[ { "id": "rautek-2009-vmv", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Semantic Visualization Mapping for Volume Illustration", "date": "2009", "abstract": "Scientific visualization is the discipline of automatically rendering images from\r\nscientific data. Adequate visual abstractions are important to show relevant information\r\nin the data. Visual abstractions are a trade-off between showing detailed\r\ninformation and preventing visual overload. To use visual abstractions for the\r\ndepiction of data, a mapping from data attributes to visual abstractions is needed.\r\nThis mapping is called the visualization mapping.\r\nThis thesis reviews the history of visual abstractions and visualizationmapping\r\nin the context of scientific visualization. Later a novel visual abstraction method\r\ncalled caricaturistic visualization is presented. The concept of exaggeration is the\r\nvisual abstraction used for caricaturistic visualization. Principles from traditional\r\ncaricatures are used to accentuate salient details of data while sparsely sketching\r\nthe context.\r\nThe visual abstractions described in this thesis are inspired by visual art and\r\nmostly by traditional illustration techniques. To make effective use of the recently\r\ndeveloped visualizationmethods, that imitate illustration techniques, an expressive\r\nvisualization mapping approach is required. In this thesis a visualization mapping\r\nmethod is investigated that makes explicit use of semantics to describe mappings\r\nfrom data attributes to visual abstractions. The semantic visualization mapping\r\nexplicitly uses domain semantics and visual abstraction semantics to specify visualization\r\nrules. Illustrative visualization results are shown that are achieved with\r\nthe semantic visualization mapping.\r\nThe behavior of the automatically rendered interactive illustrations is specified\r\nusing interaction-dependent visualization rules. Interactions like the change of the\r\nviewpoint, or the manipulation of a slicing plane are state of the art in volume\r\nvisualization. In this thesis a method for more elaborate interaction techniques is\r\npresented. The behavior of the illustrations is specified with interaction-dependent\r\nrules that are integrated in the semantic visualization mapping approach.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 373, "image_height": 410, "name": "rautek-2009-vmv-image.jpg", "type": "image/jpeg", "size": 36775, "path": "Publication:rautek-2009-vmv", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/rautek-2009-vmv/rautek-2009-vmv-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/rautek-2009-vmv/rautek-2009-vmv-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 488, "drupal_id": 334, "orcid_id": "0000-0003-4821-7404", "website": "https://www.cg.tuwien.ac.at/staff/PeterRautek", "firstname": "Peter", "lastname": "Rautek", "searchname": "Peter Rautek", "is_teacher": false, "name": "Peter Rautek", "publications": [ "bruckner-2010-HVC", "klein-2016-WCL", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek-2013-pel", "Peter_2012_AIV", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2006", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev-2010-DFC", "sorger_2017_metamorphers", "Soros_AVN_2011", "TR-186-2-05-03", "TR-186-2-06-01", "TR-186-2-07-05", "TR-186-2-07-10", "Vad_Viktor_2015_RVV", "Waldin_Nicholas_2016_Individualization" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Basch_2011_ATA", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "BirsakHanzl-2009", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Brandorff-08-OV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "brandorff-2009-erv", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Fruehstueck_Anna_2015_DOM", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "hanzl-2011", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Klein_Tobias_2015TIV", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Labschuetz_Matthias_2016_AHD", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Marek06", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Pramerdorfer-2011-PAV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Rautek-2007-SLI", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Rautek-2008-IDS", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "RAUTEK06", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Rautek06Vis", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "rautek2010", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "sollboeck-2011", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Soros-AV-2010", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "StickmanMax-shoetta-kampfer", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=488", "__class": "Author" } ], "co_supervisor": [ { "id": 171, "drupal_id": 168, "orcid_id": "0000-0003-4248-6574", "website": "https://www.cg.tuwien.ac.at/staff/IvanViola", "firstname": "Ivan", "lastname": "Viola", "searchname": "Ivan Viola", "is_teacher": true, "name": "Ivan Viola", "publications": [ "2013_Viola_Ivan_2013_MTS", "Alharbi_2021", "Artner-2004-Hig", "Artner-2005-Hig", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "bernhard-2016-gft", "birkeland_aasmund_2014_pums", "Birkeland-2012-IMC", "boffi-2024-bagginghook", "bruckner-2005-vid", "bruckner-2010-HVC", "burns-2007-fea", "cellVIEW_2015", "Chen-Information-2016", "Cornel2016CFM", "Csebfalvi-2002-FPVF", "diss-thesis-bratislava", "diss-thesis-magdeburg", "diss-thesis-siegen", "eg-tut2005-iv", "Ford-2012-HRV", "Furmanova_2018", "Gehrer-2017-molmach", "Groeller-2017-PTPMD", "Hadwiger-2002-Fas", "Halladjian_2020", "Kehl-Direct-2016", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PMP", "koch_bernhard_2018-1", "Kolesar-Fractional-2016", "kolesar-ivan-2014-polymers", "Konev-FCV2018", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "Kozlikova-Visualization-2016b", "Krone2016VABC", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "li-2019-gdc", "Masterthesis-Viola", "Mazza_2020", "Miao_2019", "miao_nantech_2019", "miao_nar_2020", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "mindek-2015-mc", "mindek-2017-marion", 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"Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-2007-ort", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "vitruvian_2019", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Colormaps", "Waldin_Nicholas_2016_Individualization", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2019-ccm", "waldner-2014-af", "waldner-2014-ghi", "wu-2018-metabo", "wu-2018-story", "wu-2019-bmc", "wu-2019-report", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2005", "Zeng_2021" ], "publications_first": [], "project_leader": [ "Animated Cell Tab development", "exvisation", "Illustrare", "illvisation" ], "publication_field": [ { "publ_id": "2017-kouril-illcell", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Artner-2005-Thesis", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "balabanian-2009-mav", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Balduz_01", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "dietrich-2016-viseq2", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "gangl-2018-gpsart", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Gehrer_Daniel_CUI", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Gehrer-2017", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "glinzner-2016-tex", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "haidacher-2004-FVV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "haidacher-2005-MND", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "haidacher-2007-idr", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "haushofer-2018-skinning", "field_id": "supervisor", "ordernum": 0 }, { 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"Wihann_2017", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=171", "__class": "Author" } ], "date_end": "2009-01", "date_start": "2005-11", "rigorosum": "2009-01-27", "supervisor": [ { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", 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"drupal_id": 4248, "drupal_path": "/research/projects/exvisation", "name": "ExVisation: Expressive Visualization of Volumetric Data", "name_de": null, "short_title": "exvisation", "website": null, "status": "active", "short_abstract": "

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

\r\n", "abstract": "

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

\r\n", "start_date": "2005-08-01", "end_date": "2009-12-31", "leader_id": 171, "logo": { "name": "logo.png", "path": "project:exvisation", "type": "image/png", "size": 13153, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/exvisation/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 18322-N04", "comment": null } ], "research_areas": [], "publications": [ "bruckner-2005-AIV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2009-IVV", "diss-thesis-bratislava", "diss-thesis-magdeburg", "diss-thesis-siegen", "eg-tut2005-iv", "Marek06", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "Rautek06Vis", "Rautek06VMLS", "ruiz-2008-OVR", "ruiz-2008-SEV", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-07-02", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-10", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "Viola-05-Smart", "viola-2006-FoA", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "xmastree2005" ], "url": "https://www.cg.tuwien.ac.at/research/projects/exvisation", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/rautek-2009-vmv/", "__class": "Publication" }, { "id": "bruckner-2008-IIV", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Illustrative Volume Visualization", "date": "2008-03", "abstract": "Illustrations are essential for the effective communication of complex subjects. Their production, however, is a difficult and expensive task. In recent years, three-dimensional imaging has become a vital tool not only in medical diagnosis and treatment planning, but also in many technical disciplines (e.g., material inspection), biology, and archeology. Modalities such as X-Ray Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) produce high-resolution volumetric scans on a daily basis. It seems counter-intuitive that even though such a wealth of data is available, the production of an illustration should still require a mainly manual and time-consuming process.\n\nThis thesis is devoted to the computer-assisted generation of illustrations directly from volumetric data using advanced visualization techniques. The concept of a direct volume illustration system is introduced for this purpose. Instead of requiring an additional modeling step, this system allows the designer of an illustration to work directly on the measured data. Abstraction, a key component of traditional illustrations, is used in order to reduce visual clutter, emphasize important structures, and reveal hidden detail. Low-level abstraction techniques are concerned with the appearance of objects and allow flexible artistic shading of structures in volumetric data sets. High-level abstraction techniques control which objects are visible. For this purpose, novel methods for the generation of ghosted and exploded views are introduced.\n\nThe visualization techniques presented in this thesis employ the features of current graphics hardware to achieve interactive performance. The resulting system allows the generation of expressive illustrations directly from volumetric data with applications in medical training, patient education, and scientific communication.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Illustrative visualization results", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 1024, "name": "bruckner-2008-IIV-Teaser.jpg", "type": "image/jpeg", "size": 566494, "path": "Publication:bruckner-2008-IIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 161, "drupal_id": 315, "orcid_id": "0000-0002-0885-8402", 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"mindek-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Mistelbauer_Gabriel_2016", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Nowak_2020", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "puehringer-2009-sbm", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "rraidou_EG17", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "schmidt-phd", "field_id": "reviewer_2", "ordernum": 0 }, { "publ_id": "Solteszova-2009-VQN", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "spoerk-2010-hpgpu", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "VisWeek-Tutorial-2012-Uncertainty", "field_id": "lecturer", "ordernum": 1 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=161", "__class": "Author" } ], "date_end": "2008-03", "date_start": "2004-07", "rigorosum": "2008-04-11", "supervisor": [ { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Bartroli-2002-Pro", "Bartroli-2003-Geo", "Bartroli-2003-Non", "beham-2014-cupid", "Berger_2011_UAE", "Berger-1998-Col", "Berger-2000-Col", "Bruckner_Stefan_2015_VAS", "Bruckner-2003-The", "bruckner-2005-ICV", 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"status": "active", "short_abstract": "

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

\r\n", "abstract": "

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

\r\n", "start_date": "2005-08-01", "end_date": "2009-12-31", "leader_id": 171, "logo": { "name": "logo.png", "path": "project:exvisation", "type": "image/png", "size": 13153, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/exvisation/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 18322-N04", "comment": null } ], "research_areas": [], "publications": [ "bruckner-2005-AIV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2009-IVV", "diss-thesis-bratislava", "diss-thesis-magdeburg", "diss-thesis-siegen", "eg-tut2005-iv", "Marek06", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "Rautek06Vis", "Rautek06VMLS", "ruiz-2008-OVR", "ruiz-2008-SEV", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-07-02", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-10", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "Viola-05-Smart", "viola-2006-FoA", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "xmastree2005" ], "url": "https://www.cg.tuwien.ac.at/research/projects/exvisation", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/", "__class": "Publication" }, { "id": "Rautek-2007-O3D", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Caricaturistic Visualization of Deformation Data Based on High Density Point Clouds", "date": "2007", "abstract": "Modern deformation monitoring techniques offer possibilities to measure and analyze deformation processes in detail. There are various different sensor systems on the market that can be used in these application fields, each having specific features in terms of accuracy, robustness, user interaction, operational range, measurement speed and frequency, resolution, or other relevant parameters. The selection of an appropriate sensor system for a particular application is not trivial.\r\n\r\nIn recent years research on image-based measurement systems and laser scanners has gained increasing interest – in many cases a combination of different sensors has advantages over a single-sensor system (e.g. different accuracy and reliability classes, different measurement range, etc.).\r\n\r\nThe point clouds produced by such systems potentially consist of a vast number of points. One of the main problems concerning the analysis and interpretation of deformation measurements is the visualization of the data respectively of the underlying deformation. In this paper we present the application of the recently developed caricaturistic visualization method to deformation data based on high density point clouds. Caricaturistic visualization depicts the deformation data in an exaggerated way. The exaggeration of the deformation accents subtle deviations and supports the viewer for the correct interpretation of the underlying deformation. We show results for facade deformation data as well as for landslide data.\r\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 512, "image_height": 416, "name": "Rautek-2007-O3D-.jpg", "type": "image/jpeg", "size": 257841, "path": "Publication:Rautek-2007-O3D", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-O3D/Rautek-2007-O3D-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-O3D/Rautek-2007-O3D-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 488, "drupal_id": 334, "orcid_id": "0000-0003-4821-7404", "website": "https://www.cg.tuwien.ac.at/staff/PeterRautek", "firstname": "Peter", "lastname": "Rautek", "searchname": "Peter Rautek", "is_teacher": false, "name": "Peter Rautek", "publications": [ "bruckner-2010-HVC", "klein-2016-WCL", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek-2013-pel", "Peter_2012_AIV", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2006", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev-2010-DFC", "sorger_2017_metamorphers", "Soros_AVN_2011", "TR-186-2-05-03", "TR-186-2-06-01", "TR-186-2-07-05", "TR-186-2-07-10", "Vad_Viktor_2015_RVV", "Waldin_Nicholas_2016_Individualization" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Basch_2011_ATA", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "BirsakHanzl-2009", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Brandorff-08-OV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "brandorff-2009-erv", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Fruehstueck_Anna_2015_DOM", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "hanzl-2011", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Klein_Tobias_2015TIV", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Labschuetz_Matthias_2016_AHD", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Marek06", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Pramerdorfer-2011-PAV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Rautek-2007-SLI", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Rautek-2008-IDS", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "RAUTEK06", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Rautek06Vis", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "rautek2010", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "sollboeck-2011", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Soros-AV-2010", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "StickmanMax-shoetta-kampfer", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=488", "__class": "Author" }, { "id": 664, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Alexander", "lastname": "Reiterer", "searchname": "Alexander Reiterer", "is_teacher": false, "name": "Alexander Reiterer", "publications": [ "Rautek-2007-O3D" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=664", "__class": "Author" }, { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", 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"furmanova_2020", "furmanova-2024-bvp", "gall-2025-marv", "Gall2021", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu-2010-CIE", "Gillmann2021", "Glaeser-1997-EVG", "Glaeser-1998-AFa", "Glaeser-1998-Eff", "Glaeser-1999-Fas", "glanznig-2009-LAMC", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I1", "Groeller_2016_I2", "Groeller_2016_I3", "Groeller_2016_I4", "Groeller_2016_I5", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P3", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-1987-opt", "groeller-1988-duale", "groeller-1988-using", "groeller-1991-frac", "groeller-1991-temp", "groeller-1992-frac", "groeller-1992-fractals", "groeller-1992-fraktale", "groeller-1992-vis", "groeller-1993-acc", "groeller-1993-cha", "groeller-1993-coh", "groeller-1993-coh1", "groeller-1993-daten", "groeller-1993-dist", "groeller-1993-disto", "groeller-1993-eff", "groeller-1993-exp", "groeller-1993-frak", "groeller-1993-grund", "groeller-1993-oct", "Groeller-1994-AIV", "groeller-1994-appl", "Groeller-1994-AVT", "groeller-1994-coh", "Groeller-1994-CSA", "groeller-1994-ext", "Groeller-1994-HIS", "groeller-1994-hyper", "Groeller-1994-IDN", "groeller-1994-int", "Groeller-1994-ITV", "groeller-1994-mod", "Groeller-1994-MRN", "groeller-1994-tech", "groeller-1994-vis", "groeller-1995-appl", "groeller-1995-attract", "Groeller-1995-CCG", "groeller-1995-dyn", "Groeller-1995-GOW", "Groeller-1995-IED", "groeller-1995-inter", "groeller-1995-lok", "groeller-1995-mod", "groeller-1995-non", "Groeller-1995-SDC", "groeller-1995-vis", "groeller-1996-ACE", "groeller-1996-avn", "Groeller-1998-TunVis", "Groeller-1998-VAD", "Groeller-1998-VDS", "Groeller-1999-Dat", "Groeller-1999-Vis", "Groeller-2000-Vis", "Groeller-2001-IDV", "groeller-2002-anw", "Groeller-2002-Ins", "groeller-2002-med", "groeller-2002-wiss", "groeller-2003-fea", "groeller-2003-med", "groeller-2003-scie", "groeller-2003-vol", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-abs", "groeller-2005-dia", "groeller-2005-foc", "groeller-2005-imp", "groeller-2005-impo", "groeller-2005-proc", "groeller-2005-sma", "groeller-2005-smar", "groeller-2005-volg", "groeller-2006-cgf", "groeller-2006-civ", "groeller-2006-ivt", "groeller-2006-tvcg", "groeller-2007-csu", "groeller-2007-fci", "groeller-2007-mva", "groeller-2007-vis", "groeller-2007-visII", "groeller-2007-vws", "groeller-2008-att2", "groeller-2008-How", "groeller-2008-hsp", "groeller-2008-irs", "groeller-2008-kav2", "groeller-2008-kav3", "groeller-2008-kav4", "groeller-2008-lsy", "Groeller-2010-CVC", "groeller-2010-How", "Groeller-2010-IFI", "Groeller-2010-IVVI", "groeller-2010-PTT", "Groeller-2011-HSH", "Groeller-2017-AMOS", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "groeller-2022-iva", "groeller-2022-iva-1", 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To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

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To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

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The\nillustration community has century-long experience in adapting their techniques to human\nperceptual needs in order to generate an effective depiction which conveys the desired\nmessage. Thus, their methods can provide us with important insights into visualization\nproblems.\nIn this tutorial, the concepts in illustrative visualization are reviewed. An important aspect here\nis interaction: while traditional illustrations are commonly only presented as static images,\ncomputer-assisted visualization enables interactive exploration and manipulation of complex\nscientific data. Only by coupling illustrative visualization with effective interaction techniques\nits full potential can be exploited.\nThe tutorial starts with a general introduction into the area of illustrative visualization. The\nconcept of importance-driven visualization and its applications are presented. Then we proceed with a discussion how traditional abstraction techniques can be applied in an\ninteractive context using importance-based methods. This ranges from low-level appearance\nto smart viewpoint-dependent visibility techniques such as cutaways or exploded views.\nFurther advanced manipulation strategies are discussed in the third part. The use\ndeformations to enhance visibility of certain features while providing context or to abstract the\nstructure of a complex objects through direct interaction with the data is examined. As many\nof the presented methods rely on a separation of focus and context, i.e., the important\nstructures in the data have been identified, the tutorial discusses approaches for selecting\nobjects of interest in a three-dimensional environment using intuitive sketch-based interfaces.\nSince the effectiveness of a user-interface is heavily dependent on the previous knowledge of\nthe user, the last part of the tutorial examines the concept of layering interfaces based on\nuser expertise. Finally, the application of illustrative display and interaction techniques for\nnon-traditional modalities such as mobile devices concludes the tutorial.\n\nIEEE Visualization 2007 Tutorial Page: http://vis.computer.org/vis2007/session/tutorials.html#t7\n\nSee also previous tutorials on Illustrative Visualization:\n\nIEEE Visualization 2006 Tutorial on Illustrative Visualization for Science and Medicine\nhttp://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/\n\nEurographics 2006 Tutorial on Illustrative Visualization for Science and Medicine http://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/\n\nSIGGRAPH 2006 Course on Illustrative Visualization for Science and Medicine http://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization 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To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

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To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

\r\n", "abstract": "

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

\r\n", "start_date": "2005-08-01", "end_date": "2009-12-31", "leader_id": 171, "logo": { "name": "logo.png", "path": "project:exvisation", "type": "image/png", "size": 13153, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/exvisation/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 18322-N04", "comment": null } ], "research_areas": [], "publications": [ "bruckner-2005-AIV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2009-IVV", "diss-thesis-bratislava", "diss-thesis-magdeburg", "diss-thesis-siegen", "eg-tut2005-iv", "Marek06", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "Rautek06Vis", "Rautek06VMLS", "ruiz-2008-OVR", "ruiz-2008-SEV", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-07-02", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-10", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "Viola-05-Smart", "viola-2006-FoA", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "xmastree2005" ], "url": "https://www.cg.tuwien.ac.at/research/projects/exvisation", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Marek06/", "__class": "Publication" }, { "id": "Rautek06VMLS", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Caricaturistic Visualization", "date": "2006", "abstract": "For many applications of medicine and life science, data is gathered or measured to find and to analyze the characteristics of the investigated object. Characteristics of a dataset can be expressed as the deviations from the norm. These deviations traditionally are found and classified using statistical methods. In many cases the statistical models do not appropriately describe the underlying phenomenon. They are therefore unsuitable for the data of interest. In this case visualization can replace the statistical methods. Expressive visualizations guide the user to find characteristics. Further the user is enabled to analyze the deviations of a given dataset.\r\nCaricaturistic visualization is an expressive method tailored to depict the deviations in an exaggerated way. It is guided by the idea of caricatures which exaggerate the outstanding features of an object. A method for caricaturistic visualization is presented and its power is shown on different examples. Caricaturistic visualization assumes the existence of a reference model. In many applications an explicit reference model is not available. To overcome this limitation different datasets are compared to each other. This results in the Caricature matrix, a 2D matrix of caricaturistic visualizations. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "Caricaturistic Vessel Visualization", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 416, "image_height": 903, "name": "Rautek06VMLS-image.bmp", "type": "image/x-ms-bmp", "size": 1126998, "path": "Publication:Rautek06VMLS", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06VMLS/Rautek06VMLS-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06VMLS/Rautek06VMLS-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 488, "drupal_id": 334, "orcid_id": "0000-0003-4821-7404", "website": "https://www.cg.tuwien.ac.at/staff/PeterRautek", "firstname": "Peter", "lastname": "Rautek", "searchname": "Peter Rautek", "is_teacher": false, "name": "Peter Rautek", "publications": [ "bruckner-2010-HVC", "klein-2016-WCL", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "mindek-2013-pel", "Peter_2012_AIV", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2006", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev-2010-DFC", "sorger_2017_metamorphers", "Soros_AVN_2011", "TR-186-2-05-03", "TR-186-2-06-01", "TR-186-2-07-05", "TR-186-2-07-10", "Vad_Viktor_2015_RVV", "Waldin_Nicholas_2016_Individualization" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Basch_2011_ATA", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "BirsakHanzl-2009", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Brandorff-08-OV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "brandorff-2009-erv", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Fruehstueck_Anna_2015_DOM", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "hanzl-2011", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Klein_Tobias_2015TIV", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Labschuetz_Matthias_2016_AHD", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Marek06", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Pramerdorfer-2011-PAV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Rautek-2007-SLI", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Rautek-2008-IDS", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "RAUTEK06", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Rautek06Vis", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "rautek2010", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "sollboeck-2011", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Soros-AV-2010", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "StickmanMax-shoetta-kampfer", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=488", "__class": "Author" } ], "date_from": "2006-07-19", "date_to": "2006-07-21", "event": "Workshop on Visualization in Medicine and Life Sciences", "location": "Rügen, Germany", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "Caricaturistic Vessel Visualization", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 416, "image_height": 903, "name": "Rautek06VMLS-image.bmp", "type": "image/x-ms-bmp", "size": 1126998, "path": "Publication:Rautek06VMLS", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06VMLS/Rautek06VMLS-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06VMLS/Rautek06VMLS-image:thumb{{size}}.png" }, { "description": "Slides of the presentation", "filetitle": "Presentation", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Rautek06VMLS-Presentation.ppt", "type": "application/msword", "size": 23325696, "path": "Publication:Rautek06VMLS", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06VMLS/Rautek06VMLS-Presentation.ppt", "thumb_image_sizes": [] } ], "projects_workgroups": [ { "id": "exvisation", "workgroup_id": "vis", "drupal_id": 4248, "drupal_path": "/research/projects/exvisation", "name": "ExVisation: Expressive Visualization of Volumetric Data", "name_de": null, "short_title": "exvisation", "website": null, "status": "active", "short_abstract": "

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

\r\n", "abstract": "

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

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Lectures are organized within\na comprehensive illustration framework, focusing on three main components:\n\n(a) Traditional and computerized illustration techniques and principles for Technical and Science Subjects,\n\n(b) Evaluation and Practical Use,\n\n(c) Viewing & Rendering. \n\nPresentation of topics is balanced between descriptions of traditional methods and practices, practical implementation motivated approaches and evaluation, and detailed descriptions and analysis of NPR techniques and\nalgorithms.\nWe begin with a lecture presenting an overview of traditional illustration in technical, science, and medical subjects\nfollowed by a description of the main components in a NPR pipeline for developing systems to help technical\nand science illustrators with their work. The tutorial progresses with an overview of the NPR used in illustration\nas well as approaches to evaluate their use and effectiveness. Following lectures describe the latest techniques in computerized illustration algorithms for scientific and medical data for both surface and volumetric data, covering\ntechniques from silhouette enhancement to stippling, to cut-away viewing, labeling, and focus+context rendering.\nEach of the lectures also discusses practical issues in making these techniques interactive and their use for different application domains. Tutorial concludes with discussion on specific medical case studies where the illustrative visualization has been effectively applied.\n\nEurographics 2006 tutorial page:\nhttp://www.cg.tuwien.ac.at/events/EG06/program-t1022.php\n\nSee also previous tutorials on Illustrative Visualization:\n\nSIGGRAPH 2006 Course on Illustrative Visualization for Science and Medicine\nhttp://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization\nhttp://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization\nhttp://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 281, "image_height": 300, "name": "tut-eg-2006-.png", "type": "image/png", "size": 54466, "path": "Publication:tut-eg-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 171, "drupal_id": 168, "orcid_id": "0000-0003-4248-6574", "website": "https://www.cg.tuwien.ac.at/staff/IvanViola", "firstname": "Ivan", "lastname": "Viola", "searchname": "Ivan Viola", "is_teacher": true, "name": "Ivan Viola", "publications": [ "2013_Viola_Ivan_2013_MTS", "Alharbi_2021", "Artner-2004-Hig", "Artner-2005-Hig", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "bernhard-2016-gft", "birkeland_aasmund_2014_pums", "Birkeland-2012-IMC", "boffi-2024-bagginghook", "bruckner-2005-vid", "bruckner-2010-HVC", "burns-2007-fea", "cellVIEW_2015", "Chen-Information-2016", "Cornel2016CFM", "Csebfalvi-2002-FPVF", "diss-thesis-bratislava", "diss-thesis-magdeburg", "diss-thesis-siegen", "eg-tut2005-iv", "Ford-2012-HRV", "Furmanova_2018", "Gehrer-2017-molmach", "Groeller-2017-PTPMD", "Hadwiger-2002-Fas", "Halladjian_2020", "Kehl-Direct-2016", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PMP", "koch_bernhard_2018-1", "Kolesar-Fractional-2016", "kolesar-ivan-2014-polymers", "Konev-FCV2018", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "Kozlikova-Visualization-2016b", "Krone2016VABC", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "li-2019-gdc", "Masterthesis-Viola", "Mazza_2020", "Miao_2019", "miao_nantech_2019", "miao_nar_2020", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "mindek-2015-mc", "mindek-2017-marion", "mindek-2017-virtualcell", "Neumann-2002-Fea", "nguyen_2020-covid", "patel-2010-SVV", "phd-viola", "polatsek-2018-stv", "Rautek-2008-kav", "Rautek-2008-VF", "Rautek06Vis", "Reisacher2016", "ruiz-2008-OVR", "ruiz-2008-SEV", "Sarkis_2021", "Sbardellati-2019-vcbm", "sbert-2017-sa_course_0023", "seyfert-2017", "solteszova-2010-MOS", "Solteszova2016", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "toth-2007-ndd", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "vad_viktor-2017-WVE", "vad-2016-bre", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-2007-ort", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "vitruvian_2019", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Colormaps", "Waldin_Nicholas_2016_Individualization", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2019-ccm", "waldner-2014-af", "waldner-2014-ghi", "wu-2018-metabo", "wu-2018-story", "wu-2019-bmc", "wu-2019-report", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2005", "Zeng_2021" ], "publications_first": [], "project_leader": [ "Animated Cell Tab development", "exvisation", "Illustrare", "illvisation" ], "publication_field": [ { "publ_id": "2017-kouril-illcell", "field_id": "supervisor", 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To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

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To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

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Lectures are organized within a\ncomprehensive illustration framework, focusing on three main components:\n\n• Traditional and computerized illustration techniques and principles for technical and\nscientific subjects\n\n• Evaluation and practical use\n\n• Viewing & rendering\n\nPresentation of topics is balanced between descriptions of traditional methods and practices, practical implementation motivated approaches and evaluation, and detailed descriptions and analysis of illustrative techniques and algorithms. We begin in the morning with a lecture presenting an overview of traditional illustration for\ntechnical, scientific, and medical subjects. This is followed by a description of the main components in an illustrative visualization pipeline for developing systems to assist technical\nand scientific illustrators. The tutorial progresses with an overview of the techniques used in illustration as well as approaches to evaluate their use and effectiveness. 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"name": "Illustrative Visualization", "short_abstract": "In this research area, we develop rendering methods that are inspired by scientific illustrations, in order to make complex biological information more intuitive to understand and more pleasant to read.", "abstract": "Scientific illustration is concerned with researching ways in which complex biological and medical data can be abstracted in order to convey a desired information that would otherwise be impossible or hard to retrieve from the original data. 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", "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", "kloos-2026-icv", "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", "SCHUETZ-2026-CURAST", "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" } ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 250, "image_height": 260, "name": "tut-vis-2006-Image.png", "type": "image/png", "size": 92894, "path": "Publication:tut-vis-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "exvisation", "workgroup_id": "vis", "drupal_id": 4248, "drupal_path": "/research/projects/exvisation", "name": "ExVisation: Expressive Visualization of Volumetric Data", "name_de": null, "short_title": "exvisation", "website": null, "status": "active", "short_abstract": "

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

\r\n", "abstract": "

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

\r\n", "start_date": "2005-08-01", "end_date": "2009-12-31", "leader_id": 171, "logo": { "name": "logo.png", "path": "project:exvisation", "type": "image/png", "size": 13153, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/exvisation/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 18322-N04", "comment": null } ], "research_areas": [], "publications": [ "bruckner-2005-AIV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2009-IVV", "diss-thesis-bratislava", "diss-thesis-magdeburg", "diss-thesis-siegen", "eg-tut2005-iv", "Marek06", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "Rautek06Vis", "Rautek06VMLS", "ruiz-2008-OVR", "ruiz-2008-SEV", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-07-02", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-10", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "Viola-05-Smart", "viola-2006-FoA", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "xmastree2005" ], "url": "https://www.cg.tuwien.ac.at/research/projects/exvisation", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/", "__class": "Publication" }, { "id": "tut-siggraph-2006", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "SIGGRAPH Course Illustrative Visualization for Medicine and Science", "date": "2006", "abstract": "Research and recent development in computer-generated illustration techniques within non-photorealistic rendering. The course concentrates specifically on illustration methods for computer-generated technical, scientific, medical, and interactive illustrations of both surface and volumetric data. It also presents the perspective of two medical illustrators on computerized illustration.\n\nACM SIGGRAPH 2006 course page: http://www.siggraph.org/s2006/main.php?f=conference&p=courses&s=6\n\nFurther Information:\nhttp://pages.cpsc.ucalgary.ca/~mario/webpage/publ/courses.htm\n\nSee also previous tutorials on Illustrative Visualization:\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/ ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 565, "drupal_id": null, "orcid_id": null, "website": "http://pages.cpsc.ucalgary.ca/~mario/", "firstname": "Mario", "lastname": "Costa Sousa", "searchname": "Mario Costa Sousa", "is_teacher": false, "name": "Mario Costa Sousa", "publications": [ "bruckner-2010-HVC", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "Viola-vistutillustrativevis" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=565", "__class": "Author" }, { "id": 564, "drupal_id": null, "orcid_id": null, "website": "http://dynamo.ecn.purdue.edu/~ebertd/", "firstname": "David", "lastname": "Ebert", "searchname": "David Ebert", "is_teacher": false, "name": "David Ebert", "publications": [ "eg-tut2005-iv", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "Viola-vistutillustrativevis" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=564", "__class": "Author" }, { "id": 596, "drupal_id": null, "orcid_id": null, "website": "http://www.cs.northwestern.edu/~bgooch/", "firstname": "Bruce", "lastname": "Gooch", "searchname": "Bruce Gooch", "is_teacher": false, "name": "Bruce Gooch", "publications": [ "purgathofer-2005-ca", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=596", "__class": "Author" }, { "id": 171, "drupal_id": 168, "orcid_id": "0000-0003-4248-6574", "website": "https://www.cg.tuwien.ac.at/staff/IvanViola", "firstname": "Ivan", "lastname": "Viola", "searchname": "Ivan Viola", "is_teacher": true, "name": "Ivan Viola", "publications": [ "2013_Viola_Ivan_2013_MTS", "Alharbi_2021", "Artner-2004-Hig", "Artner-2005-Hig", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "bernhard-2016-gft", "birkeland_aasmund_2014_pums", "Birkeland-2012-IMC", "boffi-2024-bagginghook", "bruckner-2005-vid", "bruckner-2010-HVC", "burns-2007-fea", "cellVIEW_2015", "Chen-Information-2016", "Cornel2016CFM", "Csebfalvi-2002-FPVF", "diss-thesis-bratislava", "diss-thesis-magdeburg", "diss-thesis-siegen", "eg-tut2005-iv", "Ford-2012-HRV", "Furmanova_2018", "Gehrer-2017-molmach", "Groeller-2017-PTPMD", "Hadwiger-2002-Fas", "Halladjian_2020", "Kehl-Direct-2016", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PMP", "koch_bernhard_2018-1", "Kolesar-Fractional-2016", "kolesar-ivan-2014-polymers", "Konev-FCV2018", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "Kozlikova-Visualization-2016b", "Krone2016VABC", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "li-2019-gdc", "Masterthesis-Viola", "Mazza_2020", "Miao_2019", "miao_nantech_2019", "miao_nar_2020", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "mindek-2015-mc", "mindek-2017-marion", 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"Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-2007-ort", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "vitruvian_2019", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Colormaps", "Waldin_Nicholas_2016_Individualization", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2019-ccm", "waldner-2014-af", "waldner-2014-ghi", "wu-2018-metabo", "wu-2018-story", "wu-2019-bmc", "wu-2019-report", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2005", "Zeng_2021" ], "publications_first": [], "project_leader": [ "Animated Cell Tab development", "exvisation", "Illustrare", "illvisation" ], "publication_field": [ { "publ_id": 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"publ_id": "horvath-2018-ism", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "kapferer-2017-godot", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "klein_2019_PHD", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "klein-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "koch-2018-sso", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "koehle-2013-sgv", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "kohlmann-2009-lssl", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "kouril-2015-maya2cellview", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "kouril-2021-phdthesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Kugler_2019", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Langer_Maximillian_DMV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "LeMuzic_2016_PhD", "field_id": "reviewer_1", "ordernum": 0 }, { "publ_id": "LeMuzic_2016_PhD", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "lipp-2017-vulkan", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "malik-thesis", "field_id": "reviewer_2", "ordernum": 0 }, { "publ_id": "Matusich-2017-01", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Mazza_2021_05", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "miao_thesis_2019", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Mitterhofer_2017", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "moerth-2018-tpose", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Plank_Pascal_2015_HVP", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "plank-2017-sldg", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "puenguentzky-2014-ht", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "raidou_vcbm14", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "rasch-2016-imgses", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "rautek-2009-vmv", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": 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Every year a christmas card showing aspects of our research projects is produced and sent out.

\r\n", "start_date": "1993-12-01", "end_date": null, "leader_id": 190, "logo": { "name": "logo.png", "path": "project:xmas", "type": "image/png", "size": 315425, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/xmas/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [], "research_areas": [], "publications": [ "dvdkouril_xmas_card_2018", "freude-2015-xmc", "Habel_07_xms", "ilcik-2021-xmas", "jeschke-2011-xMasCard", "kroesl_x_card_2017", "mindek-xmas-card-2014", "mindek-xmas-card-2016", "ohrhallinger_stefan-2019-xms", "Rau08", "SCHEIBLAUER-2009-xmas", "x-mas-2013", "xmas-1993", "xmas-1994", "xmas-1995", "xmas-1996", "xmas-1997", "xmas-1998", "xmas-1999", "xmas-2000", "xmas-2001", "xmas-2002", "xmas-2003", "xmas-2004", "xmas-2005", "xmas-2006", "xmas-2010", "xmas-2012", "xmas-2022", "xmas-2023", "xmas-2024", "xmastree2002", "xmastree2005" ], "url": "https://www.cg.tuwien.ac.at/research/projects/xmas", "__class": "Project" }, { "id": "exvisation", "workgroup_id": "vis", "drupal_id": 4248, "drupal_path": "/research/projects/exvisation", "name": "ExVisation: Expressive Visualization of Volumetric Data", "name_de": null, "short_title": "exvisation", "website": null, "status": "active", "short_abstract": "

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

\r\n", "abstract": "

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

\r\n", "start_date": "2005-08-01", "end_date": "2009-12-31", "leader_id": 171, "logo": { "name": "logo.png", "path": "project:exvisation", "type": "image/png", "size": 13153, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/exvisation/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P 18322-N04", "comment": null } ], "research_areas": [], "publications": [ "bruckner-2005-AIV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2009-IVV", "diss-thesis-bratislava", "diss-thesis-magdeburg", "diss-thesis-siegen", "eg-tut2005-iv", "Marek06", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "Rautek06Vis", "Rautek06VMLS", "ruiz-2008-OVR", "ruiz-2008-SEV", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-07-02", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-10", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "Viola-05-Smart", "viola-2006-FoA", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "xmastree2005" ], "url": "https://www.cg.tuwien.ac.at/research/projects/exvisation", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/xmastree2005/", "__class": "Publication" }, { "id": "bruckner-2005-vid", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "VolumeShop: Interactive Direct Volume Illustration", "date": "2005-08", "abstract": "Illustrations play a major role in the education process. Whether used to teach a surgical or radiologic procedure, to illustrate normal or aberrant anatomy, or to explain the functioning of a technical device, illustration significantly impacts learning. Many specimen are readily available as volumetric data sets, particular in medicine. Illustrations, however, are commonly produced manually as static images in a time-consuming process. Our goal is to create a fully dynamic three-dimensional illustration environment which directly operates on volume data. Single images have the aesthetic appeal of traditional illustrations, but can be interactively altered and explored. We present methods to realize such a system which combines artistic visual styles and expressive visualization techniques. Our implementation exploits the latest generation of GPUs and, thus, is capable of handling commonly sized data sets at interactive frame rates. 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To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

\r\n", "abstract": "

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

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The key idea is to classify the underlying data according to its prominence on the resulting visualization by importance value. The importance property drives the visualization pipeline to emphasize the most prominent features and to suppress the less relevant ones. The suppression can be realized globally, so the whole object is suppressed, or locally. A local modulation generates cut-away and ghosted views because the suppression of less relevant features occurs only on the part where the occlusion of more important features appears.\n\nFeatures within the volumetric data are classified according to a new imension denoted as object importance. This property determines which structures should be readily discernible and which structures are less important. Next, for each feature various representations (levels of sparseness) from a dense to a sparse depiction are defined. Levels of sparseness define a spectrum of optical properties or rendering styles. The resulting image is generated by ray-casting and combining the intersected features proportional to their importance. An additional step to traditional volume rendering evaluates the areas of occlusion and assigns a particular level of sparseness. This step is denoted as importance compositing. Advanced schemes for importance compositing determine the resulting visibility of features and if the resulting visibility distribution does not correspond to the importance distribution different levels of sparseness are selected.\n\nThe applicability of importance-driven visualization is demonstrated\non several examples from medical diagnostics scenarios, flow visualization, and interactive illustrative visualization. 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To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

\r\n", "abstract": "

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

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Visual emphasis and abstraction has been used for expressive\npresentation from prehistoric paintings to nowadays scientific and medical illustrations. Many of the expressive\ntechniques used in art are adopted in computer graphics, and are denoted as illustrative or non-photorealistic\nrendering. Different stroke techniques, or brush properties express a particular level of abstraction. Feature emphasis\nor feature suppression is achieved by combining different abstraction levels in illustrative rendering.\nChallenges in visualization research are very large data visualization as well as multi-dimensional data visualization.\nTo effectively convey the most important visual information there is a significant need for visual abstraction.\nFor less relevant information the dedicated image space is reduced to enhance more prominent features. The discussed techniques in the context of scientific visualization are based on iso-surfaces and volume rendering. Apart\nfrom visual abstraction, i.e., illustrative representation, the visibility of prominent features can be achieved by illustrative visualization techniques such as cut-away views or ghosted views. The structures that occlude the most prominent information are suppressed in order to clearly see more interesting parts. Another smart way to provide information on the data is using exploded views or other types of deformation. Illustrative visualization is demonstrated via application-specific tasks in medical visualization. An important aspect\nas compared to traditional medical illustrations is the interactivity and real-time manipulation of the acquired\npatient data. This can be very useful in anatomy education. Another application area is surgical planning which\nis demonstrated with two case studies: neck dissection and liver surgery planning.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 81, "name": "eg-tut2005-iv-image.jpg", "type": "image/jpeg", "size": 4401, "path": "Publication:eg-tut2005-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 171, "drupal_id": 168, "orcid_id": "0000-0003-4248-6574", "website": "https://www.cg.tuwien.ac.at/staff/IvanViola", "firstname": "Ivan", "lastname": "Viola", "searchname": "Ivan 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"waldin-2019-ccm", "waldner-2014-af", "waldner-2014-ghi", "wu-2018-metabo", "wu-2018-story", "wu-2019-bmc", "wu-2019-report", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2005", "Zeng_2021" ], "publications_first": [], "project_leader": [ "Animated Cell Tab development", "exvisation", "Illustrare", "illvisation" ], "publication_field": [ { "publ_id": "2017-kouril-illcell", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Artner-2005-Thesis", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "balabanian-2009-mav", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Balduz_01", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "dietrich-2016-viseq2", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "gangl-2018-gpsart", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Gehrer_Daniel_CUI", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Gehrer-2017", "field_id": "supervisor", "ordernum": 0 }, { 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"weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 81, "name": "eg-tut2005-iv-image.jpg", "type": "image/jpeg", "size": 4401, "path": "Publication:eg-tut2005-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Tutorial Notes", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eg-tut2005-iv-Tutorial Notes.pdf", "type": "application/pdf", "size": 18410027, "path": "Publication:eg-tut2005-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-Tutorial Notes.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-Tutorial Notes:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "exvisation", "workgroup_id": "vis", "drupal_id": 4248, "drupal_path": "/research/projects/exvisation", "name": "ExVisation: Expressive Visualization of Volumetric Data", "name_de": null, "short_title": "exvisation", "website": null, "status": "active", "short_abstract": "

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

\r\n", "abstract": "

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

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Such techniques\nexploit the perception of the human visual system and provide effective visual abstractions to make the visualization clearly understandable. Visual emphasis and abstraction has been used for expressive presentation from prehistoric paintings to nowadays scientific and medical illustrations. Many of the expressive techniques\nused in art are adopted in computer graphics, and are denoted as\nillustrative or non-photorealistic rendering. Different stroke techniques,\nor brush properties express a particular level of abstraction. Feature emphasis or feature suppression is achieved by combining different abstraction levels in illustrative rendering. Challenges in visualization research are very large data visualization as well as multi-dimensional data visualization. To effectively convey the most important visual information there is a significant need for visual abstraction. For less relevant information the dedicated image space is reduced to enhance more prominent features. The discussed techniques in the context of scientic visualization are based on iso-surfaces and volume rendering. Apart\nfrom visual abstraction, i.e., illustrative representation, the visibility of prominent features can be achieved by illustrative visualization\ntechniques such as cut-away views or ghosted views. The structures that occlude the most prominent information are suppressed in order to clearly see more interesting parts. A different smart way to provide information on the data is using exploded views or other\ntypes of deformation. Furthermore intuitive feature classification via 3D painting and manipulation with the classified data including label placement is presented. Discussed non-photorealistic and illustrative techniques from visualization and graphics are shown from the perspective as tools for illustrators from medicine, botany, archeology, and zoology. The limitations of existing NPR systems for science illustration are highlighted, and proposals for possible new directions are made.\nIllustrative visualization is demonstrated via application-specific tasks in medical visualization. An important aspect as compared to traditional medical illustrations is the interactivity and real-time manipulation of the acquired patient data. This can be very useful in anatomy education. Another application area is surgical planning which is demonstrated with two case studies: neck dissection and\nliver surgery planning.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 544, "image_height": 304, "name": "Viola-vistutillustrativevis-image.jpg", "type": "image/jpeg", "size": 63961, "path": "Publication:Viola-vistutillustrativevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ { "id": 171, "drupal_id": 168, "orcid_id": "0000-0003-4248-6574", "website": 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To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

\r\n", "abstract": "

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

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The key idea is to classify the underlying data according to its prominence on the resulting visualization by importance value. The importance property drives the visualization pipeline to emphasize the most prominent features and to suppress the less relevant ones. The suppression can be realized globally, so the whole object is suppressed, or locally. A local modulation generates cut-away and ghosted views because the suppression of less relevant features occurs only on the part where the occlusion of more important features appears.\n\nFeatures within the volumetric data are classified according to a new imension denoted as object importance. This property determines which structures should be readily discernible and which structures are less important. Next, for each feature various representations (levels of sparseness) from a dense to a sparse depiction are defined. Levels of sparseness define a spectrum of optical properties or rendering styles. The resulting image is generated by ray-casting and combining the intersected features proportional to their importance. An additional step to traditional volume rendering evaluates the areas of occlusion and assigns a particular level of sparseness. This step is denoted as importance compositing. Advanced schemes for importance compositing determine the resulting visibility of features and if the resulting visibility distribution does not correspond to the importance distribution different levels of sparseness are selected.\n\nThe applicability of importance-driven visualization is demonstrated\non several examples from medical diagnostics scenarios, flow visualization, and interactive illustrative visualization. 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"https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-siegen/diss-thesis-siegen-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-siegen/diss-thesis-siegen-image:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "exvisation", "workgroup_id": "vis", "drupal_id": 4248, "drupal_path": "/research/projects/exvisation", "name": "ExVisation: Expressive Visualization of Volumetric Data", "name_de": null, "short_title": "exvisation", "website": null, "status": "active", "short_abstract": "

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

\r\n", "abstract": "

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

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The key idea is to classify the underlying data according to its prominence on the resulting visualization by importance value. The importance property drives the visualization pipeline to emphasize the most prominent features and to suppress the less relevant ones. The suppression can be realized globally, so the whole object is suppressed, or locally. A local modulation generates cut-away and ghosted views because the suppression of less relevant features occurs only on the part where the occlusion of more important features appears.\n\nFeatures within the volumetric data are classified according to a new imension denoted as object importance. This property determines which structures should be readily discernible and which structures are less important. Next, for each feature various representations (levels of sparseness) from a dense to a sparse depiction are defined. Levels of sparseness define a spectrum of optical properties or rendering styles. The resulting image is generated by ray-casting and combining the intersected features proportional to their importance. An additional step to traditional volume rendering evaluates the areas of occlusion and assigns a particular level of sparseness. This step is denoted as importance compositing. Advanced schemes for importance compositing determine the resulting visibility of features and if the resulting visibility distribution does not correspond to the importance distribution different levels of sparseness are selected.\n\nThe applicability of importance-driven visualization is demonstrated\non several examples from medical diagnostics scenarios, flow visualization, and interactive illustrative visualization. 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To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

\r\n", "abstract": "

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

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This talk covers two important aspects of illustrative visualization of volume data: exploration and communication. Exploration deals with techniques for the rapid visualization of data with limited or no prior knowledge about the nature and/or structure of the data. Communication, on the other hand, is concerned with conveying complex structures or relationships to individuals. 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To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

\r\n", "abstract": "

To develop novel methods for automatically generating expressive visualizations of complex volumetric data.

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