedural visual abstractions that are generally applicable, beyond the chosen target domain. Prototype implementation of the developed technology is available at the GitHub repository: https://github.com/illvisation/

\r\n\r\n

Prototype implementation of the developed technology is available at the GitHub repository:
\r\nhttps://github.com/illvisation/

\r\n\r\n

cellVIEW

\r\n\r\n

cellVIEW is a new tool that provides fast rendering of very large biological macromolecular scenes and is inspired by state-of-the-art computer graphics techniques. Click here for additional information.

\r\n\r\n

Invited Talks

\r\n\r\n

18.11.2016: Arthur J. Olson, Envisioning the Visible Molecular Cell
\r\n17.10.2016: Kwan-Liu Ma, Emerging Topics for Visualization Research: Part1, Part2
\r\n07.10.2016: Marc Streit, From Visual Exploration to Storytelling and Back Again
\r\n04.12.2015: Jan Palacek, Visual Analysis of Protein Complexes: From Protein Interaction to Cellular Processes
\r\n19.04.2013: Jan Koenderink, Shape in Visual Awareness

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The comprehension of color maps in visualization is affected by the display (e.g., a monitor) and the perceptual abilities of the viewer. In this paper we present a novel method to measure a user׳s ability to distinguish colors of a two-dimensional color map on a given monitor. We show how to adapt the color map to the user and display to optimally compensate for the measured deficiencies. Furthermore, we improve user acceptance of the calibration procedure by transforming the calibration into a game. The user has to sort colors along a line in a 3D color space in a competitive fashion. 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Illustrators apply such techniques, for instance, to present non-important parts of an organ in a simplified way, while using detailed representations to put the focus of attention on a region where a tumor might be situated.\n\nTo identify such meaningful visual abstractions for visualization, their effectiveness for human perception and cognition has to be assessed, and they have to be formalized in order to make them applicable in rendering algorithms. In this project, we try to advance the understanding of procedural visual abstraction of complex physiological processes that describe the complex machinery of biological life.", "website": "https://www.cg.tuwien.ac.at/research/area/IllVis", "teaser": { "name": "teaser.jpg", "path": "research_area:IllVis", "type": "image/jpeg", "size": 34861, "orig_name": "teaser.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/IllVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "2017-kouril-illcell", "Alharbi_2021", "antes-2026-maa", "Antonini2020", "Balabanian-2010-IIV", "Balduz_01", "Bayat_2019", "Bechtold2020", "Birkeland-2012-IMC", "brandstaetter_01", "bruckner-2005-ICV", "bruckner-2006-ICE", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2010-HVC", "bruckner-2010-IFC", "cellVIEW_2015", "Chen-Information-2016", "Deutsch-2018", "Dhanoa_2021", "Dhanoa2024", "dietrich-2016-viseq2", "donabauer_2019_1", "eg-tut2005-iv", "eschner-2023-ims", "Essler2022", "gangl-2018-gpsart", "Gehrer_Daniel_CUI", "Gehrer-2017-molmach", "gerl-2006-vhi", "Gogel2020", "Groeller_2011_IPV", "Groeller_2016_I3", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_V1_2020", "groeller-2006-ivt", "groeller-2007-fci", "groeller-2008-irs", "Groeller-2010-IFI", "gruber-2025-vps", "Halladjian_2020", "haushofer-2018-skinning", "Heim_2020", "horvath-2018-ism", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "Knapp_2017_CVR", "Koeppel2020", "kolesar-ivan-2014-polymers", "Konev-FCV2018", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "kroesl_x_card_2017", "Lackner_2022", "Langer_Edith_IR1", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "Leutschacher_2022", "ludwig-2012-MT", "Manczarski-2016", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "Melo_2018_11", "Meusburger_2020", "Miao_2019", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_stateKeylabTalk_2017", "miao2018Dimsum", "Michl_2017_CSV", "mindek-2015-mc", "mindek-2016-utah-talk", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-xmas-card-2016", "Moellinger_Christian_IDE2", "Niedermayer_2018", "Ortner_PhD", "Ortner2020", "pahr-2021-vologram", "Panayotov", "patel_daniel_2007_IRSD", "Pauschenwein_2022", "Peter_2012_AIV", "plank-2017-sldg", "prost-2016-molecule", "purgathofer-2008-cgi", "Radwan-2017-Occ", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-VF", "Reichinger_2016", "Reichinger_Fuhrmann_2016", "Reisacher_Matthias_CPW", "Reisacher2016", "Riegelnegg_2019", "rippl-2023-atg", "sbardellati_ba_2018", "Sbardellati-2019-vcbm", "schindler_2020vis", "schmidlehner2021", "scholz_2021", "Schrempf_2020", "schultes_lampi", "seyfert-2017", "sikachev-2010-ill_vis_vol_ren", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "Spechtenhauser_Florian_2016", "stappen_2017_animatedcomic", "Stoll2020", "sturl_2016_dynlabels", "Swoboda2020", "szabo_patrik-2022-tour", "takahashi-2019-acdt", "Thomas-2018", "TR-186-2-07-08", "Troidl_2021", "Troidl_2022", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "Unger2020", "Vasileva_2022", "Viola_Ivan_2013_SVA", "Viola_Ivan_CLD", "Viola_Ivan_IIP", "viola-evr", "Viola-Pondering-2017", "Viola-vistutillustrativevis", "Waldin_Nicholas_2016_Colormaps", "waldin-2019-ccm", "Waldner_2017_11", "Wihann_2017", "Woschizka_2021", "wu-2019-bmc", "wu-2019-report", "Zaufel_2021", "zechmeister2020", "Zeng_2021", "Zusag-2017-Bach" ], "projects": [ "Illustrare", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=IllVis", "__class": "ResearchArea" }, { "id": "Perception", "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.

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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": [ "antes-2026-maa", "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" } ], "keywords": [], "weblinks": [ { "href": "http://dl.acm.org/citation.cfm?id=2948643", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Waldin_Nicholas_2016_Individualization-.pdf", "type": "application/pdf", "size": 3812707, "path": "Publication:Waldin_Nicholas_2016_Individualization", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/", "__class": "Publication" }, { "id": "Bernhard_Matthias_2014_VAC", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Visual Attention in Computer Graphics", "date": "2014-12", "abstract": "This thesis is concerned with gaze analysis methods to study visual attention in interactive 3D computer-graphics applications, such as virtual environments or computer games. Under this scope, research has been carried out in two directions: On the one hand, it was investigated how gaze analysis in three-dimensional virtual environments can be advanced. On the other hand, approaches were explored which improve three-dimensional graphics by taking into account visual attention of a user.\r\n\r\nTo advance gaze analysis in 3D computer graphics applications, two challenges have been\r\naddressed: First, inferring the object of attention at a certain point in time from the current output of an eye tracker – a technique which we denote as gaze-to-object mapping –, and second, deriving a statistical model for visual attention - a data structure we denote as importance map - from sequences of gaze samples recorded from many users. While addressing these challenges is a crucial step towards advancing gaze analysis and research on visual attention which employs modern computer graphics, the results may also be used in applications which attempt to perceptually optimize rendering. Thus, the third challenge addressed in this thesis was to explore an example application for attention-aware rendering techniques, where gaze-to-object mapping or importance maps can be employed to determine or predict the object of attention at run time. 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"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", "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-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-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", "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", "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", "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", 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"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", "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", "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/2014/Bernhard_Matthias_2014_VAC/", "__class": "Publication" }, { "id": "waldner-2014-af", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": " Attractive Flicker: Guiding Attention in Dynamic Narrative Visualizations", "date": "2014-12", "abstract": "Focus+context techniques provide visual guidance in visualizations by giving strong visual prominence to elements of interest while the context is suppressed. However, finding a visual feature to enhance for the focus to pop out from its context in a large dynamic scene, while leading to minimal visual deformation and subjective disturbance, is challenging. This paper proposes Attractive Flicker, a novel technique for visual guidance in dynamic narrative visualizations. We first show that flicker is a strong visual attractor in the entire visual field, without distorting, suppressing, or adding any scene elements. The novel aspect of our Attractive Flicker technique is that it consists of two signal stages: The first “orientation stage” is a short but intensive flicker stimulus to attract the attention to elements of interest. Subsequently, the intensive flicker is reduced to a minimally disturbing luminance oscillation (“engagement stage”) as visual support to keep track of the focus elements. To find a good trade-off between attraction effectiveness and subjective annoyance caused by flicker, we conducted two perceptual studies to find suitable signal parameters. We showcase Attractive Flicker with the parameters obtained from the perceptual statistics in a study of molecular interactions. With Attractive Flicker, users were able to easily follow the narrative of the visualization on a large display, while the flickering of focus elements was not disturbing when observing the context.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 600, "image_height": 605, "name": "waldner-2014-af-.png", "type": "image/png", "size": 232715, "path": "Publication:waldner-2014-af", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 1110, "drupal_id": 625, "orcid_id": "0000-0003-1387-5132", "website": 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"stoff-2025-pvu", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "stoff-concepMap-2021", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "textures-3d-printing", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "trautner-2018-imd", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "unger-2019_vcp", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Unger2020", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "waldner-2013-ubiWM", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "waldner-2014-af", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "waldner-2014-ghi", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "waldner-2017-vph", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "waldner-2019-rld", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "webGPU_aggregateVis-2023", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "wolf-2023-cc", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "wolf-2024-jhd", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1110", "__class": "Author" } ], "location": "Paris, France", "number": "12", "pages_from": "2456", "pages_to": "2465", "volume": "20", "research_areas": [ { "id": "BioVis", "drupal_id": 4127, "name": "Biological Data Visualization", "short_abstract": "In this research area, we develop new visualization techniques to support biologists in data analysis and create visualizations to disseminate scientific discoveries in biology.", "abstract": "In modern biological research domain experts have to deal with complex and large data collections and simulations. Our goal is to support biological researches in molecular biology and phenotyping communities by developing visualizations that complement statistical methodology and wet lab with visual data analysis. Our tools allow the domain experts to see the key information they are looking for that relates to the studied structure, such as tunnels in molecules on the nanoscale or root shape distributions on the macroscopic magnification levels.\nEqually important is the role of visualization in explaining certain phenomenon to a larger audience. Biologists create large structural models that reflect the state-of-the-art knowledge about a certain living organism. This form of captured knowledge can be effectively communicated with interactive visualization, especially the aspect of understanding interplay of multiple spatial and temporal scales. With our visualization technology audience can therefore seamlessly zoom from zoom level when seeing entire bacteria down to its atomic detail.\n", "website": "https://www.cg.tuwien.ac.at/research/area/BioVis", "teaser": { "name": "teaser.png", "path": "research_area:BioVis", "type": "image/png", "size": 16330957, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/BioVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "2017-kouril-illcell", "Alharbi_2021", "amirkhanov-2019-manylands", "byska-2019-mdfc", "cellVIEW_2015", "cmolik-2020-tvcg", "Dietrich_1", "dietrich-2016-viseq2", "Ehlers_PhD", "ehlers-2025-ait", "eschner-2023-ims", "eschner-blur-2022", "Escribano_2017", "Furmanova_2018", "Gehrer-2017", "Gehrer-2017-molmach", "glinzner-2016-tex", "Halladjian_2020", "kapferer-2017-godot", "klein_2017_IM", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "koch-2018-sso", "Kolesar-Fractional-2016", "kolesar-ivan-2014-polymers", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kozlikova-Visualization-2016b", "Krone2016VABC", "Kugler_2019", "lemuzic_2015_timelapse", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lipp-2017-mgpu", "lipp-2017-vulkan", "Manczarski-2016", "manylands_award", "Miao_2019", "miao_inria_2017", "miao_nantech_2019", "miao_nar_2020", "miao_stateKeylabTalk_2017", "miao_thesis_2019", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "mindek-2016-utah-talk", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-xmas-card-2016", "Mitterhofer_2017", "nguyen_2020-covid", "Nowak_2020", "raidou_2019_springer", "raidou_shonan167", "raidou2018visualflatter", "rasch-2016-imgses", "Reisacher2016", "rinortner_susanne-2019-vpicc", "Sarkis_2021", "sbardellati_ba_2018", "Sbardellati-2019-vcbm", "sMolBoxes_2022", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2013-neuromap", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "stappen_2017_animatedcomic", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "trautner-2018-imd", "unger-2019_vcp", "vad_2015_phd", "vad_viktor-2017-WVE", "vad-2016-bre", "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_IIP", "waldin-2019-ccm", "waldner-2014-af", "Weissenboeck_2019", "wu-2017-dagstuhl", "wu-2018-metabo", "wu-2018-story", "wu-2019-bmc", "wu-2019-report", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg" ], "projects": [ "BioNetIllustration", "Illustrare", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=BioVis", "__class": "ResearchArea" }, { "id": "Perception", "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": [ "antes-2026-maa", "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" } ], "keywords": [ "Narrative Visualization", "Flicker", "Visual Attention" ], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2014.2346352", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 600, "image_height": 605, "name": "waldner-2014-af-.png", "type": "image/png", "size": 232715, "path": "Publication:waldner-2014-af", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-:thumb{{size}}.png" }, { "description": "Screenshot of the large molecular scene used in the final experiment", "filetitle": "molecularScene", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 7597, "image_height": 1327, "name": "waldner-2014-af-molecularScene.png", "type": "image/png", "size": 3805356, "path": "Publication:waldner-2014-af", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-molecularScene.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-molecularScene:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "waldner-2014-af-paper.pdf", "type": "application/pdf", "size": 6413298, "path": "Publication:waldner-2014-af", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Preview video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, 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"waldner-2014-af-Submission video:preview.png", "preview_type": "image/jpeg", "preview_size": 48929, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Submission video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Submission video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Submission video:video.mp4" } ], "projects_workgroups": [ { "id": "illvisation", "workgroup_id": "vis", "drupal_id": 4171, "drupal_path": "/research/projects/illvisation", "name": "Visual Computing: Illustrative Visualization", "name_de": null, "short_title": "illvisation", "website": null, "status": "active", "short_abstract": "

The central focus of our research is to understand visual abstraction. Understanding means 1. to identify meaningful visual abstractions, 2. to assess their effectiveness for human perception and cognition and 3. to formalize them to be executable on a computational machinery. The outcome of the investigation is useful for designing visualizations for a given scenario or need, whose effectiveness can be quantified and thus the most understandable visualization design can be effortlessly determined. The science of visualization has already gained some understanding of structural visual abstraction. When for example illustrators, artists, and visualization designers convey certain structure, or visually express how things look, we can often provide a scientifically-founded argument whether and why is their expression effective for human cognitive processing. What has not been given sufficient scientific attention to, is advancing the understanding of procedural visual abstraction, in other words investigating visual means that convey what things do or how things work. This missing piece of knowledge would be very useful for visual depiction of processes and dynamics that are omnipresent in science, technology, but also in our everyday lives. The upcoming project will therefore investigate theoretical foundations for visualization of processes. Physiological processes that describe the complex machinery of biological life will be picked as a target scenario. The reason for this choice is two-fold. Firstly, these processes are immensely complex, are carried-out on various spatial and temporal levels simultaneously, and can be sufficiently understood only if all scales are considered. Secondly, physiological processes have been modeled as a result of intensive research in biology, systems biology, and biochemistry and are available in a form of digital data. The goal will be to visually communicate how physiological processes participate on life by considering the limitations of human perceptual and cognitive capabilities. By solving individual visualization problems of this challenging target scenario, the research will provide first pieces of understanding of procedural visual abstractions that are generally applicable, beyond the chosen target domain. Prototype implementation of the developed technology is available at the GitHub repository: https://github.com/illvisation/

\r\n\r\n

Prototype implementation of the developed technology is available at the GitHub repository:
\r\nhttps://github.com/illvisation/

\r\n\r\n

cellVIEW

\r\n\r\n

cellVIEW is a new tool that provides fast rendering of very large biological macromolecular scenes and is inspired by state-of-the-art computer graphics techniques. Click here for additional information.

\r\n\r\n

Invited Talks

\r\n\r\n

18.11.2016: Arthur J. Olson, Envisioning the Visible Molecular Cell
\r\n17.10.2016: Kwan-Liu Ma, Emerging Topics for Visualization Research: Part1, Part2
\r\n07.10.2016: Marc Streit, From Visual Exploration to Storytelling and Back Again
\r\n04.12.2015: Jan Palacek, Visual Analysis of Protein Complexes: From Protein Interaction to Cellular Processes
\r\n19.04.2013: Jan Koenderink, Shape in Visual Awareness

\r\n", "abstract": "

The central focus of our research is to understand visual abstraction. Understanding means 1. to identify meaningful visual abstractions, 2. to assess their effectiveness for human perception and cognition and 3. to formalize them to be executable on a computational machinery. The outcome of the investigation is useful for designing visualizations for a given scenario or need, whose effectiveness can be quantified and thus the most understandable visualization design can be effortlessly determined. The science of visualization has already gained some understanding of structural visual abstraction. When for example illustrators, artists, and visualization designers convey certain structure, or visually express how things look, we can often provide a scientifically-founded argument whether and why is their expression effective for human cognitive processing. What has not been given sufficient scientific attention to, is advancing the understanding of procedural visual abstraction, in other words investigating visual means that convey what things do or how things work. This missing piece of knowledge would be very useful for visual depiction of processes and dynamics that are omnipresent in science, technology, but also in our everyday lives. The upcoming project will therefore investigate theoretical foundations for visualization of processes. Physiological processes that describe the complex machinery of biological life will be picked as a target scenario. The reason for this choice is two-fold. Firstly, these processes are immensely complex, are carried-out on various spatial and temporal levels simultaneously, and can be sufficiently understood only if all scales are considered. Secondly, physiological processes have been modeled as a result of intensive research in biology, systems biology, and biochemistry and are available in a form of digital data. The goal will be to visually communicate how physiological processes participate on life by considering the limitations of human perceptual and cognitive capabilities. By solving individual visualization problems of this challenging target scenario, the research will provide first pieces of understanding of procedural visual abstractions that are generally applicable, beyond the chosen target domain. Prototype implementation of the developed technology is available at the GitHub repository: https://github.com/illvisation/

\r\n\r\n

Prototype implementation of the developed technology is available at the GitHub repository:
\r\nhttps://github.com/illvisation/

\r\n\r\n

cellVIEW

\r\n\r\n

cellVIEW is a new tool that provides fast rendering of very large biological macromolecular scenes and is inspired by state-of-the-art computer graphics techniques. Click here for additional information.

\r\n\r\n

Invited Talks

\r\n\r\n

18.11.2016: Arthur J. Olson, Envisioning the Visible Molecular Cell
\r\n17.10.2016: Kwan-Liu Ma, Emerging Topics for Visualization Research: Part1, Part2
\r\n07.10.2016: Marc Streit, From Visual Exploration to Storytelling and Back Again
\r\n04.12.2015: Jan Palacek, Visual Analysis of Protein Complexes: From Protein Interaction to Cellular Processes
\r\n19.04.2013: Jan Koenderink, Shape in Visual Awareness

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We propose to address this problem with a probabilistic approach using Bayesian inference. The desired result of the inference is a predicted probability density function (PDF) specifying for each object in the scene a probability to be attended by the user. To evaluate the quality of a predicted attention PDF, we present a methodology to assess the information value (i.e., likelihood) in the predictions of dierent approaches that can be used to infer object attention. To this end, we propose an experiment based on a visual search task which allows us to determine the object of attention at a certain point in time under controlled conditions.\nWe perform this experiment with a wide range of static and dynamic visual scenes to obtain a ground-truth evaluation data set, allowing us to assess GTOM techniques in a set of 30 particularly challenging cases.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "thumnail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 703, "image_height": 314, "name": "bernhard-2014-GTOM-thumnail.png", "type": "image/png", "size": 151264, "path": "Publication:bernhard-2014-GTOM", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-thumnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": 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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": [ "antes-2026-maa", "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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projects develops new mathematical 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. 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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. 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The central focus of our research is to understand visual abstraction. Understanding means 1. to identify meaningful visual abstractions, 2. to assess their effectiveness for human perception and cognition and 3. to formalize them to be executable on a computational machinery. The outcome of the investigation is useful for designing visualizations for a given scenario or need, whose effectiveness can be quantified and thus the most understandable visualization design can be effortlessly determined. The science of visualization has already gained some understanding of structural visual abstraction. When for example illustrators, artists, and visualization designers convey certain structure, or visually express how things look, we can often provide a scientifically-founded argument whether and why is their expression effective for human cognitive processing. What has not been given sufficient scientific attention to, is advancing the understanding of procedural visual abstraction, in other words investigating visual means that convey what things do or how things work. This missing piece of knowledge would be very useful for visual depiction of processes and dynamics that are omnipresent in science, technology, but also in our everyday lives. The upcoming project will therefore investigate theoretical foundations for visualization of processes. Physiological processes that describe the complex machinery of biological life will be picked as a target scenario. The reason for this choice is two-fold. Firstly, these processes are immensely complex, are carried-out on various spatial and temporal levels simultaneously, and can be sufficiently understood only if all scales are considered. Secondly, physiological processes have been modeled as a result of intensive research in biology, systems biology, and biochemistry and are available in a form of digital data. The goal will be to visually communicate how physiological processes participate on life by considering the limitations of human perceptual and cognitive capabilities. By solving individual visualization problems of this challenging target scenario, the research will provide first pieces of understanding of procedural visual abstractions that are generally applicable, beyond the chosen target domain. Prototype implementation of the developed technology is available at the GitHub repository: https://github.com/illvisation/

\r\n\r\n

Prototype implementation of the developed technology is available at the GitHub repository:
\r\nhttps://github.com/illvisation/

\r\n\r\n

cellVIEW

\r\n\r\n

cellVIEW is a new tool that provides fast rendering of very large biological macromolecular scenes and is inspired by state-of-the-art computer graphics techniques. Click here for additional information.

\r\n\r\n

Invited Talks

\r\n\r\n

18.11.2016: Arthur J. Olson, Envisioning the Visible Molecular Cell
\r\n17.10.2016: Kwan-Liu Ma, Emerging Topics for Visualization Research: Part1, Part2
\r\n07.10.2016: Marc Streit, From Visual Exploration to Storytelling and Back Again
\r\n04.12.2015: Jan Palacek, Visual Analysis of Protein Complexes: From Protein Interaction to Cellular Processes
\r\n19.04.2013: Jan Koenderink, Shape in Visual Awareness

\r\n", "abstract": "

The central focus of our research is to understand visual abstraction. Understanding means 1. to identify meaningful visual abstractions, 2. to assess their effectiveness for human perception and cognition and 3. to formalize them to be executable on a computational machinery. The outcome of the investigation is useful for designing visualizations for a given scenario or need, whose effectiveness can be quantified and thus the most understandable visualization design can be effortlessly determined. The science of visualization has already gained some understanding of structural visual abstraction. When for example illustrators, artists, and visualization designers convey certain structure, or visually express how things look, we can often provide a scientifically-founded argument whether and why is their expression effective for human cognitive processing. What has not been given sufficient scientific attention to, is advancing the understanding of procedural visual abstraction, in other words investigating visual means that convey what things do or how things work. This missing piece of knowledge would be very useful for visual depiction of processes and dynamics that are omnipresent in science, technology, but also in our everyday lives. The upcoming project will therefore investigate theoretical foundations for visualization of processes. Physiological processes that describe the complex machinery of biological life will be picked as a target scenario. The reason for this choice is two-fold. Firstly, these processes are immensely complex, are carried-out on various spatial and temporal levels simultaneously, and can be sufficiently understood only if all scales are considered. Secondly, physiological processes have been modeled as a result of intensive research in biology, systems biology, and biochemistry and are available in a form of digital data. The goal will be to visually communicate how physiological processes participate on life by considering the limitations of human perceptual and cognitive capabilities. By solving individual visualization problems of this challenging target scenario, the research will provide first pieces of understanding of procedural visual abstractions that are generally applicable, beyond the chosen target domain. Prototype implementation of the developed technology is available at the GitHub repository: https://github.com/illvisation/

\r\n\r\n

Prototype implementation of the developed technology is available at the GitHub repository:
\r\nhttps://github.com/illvisation/

\r\n\r\n

cellVIEW

\r\n\r\n

cellVIEW is a new tool that provides fast rendering of very large biological macromolecular scenes and is inspired by state-of-the-art computer graphics techniques. Click here for additional information.

\r\n\r\n

Invited Talks

\r\n\r\n

18.11.2016: Arthur J. Olson, Envisioning the Visible Molecular Cell
\r\n17.10.2016: Kwan-Liu Ma, Emerging Topics for Visualization Research: Part1, Part2
\r\n07.10.2016: Marc Streit, From Visual Exploration to Storytelling and Back Again
\r\n04.12.2015: Jan Palacek, Visual Analysis of Protein Complexes: From Protein Interaction to Cellular Processes
\r\n19.04.2013: Jan Koenderink, Shape in Visual Awareness

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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": "0000-0003-0516-5923", "website": "https://www.cg.tuwien.ac.at/staff/MichaelHecher", "firstname": "Michael", "lastname": "Hecher", "searchname": "Michael Hecher", "is_teacher": false, "name": "Michael Hecher", "publications": [ "bernhard-2014-EFD", "bernhard-2014-GTOM", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "wallner-2015-ModelingRoutinization" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Kollmann-2015-DoF", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "KREUZER-2017-PBF", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "labschuetz-2014-IGI", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "steiner-2013-BS", "field_id": "supervisor", "ordernum": 1 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=779", "__class": "Author" }, { "id": 660, "drupal_id": 102, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/MatthiasBernhard", 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"https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=193", "__class": "Author" } ], "issn": "1544-3558", "journal": "ACM Transactions on Applied Perception", "number": "5", "pages_from": "5:1", "pages_to": "5:21", "volume": "11", "research_areas": [ { "id": "Perception", "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": [ "antes-2026-maa", "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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"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": [ "Perception Studies", "Soft Shadows" ], "weblinks": [ { "href": "http://doi.acm.org/10.1145/2620029", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "draft", "main_file": false, "use_in_gallery": false, "access": "public", "name": "hecher-2014-MH-draft.pdf", "type": "application/pdf", "size": 7731118, "path": "Publication:hecher-2014-MH", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 978, "image_height": 850, "name": "hecher-2014-MH-image.png", "type": "image/png", "size": 245534, "path": "Publication:hecher-2014-MH", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-image:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "Mofa", "workgroup_id": "rend", "drupal_id": 4209, "drupal_path": "/research/projects/Mofa", "name": "Modern Functional Analysis in Computer Graphics", "name_de": null, "short_title": "Mofa", "website": null, "status": "active", "short_abstract": "The projects develops new mathematical 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": "bernhard-2014-EFD", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "The Effects of Fast Disparity Adjustments in Gaze-Controlled Stereoscopic Applications", "date": "2014-03", "abstract": "With the emergence of affordable 3D displays, stereoscopy is becoming\na commodity. However, often users report discomfort even after brief exposures to stereo content. One of the main reasons is the conflict between vergence and accommodation that is caused by 3D displays. We investigate dynamic adjustment of stereo parameters\nin a scene using gaze data in order to reduce discomfort. In a user study, we measured stereo fusion times after abrupt manipulation of disparities using gaze data. We found that gaze-controlled manipulation of disparities can lower fusion times for large disparities. In addition we found that gaze-controlled disparity adjustment should be applied in a personalized manner and ideally performed only at the extremities or outside the comfort zone of subjects.\nThese results provide important insight on the problems associated with fast disparity manipulation and are essential for developing appealing gaze-contingent and gaze-controlled applications.", "authors_et_al": false, "substitute": null, "main_image": { "description": "teaser", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1216, "image_height": 332, "name": "bernhard-2014-EFD-image.png", "type": "image/png", "size": 160276, "path": "Publication:bernhard-2014-EFD", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/bernhard-2014-EFD-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/bernhard-2014-EFD-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 660, "drupal_id": 102, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/MatthiasBernhard", "firstname": "Matthias", "lastname": "Bernhard", "searchname": "Matthias Bernhard", "is_teacher": false, "name": "Matthias Bernhard", "publications": [ "amirkhanov-2018-withteeth", "amirkhanov2020visual", "Bernhard_Matthias_2014_VAC", "bernhard-2006-dvrcta", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bernhard-2016-gft", "hecher-2014-MH", "sundstedt-2013-vag", "Waldin_Nicholas_2016_Colormaps", "Waldin_Nicholas_2016_Individualization", "waldner-2014-af" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "bernhard-2011-maicg", "field_id": "lecturer", "ordernum": 0 }, { 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"https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=660", "__class": "Author" }, { "id": 1017, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Camillo", "lastname": "Dellmour", "searchname": "Camillo Dellmour", "is_teacher": false, "name": "Camillo Dellmour", "publications": [ "bernhard-2014-EFD", "dellmour-2012-mcr", "dellmour-2013-grs" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1017", "__class": "Author" }, { "id": 779, "drupal_id": 182, "orcid_id": "0000-0003-0516-5923", "website": "https://www.cg.tuwien.ac.at/staff/MichaelHecher", "firstname": "Michael", "lastname": "Hecher", "searchname": "Michael Hecher", "is_teacher": false, "name": "Michael Hecher", "publications": [ "bernhard-2014-EFD", "bernhard-2014-GTOM", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "wallner-2015-ModelingRoutinization" ], 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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.

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The goal will be to use procedural modeling, graph theory and optimization methods for the automated design of highly detailed, furnished rooms.\n\nOur techniques will greatly extend the range of high-quality indoor environments that can be efficiently created by individual users. This will be achieved by (1) a high level of abstraction by description of object classes, (2) the automated creation of designs, and (3) the reusability and variability of created designs.\n\nTarget applications include indoor architecture design, everyday furniture planning, real estates marketing, digital content creation for games and movies, facility management, historical and archaeological visualizations and many more.\n\nFor automated model creation, we will improve the concept of shape grammars. A data-driven design approach will transform semantic description of interior designs to geometric models. 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Semantics and architectural knowledge determine their connections, sizes and shapes. Our contribution will be a graph-based layout algorithm for arbitrarily shaped rooms with a guarantee of no empty spaces and a minimum of parameters.\n\n2.\tFurniture placement arranges furniture items inside of a room. Mutual relations, functionality, ergonomics and room style determine the layout. Our contribution will be an automated optimization of layouts for illumination, ergonomics and emergency situations, as well as high-level control of layouts by semantic styling.\n\n3.\tFurniture generation creates furniture models, manages the configuration of their movable parts and applies textures. Our contribution will be general polyhedral furniture shapes, model generation inside of constrained spaces, and kinematics of models and posture selection.\n", "start_date": "2012-10-01", "end_date": "2017-09-30", "leader_id": 193, "logo": null, "funding_organisations": [ { "id": "fwf", "contract_number": "P24600-N23", "comment": null } ], "research_areas": [ "Modeling" ], "publications": [ "bernhard-2014-EFD", "eibensteiner-2016-pmg", "fan-2014-scfl", "fleiss-2015-da", "goetz_johann-cagmfp", "gurtler-2014-ssggm", "Ilcik_2015_LAY", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "kreuzer-2016-isf", "leimer-2014-fsco", "pezenka_lukas2012-bspcga", "pogrzebacz-2014-gggm", "spitaler-2015-pbi", "steiner_2016_isad", "sturl_andreas-caflm", "VASILJEVS-2018-PMPL" ], "url": "https://www.cg.tuwien.ac.at/research/projects/PAMINA", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/", "__class": "Publication" }, { "id": "sundstedt-2013-vag", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "Visual Attention and Gaze Behaviour in Games: An Object-Based Approach", "date": "2013-04", "abstract": "This chapter presents state-of-the-art methods that tap the potential of psychophysics for the purpose of understanding game players' behavior. 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Seif El-Nasr, A. Drachen, A. Canossa, K. Isbister,", "isbn": "9781447147688", "pages_from": "543", "pages_to": "583", "publisher": "Springer", "research_areas": [ { "id": "Perception", "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.

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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/2013/sundstedt-2013-vag/", "__class": "Publication" }, { "id": "bernhard-2011-bmtf", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Bi-modal Task Faciliation in a Virtual Traffic Scenario through Spatialized Sound Rendering ", "date": "2011-11", "abstract": "Audio rendering is generally used to increase the realism of Virtual Environments (VE). In addition, audio rendering may also improve the performance in specific tasks carried out in interactive applications such as games or simulators.\n\nIn this paper we investigate the effect of the quality of sound rendering on task performance in a task which is inherently vision dominated. The task is a virtual traffic gap crossing scenario with two elements: first, to discriminate crossable and uncrossable gaps in oncoming traffic, and second, to find the right timing to start crossing the street without an accident.\n\nA study was carried out with 48 participants in an immersive Virtual Environment setup with a large screen and headphones. Participants were grouped into three different conditions. In the first condition, spatialized audio rendering with head-related transfer function (HRTF) filtering was used. The second group was tested with conventional stereo rendering, and the remaining group ran the experiment in a mute condition.\n\nOur results give a clear evidence that spatialized audio improves task performance compared to the unimodal mute condition. Since all task-relevant information was in the participants' field-of-view, we conclude that an enhancement of task performance results from a bimodal advantage due to the integration of visual and auditory spatial cues.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1200, "name": "bernhard-2011-bmtf-image.jpg", "type": "image/jpeg", "size": 231255, "path": "Publication:bernhard-2011-bmtf", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 660, "drupal_id": 102, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/MatthiasBernhard", "firstname": "Matthias", "lastname": "Bernhard", "searchname": "Matthias Bernhard", "is_teacher": false, "name": "Matthias Bernhard", "publications": [ "amirkhanov-2018-withteeth", "amirkhanov2020visual", "Bernhard_Matthias_2014_VAC", "bernhard-2006-dvrcta", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bernhard-2016-gft", "hecher-2014-MH", "sundstedt-2013-vag", "Waldin_Nicholas_2016_Colormaps", "Waldin_Nicholas_2016_Individualization", "waldner-2014-af" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "bernhard-2011-maicg", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bernhard-2014-EFD", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "bernhard-2014-GTOM", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "dellmour-2012-mcr", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "dellmour-2013-grs", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "grosse-2009-avp", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "labschuetz-2010-bms", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "labschuetz-2011-rsr", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Plank_Pascal_2015_HVP", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "praeauer-2011-et", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "radits_2011_gahdr", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "zhang_le-2010-IGA", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "ZL_2011_IVIG", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=660", "__class": "Author" }, { "id": 838, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Karl", "lastname": "Grosse", "searchname": "Karl Grosse", "is_teacher": false, "name": "Karl Grosse", "publications": [ "bernhard-2011-bmtf", "grosse-2009-avp" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=838", "__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", 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"https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=193", "__class": "Author" } ], "issn": "1544-3558", "journal": "ACM Transactions on Applied Perception", "note": "Article No. 24", "number": "4", "pages_from": "1", "pages_to": "22", "volume": "8", "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": [ "bimodal task faciliation", "pedestrian safety", "virtual environments", "audio-visual perception", "head related transfer functions" ], "weblinks": [ { "href": "http://dl.acm.org/citation.cfm?id=2043606&CFID=76205769&CFTOKEN=78897554", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "draft", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": null, "preview_image_height": null, "name": "bernhard-2011-bmtf-draft.pdf", "type": "application/pdf", "size": 10940015, "path": "Publication:bernhard-2011-bmtf", "preview_name": "bernhard-2011-bmtf-draft:preview.png", "preview_type": "application/pdf", "preview_size": 14528250, "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1200, "name": "bernhard-2011-bmtf-image.jpg", "type": "image/jpeg", "size": 231255, "path": "Publication:bernhard-2011-bmtf", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": 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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" }, { "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/bernhard-2011-bmtf/", "__class": "Publication" }, { "id": "bernhard-2011-maicg", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Manipulating Attention in Computer Games", "date": "2011-06", "abstract": "In computer games, a user’s attention is focused on the current task, and task-irrelevant details remain unnoticed. This behavior, known as inattentional blindness, is a main problem for the optimal placement of information or advertisements. We propose a guiding principle based on Wolfe’s theory of Guided Search, which predicts the saliency of objects during a visual search task. Assuming that computer games elicit visual search tasks frequently, we applied this model in a “reverse” direction: Given a target item (e.g., advertisement) which should be noticed by the user, we choose a frequently searched game item and modify it so that it shares some perceptual features (e.g., color or orientation) with the target item. A memory experiment with 36 participants showed that in an action video game, advertisements were more noticeable to users when this method is applied.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 660, "drupal_id": 102, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/MatthiasBernhard", "firstname": "Matthias", "lastname": "Bernhard", "searchname": "Matthias Bernhard", "is_teacher": false, "name": "Matthias Bernhard", "publications": [ "amirkhanov-2018-withteeth", "amirkhanov2020visual", "Bernhard_Matthias_2014_VAC", "bernhard-2006-dvrcta", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bernhard-2016-gft", "hecher-2014-MH", "sundstedt-2013-vag", "Waldin_Nicholas_2016_Colormaps", "Waldin_Nicholas_2016_Individualization", "waldner-2014-af" ], "publications_first": [], "project_leader": [], 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"supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=660", "__class": "Author" }, { "id": 839, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Le", "lastname": "Zhang", "searchname": "Le Zhang", "is_teacher": false, "name": "Le Zhang", "publications": [ "bernhard-2011-maicg", "zhang_le-2010-IGA", "ZL_2011_IVIG" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=839", "__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", 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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": [ "antes-2026-maa", "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" } ], "keywords": [ "saliency", "attention guidance", "inattentional blindness", "in-game advertising", "guided search" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bernhard-2011-maicg-paper.pdf", "type": "application/pdf", "size": 2337253, "path": "Publication:bernhard-2011-maicg", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-maicg/bernhard-2011-maicg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-maicg/bernhard-2011-maicg-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "presentation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "bernhard-2011-maicg-presentation.ppt", "type": "application/vnd.ms-office", "size": 12238336, "path": "Publication:bernhard-2011-maicg", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-maicg/bernhard-2011-maicg-presentation.ppt", "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.

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In\r\nthis article, we present a novel pipeline to study eye-tracking data acquired from interactive 3D applications. The result of the\r\npipeline is an importance map which scores the amount of gaze spent on each object. This importance map is then used as a heuristic to predict a user’s visual attention according to the object properties present at runtime. The novelty of this approach is that the analysis is performed in object space and the importance map is defined in the feature space of high-level properties. High-level properties are used to encode task relevance and other attributes, such as eccentricity, which may have an impact on gaze behavior.\r\n\r\nThe pipeline has been tested with an exemplary study on a first-person shooter game. In particular, a protocol is presented describing the data acquisition procedure, the learning of different importance maps from the data, and finally an evaluation of the performance of the derived gaze predictors. A metric measuring the degree of correlation between attention predicted by the importance map and the actual gaze yielded clearly positive results. The correlation becomes particularly strong when the player is attentive to an in-game task.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1740, "image_height": 657, "name": "bernhard-2010-gph-teaser.JPG", "type": "image/jpeg", "size": 113142, "path": "Publication:bernhard-2010-gph", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/bernhard-2010-gph-teaser.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/bernhard-2010-gph-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 660, "drupal_id": 102, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/MatthiasBernhard", "firstname": "Matthias", "lastname": "Bernhard", "searchname": "Matthias Bernhard", 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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.

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