[ { "id": "Radwan_2021_Occ", "type_id": "journalpaper", "tu_id": 300508, "repositum_id": "20.500.12708/58637", "title": "Fast occlusion-based point cloud exploration", "date": "2021-09", "abstract": "Large-scale unstructured point cloud scenes can be quickly visualized without prior reconstruction by utilizing levels-of-detail structures to load an appropriate subset from out-of-core storage for rendering the current view. However, as soon as we need structures within the point cloud, e.g., for interactions between objects, the construction of state-of-the-art data structures requires O(NlogN) time for N points, which is not feasible in real time for millions of points that are possibly updated in each frame. Therefore, we propose to use a surface representation structure which trades off the (here negligible) disadvantage of single-frame use for both output-dominated and near-linear construction time in practice, exploiting the inherent 2D property of sampled surfaces in 3D. This structure tightly encompasses the assumed surface of unstructured points in a set of bounding depth intervals for each cell of a discrete 2D grid. The sorted depth samples in the structure permit fast surface queries, and on top of that an occlusion graph for the scene comes almost for free. This graph enables novel real-time user operations such as revealing partially occluded objects, or scrolling through layers of occluding objects, e.g., walls in a building. As an example application we showcase a 3D scene exploration framework that enables fast, more sophisticated interactions with point clouds rendered in real time.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 533, "image_height": 746, "name": "Radwan_2021_Occ-.png", "type": "image/png", "size": 645321, "path": "Publication:Radwan_2021_Occ", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Radwan_2021_Occ/Radwan_2021_Occ-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Radwan_2021_Occ/Radwan_2021_Occ-:thumb{{size}}.png" }, "sync_repositum_override": "date", "authors": [ { "id": 923, "drupal_id": 281, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/MohamedRadwan", "firstname": "Mohamed", "lastname": "Radwan", "searchname": "Mohamed Radwan", 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The core idea in this project is to capture the shape of physical objects in real time, with guaranteed precision, and to reconstruct the shape boundaries with minimal geometry. An example application is to let untrained users acquire shapes using emerging mobile sensing devices such as Google’s Project Tango. The user moves the sensor around the object, guided by immediate visual feedback on the input sampling quality. The output is a topologically clean mesh consisting of just the vertices required to represent its features to the desired approximation. The real-time reconstruction enables numerous geometry-processing applications to be taken online, such as shape retrieval/matching, harvesting real-world geometry into a cloud, perspective photo correction, interactive modeling, augmented reality, physics simulation, or fabrication.
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In this paper, we present our research on utilization of augmented reality for interactive and personalized furnishing. We propose a new algorithm for automated interior design which generates sensible and personalized furniture configurations. This algorithm is combined with mobile augmented reality system to provide a user with an interactive interior design try-out tool. Personalized design is achieved via a recommender system which uses user preferences and room data as input. We conducted three user studies to explore different aspects of our research. The first study investigated the user preference between augmented reality and on-screen visualization for interactive interior design. In the second user study, we studied the user preference between our algorithm for automated interior design and optimization-based algorithm. Finally, the third study evaluated the probability of sensible design generation by the compared algorithms. The main outcome of our research suggests that augmented reality is viable technology for interactive home furnishing.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "ARDesign", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1001, "image_height": 678, "name": "Kan_Peter-2021-MDPI-ARDesign.jpg", "type": "image/jpeg", "size": 373887, "path": "Publication:Kan_Peter-2021-MDPI", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-MDPI/Kan_Peter-2021-MDPI-ARDesign.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-MDPI/Kan_Peter-2021-MDPI-ARDesign:thumb{{size}}.png" }, "sync_repositum_override": null, "authors": [ { "id": 1720, "drupal_id": 1549, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/PeterKan", "firstname": "Peter", "lastname": "Kán", "searchname": "Peter Kán", "is_teacher": false, "name": "Peter Kán", "publications": [ "adolf-2019-jug", "Honic_2021", "Kan_Peter-2021-BuildingMonitoring", "Kan_Peter-2021-MDPI", "kan-2019-dli", "Mirzaei_Mohammad-2021", "Mirzaei_Mohammad-2021-HeadUp", "Mirzaei_Mohammadreza_2020-EVR", "Mirzaei_Mohhamad-2021", "Reisinger_Julia-2021-parametricscript", "Reisinger-2021-JOBE", "Sebernegg2020", "sorger-2021-egonet" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "unterguggenberger-2016-realmar", "field_id": "co_supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1720", "__class": "Author" }, { "id": 1872, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Andrija", "lastname": "Kurtic", "searchname": "Andrija Kurtic", "is_teacher": false, "name": "Andrija Kurtic", "publications": [ "Kan_Peter-2021-MDPI" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1872", "__class": "Author" }, { "id": 923, "drupal_id": 281, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/MohamedRadwan", "firstname": "Mohamed", "lastname": "Radwan", "searchname": "Mohamed Radwan", "is_teacher": false, "name": "Mohamed Radwan", "publications": [ "Kan_Peter-2021-MDPI", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Doerflinger-2016-CDV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Radwan_2021_Occ", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Radwan-2017-Occ", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=923", "__class": "Author" }, { "id": 1873, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Jorge M. Loáiciga", "lastname": "RodrÃguez", "searchname": "Jorge M. Loáiciga RodrÃguez", "is_teacher": false, "name": "Jorge M. Loáiciga RodrÃguez", "publications": [ "Kan_Peter-2021-MDPI" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1873", "__class": "Author" } ], "doi": "10.3390/electronics10030245", "journal": "Electronics", "number": "3", "open_access": "yes", "pages_from": "1", "pages_to": "17", "volume": "10", "research_areas": [ { "id": "VR", "drupal_id": 4126, "name": "Virtual Reality", "short_abstract": "In this area, we focus on user experiences and rendering algorithms for virtual reality environments, including methods to navigate and collaborate in VR, foveated rendering, exploit human perception and simulate visual deficiencies.
", "abstract": "In this area, we focus on user experiences and rendering algorithms for virtual reality environments, including methods to navigate and collaborate in VR, foveated rendering, exploit human perception and simulate visual deficiencies.
", "website": "https://www.cg.tuwien.ac.at/research/area/VR", "teaser": null, "workgroups": [ "rend", "vis" ], "publications": [ "adolf-2019-jug", "Alharbi_2021", "Bayer_Alexander_2021_FTiVR", "Goellner_2019-ABC", "hladky-2022-QS", "Kan_Peter-2021-MDPI", "kan-2019-dli", "Kathi-2018-VRB", "Kovacs_2020", "Kroesl_2020_11_09", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "medeiros-2023-gwf", "Mirzaei_Mohammadreza_2020-EVR", "Mortezapoor2021ssc", "panfili-2019-VAVR", "perl_oskar_2021_DVR", "pirch_2021_VRN", "podkosova_2022_bimflexi-vr", "Prossenitsch_2019-1", "reimer-2020-CBG", "reimer-2021-CVR", "Schoenauer_2020_POI", "schuller_reichl-2019-avt", "Sebernegg2020", "sorger-2021-egonet", "Sprung_2021", "Vasylevska2020VRB", "Vonach021" ], "projects": [ "BimFlexi", "d4322", "d9275", "EU U-CREATE", "EvaluARte", "MARG", "Superhumans" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=VR", "__class": "ResearchArea" } ], "keywords": [ "interior design", "augmented reality", "3D content generation", "user study", "personalized recommender" ], "weblinks": [ { "href": "https://www.mdpi.com/2079-9292/10/3/245", "caption": "Paper link", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "ARDesign", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1001, "image_height": 678, "name": "Kan_Peter-2021-MDPI-ARDesign.jpg", "type": "image/jpeg", "size": 373887, "path": "Publication:Kan_Peter-2021-MDPI", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-MDPI/Kan_Peter-2021-MDPI-ARDesign.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-MDPI/Kan_Peter-2021-MDPI-ARDesign:thumb{{size}}.png" } ], "projects_workgroups": [], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-MDPI/", "__class": "Publication" }, { "id": "Radwan-2017-Occ", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Cut and Paint: Occlusion-Aware Subset Selection for Surface Processing", "date": "2017-05", "abstract": "User-guided surface selection operations are straightforward for visible regions on a convex model. However, concave surfaces present a challenge because self-occlusions require multiple camera positions to get unobstructed views. Therefore, users often have to locate and switch to new unobstructed views in order to continue the operation. Our novel approach enables operations like painting or cutting in a single view, even on the backside of objects and for arbitrary depth complexity, with interactive performance. Continuous projection of a curve drawn in screen space onto the mesh guarantees seamless brush strokes or manifold cuts, unaffected by any occlusions.\n\nOur occlusion-aware surface-processing method enables a number of applications in an easy way. As examples, we show continuous painting on the surface, selecting regions for texturing, creating illustrative cutaways from nested models and animation of cutaways.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Occlusion-aware generation of a cutaway illustration.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1964, "image_height": 2040, "name": "Radwan-2017-Occ-image.jpg", "type": "image/jpeg", "size": 735971, "path": "Publication:Radwan-2017-Occ", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-image:thumb{{size}}.png" }, "sync_repositum_override": null, "authors": [ { "id": 923, "drupal_id": 281, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/MohamedRadwan", 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"field_id": "supervisor", "ordernum": 0 }, { "publ_id": "wiesinger-2023-gcg", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Wimmer-1999-FWIa", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Wimmer-2001-CCL", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Wimmer-2001-Poi", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Wimmer-2003-RTE", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Wimmer-2004-LSPM", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "WIMMER-2006-DWN", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "WIMMER-2006-IP", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "wimmer-2023-acd", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "WINKLER-2013-AMO", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Winkler-2017", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "WINKLER-2019-PDG", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "winklhofer_christoph-2013-RRMR", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "wonka-2000-VisP", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "Wonka-2001-Ins", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "Wonka-2003-Ins", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "WONKA-2006-GVS", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "ZAU14", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "zeilinger_matthias-2020-baa", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Zezulka_Matthias-2023-MatLabOptInterface", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "ZL_2011_IVIG", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "zsolnai-feher-thesis-2019", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=193", "__class": "Author" } ], "booktitle": "Proceedings of Graphics Interface 2017", "date_from": "2017-05-17", "date_to": "2017-05-19", "doi": "10.20380/GI2017.11", "event": "Graphics Interface 2017", "lecturer": [ { "id": 923, "drupal_id": 281, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/MohamedRadwan", "firstname": "Mohamed", "lastname": "Radwan", "searchname": "Mohamed Radwan", "is_teacher": false, "name": "Mohamed Radwan", "publications": [ "Kan_Peter-2021-MDPI", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "Doerflinger-2016-CDV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Radwan_2021_Occ", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Radwan-2017-Occ", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=923", "__class": "Author" } ], "location": "Edmonton, Alberta, CA", "pages_from": "82", "pages_to": "89", "publisher": "Canadian Human-Computer Communications Society / Soci{\\'e}t{\\'e} canadienne du dialogue humain-machine", "research_areas": [ { "id": "Geometry", "drupal_id": 4129, "name": "Geometry Processing", "short_abstract": "Uses concepts from applied mathematics and computer science to design efficient algorithms for the reconstruction, analysis, manipulation, simulation and transmission of complex 3D models. Example applications are collision detection, reconstruction, compression, occlusion-aware surface handling and improved sampling conditions.", "abstract": "We perform research in surface reconstruction from point clouds, geometry processing and geometry representations. We use parallel processing of thousands of GPU cores to enable flash geometry operations in real-time.\nNovel data structures are evaluated to reduce the time complexity of geometric operations, such as collision detection or occlusion-aware surface processing.\nIn computational geometry, we prove concepts relating samples to curves and manifolds. We also research novel surface description paradigms and according operators, representing large point cloud data in a probabilistic way. ", "website": "https://www.cg.tuwien.ac.at/research/area/Geometry", "teaser": { "name": "teaser.png", "path": "research_area:Geometry", "type": "image/png", "size": 168072, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Geometry/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "aichner-2016-sadf", "arikan-2013-osn", "brunner_lukas_2022_ssb", "celarek-2022-gmcn", "clemenz_2019_rosy_fields", "cornel-2022-wih", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Doerflinger-2016-CDV", "elagrod_ahmed-baa", "erler_2024_ppsurf", "erler_philipp-2017-phd", "erler-2020-p2s", "forsythe-2016-ccm", "fraissl_niklas-2023-pra", "gamsjaeger-2022-proc", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Guerrero-2014-TPS", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", "ILCIK-phdthesis", "kapferer_2021_advancing", "Kellner-2021-DA", "kerbl-2022-trienc", "koeppel-2016-baa", "kohlhas_jakob-2023-pra", "konrad-2020-baa", "Kugler_2019", "laager_florian-2014-daa", "lang_jakob-2022-baa", "Laschober-2018", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-rpe", "leimer-2018-sar", "loeffelmann-1995-para", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "markovich_aleksandar-2022-maa", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "mazza-2012-bakk", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2016_sosp", "musialski-2012-sur", "musialski-2013-surcgf", "negi_ashish-2023-baa", "novak_martin-2018-baa", "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-2019-xms", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-stefan-2012-the", "pegrisch_2018_uvs", "pichler_2022_fro", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "preiner_2012_AS", "preiner_2017_phd", "Preiner_2019", "preiner2014clop", "prohaska_julia-2023-baa", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "rait_alexius-2021-baa", "REICHHOLF-2023-HRO", "reiher_joerg-2023-pra", "reinwald-2017-baa", "Reisner_2013_RSB", "riegler_2020_framework", "roth_vdi", "rubik_michael-2022-baa", "rumpelnik_martin_2020_PRM", "schaffarz_2018-pra", "schartmueller_2018_baa", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "Schmalstieg-1996-LOB", "Schmalstieg-1997-SMO", "scholz_2017_bac", "SCHUETZ-2022-PCC", "schuh-2018-mesh-blending", "sippl-2014-fss", "steiner_2016_isad", "steinschauer-2020-baa", "steinschorn-2023-p2m", "Tobler-1995-AAC", "Tobler-1995-BGD", "tobler02_amrmg", "Traxler-1996-CTB", "unterguggenberger-2021-msh", "Vucenovic_2022", "WEYDEMANN-2016-NUO", "wiesinger_klemens-2023-baa", "Wimmer-1998-SMO", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2016-HARVEST4D", "withalm_brigitte-2022-baa", "zeilinger_matthias-2020-baa" ], "projects": [ "3DSpatialization", "d4388", "d9275", "EVOCATION", "GameTools", "Harvest4D", "SCI_BIM", "ShapeAcquisition", "Superhumans", "TERAPOINTS", "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Geometry", "__class": "ResearchArea" }, { "id": "IllVis", "drupal_id": 4131, "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", "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", "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", "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": "Occlusion-aware generation of a cutaway illustration.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1964, "image_height": 2040, "name": "Radwan-2017-Occ-image.jpg", "type": "image/jpeg", "size": 735971, "path": "Publication:Radwan-2017-Occ", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Radwan-2017-Occ-paper.pdf", "type": "application/pdf", "size": 5813944, "path": "Publication:Radwan-2017-Occ", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-paper:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "ShapeAcquisition", "workgroup_id": "rend", "drupal_id": 4173, "name": "Real-Time Shape Acquisition with Sensor-Specific Precision", "name_de": null, "website": null, "status": "active", "short_abstract": "Acquiring shapes of physical objects in real time and with guaranteed precision to the noise model of the sensor devices.", "abstract": "The core idea in this project is to capture the shape of physical objects in real time, with guaranteed precision, and to reconstruct the shape boundaries with minimal geometry. An example application is to let untrained users acquire shapes using emerging mobile sensing devices such as Google’s Project Tango. The user moves the sensor around the object, guided by immediate visual feedback on the input sampling quality. The output is a topologically clean mesh consisting of just the vertices required to represent its features to the desired approximation. The real-time reconstruction enables numerous geometry-processing applications to be taken online, such as shape retrieval/matching, harvesting real-world geometry into a cloud, perspective photo correction, interactive modeling, augmented reality, physics simulation, or fabrication.
\r\n", "start_date": "2015-12-01", "end_date": "2020-11-30", "leader_id": 193, "logo": { "name": "logo.jpg", "path": "project:ShapeAcquisition", "type": "image/jpeg", "size": 20004, "orig_name": "logo.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/ShapeAcquisition/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P24600-N23", "comment": null } ], "research_areas": [ "Geometry" ], "publications": [ "erler_2024_ppsurf", "erler_philipp-2017-phd", "erler-2020-p2s", "forsythe-2016-ccm", "grossmann-2016-baa", "gruber_horst-2019-baa", "koeppel-2016-baa", "novak_martin-2018-baa", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger-2016-sgp", "pointner_michael-2017-baa", "Radwan_2021_Occ", "Radwan-2017-Occ", "reinwald-2017-baa", "schaffarz_2018-pra", "schartmueller_2018_baa" ], "url": "https://www.cg.tuwien.ac.at/research/projects/ShapeAcquisition", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/", "__class": "Publication" }, { "id": "Radwan-2014-CDR", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Efficient Collision Detection While Rendering Dynamic Point Clouds", "date": "2014-05", "abstract": "A recent trend in interactive environments is the use of unstructured\nand temporally varying point clouds. This is driven by both\naffordable depth cameras and augmented reality simulations. One\nresearch question is how to perform collision detection on such\npoint clouds. State-of-the-art methods for collision detection create\na spatial hierarchy in order to capture dynamic point cloud surfaces,\nbut they require O(NlogN) time for N points. We propose\na novel screen-space representation for point clouds which exploits\nthe property of the underlying surface being 2D. In order for dimensionality\nreduction, a 3D point cloud is converted into a series\nof thickened layered depth images. This data structure can be constructed\nin O(N) time and allows for fast surface queries due to\nits increased compactness and memory coherency. On top of that,\nparts of its construction come for free since they are already handled\nby the rendering pipeline. As an application we demonstrate\nonline collision detection between dynamic point clouds. 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The digital model of an artifact (an object, a building,up to an entire city) is produced by planning a specific scanning campaign, carefully selecting the (often costly) acquisition devices, performing the on-site acquisition at the required resolution and then post-processing the acquired data to produce a beautified triangulated and textured model. However, in the future we will be faced with the ubiquitous availability of sensing devices that deliver different data streams that need to be processed and displayed in a new way, for example smartphones, commodity stereo cameras, cheap aerial data acquisition devices, etc. We therefore propose a radical paradigm change in acquisition and processing technology: instead of a goal-driven acquisition that determines the devices and sensors, we let the sensors and resulting available data determine the acquisition process. Data acquisition might become incidental to other tasks that evices/people to which sensors are attached carry out. 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Example applications are collision detection, reconstruction, compression, occlusion-aware surface handling and improved sampling conditions.", "abstract": "We perform research in surface reconstruction from point clouds, geometry processing and geometry representations. We use parallel processing of thousands of GPU cores to enable flash geometry operations in real-time.\nNovel data structures are evaluated to reduce the time complexity of geometric operations, such as collision detection or occlusion-aware surface processing.\nIn computational geometry, we prove concepts relating samples to curves and manifolds. We also research novel surface description paradigms and according operators, representing large point cloud data in a probabilistic way. 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"WEYDEMANN-2016-NUO", "wiesinger_klemens-2023-baa", "Wimmer-1998-SMO", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2016-HARVEST4D", "withalm_brigitte-2022-baa", "zeilinger_matthias-2020-baa" ], "projects": [ "3DSpatialization", "d4388", "d9275", "EVOCATION", "GameTools", "Harvest4D", "SCI_BIM", "ShapeAcquisition", "Superhumans", "TERAPOINTS", "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Geometry", "__class": "ResearchArea" } ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ { "id": "rend", "drupal_id": 1355, "name": "Rendering and Modeling", "website": "https://www.cg.tuwien.ac.at/group/Rendering-and-Modeling", "projects": [ "3DSpatialization", "CROSSMOD", "d4307", "d4314", "d4342", "d4386", "d4388", "d4559", "d4729", "d4958", "d4984", "d9259", "d9493", "d9671", "d9691", "Desiree", "EU U-CREATE", "EU Virtual Showcases", "EVOCATION", "GameTools", "GAMEWORLD", "GPV", "Harvest4D", "INTRA-SPACE", 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"auzinger-2015-utokyo", "auzinger-dissertation", "auzinger-thesis", "bagar_2008", "BAGAR-2010-LPB", "bagar2010", "BARSUKOV-2010-NEPC", "bauchinger-2007-mre", "Bauer_Dominik_2018_VR", "BAUER-2009-AFSS", "beck-2007-melk", "beham_2009.2009-EVS", "BEHAM-2014-RCR", "Bernhard_Matthias_2014_VAC", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "birsak-2017-dpe", "Birsak-Michael-2012", "birsak-thesis", "birsak-thesis", "Birsak2018-SA", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "Bogner-2008-MTh", "boindl_2013", "BOKSANSKY-2019-RTS", "BORZA-2012-Stellarium", "Brandorff_06_PON", "Brandorff_06_SKIN", "brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", "Druml-2013-3DrC", "dusberger-2010-msm", "eibens-2021-tsgpmg", "eibensteiner-2016-pmg", "eibensteiner-2021-pmcg", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "Fritz-2012", "fruehstueck-2008-gpu", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "hanko-2019-ani", "HANN_2022_IPT", "Hartl_2006_OgC", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kapferer_2021_advancing", "Kathi-2018-VRB", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "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", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "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", "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", "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", "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-thesis", "markovich_aleksandar-2022-maa", "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", "MeierStauffer-2013-iihf", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "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", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "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-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", "Pajer-2006-tmcg", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "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", "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", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "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", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "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", "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-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", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "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", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "Schwengerer_Mathias-2022-BGL", "seidemann-bachelor-2013", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2020-parameter", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "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", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "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", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "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", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "zhang_le-2010-IGA", "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/2011/radwan-thesis/", "__class": "Publication" } ]