[ { "id": "SCHEIBLAUER-2015-WFC", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "Workflow for Creating and Rendering Huge Point Models", "date": "2017", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 614, 826, 193 ], "booktitle": "Fundamentals of Virtual Archaeology: Theory and Practice", "isbn": "9781466594760", "note": "(to appear) 15.06.2017", "publisher": "A K Peters/CRC Press", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHEIBLAUER-2015-WFC/", "__class": "Publication" }, { "id": "arikan-2014-pcvis", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Large-Scale Point-Cloud Visualization through Localized Textured Surface Reconstruction", "date": "2014-09", "abstract": "In this paper, we introduce a novel scene representation for the visualization of large-scale point clouds accompanied by a set of high-resolution photographs. Many real-world applications deal with very densely sampled point-cloud data, which are augmented with photographs that often reveal lighting variations and inaccuracies in registration. Consequently, the high-quality\nrepresentation of the captured data, i.e., both point clouds and photographs together, is a challenging and time-consuming task. We propose a two-phase approach, in which the first (preprocessing) phase generates multiple overlapping surface patches and\nhandles the problem of seamless texture generation locally for each patch. The second phase stitches these patches at render-time to produce a high-quality visualization of the data. As a result of the proposed localization of the global texturing problem, our algorithm is more than an order of magnitude faster than equivalent mesh-based texturing techniques. Furthermore, since\nour preprocessing phase requires only a minor fraction of the whole dataset at once, we provide maximum flexibility when dealing with growing datasets.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 5356, "image_height": 4850, "name": "arikan-2014-pcvis-image.jpg", "type": "image/jpeg", "size": 6686806, "path": "Publication:arikan-2014-pcvis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 865, 799, 614, 356, 193 ], "issn": "1077-2626", "journal": "IEEE Transactions on Visualization & Computer Graphics", "number": "9", "pages_from": "1280", "pages_to": "1292", "volume": "20", "research_areas": [ "Rendering" ], "keywords": [ "image-based rendering", "large-scale models", "color", "surface representation" ], "weblinks": [ { "href": "http://doi.ieeecomputersociety.org/10.1109/TVCG.2014.2312011", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "Acknowledgments datasets", "filetitle": "ackn", "main_file": false, "use_in_gallery": false, "access": "public", "name": "arikan-2014-pcvis-ackn.rtf", "type": "text/rtf", "size": 597, "path": "Publication:arikan-2014-pcvis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-ackn.rtf", "thumb_image_sizes": [] }, { "description": "[13 MB]", "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "arikan-2014-pcvis-draft.pdf", "type": "application/pdf", "size": 13594589, "path": "Publication:arikan-2014-pcvis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 5356, "image_height": 4850, "name": "arikan-2014-pcvis-image.jpg", "type": "image/jpeg", "size": 6686806, "path": "Publication:arikan-2014-pcvis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-image:thumb{{size}}.png" }, { "description": "[33 MB]", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "arikan-2014-pcvis-video.avi", "type": "video/x-msvideo", "size": 33911454, "path": "Publication:arikan-2014-pcvis", "preview_name": "arikan-2014-pcvis-video:preview.png", "preview_type": "image/jpeg", "preview_size": 34237, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-video:video.mp4" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/", "__class": "Publication" }, { "id": "scheiblauer-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Interactions with Gigantic Point Clouds", "date": "2014", "abstract": "During the last decade the increased use of laser range-scanners for sampling the environment has led to gigantic point cloud data sets. Due to the size of such data sets, tasks like viewing, editing, or presenting the data have become a challenge per se, as the point data is too large to fit completely into the main memory of a customary computer system. In order to accomplish these tasks and enable the interaction with gigantic point clouds on consumer grade computer systems, this thesis presents novel methods and data structures for efficiently dealing with point cloud data sets consisting of more than 109 point samples. \r\n\r\nTo be able to access point samples fast that are stored on disk or in memory, they have to be spatially ordered, and for this a data structure is proposed which organizes the points samples in a level-of-detail hierarchy. Point samples stored in this hierarchy cannot only be rendered fast, but can also be edited, for example existing points can be deleted from the hierarchy or new points can be inserted. Furthermore, the data structure is memory efficient, as it only uses the point samples from the original data set. Therefore, the memory consumption of the point samples on disk, when stored in this data structure, is comparable to the original data set. A second data structure is proposed for selecting points. This data structure describes a volume inside which point samples are considered to be selected, and this has the advantage that the information about a selection does not have to be stored at the point samples. \r\n\r\nIn addition to these two previously mentioned data structures, which represent novel contributions for point data visualization and manipulation, methods for supporting the presentation of point data sets are proposed. With these methods the user experience can be enhanced when navigating through the data. One possibility to do this is by using regional meshes that employ an out-of-core texturing method to show details in the mesoscopic scale on the surface of sampled objects, and which are displayed together with point clouds. Another possibility to increase the user experience is to use graphs in 3D space, which helps users to orient themselves inside point cloud models of large sites, where otherwise it would be difficult to find the places of interest. Furthermore, the quality of the displayed point cloud models can be increased by using a point size heuristics that can mimic a closed surface in areas that would otherwise appear undersampled, by utilizing the density of the rendered points in the different areas of the point cloud model. \r\n\r\nFinally, the use of point cloud models as a tool for archaeological work is proposed. Since it becomes increasingly common to document archaeologically interesting monuments with laser scanners, the number application areas of the resulting point clouds is raising as well. These include, but are not limited to, new views of the monument that are impossible when studying the monument on-site, creating cuts and floor plans, or perform virtual anastylosis. \r\n\r\nAll these previously mentioned methods and data structures are implemented in a single software application that has been developed during the course of this thesis and can be used to interactively explore gigantic point clouds.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Point model of the Wiener Stephansdom consisting of 460 million points", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1116, "image_height": 784, "name": "scheiblauer-thesis-image.png", "type": "image/png", "size": 736820, "path": "Publication:scheiblauer-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/scheiblauer-thesis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/scheiblauer-thesis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 614 ], "date_end": "2014-07", "date_start": "2006-12", "reviewer_1": [ 193 ], "reviewer_2": [ 1326 ], "rigorosum": "2014-07-18", "supervisor": [ 193 ], "research_areas": [], "keywords": [ "point-based rendering", "out-of-core rendering", "data structures", "complexity analysis" ], "weblinks": [], "files": [ { "description": "Point model of the Wiener Stephansdom consisting of 460 million points", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1116, "image_height": 784, "name": "scheiblauer-thesis-image.png", "type": "image/png", "size": 736820, "path": "Publication:scheiblauer-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/scheiblauer-thesis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/scheiblauer-thesis-image:thumb{{size}}.png" }, { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "scheiblauer-thesis-thesis.pdf", "type": "application/pdf", "size": 83650812, "path": "Publication:scheiblauer-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/scheiblauer-thesis-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/scheiblauer-thesis-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "TERAPOINTS", "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/", "__class": "Publication" }, { "id": "scheiblauer-2013-wscg", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Analysis of Interactive Editing Operations for Out-of-Core Point-Cloud Hierarchies", "date": "2013-06", "abstract": "In this paper we compare the time and space complexity of editing operations on two data structures which are suitable for visualizing huge point clouds. The first data structure was introduced by Scheiblauer and Wimmer [SW11]\nand uses only the original points from a source data set for building a level-of-detail hierarchy that can be used for\nrendering points clouds. The second data structure introduced by Wand et al. [WBB+07] requires additional points\nfor the level-of-detail hierarchy and therefore needs more memory when stored on disk. Both data structures are\nbased on an octree hierarchy and allow for deleting and inserting points. Besides analyzing and comparing these\ntwo data structures we also introduce an improvement to the points deleting algorithm for the data structure of\nWand et al. [WBB+07], which thus allows for a more efficient node loading strategy during rendering.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Stephansdom overdraw with MNO at 1px point size.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 600, "name": "scheiblauer-2013-wscg-image.png", "type": "image/png", "size": 271004, "path": "Publication:scheiblauer-2013-wscg", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/scheiblauer-2013-wscg/scheiblauer-2013-wscg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/scheiblauer-2013-wscg/scheiblauer-2013-wscg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 614, 193 ], "booktitle": "WSCG 2013 Full Paper Proceedings", "date_from": "2013-06-24", "date_to": "2013-06-27", "editor": "Vaclav Skala", "isbn": "978-80-86943-74-9", "lecturer": [ 614 ], "location": "Plzen", "pages_from": "123", "pages_to": "132", "publisher": "Union Agency", "research_areas": [ "Geometry" ], "keywords": [ "complexity analysis", "point clouds", "data structures", "viewing algorithms" ], "weblinks": [], "files": [ { "description": "Stephansdom overdraw with MNO at 1px point size.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 600, "name": "scheiblauer-2013-wscg-image.png", "type": "image/png", "size": 271004, "path": "Publication:scheiblauer-2013-wscg", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/scheiblauer-2013-wscg/scheiblauer-2013-wscg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/scheiblauer-2013-wscg/scheiblauer-2013-wscg-image:thumb{{size}}.png" }, { "description": "The submitted paper.", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "scheiblauer-2013-wscg-paper.pdf", "type": "application/pdf", "size": 5288961, "path": "Publication:scheiblauer-2013-wscg", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/scheiblauer-2013-wscg/scheiblauer-2013-wscg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/scheiblauer-2013-wscg/scheiblauer-2013-wscg-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/scheiblauer-2013-wscg/", "__class": "Publication" }, { "id": "scheiblauer-2012-chnt", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Graph-based Guidance in Huge Point Clouds", "date": "2012-11", "abstract": "In recent years the use of remote sensing devices like laser scanners in the documentation of excavation sites or cultural heritage sites has led to huge point cloud models from these sites. These data sets may cover complete sites including galleries, corridors, halls, and open places. Orienting oneself in the point cloud becomes a challenge, if one is not familiar with the layout of the site. Therefore we propose a graph-based guidance system to show tourists round the point cloud models. The tourists can navigate interactively through the point cloud, but they are tied to a predefined 3D graph which represents the possible ways, and which connects the points of interest.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Graph model in point cloud", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1186, "image_height": 775, "name": "scheiblauer-2012-chnt-image.png", "type": "image/png", "size": 1021536, "path": "Publication:scheiblauer-2012-chnt", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/scheiblauer-2012-chnt/scheiblauer-2012-chnt-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/scheiblauer-2012-chnt/scheiblauer-2012-chnt-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 614, 193 ], "booktitle": "Proceedings of the 17th International Conference on Cultural Heritage and New Technologies", "date_from": "2012-11-05", "date_to": "2012-11-07", "isbn": "978-3-200-03281-1", "lecturer": [ 614 ], "location": "Vienna, Austria", "research_areas": [ "Geometry" ], "keywords": [ "user interface", "navigation", "point rendering" ], "weblinks": [], "files": [ { "description": "Graph model in point cloud", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1186, "image_height": 775, "name": "scheiblauer-2012-chnt-image.png", "type": "image/png", "size": 1021536, "path": "Publication:scheiblauer-2012-chnt", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/scheiblauer-2012-chnt/scheiblauer-2012-chnt-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/scheiblauer-2012-chnt/scheiblauer-2012-chnt-image:thumb{{size}}.png" }, { "description": "the submitted paper", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "scheiblauer-2012-chnt-paper.pdf", "type": "application/pdf", "size": 1728455, "path": "Publication:scheiblauer-2012-chnt", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/scheiblauer-2012-chnt/scheiblauer-2012-chnt-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/scheiblauer-2012-chnt/scheiblauer-2012-chnt-paper:thumb{{size}}.png" }, { "description": "Slides used for talk", "filetitle": "slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "scheiblauer-2012-chnt-slides.pptx", "type": "application/zip", "size": 6413441, "path": "Publication:scheiblauer-2012-chnt", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/scheiblauer-2012-chnt/scheiblauer-2012-chnt-slides.pptx", "thumb_image_sizes": [] } ], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/scheiblauer-2012-chnt/", "__class": "Publication" }, { "id": "scheiblauer-2011-chnt", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Consolidated Visualization of Enormous 3D Scan Point Clouds with Scanopy", "date": "2011-11", "abstract": "Terrestrial laser scanners are used at many excavations for documentation and inventory taking. For the documentation of the excavation Amphitheatre 1 in Bad Deutsch-Altenburg, Austria, the terrestrial laser scanner Riegl LMS Z420i was used. Overall, the entire excavation was covered by about 200 positions. With each scan position the amount of data recorded increases and this leads to performance problems in the visualization of the data. Due to the enormous number of points a consolidated representation of the entire point cloud is not possible with conventional software. The software Scanopy was developed for presenting and editing huge amounts of point data. Furthermore, it is possible to load polygonal models and display them together with point clouds in one scene. This allows an exact documentation of large archaeological excavation sites. Another application is the visualization of polygonal models of different excavation levels. The simplest visualization of point clouds on screen is a representation of the points as square rectangles. This, however, creates geometric inaccuracies, and colored point clouds are presented with sudden color changes. When the points are displayed by using semi-transparent circles the 3D points can be blended and lead to a more homogenous visual representation of the scanned objects. Thus the visual impression of the point cloud will be improved considerably. The developed software is demonstrated on the excavation mentioned above.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Point rendering with Gauss splats", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1694, "image_height": 1013, "name": "scheiblauer-2011-chnt-image.png", "type": "image/png", "size": 4275803, "path": "Publication:scheiblauer-2011-chnt", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-chnt/scheiblauer-2011-chnt-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-chnt/scheiblauer-2011-chnt-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 614, 1045 ], "booktitle": "Proceedings of the 16th International Conference on Cultural Heritage and New Technologies", "date_from": "2011-11-14", "date_to": "2011-11-16", "isbn": "978-3-200-02740-4", "lecturer": [ 614 ], "location": "Vienna, Austria", "pages_from": "242", "pages_to": "247", "research_areas": [ "Geometry" ], "keywords": [ "point rendering", "resampling", "out-of-core" ], "weblinks": [], "files": [ { "description": "Point rendering with Gauss splats", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1694, "image_height": 1013, "name": "scheiblauer-2011-chnt-image.png", "type": "image/png", "size": 4275803, "path": "Publication:scheiblauer-2011-chnt", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-chnt/scheiblauer-2011-chnt-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-chnt/scheiblauer-2011-chnt-image:thumb{{size}}.png" }, { "description": "Paper", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "scheiblauer-2011-chnt-paper.pdf", "type": "application/pdf", "size": 408490, "path": "Publication:scheiblauer-2011-chnt", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-chnt/scheiblauer-2011-chnt-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-chnt/scheiblauer-2011-chnt-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-chnt/", "__class": "Publication" }, { "id": "mayer_2011_cipa", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Virtual Texturing in the Documentation of Cultural Heritage", "date": "2011-09", "abstract": "In the last decade the documentation of cultural heritage by means of laser range scanning and photogrammetric techniques has gained ever more importance. The amount of data collected by these means may be huge, and adequate presentation of 3D documented cultural heritage is still a challenge. For small and limited projects consisting of only a few range scans, the software provided with the laser scanner can be used for viewing and presenting the data. Large projects, consisting of hundreds of scan positions as well as projects where more and more data are collected over time, still have to deal with a massive reduction of the 3D data for presentation. Public demonstrations in museums, as for example shown by the Digital Michelangelo project, are already state of the art. The combination of huge point-base models and mesh models with high resolution textures in one viewer, the first type of models resulting from the data of laser range scans and the second type of models resulting from a photogrammetric reconstruction process, is still not available. Currently viewers are mostly limited to show models that are based on only one geometric primitive – either points or polygons – at once.\r\nIn the FWF funded START project “The Domitilla Catacomb in Rome. Archaeology, Architecture and Art History of a Late Roman Cemetery” – which is running for 5 years now – 3D point data was collected for the geometrical documentation of the vast gallery system of the Domitilla Catacomb, resulting in point data of some 2 billion (10^9) point samples. Furthermore high quality textured mesh models of the nearly 90 late Roman / early Christian paintings were generated with photogrammetric tools. In close cooperation with the Institute of Computer Graphics and Algorithms of the Vienna University of Technology the point cloud viewer Scanopy was improved for the combined presentation of huge point clouds and high quality textured mesh models in the same viewer. Our viewer is already capable of rendering huge point clouds, so for this a method to manage the vast amount of textures had to be found. Therefore we integrated a virtual texturing algorithm, which allows using the original photographs of the paintings taken on site to be mapped to the mesh models, resulting in a high quality texture for all mesh models. The photographs have a resolution of 11 Megapixels. Due to shortcomings in the programs used in the photogrammetric processing pipeline we scaled down the photographs to a 7.3 Megapixel resolution. Currently 608 of these images are used for texturing 29 mesh models. The work on the mesh models is still ongoing, and when all mesh models will be completed, we will use some 2000 images for texturing about 90 mesh models. These virtually textured models can show the details of each painting in the Domitilla Catacomb. When used in a virtual walkthrough the paintings in the catacomb can be presented to a broad audience under best lighting conditions, even the paintings normally not accessible by the public.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Virtual texturing render pipeline", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 651, "image_height": 1075, "name": "mayer_2011_cipa-image.png", "type": "image/png", "size": 215911, "path": "Publication:mayer_2011_cipa", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/mayer_2011_cipa/mayer_2011_cipa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/mayer_2011_cipa/mayer_2011_cipa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 943, 614, 796 ], "date_from": "2011-09-12", "date_to": "2011-09-16", "event": "XXIIIrd International CIPA Symposium", "issn": "1802-2669", "journal": "Geoinformatics FCE CTU", "lecturer": [ 943, 614 ], "location": "Czech Technical University in Prague", "volume": "7", "research_areas": [], "keywords": [ "virtual texturing", "out-of-core", "streaming", "point clouds" ], "weblinks": [], "files": { "0": { "description": "Virtual texturing render pipeline", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 651, "image_height": 1075, "name": "mayer_2011_cipa-image.png", "type": "image/png", "size": 215911, "path": "Publication:mayer_2011_cipa", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/mayer_2011_cipa/mayer_2011_cipa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/mayer_2011_cipa/mayer_2011_cipa-image:thumb{{size}}.png" }, "1": { "description": "The Domitilla images are not included due to copyright reasons.", "filetitle": "paper draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mayer_2011_cipa-paper draft.pdf", "type": "application/pdf", "size": 526442, "path": "Publication:mayer_2011_cipa", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/mayer_2011_cipa/mayer_2011_cipa-paper draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/mayer_2011_cipa/mayer_2011_cipa-paper draft:thumb{{size}}.png" }, "3": { "description": "The Domitilla images are not included due to copyright reasons.", "filetitle": "slides draft", "main_file": false, "use_in_gallery": false, "access": "public", "name": "mayer_2011_cipa-slides draft.pptx", "type": "application/zip", "size": 5600582, "path": "Publication:mayer_2011_cipa", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/mayer_2011_cipa/mayer_2011_cipa-slides draft.pptx", "thumb_image_sizes": [] } }, "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/mayer_2011_cipa/", "__class": "Publication" }, { "id": "scheiblauer-2011-cag", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Out-of-Core Selection and Editing of Huge Point Clouds", "date": "2011-04", "abstract": "In this paper we present an out-of-core editing system for point clouds, which allows selecting and modifying arbitrary parts of\na huge point cloud interactively. We can use the selections to segment the point cloud, to delete points, or to render a preview\nof the model without the points in the selections. Furthermore we allow for inserting points into an already existing point cloud.\nAll operations are conducted on a rendering optimized data structure that uses the raw point cloud from a laser scanner, and\nno additionally created points are needed for an ecient level-of-detail (LOD) representation using this data structure. We also\npropose an algorithm to alleviate the artifacts when rendering a point cloud with large discrepancies in density in dierent areas by\nestimating point sizes heuristically. These estimated point sizes can be used to mimic a closed surface on the raw point cloud, also\nwhen the point cloud is composed of several raw laser scans.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Selecting points", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1205, "image_height": 806, "name": "scheiblauer-2011-cag-image.jpg", "type": "image/jpeg", "size": 146472, "path": "Publication:scheiblauer-2011-cag", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-cag/scheiblauer-2011-cag-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-cag/scheiblauer-2011-cag-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 614, 193 ], "issn": "0097-8493", "journal": "Computers & Graphics", "number": "2", "pages_from": "342", "pages_to": "351", "volume": "35", "research_areas": [ "Geometry" ], "keywords": [ "Graphics data structures and data types", "Viewing algorithms", "Point-based rendering" ], "weblinks": [], "files": [ { "description": "Selecting points", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1205, "image_height": 806, "name": "scheiblauer-2011-cag-image.jpg", "type": "image/jpeg", "size": 146472, "path": "Publication:scheiblauer-2011-cag", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-cag/scheiblauer-2011-cag-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-cag/scheiblauer-2011-cag-image:thumb{{size}}.png" }, { "description": "Out-of-Core Selection and Editing of Huge Point Clouds", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "scheiblauer-2011-cag-paper.pdf", "type": "application/pdf", "size": 7892225, "path": "Publication:scheiblauer-2011-cag", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-cag/scheiblauer-2011-cag-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-cag/scheiblauer-2011-cag-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-cag/", "__class": "Publication" }, { "id": "SCHEIBLAUER-2009-IDCE", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Interactive Domitilla Catacomb Exploration", "date": "2009-09", "abstract": "In this paper we present an approach for interactive visualization and manipulation of huge point clouds. Archaeological monuments like the Domitilla Catacomb in Rome lead to data sets surpassing 1 Billion points or 20GB of storage space, which makes standard techniques like mesh conversion or in-core point-based rendering infeasible. Our system uses an out-of-core octree structure and a number of interactive editing tools to enable many archaeological tasks to be carried out on the whole point cloud that would not be possible using traditional methods. We allow fast selection, insertion and deletion of points, and through out-of-core rendering, the frame rate always stays above 20 frames per second on a fast workstation. \nTo the best of our knowledge, this is the first interactive visualization of the complete data set of a large subterranean catacomb, and we show that direct point cloud visualization on the complete data set of a scan campaign is an important tool in archaeological practice.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1076, "name": "SCHEIBLAUER-2009-IDCE-image.jpg", "type": "image/jpeg", "size": 269202, "path": "Publication:SCHEIBLAUER-2009-IDCE", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-IDCE/SCHEIBLAUER-2009-IDCE-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-IDCE/SCHEIBLAUER-2009-IDCE-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 614, 826, 193 ], "booktitle": "10th VAST International Symposium on Virtual Reality, Archaeology and Cultural Heritage (VAST09)", "date_from": "2009-09-22", "date_to": "2009-09-25", "isbn": "978-3-905674-18-7", "lecturer": [ 614, 826 ], "location": "Malta", "pages_from": "65", "pages_to": "72", "publisher": "Eurographics Association", "research_areas": [ "Geometry" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1076, "name": "SCHEIBLAUER-2009-IDCE-image.jpg", "type": "image/jpeg", "size": 269202, "path": "Publication:SCHEIBLAUER-2009-IDCE", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-IDCE/SCHEIBLAUER-2009-IDCE-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-IDCE/SCHEIBLAUER-2009-IDCE-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "SCHEIBLAUER-2009-IDCE-Paper.pdf", "type": "application/pdf", "size": 4312791, "path": "Publication:SCHEIBLAUER-2009-IDCE", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-IDCE/SCHEIBLAUER-2009-IDCE-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-IDCE/SCHEIBLAUER-2009-IDCE-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Scanopy" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-IDCE/", "__class": "Publication" }, { "id": "SCHEIBLAUER-2009-xmas", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card", "date": "2009", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 766, "image_height": 1083, "name": "SCHEIBLAUER-2009-xmas-.jpg", "type": "image/jpeg", "size": 119932, "path": "Publication:SCHEIBLAUER-2009-xmas", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-xmas/SCHEIBLAUER-2009-xmas-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-xmas/SCHEIBLAUER-2009-xmas-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 614 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 766, "image_height": 1083, "name": "SCHEIBLAUER-2009-xmas-.jpg", "type": "image/jpeg", "size": 119932, "path": "Publication:SCHEIBLAUER-2009-xmas", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-xmas/SCHEIBLAUER-2009-xmas-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-xmas/SCHEIBLAUER-2009-xmas-:thumb{{size}}.png" }, { "description": "", "filetitle": "card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "SCHEIBLAUER-2009-xmas-card.pdf", "type": "application/pdf", "size": 2069950, "path": "Publication:SCHEIBLAUER-2009-xmas", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-xmas/SCHEIBLAUER-2009-xmas-card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-xmas/SCHEIBLAUER-2009-xmas-card:thumb{{size}}.png" }, { "description": "Making of X-Mas Card", "filetitle": "makingof", "main_file": false, "use_in_gallery": false, "access": "public", "name": "SCHEIBLAUER-2009-xmas-makingof.pdf", "type": "application/pdf", "size": 382330, "path": "Publication:SCHEIBLAUER-2009-xmas", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-xmas/SCHEIBLAUER-2009-xmas-makingof.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-xmas/SCHEIBLAUER-2009-xmas-makingof:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-xmas/", "__class": "Publication" }, { "id": "Scheiblauer-2008-DCW", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Domitilla Catacomb Walkthrough - dealing with more than 1 billion points", "date": "2008-11", "abstract": "Range laser scanning evolved as a means for documenting buildings or archeological excavation sites. Point clouds resulting from these laser scans can consist of hundreds of millions of points. To get a clean model from this vast amount of data needs several person months. Instead we try to visualize the data directly, so archeologists can have a quick overview of the already scanned areas (e.g., during a scanning campaign). The models in our viewer are combined point clouds from several scan positions, and it is possible to add new point clouds to an existing model. We also allow for deleting points from the model. Furthermore we developed a heuristic to estimate point sizes, which enables the viewer to display surfaces as closed objects without a special preprocessing step. For the point size heuristic it suffices to know the positions of the points.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Overview of the Domitilla Catacomb model", "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1598, "image_height": 1061, "name": "Scheiblauer-2008-DCW-Image.jpg", "type": "image/jpeg", "size": 304984, "path": "Publication:Scheiblauer-2008-DCW", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Scheiblauer-2008-DCW/Scheiblauer-2008-DCW-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Scheiblauer-2008-DCW/Scheiblauer-2008-DCW-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 614 ], "booktitle": "Proceedings of the 13th International Congress on Cultural Heritage and New Technologies", "date_from": "2008-11-03", "date_to": "2008-11-05", "isbn": "978-3-85161-016-1", "lecturer": [ 614 ], "location": "Vienna City Hall", "note": "Cultural Heritage & New Technologies", "series": "Tagungsreihe \"Kulturelles Erbe und Neue Technologien\" - Workshop \"Archäologie und Computer\"", "research_areas": [ "Geometry" ], "keywords": [ "laser scanning", "virtual reconstruction", "point-based rendering" ], "weblinks": [], "files": [ { "description": "Overview of the Domitilla Catacomb model", "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1598, "image_height": 1061, "name": "Scheiblauer-2008-DCW-Image.jpg", "type": "image/jpeg", "size": 304984, "path": "Publication:Scheiblauer-2008-DCW", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Scheiblauer-2008-DCW/Scheiblauer-2008-DCW-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Scheiblauer-2008-DCW/Scheiblauer-2008-DCW-Image:thumb{{size}}.png" }, { "description": "The paper submitted to the conference", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Scheiblauer-2008-DCW-Paper.pdf", "type": "application/pdf", "size": 1407511, "path": "Publication:Scheiblauer-2008-DCW", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Scheiblauer-2008-DCW/Scheiblauer-2008-DCW-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Scheiblauer-2008-DCW/Scheiblauer-2008-DCW-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Scanopy" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Scheiblauer-2008-DCW/", "__class": "Publication" }, { "id": "WIMMER-2006-IP", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Instant Points: Fast Rendering of Unprocessed Point Clouds", "date": "2006-07", "abstract": "We present an algorithm to display enormous unprocessed point clouds\nat interactive rates without requiring long preprocessing. The\nnovelty here is that we do not make any assumptions about sampling\ndensity or availability of normal vectors for the points. This is\nvery important because such information is available only after\nlengthy postprocessing of scanned datasets, whereas users want to\ninteract with the dataset immediately. Instant Points is an\nout-of-core algorithm that makes use of nested octrees and an\nenhanced version of sequential point trees.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Altar", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 640, "image_height": 640, "name": "WIMMER-2006-IP-Altar.png", "type": "image/png", "size": 630140, "path": "Publication:WIMMER-2006-IP", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Altar.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Altar:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193, 614 ], "booktitle": "Proceedings Symposium on Point-Based Graphics 2006", "date_from": "2006-07-29", "date_to": "2006-07-30", "isbn": "3-90567-332-0", "lecturer": [ 193 ], "location": "Boston, USA", "organization": "Eurographics", "pages_from": "129", "pages_to": "136", "publisher": "Eurographics Association", "research_areas": [ "Geometry" ], "keywords": [ "unprocessed point clouds", "point-based rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Altar", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 640, "image_height": 640, "name": "WIMMER-2006-IP-Altar.png", "type": "image/png", "size": 630140, "path": "Publication:WIMMER-2006-IP", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Altar.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Altar:thumb{{size}}.png" }, { "description": "Birds eye view of the 262M point model of the Vienna Stephansdom, rendered with the Instant Points system.", "filetitle": "BirdsEye", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 640, "image_height": 640, "name": "WIMMER-2006-IP-BirdsEye.png", "type": "image/png", "size": 245510, "path": "Publication:WIMMER-2006-IP", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-BirdsEye.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-BirdsEye:thumb{{size}}.png" }, { "description": "Interior view of the Vienna Stephansdom, rendered at approximately 12fps on an NVIDIA 6800GTO.", "filetitle": "Interior", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1127, "name": "WIMMER-2006-IP-Interior.png", "type": "image/png", "size": 2175503, "path": "Publication:WIMMER-2006-IP", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Interior.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Interior:thumb{{size}}.png" }, { "description": "Inside the Stephansdom, looking from the high altar to the entrance, hovering right under the ceiling.", "filetitle": "Interior2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1127, "name": "WIMMER-2006-IP-Interior2.png", "type": "image/png", "size": 3084296, "path": "Publication:WIMMER-2006-IP", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Interior2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Interior2:thumb{{size}}.png" }, { "description": "Inside the Stephansdom, looking from the entrance to the high altar.", "filetitle": "Interior3", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1127, "name": "WIMMER-2006-IP-Interior3.png", "type": "image/png", "size": 3363236, "path": "Publication:WIMMER-2006-IP", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Interior3.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Interior3:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "WIMMER-2006-IP-Paper.pdf", "type": "application/pdf", "size": 4793684, "path": "Publication:WIMMER-2006-IP", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Paper:thumb{{size}}.png" }, { "description": "Screen-captured walkthrough of the Vienna Stephansdom using the Instant Points system. 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A point cloud is simply a set of unconnected 3D coordinates in cartesian space. Each coordinate of such a set is interpreted as a point in space. A point cloud is the result of a sampling process, where either a laser scanner samples a real environment, or the data structure of some already existing graphical model is point sampled. During rendering it is attempted to reconstruct the sampled\r\nmodel from the given point cloud. The algorithm presented in this thesis builds on two new data structures, namely Memory Optimized Sequential Point Trees and Nested Octrees. It includes an out-of-core part, which means that it is also possible to render models that do not fit in the main memory of the computer, and\r\nan occlusion-culling part, which means that objects, which are hidden by objects closer to the viewer, do not have to be rendered. The algorithm is developed primarily for the fast rendering of point clouds, i.e., with a high frame rate, whereas the visual quality of the rendered point clouds is not in the focus of this work. 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