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This paper not only introduces the first such algorithm which provides user-control and quantifiable precision but also highlights the importance of such a sampling process under two key contexts: 1) To conduct a first study comparing theoretical sampling conditions with practical sampling requirements for reconstruction guarantees that can further be used for analysing the upper bounds of ε for various reconstruction algorithms with or without proofs, 2) As a feature-aware sampling of vector line art that can be used for applications such as coloring and meshing. 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"short_abstract": "Vision: reconstruct a model of the world that permits online level-of-detail extraction.", "abstract": "Vision: reconstruct a model of the world that permits online level-of-detail extraction. 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"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", 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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": [ "lidar", "point cloud", "registration" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 525, "image_height": 407, "name": "rubik_michael-2022-baa-image.png", "type": "image/png", "size": 320696, "path": "Publication:rubik_michael-2022-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rubik_michael-2022-baa/rubik_michael-2022-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rubik_michael-2022-baa/rubik_michael-2022-baa-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": true, "access": "public", "name": "rubik_michael-2022-baa-thesis.pdf", "type": "application/pdf", "size": 4799027, "path": "Publication:rubik_michael-2022-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rubik_michael-2022-baa/rubik_michael-2022-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rubik_michael-2022-baa/rubik_michael-2022-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "WorldScale", "workgroup_id": "rend", "drupal_id": 4158, "name": "Modeling the World at Scale", "name_de": "Modellierung der Welt nach Maß", "website": null, "status": "active", "short_abstract": "Vision: reconstruct a model of the world that permits online level-of-detail extraction.", "abstract": "Vision: reconstruct a model of the world that permits online level-of-detail extraction. The core idea in this project is to interactively integrate sensed 3D data of varying sources and scales into a topologically clean surface. Our varying-scale model then permits online extraction of seamless levels of detail for rendering with minimal aliasing and popping artifacts. For this, we develop new topological guarantees to minimize the needed geometry. By exploiting the inherent redundancy of 2D surfaces in 3D, we design a fast way to robustly detect changes that let users better control the scan acquisition process. The topologically clean output surface and the change detection permit easy processing of the geometry for common use cases such as autonomous navigation, environment learning, augmented reality displays of georeferenced semantic information. An example application is fusing and distributing scans from the built-in sensors of multiple autonomous vehicles (ground, air), for incidental map updating as well as guaranteed efficient collision detection and tracking changes for path planning.
\r\n", "start_date": "2020-05-01", "end_date": "2026-04-30", "leader_id": 948, "logo": { "name": "logo.jpg", "path": "project:WorldScale", "type": "image/jpeg", "size": 64953, "orig_name": "logo.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/WorldScale/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "WWTF", "contract_number": "ICT19-009", "comment": "€ 578.450" } ], "research_areas": [ "Geometry" ], "publications": [ "depner_dennis-2020-baa", "depner_dennis-2022-maa", "elagrod_ahmed-baa", "fraissl_niklas-2023-pra", "kohlhas_jakob-2023-pra", "konrad-2020-baa", "lang_jakob-2022-baa", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "markovich_aleksandar-2022-maa", "mayr_patrick_maa", "mujadzic-2023-hfp", "negi_ashish-2023-baa", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "pointner_simon-2022-maa", "prohaska_julia-2023-baa", "reiher_joerg-2023-pra", "rubik_michael-2022-baa", "steinschauer-2020-baa", "wiesinger_klemens-2023-baa", "withalm_brigitte-2022-baa", "zeilinger_matthias-2020-baa" ], "url": "https://www.cg.tuwien.ac.at/research/projects/WorldScale", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rubik_michael-2022-baa/", "__class": "Publication" }, { "id": "marin-2022-sigdt", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/175713", "title": " SIGDT: 2D Curve Reconstruction", "date": "2022-10-05", "abstract": "Determining connectivity between points and reconstructing their shape boundaries are long-standing problems in computer graphics. One possible approach to solve these problems is to use a proximity graph. We propose a new proximity graph computed by intersecting the to-date rarely used proximity-based graph called spheres-of-influence graph (SIG) with the Delaunay triangulation (DT). We prove that the resulting graph, which we name SIGDT, contains the piece-wise linear reconstruction for a set of unstructured points in the plane for a sampling condition superseding current bounds and capturing well practical point sets' properties. As an application, we apply a dual of boundary adjustment steps from the CONNECT2D algorithm to remove the redundant edges. We show that the resulting algorithm SIG-CONNECT2D yields the best reconstruction accuracy compared to state-of-the-art algorithms from a recent comprehensive benchmark, and the method offers the potential for further improvements, e.g., for surface reconstruction.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 7066, "image_height": 3125, "name": "marin-2022-sigdt-Teaser.png", "type": "image/png", "size": 457323, "path": "Publication:marin-2022-sigdt", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sigdt/marin-2022-sigdt-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sigdt/marin-2022-sigdt-Teaser:thumb{{size}}.png" }, "sync_repositum_override": "issn", "authors": [ { "id": 1848, "drupal_id": 3143, "orcid_id": "0000-0002-8812-9719", "website": "https://www.cg.tuwien.ac.at/staff/DianaMarin", "firstname": "Diana", "lastname": "Marin", "searchname": "Diana Marin", "is_teacher": false, "name": "Diana Marin", "publications": [ "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-thesis" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "brunner_lukas_2022_ssb", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "marin-2022-sig", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "marin-2022-sigdt", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "marin-2023-pic", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "mujadzic-2023-hfp", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1848", "__class": "Author" }, { "id": 948, "drupal_id": 185, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/StefanOhrhallinger", "firstname": "Stefan", "lastname": "Ohrhallinger", "searchname": "Stefan Ohrhallinger", "is_teacher": false, "name": "Stefan Ohrhallinger", "publications": [ "erler-2020-p2s", "leimer_2020-cag", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "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-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "SCHUETZ-2020-MPC" ], "publications_first": [], "project_leader": [ "Superhumans", "WorldScale" ], "publication_field": [ { "publ_id": "brenner_simon-2013-ba", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "brunner_lukas_2022_ssb", "field_id": "supervisor", "ordernum": 1 }, { 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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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The core idea in this project is to interactively integrate sensed 3D data of varying sources and scales into a topologically clean surface. Our varying-scale model then permits online extraction of seamless levels of detail for rendering with minimal aliasing and popping artifacts. For this, we develop new topological guarantees to minimize the needed geometry. By exploiting the inherent redundancy of 2D surfaces in 3D, we design a fast way to robustly detect changes that let users better control the scan acquisition process. The topologically clean output surface and the change detection permit easy processing of the geometry for common use cases such as autonomous navigation, environment learning, augmented reality displays of georeferenced semantic information. An example application is fusing and distributing scans from the built-in sensors of multiple autonomous vehicles (ground, air), for incidental map updating as well as guaranteed efficient collision detection and tracking changes for path planning.
\r\n", "start_date": "2020-05-01", "end_date": "2026-04-30", "leader_id": 948, "logo": { "name": "logo.jpg", "path": "project:WorldScale", "type": "image/jpeg", "size": 64953, "orig_name": "logo.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/WorldScale/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "WWTF", "contract_number": "ICT19-009", "comment": "€ 578.450" } ], "research_areas": [ "Geometry" ], "publications": [ "depner_dennis-2020-baa", "depner_dennis-2022-maa", "elagrod_ahmed-baa", "fraissl_niklas-2023-pra", "kohlhas_jakob-2023-pra", "konrad-2020-baa", "lang_jakob-2022-baa", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "markovich_aleksandar-2022-maa", "mayr_patrick_maa", "mujadzic-2023-hfp", "negi_ashish-2023-baa", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "pointner_simon-2022-maa", "prohaska_julia-2023-baa", "reiher_joerg-2023-pra", "rubik_michael-2022-baa", "steinschauer-2020-baa", "wiesinger_klemens-2023-baa", "withalm_brigitte-2022-baa", "zeilinger_matthias-2020-baa" ], "url": "https://www.cg.tuwien.ac.at/research/projects/WorldScale", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sigdt/", "__class": "Publication" }, { "id": "elagrod_ahmed-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Immersive Redesign", "date": "2022-09-05", "abstract": "With scanning technologies and the processing power of computers increasing it is getting easier\nto scan the surrounding area and upload a 3D model of it. Nowadays mobile phones and drones\nare capable of doing that. However, the results most likely are not as good as dedicated scanners.\nTo offer people an option to explore their scanned objects my colleague Manuel Keilman and\nI wrote a software with which users can upload multiple point clouds. Those point clouds can\nthen be modified by adding, deleting, or moving parts of it. Our primary target is point clouds\nof street scenes. We selected an existing classification algorithm called GraND-Net [13] to\nidentify objects of the scene. Since the classification algorithm does not cluster the classes a\nseparate algorithm for that was needed. That is why we use DBScan [15] in order to distinguish\ndifferent objects of the same class. Both steps are done before starting the application since they\nonly have to be done once. The benefit of grouping points with similar features is that users\ndo not have to manually select everything which improves the usability of our software. After\nclassifying as well as clustering users can upload their point clouds and then select objects in\norder to modify them. Mistakes tend to happen which is why our software also offers users the\noption to manually classify whatever they want. All of that should make it easier for users to\nanalyze and modify their point clouds.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 556, "image_height": 213, "name": "elagrod_ahmed-baa-image.png", "type": "image/png", "size": 225625, "path": "Publication:elagrod_ahmed-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/elagrod_ahmed-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/elagrod_ahmed-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "authors": [ { "id": 5287, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Ahmed", "lastname": "El Agrod", "searchname": "Ahmed El Agrod", "is_teacher": false, "name": "Ahmed El Agrod", "publications": [ "elagrod_ahmed-baa" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=5287", "__class": "Author" } ], "date_end": "2022-09-05", "date_start": "2022-01-15", "matrikelnr": "11811340", "supervisor": [ { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Bittner-2001-Vis", "Bittner-2004-CHC", 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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": [ "point clouds", "object detection", "editing" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 556, "image_height": 213, "name": "elagrod_ahmed-baa-image.png", "type": "image/png", "size": 225625, "path": "Publication:elagrod_ahmed-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/elagrod_ahmed-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/elagrod_ahmed-baa-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "elagrod_ahmed-baa-thesis.pdf", "type": "application/pdf", "size": 18887807, "path": "Publication:elagrod_ahmed-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/elagrod_ahmed-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/elagrod_ahmed-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "WorldScale", "workgroup_id": "rend", "drupal_id": 4158, "name": "Modeling the World at Scale", "name_de": "Modellierung der Welt nach Maß", "website": null, "status": "active", "short_abstract": "Vision: reconstruct a model of the world that permits online level-of-detail extraction.", "abstract": "Vision: reconstruct a model of the world that permits online level-of-detail extraction. The core idea in this project is to interactively integrate sensed 3D data of varying sources and scales into a topologically clean surface. Our varying-scale model then permits online extraction of seamless levels of detail for rendering with minimal aliasing and popping artifacts. For this, we develop new topological guarantees to minimize the needed geometry. By exploiting the inherent redundancy of 2D surfaces in 3D, we design a fast way to robustly detect changes that let users better control the scan acquisition process. The topologically clean output surface and the change detection permit easy processing of the geometry for common use cases such as autonomous navigation, environment learning, augmented reality displays of georeferenced semantic information. An example application is fusing and distributing scans from the built-in sensors of multiple autonomous vehicles (ground, air), for incidental map updating as well as guaranteed efficient collision detection and tracking changes for path planning.
\r\n", "start_date": "2020-05-01", "end_date": "2026-04-30", "leader_id": 948, "logo": { "name": "logo.jpg", "path": "project:WorldScale", "type": "image/jpeg", "size": 64953, "orig_name": "logo.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/WorldScale/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "WWTF", "contract_number": "ICT19-009", "comment": "€ 578.450" } ], "research_areas": [ "Geometry" ], "publications": [ "depner_dennis-2020-baa", "depner_dennis-2022-maa", "elagrod_ahmed-baa", "fraissl_niklas-2023-pra", "kohlhas_jakob-2023-pra", "konrad-2020-baa", "lang_jakob-2022-baa", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "markovich_aleksandar-2022-maa", "mayr_patrick_maa", "mujadzic-2023-hfp", "negi_ashish-2023-baa", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "pointner_simon-2022-maa", "prohaska_julia-2023-baa", "reiher_joerg-2023-pra", "rubik_michael-2022-baa", "steinschauer-2020-baa", "wiesinger_klemens-2023-baa", "withalm_brigitte-2022-baa", "zeilinger_matthias-2020-baa" ], "url": "https://www.cg.tuwien.ac.at/research/projects/WorldScale", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/", "__class": "Publication" }, { "id": "ohrhallinger_stefan-2022-it1", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/153673", "title": "Curve/Surface Reconstruction and Occlusion-enabled Applications", "date": "2022-05-02", "abstract": "Curve reconstruction from unstructured points in a plane is a fundamental problem with many applications that has generated research interest for decades. Involved aspects like handling open, sharp, multiple, and non-manifold outlines, runtime, and provability as well as its extension to 3D for surface reconstruction have led to many different algorithms. The presented algorithms spans the range from improved interpolation of manifold curves over fitting noisy points with better accuracy, requiring fewer points for successful reconstruction to proving the lower limit of required samples with regard to local feature size, or provable statistical accuracy for noise-infected samples. A new sampling condition is introduced that can be expressed as a simple function of the long-standing epsilon-sampling, and permits to reconstruct curves with even fewer samples. As a side product, an algorithm for sampling curves is designed as well. A survey paper compares this body of work with all related work in this now mature field and includes an open source benchmark that allows to easily evaluate competing algorithms in multiple aspects and highlights their relative strengths. For selected 2D algorithms, extensions to 3D are given, as well as offering many novel perspectives for 3D reconstruction, where important open problems remain. As a different topic, when visualizing point clouds, occlusion can be inferred for almost free by exploiting the fact that point clouds representing surfaces are inherently 2D and squashing them in a view-based 2D data structure. This permits novel real-time methods on large point clouds such as collision detection, surface processing like cutting or editing, and efficient exploration.\n\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 286, "image_height": 295, "name": "ohrhallinger_stefan-2022-it1-.JPG", "type": "image/jpeg", "size": 27869, "path": "Publication:ohrhallinger_stefan-2022-it1", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-it1/ohrhallinger_stefan-2022-it1-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-it1/ohrhallinger_stefan-2022-it1-:thumb{{size}}.png" }, "sync_repositum_override": "date,location,projects,abstract", "authors": [ { "id": 948, "drupal_id": 185, "orcid_id": null, "website": 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The core idea in this project is to interactively integrate sensed 3D data of varying sources and scales into a topologically clean surface. Our varying-scale model then permits online extraction of seamless levels of detail for rendering with minimal aliasing and popping artifacts. For this, we develop new topological guarantees to minimize the needed geometry. By exploiting the inherent redundancy of 2D surfaces in 3D, we design a fast way to robustly detect changes that let users better control the scan acquisition process. The topologically clean output surface and the change detection permit easy processing of the geometry for common use cases such as autonomous navigation, environment learning, augmented reality displays of georeferenced semantic information. 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"ordernum": 1 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1825", "__class": "Author" }, { "id": 1828, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Jiju", "lastname": "Peethambaran", "searchname": "Jiju Peethambaran", "is_teacher": false, "name": "Jiju Peethambaran", "publications": [ "ohrhallinger_stefan-2022-tut", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t" ], "publications_first": [], "project_leader": [], "publication_field": [ { "publ_id": "ohrhallinger-2021-egs", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "ohrhallinger-2022-e2t", "field_id": "lecturer", "ordernum": 2 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1828", "__class": "Author" } ], "booktitle": "Eurographics 2022 - Tutorials", "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" } ], "keywords": [ "curve reconstruction", "region reconstruction", "benchmark" ], "weblinks": [ { "href": "https://users.cg.tuwien.ac.at/stef/curvebenchmark/", "caption": "website", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 476, "image_height": 251, "name": "ohrhallinger_stefan-2022-tut-.JPG", "type": "image/jpeg", "size": 27189, "path": "Publication:ohrhallinger_stefan-2022-tut", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-tut/ohrhallinger_stefan-2022-tut-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-tut/ohrhallinger_stefan-2022-tut-:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "WorldScale", "workgroup_id": "rend", "drupal_id": 4158, "name": "Modeling the World at Scale", "name_de": "Modellierung der Welt nach Maß", "website": null, "status": "active", "short_abstract": "Vision: reconstruct a model of the world that permits online level-of-detail extraction.", "abstract": "Vision: reconstruct a model of the world that permits online level-of-detail extraction. The core idea in this project is to interactively integrate sensed 3D data of varying sources and scales into a topologically clean surface. Our varying-scale model then permits online extraction of seamless levels of detail for rendering with minimal aliasing and popping artifacts. For this, we develop new topological guarantees to minimize the needed geometry. By exploiting the inherent redundancy of 2D surfaces in 3D, we design a fast way to robustly detect changes that let users better control the scan acquisition process. The topologically clean output surface and the change detection permit easy processing of the geometry for common use cases such as autonomous navigation, environment learning, augmented reality displays of georeferenced semantic information. An example application is fusing and distributing scans from the built-in sensors of multiple autonomous vehicles (ground, air), for incidental map updating as well as guaranteed efficient collision detection and tracking changes for path planning.
\r\n", "start_date": "2020-05-01", "end_date": "2026-04-30", "leader_id": 948, "logo": { "name": "logo.jpg", "path": "project:WorldScale", "type": "image/jpeg", "size": 64953, "orig_name": "logo.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/WorldScale/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "WWTF", "contract_number": "ICT19-009", "comment": "€ 578.450" } ], "research_areas": [ "Geometry" ], "publications": [ "depner_dennis-2020-baa", "depner_dennis-2022-maa", "elagrod_ahmed-baa", "fraissl_niklas-2023-pra", "kohlhas_jakob-2023-pra", "konrad-2020-baa", "lang_jakob-2022-baa", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "markovich_aleksandar-2022-maa", "mayr_patrick_maa", "mujadzic-2023-hfp", "negi_ashish-2023-baa", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "pointner_simon-2022-maa", "prohaska_julia-2023-baa", "reiher_joerg-2023-pra", "rubik_michael-2022-baa", "steinschauer-2020-baa", "wiesinger_klemens-2023-baa", "withalm_brigitte-2022-baa", "zeilinger_matthias-2020-baa" ], "url": "https://www.cg.tuwien.ac.at/research/projects/WorldScale", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-tut/", "__class": "Publication" }, { "id": "steinschauer-2020-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Change Detection using the InfiniTAM framework", "date": "2022-01-24", "abstract": "The automated detection of changes in a 3D space can be a useful tool. [PCBS16] names\n3D surface reconstruction, environment monitoring, natural events management, and\nforensic science as possible application scenarios. In this work, we introduce software\nthat scans an area at two different points in time and detects the changes between these\nscans. The software is based on InfiniTAM [PKG+17], a framework released under an\nOxford University License. InfiniTAM integrates multiple depth images (e.g. recorded\nwith a Kinect-V2-Camera) to a 3D model using volumetric representations. Because of\nthe volumetric representation and the fast GPU computation, the change detection can\nhappen in real-time. This is outstanding because in other approaches, (like [PCBS16])\nthe change detection can take minutes. Other approaches that detect changes in real-time\n(like [KMK+19]) use the same representation of data (T-SDF) as we do. Our approach\nalso takes sensor tolerance into account, which leads to a reduction of false change\ndetections. This work can be seen as a starting point for more specific use cases (like\n[LTW+21]) who specify on scene change detection and overcoming unnecessary changes\nsuch as light and seasons.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1065, "image_height": 628, "name": "steinschauer-2020-baa-image.png", "type": "image/png", "size": 679657, "path": "Publication:steinschauer-2020-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinschauer-2020-baa/steinschauer-2020-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinschauer-2020-baa/steinschauer-2020-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "authors": [ { "id": 1755, "drupal_id": null, "orcid_id": null, "website": null, "firstname": "Thomas", "lastname": "Steinschauer", "searchname": "Thomas Steinschauer", "is_teacher": false, "name": "Thomas Steinschauer", "publications": [ "steinschauer-2020-baa" ], "publications_first": [], "project_leader": [], "publication_field": [], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1755", "__class": "Author" } ], "date_end": "2022-01-24", "date_start": "2020-03-23", "matrikelnr": "01426150", "supervisor": [ { "id": 948, "drupal_id": 185, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/StefanOhrhallinger", "firstname": "Stefan", "lastname": "Ohrhallinger", "searchname": "Stefan Ohrhallinger", "is_teacher": false, "name": "Stefan Ohrhallinger", "publications": [ "erler-2020-p2s", "leimer_2020-cag", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "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-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "SCHUETZ-2020-MPC" ], "publications_first": [], "project_leader": [ "Superhumans", "WorldScale" ], "publication_field": [ { "publ_id": "brenner_simon-2013-ba", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "brunner_lukas_2022_ssb", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "depner_dennis-2020-baa", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "depner_dennis-2022-maa", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "elagrod_ahmed-baa", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "fraissl_niklas-2023-pra", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "geyer_lukas_2015_prj", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "geyer_lukas-2014-bat", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "giefing_juergen-2013-ba", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "grossmann-2016-baa", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "gruber_horst-2019-baa", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "gruber_horst-2019-baa", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "hauer_alex-2013-ba", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Keilman2022", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "koeppel-2016-baa", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "kohlhas_jakob-2023-pra", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "konrad-2020-baa", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "laager_florian-2014-daa", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "lang_jakob-2022-baa", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "marin-thesis", "field_id": "supervisor", 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"ordernum": 0 }, { "publ_id": "ohrhallinger-2021-egs", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "ohrhallinger-2022-e2t", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "pointner_michael-2017-baa", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "pointner_simon-2022-maa", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "prieler_daniel-2013-da", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "prieler_daniel-2013-pra", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "prohaska_julia-2023-baa", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "Radwan-2014-CDR", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "rait_alexius-2021-baa", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "reiher_joerg-2023-pra", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "reinwald-2017-baa", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "rubik_michael-2022-baa", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": 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"https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=948", "__class": "Author" } ], "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", 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"name": "Modeling the World at Scale", "name_de": "Modellierung der Welt nach Maß", "website": null, "status": "active", "short_abstract": "Vision: reconstruct a model of the world that permits online level-of-detail extraction.", "abstract": "Vision: reconstruct a model of the world that permits online level-of-detail extraction. 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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" } ], "keywords": [ "3d scanning", "scan integration", "geometry processing" ], "weblinks": [ { "href": "https://gitlab.cg.tuwien.ac.at/stef/scan-integration", "caption": "source", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 924, "image_height": 813, "name": "depner_dennis-2020-baa-image.png", "type": "image/png", "size": 614710, "path": "Publication:depner_dennis-2020-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/depner_dennis-2020-baa/depner_dennis-2020-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/depner_dennis-2020-baa/depner_dennis-2020-baa-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "depner_dennis-2020-baa-paper.pdf", "type": "application/pdf", "size": 34339857, "path": "Publication:depner_dennis-2020-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/depner_dennis-2020-baa/depner_dennis-2020-baa-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/depner_dennis-2020-baa/depner_dennis-2020-baa-paper:thumb{{size}}.png" } ], "projects_workgroups": [ { "id": "WorldScale", "workgroup_id": "rend", "drupal_id": 4158, "name": "Modeling the World at Scale", "name_de": "Modellierung der Welt nach Maß", "website": null, "status": "active", "short_abstract": "Vision: reconstruct a model of the world that permits online level-of-detail extraction.", "abstract": "Vision: reconstruct a model of the world that permits online level-of-detail extraction. The core idea in this project is to interactively integrate sensed 3D data of varying sources and scales into a topologically clean surface. Our varying-scale model then permits online extraction of seamless levels of detail for rendering with minimal aliasing and popping artifacts. For this, we develop new topological guarantees to minimize the needed geometry. By exploiting the inherent redundancy of 2D surfaces in 3D, we design a fast way to robustly detect changes that let users better control the scan acquisition process. The topologically clean output surface and the change detection permit easy processing of the geometry for common use cases such as autonomous navigation, environment learning, augmented reality displays of georeferenced semantic information. An example application is fusing and distributing scans from the built-in sensors of multiple autonomous vehicles (ground, air), for incidental map updating as well as guaranteed efficient collision detection and tracking changes for path planning.
\r\n", "start_date": "2020-05-01", "end_date": "2026-04-30", "leader_id": 948, "logo": { "name": "logo.jpg", "path": "project:WorldScale", "type": "image/jpeg", "size": 64953, "orig_name": "logo.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/WorldScale/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "WWTF", "contract_number": "ICT19-009", "comment": "€ 578.450" } ], "research_areas": [ "Geometry" ], "publications": [ "depner_dennis-2020-baa", "depner_dennis-2022-maa", "elagrod_ahmed-baa", "fraissl_niklas-2023-pra", "kohlhas_jakob-2023-pra", "konrad-2020-baa", "lang_jakob-2022-baa", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "markovich_aleksandar-2022-maa", "mayr_patrick_maa", "mujadzic-2023-hfp", "negi_ashish-2023-baa", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "pointner_simon-2022-maa", "prohaska_julia-2023-baa", "reiher_joerg-2023-pra", "rubik_michael-2022-baa", "steinschauer-2020-baa", "wiesinger_klemens-2023-baa", "withalm_brigitte-2022-baa", "zeilinger_matthias-2020-baa" ], "url": "https://www.cg.tuwien.ac.at/research/projects/WorldScale", "__class": "Project" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/depner_dennis-2020-baa/", "__class": "Publication" } ]